Why High-Intent Commerce Needs More Than Last-Click Attribution

Jeff Segall, EVP of Revenue Operations for Shopnomix, and Todd Ulise, Global Chief Revenue Officer of Nomix Group, joined Lee-Ann Johnstone at Affiverse Media for a conversation about how performance teams can adapt as consumer intent becomes more distributed across search, social, creator content, AI surfaces, and commerce environments.

The discussion moves across last-click measurement, integrated search, high-intent supply, creator-led discovery, performance-based pricing, and the data infrastructure brands need to understand what is actually driving purchase behavior.

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Three Key Takeaways

1. Last Click Still Matters, but It Is Not Enough

    Segall and Ulise describe why last click has remained the default performance metric for so long. It is easy to understand, easy to verify, and easy for teams to defend. A shopper clicks, converts, and the channel receives credit.

    But the modern commerce journey is rarely that simple. A customer may see a creator recommendation, search for more information, compare products through a browser or AI assistant, return through a commerce surface, and only then complete a purchase. When the final click gets all the credit, brands risk undervaluing the earlier moments that created the demand.

    For Shopnomix, that makes measurement and attribution a more strategic conversation. Performance teams still need to know what converted, but they also need to understand which touchpoints created intent, moved the shopper forward, and helped make the transaction possible.

    2. Integrated Search Expands Where Intent Can Be Found

      The conversation frames integrated search as a shift away from thinking about search only as a traditional results page. Search is still about intent, but the expression of intent is moving earlier and appearing in more environments.

      Ulise describes integrated search as intent that can be identified inside devices, browsers, AI agents, and other distributed experiences before a consumer performs a traditional search action. That changes how brands should think about high-intent traffic.

      The opportunity is no longer limited to waiting for a shopper to type a query and click through a familiar page. The opportunity is to recognize active, passive, and implied intent across more surfaces, then route that shopper toward the right product, offer, or experience.

      For brands, this is especially important as AI changes how people ask questions, compare products, and make purchase decisions. The signal is still there. It is just showing up in different places.

      3. Performance Requires Better Data, Not More Channel Fighting

        Segall points to one of the most important operational issues for brands: teams often have separate budgets, separate goals, and separate views of performance. Search, affiliate, paid media, social, and creator teams may all influence the same customer journey, but they are not always measured against the same business outcome.

        That creates friction. It also makes it harder for brands to decide where to invest, how to compensate partners, and how to understand the real value of each interaction.

        Shopnomix’s role is to help brands work from a more data-driven foundation. That includes understanding where intent is coming from, how traffic is performing, which supply sources are creating value, and how different commerce touchpoints should be measured.

        The goal is not to force every partner, publisher, creator, or search environment into the same role. The goal is to build a clearer performance system that can value different contributions while still tying investment back to outcomes.

        Why It Matters for Brands

        The practical thread running through the conversation is that commerce performance is becoming more complex, but also more measurable.

        Brands can no longer rely only on a simple path from query to click to purchase. They need to understand the broader journey: where the shopper discovered the product, what influenced the decision, which signals showed intent, and which partner or platform helped move the shopper closer to conversion.

        That requires cleaner data, stronger reporting, and a willingness to test beyond legacy channel assumptions. It also requires a more flexible view of performance economics. CPA, CPS, revenue share, hybrid models, and other outcome-based structures can all play a role, but only when brands understand what each touchpoint is worth.

        For performance teams, the message is clear: the future is not about abandoning accountability. It is about expanding accountability across the full path to purchase.

        The next phase of high-intent commerce will not be won by the team that claims the last click. It will be won by the brands and partners that can identify intent earlier, measure contribution more accurately, and connect shoppers to outcomes wherever commerce happens.

        Full Transcript

        Transcript lightly edited for clarity, readability, and speaker attribution.

        Speakers: Lee-Ann Johnstone, host; Jeff Segall, EVP of Revenue Operations for Shopnomix; Todd Ulise, Global Chief Revenue Officer of Nomix Group.

        Lee-Ann Johnstone:

        We have a few fabulous guests who I am really excited to get into the nitty-gritty with. To introduce yourselves, tell us a little bit about Shopnomix and Nomix Group, and then we will get into the thick of our conversation. I am going to pick Todd first because you are at the top of my screen. Welcome onto the show and tell everybody a little bit about who you are, what you do, and why you are here.

        Todd Ulise:

        Thank you so much, Lee-Ann. I really appreciate it. I look forward to having a great conversation today. I am Todd Ulise, Global Chief Revenue Officer of Nomix Group. I have been in digital marketing for 26 years.

        I started at a company called Traffic Marketplace. We built the second-largest performance ad network in the world starting back in 2000. We ended up selling that to Vivendi Universal. We solved the problem of performance marketing and risk back in 2000.

        Then I started a digital agency called IMS, promoting comedians and developing content. We vertically integrated in the comedy space because comedy marketing was underserved, and we ended up selling that business in 2011.

        Then I worked for ad.net in the incremental search space for about 14 years. We realized that search needed to be syndicated. I exited that and came to Nomix Group as Global Chief Revenue Officer earlier this year. It has been a whirlwind seeing what the team is doing and helping take the business to the next level.

        Lee-Ann Johnstone:

        Four companies within 26 years. We have digital royalty joining us today. Since the dawn of time, you have seen it all, which is why I love having conversations with you.

        Jeff Segall:

        Thank you. I am Jeff Segall, EVP of Revenue Operations for Shopnomix. I have been with Shopnomix about three and a half years now, which is not too bad for a company that is only about four years old.

        I have been in the industry for about 12 or 13 years across two companies. Before Shopnomix, I worked for a CPC network. My background is actually in software engineering. When I joined the industry, I came in as an engineer working on optimization algorithms, web servers, and making sure traffic was getting to the right place.

        I moved from engineering into an engineering and operations hybrid, and now into revenue operations. When I tell people what I do, I say that I sit at the intersection of engineering, finance, sales, and client services. I make sure everybody has the data they need, the traffic is flowing, and the reporting is where it needs to be.

        Lee-Ann Johnstone:

        Two very experienced people are joining me here today, which is great because we are going to be digging into a subject where we are still on the precipice of what is changing. Nobody really understands how consumer behavior is being affected by all the new AEO and GEO platforms. SEO is being given a run for its money again since it first burst onto the scene.

        Let’s set the scene. There is a massive market shift, especially in the performance space, because last click has always been the vanity metric we have been measured on. That has been blown out of the water this year as we started to see consumer behavior change. Discovery, influence, and intent are now all over the place.

        There is no single funnel where people go to a website, then a review page, then maybe click on a social media link, then find a coupon, and then purchase. I want to dig into what is changing right now and help everybody joining us understand how they need to navigate this shift. For those of us who have been in the industry for a very long time, this is probably one of the most exciting big things that has happened in the last two decades. It is like the next iteration of the internet is being born, and we have front-row seats to watch it.

        Todd, when you look at commerce performance today, what has changed most about where influence is actually happening? You have a lot of data in terms of how customers are purchasing online. Give us the start there.

        Todd Ulise:

        We will take a step back and look at where it is going. Shopnomix was founded based on the economics of shopping and the knowledge that shopping was going to shift. Through rapid growth over the last three and a half years, through acquisitions and internal development, we realized that performance at the bottom of the funnel is one piece of it, but the bigger question is how else consumers are interacting.

        If you look at what has been happening in Asia, consumers have purchased through live streams for many years. The model in Europe and America is moving away from traditional last click and toward a more holistic approach.

        Through acquisitions and development, Nomix Group was formed as a holding company that has Shopnomix as well as other entities, including platforms with 400,000 creators.

        On last click, last click has always been easy. I have heard for 20-plus years about the death of last click. Why do we all default to it? Because it is easy and safe. You can say, my channel gets credit for this. I can verify it through Google Analytics or SA360, so I get credit, I have a job, and my channel is doing well.

        As we go forward, that ecosystem is blown up. It takes leaders to come to the table and say there are different ways consumers interact. You can see an ad from a creator. You can do a live shopping ad. You might purchase after starting your journey in different places.

        The world is getting more fragmented, and that is a big piece of what Nomix Group solves. It solves fragmentation through Commerce, Everywhere. We will get into how we do that through creators and integrated search. Last click is inherent by default, and it is safe, but it is not right. It is not what is going to drive this business forward.

        Lee-Ann Johnstone:

        Jeff, brands are still operating as if the customer journey is more linear than it really is. I was in a boardroom yesterday with a C-suite client, and we were identifying where the budget was going to come from for the performance team, because it has to come from everywhere. It is not a channel on its own anymore.

        If the buyer is being influenced before they ever reach a brand site, what does that mean for affiliate and performance teams?

        Jeff Segall:

        It means you have to spend more time identifying what all those different touchpoints are. Last-click attribution has been the gold standard for decades because the journey has always been simple. A user types a query, is driven to a page, and makes a purchase. Or the user is on a blog, clicks a link, and makes a purchase. That provenance has always been there.

        Now there are all these different touchpoints that on their own may not even have their own attribution. It is not just a problem of understanding what those touchpoints are. It is also understanding how we measure them and validate them. That is going to be a big conversation going forward.

        Lee-Ann Johnstone:

        The channel label is breaking down. We are seeing this already in the way clients are putting budget toward performance. They are pulling a little from PR, SEO, and paid media. They do not really budget affiliate as a channel anymore because it is integrated everywhere. It is a payment mechanism. It is paid on performance.

        Todd, you mentioned everyone is fighting to own the channel. What is happening right now, and who loses?

        Todd Ulise:

        What we are seeing is that people are scared, just to be transparent. People are scared because they want to know which channel gets credit. Where does AI sit? Does it sit within search? Does it sit within affiliate? What about creators? Creators create content. Where does content sit? Content traditionally is thought of as articles, so there is channel overlap.

        What we ultimately envision is that every channel has its own efficacy and its own performance metric. Affiliate is a payment mechanism, and I think that puts affiliate marketing, or performance marketing, in a better framework because we can track down to the most granular level. We can value each piece of media, each click, and each user based on what they perform at or what they are worth.

        The conversations need to expand. Traditionally, a lot of brands and agencies tend to be siloed. Part of what Nomix Group has done with Commerce, Everywhere is bring those silos together and get them talking.

        If you show that you are helping, and you have access to massive distribution, performance marketing, distribution infrastructure, and velocity on deployment for creative, then the infrastructure is there. It is about getting teams to talk and showing how these things work together. It is about negotiating from growth, not fear.

        Is AI going to take money away from search? Is AI moving toward affiliate? Is creator affiliate? Is content search? At the end of the day, to a consumer, it does not matter. To a C-level brand leader, it does not really matter. It is just how you flag it, tag it, and value it.

        Lee-Ann Johnstone:

        Some people have that level of tracking, but some still do not. There is going to be catch-up needed on the brand side. Now that we can track these events and the things directing a consumer to purchase, we can also incentivize on economics of scale. Maybe the first touchpoint gets 5% and the last touchpoint gets 95%. I do not know what that metric is, and it is different for every client.

        Jeff, what confusion are you seeing with clients who come to you with budget and say they want sales and customers, but they are not seeing the full halo effect of everything they should be tracking?

        Jeff Segall:

        There is still a lot of segmentation, but there is also a lot of contention between teams, as Todd mentioned. You have traditional search teams with their buckets and the things they have historically controlled. You have performance teams with the things they have historically controlled.

        We see contention or fighting between teams instead of having them work together on an overall media strategy. At the end of the day, what is beneficial to the brand is making sure we can combine these things, have those teams work together, and build an overall strategy for growth.

        Lee-Ann Johnstone:

        How many clients are actually adopting this process? Are the bigger brands already coming to the table and adopting this new methodology, or are brands still not understanding it?

        Todd Ulise:

        When you introduce new concepts, people are averse to change. We have talked about this before: it is not technology problems, it is people problems. At its core, technology can solve the problems. The question is whether the human mind is ready to adapt.

        When you introduce what I would not even call new things, but the right thing, it is the right way to value all pieces of media and all interaction.

        Think about buying something on a discount site. How much time do you spend there? Maybe 10 seconds. But what led to that purchase? Was it reviewing? Was it watching a TikTok video from a creator? You could have spent 10 minutes reviewing and interacting with a product, but the end transaction happens on a discount site. That site gets credit.

        Why did you go to the discount site? Because you wanted 20% off. Value that piece of media for what it is worth, but value the interaction that got you to that path of purchase at a higher value.

        When you put it into pragmatic terms, people start to get it. But understanding and actually taking action are different. That takes time. You have to take an educational strategy and be agnostic to media.

        I have always been agnostic to channels. Media performs. You have to be objective about the path to purchase. We have taken the approach of Commerce, Everywhere. It is an ongoing conversation, and the way to continue it is to be upfront with clients about what they are doing and how we can help them value what we are doing.

        Lee-Ann Johnstone:

        It also takes transparency, because even marrying affiliate platform data with what a client sees in their backend can be hard. Before we get into where the market is going, what did you learn from building in the affiliate ecosystem first? Jeff, I will come to you on that one.

        Jeff Segall:

        The biggest thing is how to operate with performance. Whether it is affiliate, search, or new channels, everything is performance. The goals may be different. The payout structures may be different. But at the end of the day, we are trying to drive sales for the brand.

        A lot of the learnings are around how we track performance, how we optimize for performance, and how we have conversations with individual brands. Everybody has different goals and different metrics. We need to work with teams in the correct way, meet their goals, and help them achieve what they want to achieve.

        Lee-Ann Johnstone:

        That means you need to be able to provide bespoke service. It is not plug and play. You are having close relationships with clients to understand what their value metrics are, and then hit the goals they are internally measured on.

        Todd, you have seen many iterations of the internet. This is scary to most people, but you seem relaxed, as if it is another ebb and flow of the internet.

        Todd Ulise:

        There are no really new business models, just new mousetraps. Brands want to reach consumers in the most effective manner possible, and publishers want to increase eyeballs and revenue. It is really that simple.

        I got onto the internet in 2000. The dot-com bust happened, and what did that give rise to? Performance-based marketing. If you can quantify results, you can justify media.

        You can see trends. One benefit we have on the Shopnomix side is looking at a lot of data. Consumer behavior shifts after events. After 9/11, travel died. After the pandemic, in-store retail died, but other things rose. You can see where dollars shift. Query data and volume data show what people are buying.

        There are cycles. Weekend traffic and performance change because people are out with their families. You see pizza spikes during the Super Bowl and flower spikes on certain days. It is not uncommon. You have to look at it in perspective.

        Even in 2008 and 2009, when the economy was down, it gave rise to other categories. People went back to school, so education rose. Finance and refinance lead generation rose. Overall media dollars shift into different channels. The key is anticipating the shift.

        Now channels are investing in AI. The question is who gets credit for those channels and where those dollars are being pulled from. People are struggling with that.

        AI also allows content and inventory to scale at a lower cost. If a CMO has a $20 million budget and content costs decrease, they are not giving $5 million back. Those dollars will go more into media. More inventory gives rise to more performance marketing.

        The infrastructure built through affiliate and performance marketing allows the payment and deployment infrastructure to extend to the rest of the media channels. That is why I think the affiliate business is in a good position to capitalize. It is my mission to uplevel affiliate and call it performance marketing, because all channels eventually move toward a rate-rules model. If we continue to uplevel affiliate and use the best parts of it, more dollars can be directed toward the affiliate world and pulled from traditional media that does not perform.

        Lee-Ann Johnstone:

        That is reassuring. A lot of people are wondering how to justify their jobs, and you have justified it right there. The more efficient we get and the more we understand where to spend our money wisely, the bigger performance marketing becomes.

        I am going to quickly ask some audience questions. The first question is from LinkedIn: can smaller ecommerce stores affordably use your solutions too? Are you working only with big brands, or with any retailer that wants to reach customers across the channels Nomix Group works in?

        Todd Ulise:

        Absolutely. It ultimately comes down to volume. The system is set up so that we ensure performance for all partners, because if you do not ensure performance, you do not get renewals.

        The fundamental pillars are distribution infrastructure, creative velocity, and performance economics. The challenge is always volume. Any media ecosystem has a bell curve. If there is low volume, you will get low volume everywhere. The short answer is yes, of course we can. But we have to be mindful of volume.

        Jeff heads rev ops for the company, and it is about looking at the data and the goals. Sometimes the way to get more inventory is to have looser goals so you can capture more market share.

        Lee-Ann Johnstone:

        Another question: what creates the bigger constraint to growth today, technology limitations or organizational resistance to change? Jeff, maybe you can take this one.

        Jeff Segall:

        It is probably a little bit of both, but I would lean more toward organizational resistance. The engineer in me will say we can always build technology to solve whatever problem we are trying to solve. There is a conversation around the best way to do it.

        It is not necessarily just a conversation between Shopnomix and a brand. It is a general industry conversation: how do we, as an industry, better figure out what the technology looks like to solve this problem? That is a solvable problem. It is more about getting everybody together to find the solution, and then working together as an industry to build it.

        Lee-Ann Johnstone:

        Let’s get into the Shopnomix model. How does it look different from conventional affiliate or paid search execution? Jeff, explain.

        Jeff Segall:

        Like Todd said, the model of Nomix Group is Commerce, Everywhere. The difference between what we do and traditional models is building an overall media strategy. It is all individual touchpoints that come from a lot of different places.

        On the Shopnomix side, we work with what we like to call hard-to-access, high-intent supply. It is identifying user intent at the exact right moment and getting the user to where they need to go.

        That can be a combination of search, social, creator, AI, and more. The difference is being able to merge all those things and bring a unified plan to the brands we work with.

        Lee-Ann Johnstone:

        Todd, when you say integrated search, what do you mean beyond the traditional search results page? A lot of people do not understand what search means anymore. It is everything, everywhere, all at once.

        Todd Ulise:

        People often focus on the execution of search. They think of the search results page. But when you peel back the onion, you have to look at the meaning and motivation behind what someone is trying to do. It is really intent.

        Intent is often mistaken for the execution of intent. Traditionally, execution meant typing something into a search box and seeing a page of results. As we move forward in an AI world, search is becoming more integrated.

        We have codified the term integrated search, and we are seeing strong receptivity from people who understand and want to get involved. What it truly means is that you are integrated within the device, within the browser, and within AI agents. It is literally in the name.

        You are establishing intent before the user does a physical interaction. You are native to AI agents. You are not going to a website, typing something in, and seeing a search ad. I would call that latent search versus integrated search. Intent is moving upstream.

        Search has not changed much in 20-plus years. Now it has moved upstream into devices, AI browsers, and other integrated environments. That changes the fundamentals, including ad copy, keywords, and content.

        You can broadly define search as anything that establishes intent, whether active intent, passive intent, or implied intent. That creates more openness around where search is going.

        Query volume is decreasing because of AI, and that will continue. The dollars are not going away. They are shifting. We have the organizational ability to capture those dollars where they are moving at scale.

        Lee-Ann Johnstone:

        That is why there has been a fundamental shift in affiliate programs. You cannot just invest in SEO, PPC, and content-related affiliates anymore. You have social media affiliates selling direct from feeds, integrated environments, closed communities, and all kinds of places where intent is happening.

        Now I want to talk about creators and content. Usually they sit in a different budget area under social media, but now they are moving into performance and affiliate. Operationally, what needs to change? Jeff, when creator-led discovery is treated as part of the performance system, what do clients need to change?

        Jeff Segall:

        At the end of the day, it comes back to attribution and credit. If I am a creator making content and sparking the beginning of the journey, how do I make sure I get credit for that process? How do I make sure I get the revenue back that I need to continue making content, promoting products, and making recommendations?

        Between the creator side and the brand side, it is about making sure there are defined mechanisms for keeping that attribution alive and making sure we have the data to track the user journey.

        Lee-Ann Johnstone:

        How do brands avoid forcing creators and traditional affiliates into the same roles while still measuring them against shared business outcomes?

        Todd Ulise:

        You have to have conversations. Creators create content. Ultimately, it comes down to how brands look at payouts, and it comes back to channel fighting and attribution.

        To Jeff’s point, it is about making sure people are paid what they are worth. The creator economy is drastically underpaid for the value it creates. If you look at how much time and attention are spent on creators versus other media, and where the dollars are flowing, there is a gap.

        It takes time because it means shifting money. It takes a CMO or VP of marketing who is agnostic to channels and not focused on which team is fighting for which credit. In an ideal world, we will be objective about all media, and I think we are getting there.

        The world has become more fragmented. People may start with a question in an AI chatbot and then interact somewhere else. There are more options and channels to buy. That is why having a company like Nomix Group, with distribution infrastructure across channels, matters. Many companies solve one piece, whether that is channels, performance, or creative velocity. We can solve and activate across all these channels in real time.

        One of the things we have done is our AI content studio, Fanomix, which is where we see a lot of uptake. It allows dollars to be reinvested into performance marketing if you can decrease content production costs.

        Lee-Ann Johnstone:
        You are giving everyone who tunes into this webinar some free credits for Fanomix to check it out. Tell everyone a little bit about what Fanomix is and does.

        Todd Ulise:

        Fanomix is our AI-driven content studio. We spent years developing it and did a hard launch a few months ago. The common complaints about AI-driven content are that the quality is not good or that AI content will take jobs. We do not think that is true.

        If you are a creator, how much content can you produce yourself per day? Maybe a couple of videos. What if we can take that up 20 times? You have more volume, which means more ad opportunities.

        From a brand perspective, say the total brand budget is $20 million and 30% of that goes toward commercials, paying people, and production. That is $6 million. If the head of marketing can take that cost down significantly, they have more money to invest into media to get more customers.

        That is where AI fits into performance marketing. It creates cost savings for brands, amplification for customers, and content performance that can be deployed at scale and tracked in real time.

        We want people to test Fanomix. We have invested significantly in it. We think the future of AI is sight, sound, and motion. The fear that AI will take creative jobs misses the point. You cannot outsource storytelling. You still need the right person, the right consumer, and the right demographic. The execution cost goes down, which allows more dollars to flow into performance marketing.

        Lee-Ann Johnstone:

        There is also an integrated search ebook that people can download after watching this webinar. With all this, the thing that stands out is that if I get more data, more transparency, and can influence the customer across more channels, I also need to rethink how I pay.

        For years, we have been pigeonholed into CPA, revenue share, hybrid models, or fixed fees. Now we can talk about outcome-based economics. What needs to be true operationally before a brand can confidently shift spend? Jeff, I think this one is for you.

        Jeff Segall:

        It is all part of the ongoing conversation. What are each of these channels worth, and what should the pay structure look like?

        One of the nice things about CPA, CPS, or revenue share is that it is the purest form of payment. You are paying for performance. It is the ultimate de-risker because you pay when the sale is generated. From that perspective, companies love CPA because it de-risks the budget.

        After that, it becomes a continuing conversation. We have all these touchpoints. What is each one worth? Historically, if someone is working on a CPA, everything gets bucketed the same. But performance is not always the same. The journey is not always the same. It is part of an ongoing partnership to identify what something is worth, how it fits into the overall strategy, and how to pay out on it.

        Lee-Ann Johnstone:

        Now brands have the choice. Before, everything was benchmarked against last click, and the user journey was A, B, C. Now the user journey can be many different combinations. Who gets the reward for all that intent, and where is the intent coming from? The channel is now basically irrelevant. It matters who pushed the customer further down the funnel.

        We are talking about the possibilities of what the future of performance could look like and how people need to think beyond the status quo of the last 25 years.

        What do brands and publishers need to do now? If a brand wants to modernize its commerce performance strategy, where should they start in the next 90 days?

        Todd Ulise:

        First, they need to talk to Nomix Group.

        They also need to understand that the media ecosystem is changing and have honest conversations with themselves. If citations get monetized, people will monetize all places. Think of a canvas where you place things in front of people. The canvases have shifted from television to devices, and to smaller and smaller devices. The canvases will continue to shift.

        Brands need to understand that shift and make sure tracking is in place so they can value the user. As Jeff said, it is about making sure tracking is set up and the user is valued.

        Brands need to look in the mirror and say, let’s stop fighting over channel. What are we trying to do? How much are we trying to value it?

        When I ran media and publishing teams earlier in my career, I always said to perform 10 or 15 percent better. That gives you 10 percent to invest in exploratory channels, to tie things together and get learnings instead of saying you have to hit one goal by one date and pull money from elsewhere.

        Brands should have open and honest conversations. Publishers need to continue growing eyeballs because they are losing them upfront. The publishing world is hurting. Part of the value of Shopnomix is helping publishers by bringing our portfolio of demand, new products, and revenue monetization solutions at scale, with white-glove service.

        Lee-Ann Johnstone:

        Jeff, from your perspective, what are the top tips for the next 90 days?

        Jeff Segall:

        The name of the game is data-driven decisions. If I am a brand working on my strategy over the next 90 days, the biggest things are making sure we have the conversations, understand what the strategy might look like, and just as importantly, make sure the infrastructure is in place to measure all of it.

        Without measurement, you are flying blind. You need to understand the process, understand what the infrastructure looks like, and make sure tracking and reporting are set up so you can evaluate everything that comes in.

        Lee-Ann Johnstone:
        Is this something your account management team can advise people on? If they come to you and say they want their products everywhere all at once, you help them plan that out?

        Jeff Segall:
        Yes, absolutely. With any relationship we have, we want it to be a partnership. We work with you to identify your goals, what the strategy should be, and how to achieve those goals in the right way.

        Lee-Ann Johnstone:

        What is the conversation the industry needs to be having? It is fine for brands to come and talk to you, but as an industry, what should we be discussing?

        Todd Ulise:

        The conversation the industry needs to have is getting away from affiliate as only transaction. Transaction is the bare bones of any relationship. Jeff hit the nail on the head: it is partnership.

        This is part of upleveling affiliate from transaction to partnership. When you have true partnerships, you can create transformational change. It becomes less about whether you hit a single goal and more about how you are helping the brand grow.

        A lot of companies in affiliate are smaller companies, and that is fine. You can have a transaction where you sell two products a day. But if you are selling 20 million products a day, that is exciting.

        We see brands focusing on bigger players because there is a lot of media noise. That is what puts Nomix Group in a good position. We have built distribution scale and can activate across services.

        It is not just saying we can sell a product and get $5. It is saying, here is access to the channels we have, here is what each is worth, and here is the conversation we need to have.

        I encourage the team to have as many calls and conversations as possible instead of just back-and-forth emails. We need to uplevel affiliate into performance marketing and give the industry a guidebook for how to do it. It is about moving from transactional to partnership, and then to transformational.

        Lee-Ann Johnstone:

        We are on the precipice of change. The way advertisers and brands run marketing teams now has to adjust. You get a head of affiliate, head of performance, head of paid, head of social, but now it is all marketing because everything is integrated, and performance is going to win because everyone wants to pay after the fact and not before.

        We could see a massive shift in this industry if we get the data and can commercialize the pieces we value. For one brand, the most valuable customer may be a repeat purchaser. For another, it may be a net-new customer. We are getting to the point where we can pay for those things.

        It has been incredibly interesting talking to you about what is happening in the space. I want to thank the people who asked questions because we love to interact with you during these sessions.

        We will link everything for you, including the Fanomix free credits so you can create some content. We will also link the integrated search ebook so you can educate yourself on what is changing and what you need to look at.

        Remember the rules of the game: check your data, have conversations with people who can help you, think about what you want to build your partnerships around, and keep learning. None of us can foretell the future. We are all living it as we go. Do not be afraid. Be flexible, and keep listening to experienced people who can help show the way forward.

        Thank you both for being on this webinar with me today. It was a real pleasure to dig into both of your experiences and see what Shopnomix is seeing and what Nomix Group is building. Super exciting.

        Todd Ulise:

        Thank you so much.

        Jeff Segall:

        Likewise. Thank you, Lee-Ann.

        Todd Ulise on The Affiliate Marketing Podcast: Creator Convergence, Affiliates and Performance Outcomes

        Todd Ulise joined Lee-Ann Johnstone, host of The Affiliate Marketing Podcast, for a conversation about what happens when affiliate programs, creator partnerships, and performance economics begin to converge.

        The discussion moves across creator-led influence, unified measurement, brand safety, intent signals, outcome-based pricing, and the need for brands to manage different partner types without forcing them into the same workflow.

        Listen to the Conversation

        Prefer audio? Listen on Apple Podcasts or Spotify.

        Three Key Takeaways

        1. Creators and Affiliates Need Shared Measurement, Not Identical Workflows

        Ulise explains that traditional affiliate publishers and creators can belong inside the same broader program, but they should not be managed as if they play the same role in the customer journey. Affiliates are often optimized around conversion capture, while creators may shape demand earlier through trust, attention, and influence.

        For brands, the opportunity is to build one source of truth for value while still giving each partner type the right economic model. That means measuring verified transaction outcomes, contribution quality, incrementality, and conversion efficiency without forcing every partner into the same payout or timeline.

        2. The Biggest Barrier Is Organizational Alignment

        The conversation repeatedly returns to ownership, budgets, and incentives. Ulise argues that the challenge is not primarily whether technology can track more complex partner journeys. The larger problem is that affiliate, creator, media, and commerce teams are often compensated and evaluated differently.

        That makes C-level alignment essential. When leadership defines a unified outcome framework, teams can stop fighting over attribution and start managing the full media mix around customer value, performance economics, and long-term market share.

        3. Intent Is Moving Earlier and Becoming More Distributed

        Ulise describes a market where commercial intent no longer begins with a traditional keyword search. It shows up in conversational AI, creator environments, browser experiences, review content, commerce surfaces, and other distributed touchpoints before the user reaches a checkout page.

        For affiliate and ecommerce leaders, that changes what performance means. Clicks without context are a weak signal. The stronger opportunity is to understand where intent is forming, capture it earlier, and connect those signals to verified outcomes across the full commerce journey.

        Why It Matters for Brands

        The practical thread running through the episode is that affiliate commerce is becoming a broader performance-based media system. Brands need cleaner measurement, clearer partner economics, stronger creator strategies, and leadership alignment that treats creators, publishers, search, AI surfaces, and commerce infrastructure as connected parts of the same revenue system.

        The next phase of affiliate growth will not be defined by last-click credit alone. It will be defined by how well brands connect trusted influence, distributed intent, operational transparency, and outcome-based pricing into programs that can scale without losing accountability.

        Full Transcript

        Transcript lightly edited for clarity, readability, and speaker attribution.

        Speakers: Lee-Ann Johnstone, host of The Affiliate Marketing Podcast; Todd Ulise, Chief Revenue Officer of Nomix Group.

        Todd Ulise:

        So, really, the better way to think about this is that different partner types can live inside the same program, but they shouldn’t be forced into the same economic workflow.

        Lee-Ann Johnstone:

        You’re listening to The Affiliate Marketing Podcast, powered by Affiverse, the ultimate destination for affiliate program news, insights, growth opportunities, partnerships, and affiliate program strategy.

        Lee-Ann Johnstone:

        If you’ve been following this show, you’ll know we’ve been deep in conversation about what happens when affiliate programs start colliding with the creator economy. We explored it with the team at Levanta in a recent episode, and if you missed that, you can go back on site and give it a listen, because today’s conversation picks up exactly where that thread left off.

        Lee-Ann Johnstone:

        My guest today has been in the trenches of performance marketing for over two decades, scaling programs, building partnerships, and now sitting in the chief revenue officer’s seat at Nomix Group, overseeing a portfolio of platforms that includes Shopnomix and other Nomix Group businesses.

        Lee-Ann Johnstone:

        Before this, he spent 14 years as SVP at ad.net, helping drive that business into eight-figure revenue. Across his career, he’s been responsible for growing programs to over $150 million in annual revenue.

        Lee-Ann Johnstone:

        The conversation we’re about to have is one I think every affiliate manager and every brand running an affiliate program needs to hear, because it’s about what actually happens when you stop treating creators and traditional affiliates as separate budget lines and start measuring both against the same verified transaction outcomes.

        Lee-Ann Johnstone:

        Welcome back to this week’s episode of The Affiliate Marketing Podcast with me, your host, Lee-Ann Johnstone. I met this gentleman finally in person in Vegas earlier this year, and now here he is on our mic. It is Todd Ulise. He’s the Chief Revenue Officer of Nomix Group, which is doing some amazing things, and we’re going to get all into that in a minute. Todd, welcome onto the show. It is a pleasure to have you here. It’s a long time coming, and I’m super excited to get started.

        Todd Ulise:

        Thank you so much, Lee-Ann. I’m really excited to be here. It’s definitely a long time coming, and I’m happy to have this conversation today.

        Lee-Ann Johnstone:

        To get us started, I think it would probably be best for me to ask you to introduce yourself and say hello to my audience. You are, I’m going to say, an OG. You’ve been in the industry for decades, and not to make you sound old, but you’ve had a very long, illustrious career in affiliate marketing.

        Lee-Ann Johnstone:

        Maybe give us a little bit of that background first, and then we’re going to pick your brains about the convergence of affiliate and creator.

        Todd Ulise:

        I’ve been in digital for 26 years. After university, I packed up my car with no job and no money and moved from Tucson, Arizona, to Seattle, Washington, so probably the polar opposite in terms of weather.

        Todd Ulise:

        I worked at Amazon for a little bit, then worked for a digital startup that was the hot new internet company in Seattle one week, and then the venture capitalists pulled out a week later. A typical startup story from when the internet was hot.

        Todd Ulise:

        I came back to Los Angeles and joined a company called Traffic Marketplace. We were an ad network before the “ad network” name really came to the fore. We brought the pop-under ad unit to the marketplace and built a big banner display distribution business. I ran the publishing team and found a pain point: publishers were hurting for revenue, and there was an opportunity to build incremental revenue solutions for them.

        Todd Ulise:

        We had tremendous growth and ended up selling the company to Vivendi Universal. We operated that for a number of years, and then Vivendi was looking to divest the asset. We were in conversations with a company called Overture at the time to take my display distribution, which was one of the biggest ad networks in the world, and put search results into it.

        Todd Ulise:

        Back in 2002 or 2003, Yahoo came in and bought Overture, and the deal fell off the table. The company divested.

        Todd Ulise:

        About a year later, a friend of mine who was a comedy producer reached out to me because I knew digital marketing and affiliate marketing. He said, “Hey, do my digital marketing for me.” He ended up becoming one of the biggest comedy producers in the world. Before I knew it, I was doing marketing for a guy named Dane Cook, who had the biggest-selling comedy release since Jimmy Carter was president in the States.

        Todd Ulise:

        We were doing things like social promotions, which at the time meant Myspace, and working with bloggers on content, which was basically influencers before we used that term. That was around 2004. I found a second pain point, which was that comedy marketing was underserved, and built a business around that. We built a portfolio of comedy websites and sold that entity in 2011.

        Todd Ulise:

        Flash forward, I started with a company called ad.net and built the incremental search ecosystem, because search was monopolistic with Google in 2011. And who did that hurt? It hurt brands. That was another pain point.

        Todd Ulise:

        We ended up selling a majority portion of that business to a private equity firm in 2021.

        Todd Ulise:

        So, the history of my career is: find a problem, solve the problem, scale the business, and sell it. I’ve done that across three entities over 26 years.

        Todd Ulise:

        I came aboard Nomix Group back in January as Chief Revenue Officer. I saw what they were doing and liked where the business was growing. Talking again about finding a problem, the problem Nomix Group is solving is fragmentation. The media ecosystem is more fragmented than ever, and we address that through our commerce-everywhere solutions, especially with the conversation today around creators and taking affiliate marketing into the creator space.

        Todd Ulise:

        So that’s my 26-year career in a nutshell.

        Lee-Ann Johnstone:

        It’s also a massive history lesson for anybody listening, because a lot of those companies were like Google when I was coming up the ranks. You got in early, right as the door was opening, and you saw how those companies were built, exited, sold, and how they solved problems.

        Lee-Ann Johnstone:

        It’s your career, but it’s also the history of how this industry has evolved. That’s why I love having people like you on the podcast, because all of this knowledge isn’t written down in history books. If you’re new to the industry, you’re really lucky to be listening to this podcast today, because Todd has a bird’s-eye view of what’s happened over the last 20-plus years in the industry and why it is the way it is today.

        Lee-Ann Johnstone:

        I’m super thrilled to have you here and thank you very much for being here and sharing your time with us. It’s invaluable.

        Lee-Ann Johnstone:

        Let’s talk about where we are now. Like you said, your career has been about spotting problems and seeing fragmentation. Where does it break down right now? What’s happening with the convergence of the affiliate and creator sectors?

        Lee-Ann Johnstone:

        There was news that came out recently that Target has stopped its creator program as part of its affiliate program, and it’s looking at working with nano-influencers instead because it has seen consumers resonate more with content creators who aren’t necessarily ambassadors.

        Lee-Ann Johnstone:

        Where do you see things breaking down right now, and what is Nomix Group trying to solve?

        Todd Ulise:

        Every brand wants to reach consumers in the most efficient manner possible, and every publisher wants to maximize revenue and eyeballs. The mousetraps may change year over year, but the performance economics are always similar.

        Todd Ulise:

        Traditionally, it breaks down when a brand tries to force creators and affiliates into the same operating logic without understanding that each plays a different role in the journey.

        Todd Ulise:

        Traditional affiliate publishers are optimized around conversion capture, harvesting demand, and lower-funnel activity. Creators often get into higher-funnel engagement. The challenge we face is that they’re often briefed in the same way and judged on the same timeline. That’s where the friction starts, because creators and affiliate marketers are different pieces of the ecosystem.

        Todd Ulise:

        The better way to think about it is that different partner types can live inside the same program, but they shouldn’t be forced into the same economic workflow.

        Todd Ulise:

        People want a unified measurement framework, but they don’t always want to look at partner management in a unified way. You can’t really have it both ways.

        Todd Ulise:

        We need to rethink the structure so that it reflects how consumers actually move in the real world across creators, AI surfaces, search environments, and other discovery points. It’s not one clean, linear path.

        Lee-Ann Johnstone:

        It’s a big problem right now because of the fragmentation across channels, across partner types, and now even across how people enter the internet. Nobody goes to Google first anymore. That brand awareness or consideration funnel no longer exists in the same way because of the advent of GEO and AI-driven search.

        Lee-Ann Johnstone:

        We had Cullen on the podcast a couple of months back, and we were talking specifically about that. That was six months ago already, and now it’s even more prevalent.

        Lee-Ann Johnstone:

        How do we solve the budget-line problem? As a performance marketer, you’re paying on performance, but you could be paying on performance across multiple channels and traffic sources. How do you create certain influencer budgets, affiliate performance budgets, and reconcile all of this now?

        Todd Ulise:

        Even compared to six months ago, the pace has accelerated significantly. The consumer journey is fragmented, so what really has to change is structural: ownership. Where does the money flow?

        Todd Ulise:

        If creators are poured into one budget owner and affiliates into another, both teams are measured against different success metrics. You’re never really comparing them on the same basis — apples to apples.

        Todd Ulise:

        It’s the age-old argument in internet marketing: optimizing to channels and attribution. I like to call it “who stole my cookies?” for lack of a better term, because people are fighting over attribution.

        Todd Ulise:

        The shift has to move into an outcome framework. Every creator doesn’t need to be paid exactly like a lower-funnel affiliate, but the business needs one source of truth for what value looks like.

        Todd Ulise:

        Both sides need to be reconciled against verified transaction outcomes, contribution quality, incrementality, and conversion efficiency.

        Todd Ulise:

        Then the conversation changes. You look at it as a holistic marketing program instead of channel managers fighting against each other. Then you can decide what makes sense: fixed fees, CPA, a hybrid model. But until the measurement model is unified, the problem never really gets solved.

        Todd Ulise:

        I’m anxious to see how Target’s approach plays out. Brands often put different strategies together, and we’ll see the efficacy. Then, as an industry — marketers, platforms, and partners — we can pivot, change, and look at things holistically. I always applaud brands for testing things out and trying new things in the best interest of the overall brand, rather than looking at things channel by channel.

        Lee-Ann Johnstone:

        Do you think technology is going to catch up now? Most affiliate networks still run on last-click or server-to-server tracking. They commission and offer attribution in the same way.

        Lee-Ann Johnstone:

        Is there a need now for technology suppliers to catch up with how consumers are changing their purchasing behavior online, and to allow affiliates, creators, and all of these different partners in the affiliate mix to have the freedom to be run differently but still within the same program?

        Lee-Ann Johnstone:

        Because we can’t really do that right now. It is possible, but it’s not measured equally on each side, as you said.

        Todd Ulise:

        I’ve been told many times in my career that I think differently than most people, and you’ll probably start to see that the more we talk.

        Todd Ulise:

        I’ll say this first: it’s never a technology problem. It’s always a people problem.

        Todd Ulise:

        Technology can solve whatever decision we decide to make as an industry. The larger issue is the compensation structure at many companies. The affiliate team is compensated one way. The creator team is compensated another way. When you create a compensation structure where one channel might not produce bottom-line results in the same way as another channel, people tend to start infighting within organizations.

        Todd Ulise:

        Once we agree and align, that needs to come from the C-level down, not from the bottom up.

        Todd Ulise:

        It’s really a people issue more than a technology issue. We need to align on a unified measurement system and say, “We know that top-of-funnel creator engagement might lead to actions at the bottom of the funnel, whether on a review website, a coupon website, or two or three months down the line when an offer becomes available.”

        Todd Ulise:

        I think differently than most. I think it’s more of a people problem than a technology problem. People need to align on unified measurement and what that looks like in order to have transformational change and value each piece of the pie.

        Todd Ulise:

        When you go to a soccer stadium or a baseball stadium, you see signage in the outfield or behind the goal. Are you going to buy immediately? Maybe not. But does it create an impression? Does it make you think about that product later when you’re ready to make a purchase decision? Absolutely.

        Todd Ulise:

        It’s about understanding where it happens in the mind of the consumer. It’s very hard to codify because you have channel managers fighting against each other over what they’re measuring. It goes back to what I call “who stole my cookies?”

        Lee-Ann Johnstone:

        I deal with clients like that all the time. It’s, “We can’t do this because it doesn’t impact our budget,” but then we lose sight of how it benefits the business as a whole.

        Lee-Ann Johnstone:

        It doesn’t matter whose budget it is. Are you actually getting the customer? It doesn’t matter whether they come through PPC, affiliate, or wherever. Are you actually getting the customer?

        Lee-Ann Johnstone:

        You said something really valuable: it needs to come from the CEO level. However, I still encounter a lot of brands with CEOs who don’t understand what performance marketing is or how it should be working for their business.

        Lee-Ann Johnstone:

        There’s an education piece that needs to happen, which is exactly why we’ve got this podcast. I’ve never had anybody say it so clearly before, so thank you for doing that.

        Lee-Ann Johnstone:

        There’s this trust crisis and transparency tightrope that we’re constantly navigating. How do you help both sides navigate this visibility issue? It’s siloed, right? How do you approach that when you’re working with big clients that are spending a lot of money with you?

        Todd Ulise:

        I want to step back and say transparency doesn’t equal brand safety.

        Todd Ulise:

        Brands want brand safety. They’re often less concerned about transparency. For example, you can have great transparency, but things might not necessarily be brand-safe because of content reviews, whether real or generated. That has always been one of the challenges of the internet. It is a challenge now, and it will continue to be a challenge.

        Todd Ulise:

        Brands should be asking harder questions. The problem is there has always been leakage and too much low-quality inventory arbitrage. Bad actors have made parts of the ecosystem untrustworthy.

        Todd Ulise:

        When email marketers realized in 2000 or 2003 that they could make more money sending 50 emails a day instead of one, guess what happened? This industry has not always been the best at self-regulation. Ultimately, we’ve gotten better, with things like CAN-SPAM and disclosure rules, and that is critically important.

        Todd Ulise:

        The answer is that most publishers can’t expose everything. The best way to handle transparency is to ask what brands actually care about. How do you look at it? What criteria do you have?

        Todd Ulise:

        Any platform or affiliate should build systems that reflect what brands need. The reality is that you can’t confuse transparency with brand safety or surveillance.

        Todd Ulise:

        Brand safety is the most important thing. Major brands should have clear indicators. On the conversion side, they need to validate quality and compliance. Publishers need to have enough protection to service the brands they work with.

        Todd Ulise:

        The middle ground is to have a conversation. Most people don’t want to have that conversation. Sit down and ask: how are you determining brand safety? What are you looking at? What are the key criteria? Are you looking at multiple clicks? Are you looking at transactions? What are you actually measuring?

        Todd Ulise:

        Then turn that into a repeatable measurement structure, with full disclosure on what you’re doing and how you’re doing it.

        Todd Ulise:

        When I say transparency, I mean operational transparency. What are you doing? How are you doing it? Have an open conversation about that. That’s more important than using transparency as a vague term. It helps bridge the brand-safety gap while still protecting publishers’ intellectual property and secret sauce.

        Lee-Ann Johnstone:

        I totally agree.

        Lee-Ann Johnstone:

        I want to dig into some of the numbers, because you see a lot of data. Shopnomix processes around three billion monthly queries, which is a lot of data. What’s shifting in consumer intent signals right now, and what does that tell you about where the industry is headed?

        Lee-Ann Johnstone:

        A lot of affiliate managers and brand managers, especially in ecommerce, are trying to navigate where to segment their portfolio now. Do they spend money in AEO, GEO, coupon sites? Where are you seeing consumer intent change across all of this data?

        Todd Ulise:

        Intent is getting expressed a lot earlier, in more places, and with more context.

        Todd Ulise:

        Traditional search meant people would go to a search results page and search for something. That has been completely upended by AI. A lot of commercial intent is now in less obvious places.

        Todd Ulise:

        The same intent is showing up in conversational AI. How often do you talk to your AI agent on a daily basis? Do you see results included in there? Absolutely.

        Todd Ulise:

        I’m very excited about the creator-led economy. Creators are the new publishers. I’ve been saying that for a long time, but now, with things like live shopping within Meta, creators are becoming more of a trusted source.

        Todd Ulise:

        I wrote an article probably 11 or 12 years ago saying I wanted to rename search marketing as intent-driven marketing. When you look at intent, it’s really any expressed belief, feeling, or action toward doing something.

        Todd Ulise:

        Creators are leading the formation of intent because you trust those creators. They create a trusted, intent-driven environment.

        Todd Ulise:

        In addition to pre-search environments, we’re seeing integration within browsers and distributed touchpoints. The nature of going to search first is gone. Intent is being extrapolated earlier on, and the companies that can capture that intent are the ones that will win.

        Todd Ulise:

        The signal is still there, but you have to be able to act on it before the user does a physical search or gets to a checkout page where the bottom of the funnel gets the credit.

        Todd Ulise:

        The other thing that’s changing is specificity. AI and conversational commerce don’t work like old keyword search, and I actually think that’s better. It allows people to get what they want sooner. The signal is richer, and people are asking for product recommendations with constraints, context, and urgency built in.

        Todd Ulise:

        The future channel is less about fighting over last click and more about understanding how to capture intent across a distributed journey. That’s what Nomix Group is leaning into with performance economics and commerce everywhere: helping brands reach consumers across a distributed consumer journey.

        Lee-Ann Johnstone:

        Just quickly, because some people won’t have heard of Nomix Group, give us the full composition of what Nomix Group is. I know some people know Shopnomix, but they won’t know all the other parts of Nomix Group.

        Todd Ulise:

        Nomix Group is a holding company. It started out of Shopnomix about three years ago, very focused on the affiliate commerce space. The company has had tremendous growth, both organically and through acquisitions.

        Todd Ulise:

        Nomix Group is really a holding company of assets, including Shopnomix, which works with 400,000 creators, and FanNomix, our AI-driven content production studio, which allows us to build and deploy creative in real time. We use creative velocity as a core competency to help brands scale at a fraction of the cost of traditional production companies.

        Todd Ulise:

        Nomix Group solves multiple problems: fragmentation through commerce everywhere, creative performance economics, and distribution infrastructure at scale for brands. Most companies can only handle one of those three pieces. Nomix Group has the end-to-end solution through its portfolio of products, services, and companies.

        Lee-Ann Johnstone:

        It sounds complex, but it’s also really clever because it helps brands touch the consumer in multiple ways and at scale. That’s what we need right now.

        Todd Ulise:

        In any outcomes-based economy, Cullen stated this on a previous podcast, but the increase of inventory, especially with AI, is shifting us more toward an outcomes-based economy.

        Todd Ulise:

        How we determine that outcome is what we were talking about earlier. Is the creator piece more mid-funnel? How do you measure that once the customer eventually purchases? Aligning on a unified measurement model to show those outcomes is critical.

        Todd Ulise:

        Having that C-level conversation is tantamount and critically important.

        Lee-Ann Johnstone:

        We’re also getting to a point in the industry where the data leads us, and the data we have is actually quite strong. Before, it wasn’t that it was mixed, but it wasn’t clean. It wasn’t 100% clean.

        Lee-Ann Johnstone:

        Now we’ve reached a point where we can measure everything right back to the first impression and the first click that happens in a customer’s lifecycle journey. I’m quite excited about that, because it allows us to change the commercial aspects.

        Lee-Ann Johnstone:

        I know you’ve argued that CPC giving way to CPA is the inevitable next shift. Talk us through that thought process, and how Shopnomix shoulders the performance risk with the clients you work with.

        Todd Ulise:

        It’s just math at this stage.

        Todd Ulise:

        After 26 years, I look at these things as financial systems. Internet marketing is really made up of CPM, CPC, or CPA. Granted, within CPA there are probably 50,000 variations: CPS, rev share, fees with a baseline. But those are the economic models.

        Todd Ulise:

        Every publisher wants risk mitigation. Every advertiser wants performance economics. The market is shifting that way. It’s not completely moving there overnight, but it is moving.

        Todd Ulise:

        A lot of teams still like CPCs because of familiarity. It’s Google. They’re used to it, and it’s the easiest model to slide into an existing media structure.

        Todd Ulise:

        Think about how media teams are structured. You have a search and social team, an affiliate team, a video and display team. Those are all often based on pricing metrics. But the more precise label is: what action do you want to have taken place, and how do you want to pay for that action?

        Todd Ulise:

        I still answer the question in terms of CPA because that’s where we see the broader market shift. If you build on a CPC with a CPA backstop or guarantee, it doesn’t really matter. It’s just math. It puts the onus on platforms to have best-of-breed infrastructure and optimize to performance.

        Todd Ulise:

        The point is that we’re moving toward outcome-based pricing models and verified transactions. The internet has all of these acronyms that keep people out: CPA, CPS, rev share, and so on. They make us sound intelligent, but really we’re talking about outcome-based pricing.

        Todd Ulise:

        Whether it’s CPA, CPS, rev share, or another model, there has to be some form of outcome. I’m very optimistic that even CPMs are moving more toward outcome-based pricing, which is really the mantra of affiliate-based marketing anyway. You want to achieve a specific goal, and you want payment tied to that goal.

        Todd Ulise:

        The key thing I’ve learned in 26 years is not to force everything overnight. The right approach is crawl, walk, run.

        Todd Ulise:

        Start with what you’re measuring. Test it. Validate quality. Prove the economics. Then expand.

        Todd Ulise:

        Shopnomix predominantly performs on CPA. Around 90 to 95% of the business is CPA-driven. That model works because performance risk is understood up front, and onboarding is data-driven.

        Todd Ulise:

        The channel doesn’t need to be about slogans. It’s about operating with confidence, having a path to get there, and allowing brands to pay for results — performance-based results.

        Lee-Ann Johnstone:

        That’s actually a really good blueprint. If you want a well-run unified affiliate program that brings content creators, traditional publishers, and everyone else together, follow those four steps. That’s the best place to start. From there, you’ll get the answers you need to improve what you’ve already got.

        Todd Ulise:

        The challenge traditionally is that there are different payouts across these channels. It comes down to an economic-based model.

        Todd Ulise:

        We see affiliate payouts getting stronger because the value of affiliate quality has actually increased.

        Todd Ulise:

        I want to rename affiliate marketing as performance-based media. The notion of “affiliate” has connotations, whether positive or negative. I’ll let your audience debate that. But really, affiliate marketing is performance-based marketing.

        Todd Ulise:

        Then you can uplevel affiliate marketing and expand it. The lines are never super clear. There is overlap between affiliate, creators, influencers, and other partner types.

        Todd Ulise:

        Once payouts get level-set, you can look at it more fairly. If it’s a coupon site and you’re discounting by 5%, maybe you adjust the payout accordingly. There is value in every piece of media. It’s just about quantifying that value and aligning key stakeholders from the C-level.

        Todd Ulise:

        That allows brands to build market share and pay what those users are worth, whether you look at LTV, CAC, or other metrics.

        Todd Ulise:

        It takes a visionary CEO or CMO at a brand to say, “Let’s look at the entire media mix. Let’s build market share for our brand, and here’s how we’re going to do it.”

        Todd Ulise:

        I always instruct teams to perform 20% better so they have 20% discretionary room to invest in new channels. You don’t know what you don’t know. Test everything and see what ultimately performs and scales the business.

        Lee-Ann Johnstone:

        I think sometimes we’re too scared to test. We get into a rut. It’s, “We’ve always done it this way.” Testing something new can feel like extra work.

        Lee-Ann Johnstone:

        But what you said is true: it’s a people problem. The change starts with us. It doesn’t start with telling somebody else about it. It starts with you.

        Lee-Ann Johnstone:

        Incrementally test something. Try something a little bit different. Do one thing a month. It doesn’t have to be everything all at once, because that’s overwhelming and you won’t get the right data results.

        Lee-Ann Johnstone:

        Okay, we’ve got to the fun rapid-fire round, where I throw my questions at you and you answer them.

        Lee-Ann Johnstone:

        First one: creator or traditional affiliate publisher? Pick one for the next five years.

        Todd Ulise:

        Creator, significantly — but only if creators get measured like performance and not protected like a vanity channel.

        Todd Ulise:

        There is a significant increase in creators, and that’s where the dollars are shifting. The amount of money spent on creators has not yet caught up, in terms of the broader media mix and marketing dollars, to the amount of money being pumped into the creator side. So, creators for sure.

        Lee-Ann Johnstone:

        The metric that performance marketers are most wrong about right now?

        Todd Ulise:

        Clicks without context.

        Todd Ulise:

        Intent is the value signal, and how you extrapolate intent earlier in the funnel is the most important thing.

        Lee-Ann Johnstone:

        Biggest mistake brands make when they first try to integrate creators into an affiliate program?

        Todd Ulise:

        They try to literally copy affiliate goals without deciding how creators actually influence demand. You have to look at creator as a unique channel.

        Lee-Ann Johnstone:

        Yes, and they try to treat creators exactly the same way they would treat an affiliate, when they are completely different personas.

        Lee-Ann Johnstone:

        CPA or revenue share: pipe dream or rise of the inevitable?

        Todd Ulise:

        Rise of the inevitable. Completely the rise of the inevitable.

        Lee-Ann Johnstone:

        Lastly, one piece of advice you’d give your 25-year-old self starting out in performance marketing today?

        Todd Ulise:

        Don’t confuse volume with value. Learn the economics underneath the channel early on, and understand why every investment is being made.

        Lee-Ann Johnstone:

        If somebody walks up to you at a conference, what’s the best pickup line they could use?

        Todd Ulise:

        Want to see some data?

        Lee-Ann Johnstone:

        You would have to be in the industry for 26 years to pull that line.

        Todd Ulise:

        My response would usually be: how clean is your data?

        Lee-Ann Johnstone:

        Where does it come from?

        Lee-Ann Johnstone:

        All right, Todd, listen, it’s been an absolute pleasure to have you on the podcast this week. Thank you so much for sharing your insights on what’s happening in the performance marketing economy and the convergence of creator and affiliate working together.

        Lee-Ann Johnstone:

        Hopefully we get together and work to help solve the people problem and educate everybody around us to think about affiliates the way that you do, because I think the world would be a better place if everybody did it.

        Todd Ulise:

        Thank you. I really appreciate the time, and I’m always happy to support and be involved as much as I can in the community.

        Lee-Ann Johnstone:

        Until next week, everybody, we will say goodbye and thank you very much. This is The Affiliate Marketing Podcast. We look forward to seeing you again soon.

        Creators Are Becoming Commerce Infrastructure

        Monthly Signals for CEOs, CMOs, and CROs — Ending April 19, 2026

        Affiliate commerce has spent the last few cycles dealing with fragmentation. Discovery moved upstream into a new middle layer of ecommerce control, the click lost some of its old contract power, and even consumer commitment started to look more conditional in ways closer to the end of blind brand loyalty.

        This month’s shift is different. The market is no longer only showing where the old path from intent to impact is breaking. It is showing what is starting to replace it.

        Creator commerce is hardening into infrastructure.

        From Creator Tactic to Creator Commerce Strategy

        Creators are no longer being treated as lightweight amplification partners sitting at the edge of the funnel. Walmart is building around shopping-led creator collaboration and making it easier for creators to work directly with the retailer. Kohl’s is expanding commissions, storefronts, and creator access as part of a broader sales reset.

        Meta is pushing product catalogs, affiliate partnerships, and native tagging deeper into the content surface itself. These are not isolated social tactics. They are signs that creator participation is being structured closer to the conversion layer, where intent turns into impact and where the economics of visibility, routing, and payout matter more than reach alone.

        That is why creator commerce strategy now needs to be treated as operating design, not campaign experimentation.

        Creator Storefront Commissions Are Rewriting Channel Logic

        Because creator commerce is becoming infrastructure, brands lose the comfort of treating it like flexible top-of-funnel spend. That forces a more explicit operating model for incentives, standards, and proof.

        The practical shift is already clear. Partner programs must be run less like content seeding and more like revenue systems. Once creators have storefronts, product-level tagging, and recurring creator storefront commissions, the old distinction between affiliate program, creator program, and social commerce program starts to blur.

        That makes payout design, partner governance, and conversion visibility executive issues rather than channel-side details. The question is no longer whether creators influence demand. It is whether brands have built the rules, reporting, and incentives to scale that influence in a commercially disciplined way.

        Proof Gets Harder as Impact Moves Inside Platforms

        The next pressure point is proof. As more of the purchase journey moves into retail media environments and native social surfaces, leadership teams need more confidence that the impact being reported is comparable, defensible, and tied to real commercial lift.

        Albertsons is leaning directly into that issue by arguing for measurement consistency and retail media transparency at the same moment it experiments with ChatGPT ads and in-store retail media expansion. That is a meaningful signal. It says the market no longer believes new surfaces are enough on their own.

        If the proof standard changes from network to network, budget confidence, partner value, and scaling decisions all get harder to defend. This is where affiliate attribution in creator commerce becomes harder to manage. The surface generating demand is increasingly not the same system resolving the transaction.

        A creator can shape consideration inside a Reel. A platform can route the product through its own tagging or catalog logic. A retailer or payment partner can settle the conversion later in a different environment. Performance can still look healthy on the surface while the path from intent to impact becomes harder to audit cleanly.

        AI Shopping Discoverability Raises the Stakes

        Closed and semi-closed discovery environments intensify that pressure. Meta is reducing the distance between product discovery and purchase inside its own apps. David’s Bridal is restructuring assortment data so products can be found and browsed inside ChatGPT and Copilot.

        The significance is not just that AI shopping is arriving. It is that AI shopping discoverability, creator influence, and purchase readiness are increasingly being assembled inside systems that do not preserve legacy referral logic by default.

        Brands that still think of creator commerce as a traffic source will miss the bigger change. Creator surfaces are becoming transaction-adjacent environments where discovery, proof, and payout rules are set earlier than most affiliate programs are built to handle. That also raises the stakes for social commerce conversion tracking, because cleaner platform reporting does not automatically mean cleaner contribution logic.

        Why Closed-Loop Commerce Attribution Is Now a Leadership Issue

        This does not mean affiliate commerce is weakening. It means the next phase of growth will come from treating creator commerce as governed infrastructure inside the broader path from intent to impact.

        The winners will stop separating creator strategy, commerce strategy, and measurement strategy into different conversations. They will define who deserves credit before surfaces compress further. They will decide what counts as valid proof before performance claims get harder to compare.

        That is the real challenge of closed-loop commerce attribution. It is no longer enough to know that demand was generated. Leaders must know whether value stayed connected to the source of that demand once the journey moved inside platform, retailer, and AI-controlled systems.

        Creatornomix, a Nomix Group company, helps brands manage creator partnerships and scale winning creator content through SugarReach. Learn more at creatornomix.com.

        The Big So What

        For CEOs

        • Treat creator commerce as revenue infrastructure, not experimental media. 
        • Push for one view of where intent is created, routed, and monetized. 
        • Require payout logic that reflects contribution, not just proximity to checkout. 
        • Ask whether current partner systems can scale inside closed discovery environments. 

        For CMOs

        • Align creator, affiliate, and commerce teams around one operating model. 
        • Prioritize programs with clear storefront, tagging, and conversion mechanics. 
        • Pressure-test whether creator performance is being measured consistently across surfaces. 
        • Invest earlier in the product, catalog, and content inputs that shape discoverability. 

        For CROs

        • Tighten standards for commission eligibility, routing visibility, and proof quality. 
        • Audit where creator influence is visible and where it disappears before conversion. 
        • Rework reporting so closed-surface commerce does not mask attribution drift. 
        • Build payout rules that hold up even when discovery and transaction happen in different systems. 

        References

        Inside Walmart’s creator-driven social commerce playbook — Marketing Dive

        Kohl’s is stepping up its creator efforts as it attempts a sales reset — Modern Retail

        Meta turns to AI to make shopping easier on Instagram and Facebook — TechCrunch

        Albertsons on its ChatGPT ads test and push for retail media transparency — Marketing Dive

        David’s Bridal brings wedding shopping to ChatGPT, Copilot — Retail Dive

        In A Crowded Market, Publishers Need To Prove Value, Not Just Volume

        More inventory does not automatically create more value for publishers.

        In a market full of cheap supply, the publishers in the best position are the ones that can show why their audience, their environment, and their traffic are worth more. That matters more as buyers look harder at where their money goes and what those impressions actually deliver.

        This is not a case against CPM. It is a case for stronger proof. When the market gets crowded with low oversight supply, publishers need revenue models that do more than count impressions. They need models that show trust, intent, and commercial value. That is where performance based demand can become more useful, not as a replacement for everything else, but as part of a stronger revenue mix.

        The Market Is More Crowded Than It Used To Be

        The supply side of the market is moving faster. Jounce Media’s State Of The Open Internet 2025 shows that 41 percent of available web supply was published that week. NewsGuard’s AI Tracking Center Report says it has identified 3,006 AI content farm sites. Those two points do not say that every new page is low value. They do show that publishers now compete in a market where supply enters constantly and where some of that supply is designed to monetize quickly.

        That changes the challenge for serious publishers. The issue is no longer just producing more pages or creating more impressions. The issue is proving why your inventory deserves a different conversation from the long tail of commodity supply. In a crowded market, differentiation has to be visible in both the environment and the outcome.

        Buyers Are Paying More For Control And Quality

        The pricing split between premium and open inventory gives publishers a useful signal. ANA’s Programmatic Transparency Benchmark Q2 2025 reported average private marketplace (PMP) CPM at $7.15 versus open marketplace CPM at $4.41. That gap does not say everything in private marketplaces is premium, and it does not say everything in open marketplaces is weak. It does show that buyers are willing to pay more for supply they perceive as more controlled.

        That matters for publishers because it shifts the question from volume to trust. If the market is rewarding control, then publishers need to be clearer about the quality of the environment, the path through which the inventory is sold, and the commercial value of the audience on the other side of the impression.

        Quality Has To Be Proved In Business Terms

        Publishers cannot rely on brand halo or editorial quality alone. They need commercial proof. Integral Ad Science found that quality sites delivered a 91 percent higher conversion rate than ad clutter sites, and a 25 percent lower cost per conversion. That is a practical argument, not just a moral one.

        If buyers can see that stronger environments convert better, then publishers have a better case for why their inventory should not be measured only by CPM. They can make the case that the real question is not how many impressions were delivered. It is what those impressions were worth once the campaign had to produce a business result.

        Performance Revenue Is No Longer A Side Channel

        Publishers are already moving in this direction. PMA’s Performance Marketing Industry Study 2025 says affiliate marketing spending reached $13.62 billion in 2024 and drove $113 billion in ecommerce sales. INMA’s analysis of publishers’ Q4 earnings results points to a major publisher group, People Inc., formerly Dotdash Meredith, where performance marketing, largely affiliate, was up 17 percent in Q4. This shows that performance marketing is a real part of how the publisher is generating revenue.

        For publishers, that means performance demand is worth treating as a strategic layer of monetization. It can sit alongside CPM based demand, direct sold revenue, and other streams. The goal is not to replace one model with another. The goal is to build a mix that is easier to defend when the market is full of noisy supply.

        The Net Gain For Publishers

        The practical next step is to look for the places where publisher value is strongest and easiest to prove. Identify pages and moments with clear commercial intent. Protect the parts of the experience buyers can trust. Add performance based demand where it lifts revenue without weakening the site or cheapening the experience.

        That is the real opportunity in a crowded market. Publishers do not need to win on volume alone. They need to show why their audiences and environments are worth more, and then connect that value to demand that rewards real outcomes. That is where a stronger revenue mix starts to make sense.

        For publishers looking for new monetization paths that complement the existing stack, that is where Shopnomix has a clear role. The value is not just another demand source. It is performance based demand tied more closely to commercial intent and measurable results.

        When Impression Quality Gets Harder To Trust, Buyers Move Closer To Proof

        There are more ad opportunities than ever. That does not mean there is more confidence.

        As low oversight inventory grows, buyers have more reason to question what a cheap impression is really buying them. Reach still matters, but cheap reach is not the same as useful reach, and useful reach is not the same as measurable contribution. When the market gets noisier, the pressure to prove real business value gets stronger.

        That is the shift brands should pay attention to right now. The market is not simply moving away from CPM. It is moving closer to proof: clearer conversion quality, stronger incrementality, and pricing models that stay tied to outcomes when trust in the impression weakens.

        AI Is Making Scale Cheap

        The supply story is real. NewsGuard says it has identified 3,006 AI content farm sites. Jounce Media’s State Of The Open Internet 2025 shows how quickly supply now enters the market, with 6 percent of available web supply published that hour, 26 percent published that day, and 41 percent published that week. Those numbers do not prove every new page is low value. They do show that the market is filling up fast, and that it is easier than ever to publish ad monetized content at volume.

        That matters because supply growth changes the job for buyers. A larger pool of impressions creates more choices, but it also creates more room for weak environments, weak attention, and weak conversion value. When supply expands faster than trust, the quality question gets harder, not easier.

        More Supply Does Not Mean Better Performance

        This is where the quality gap starts to matter. Integral Ad Science found that traffic served on quality sites had a 91 percent higher conversion rate than traffic served on ad clutter sites. It also found that quality sites delivered a 25 percent lower cost per conversion. That is a direct performance gap, not just a brand safety argument.

        That should change how buyers read cheap inventory. A lower CPM can look efficient on the surface, but if the environment behind it is weak, the real cost can show up later in poor conversion quality and wasted spend. Not every cheap impression is good value, and not every expensive impression is overpriced. The business result depends on what the impression actually does.

        Buyers Are Separating Cheap Reach From Useful Reach

        The market already shows signs of this split. ANA’s Programmatic Transparency Benchmark Q2 2025 reported that private marketplace CPM averaged $7.15, while open marketplace CPM averaged $4.41. That is a meaningful difference. It suggests buyers are willing to pay more for controlled environments than for commodity supply.

        AdRoll’s State of Digital Advertising Report adds another useful signal. In Q1 2026, display retargeting CPMs were up 18 percent year over year, while display prospecting CPMs were down 11 percent year over year. DataBeat’s US Programmatic Trends November 2025 also showed softness in parts of display CPM pricing. That does not prove a universal collapse in CPM. It does suggest that higher intent and better qualified inventory is being valued differently from broad prospecting supply.

        That is the key distinction. The market is not moving away from pricing impressions altogether. The market is getting more selective about which impressions deserve a premium and which ones need clearer proof of contribution behind them.

        Why Outcome Based Pricing Gets Easier To Defend

        This is where buyer behavior becomes clearer. ComScore’s 2026 State of Programmatic Report found that buyers rank conversion rate at 62 percent and ROAS at 47 percent among their top measures of effectiveness. IAB’s 2025 Digital Video Ad Spend and Strategy makes the same point from another angle. Buyers are putting more weight on business outcomes, including sales and store visits, and pulling back when those outcomes are not there.

        That makes the case for outcome-based pricing easier to understand. If a buyer is less confident in the quality behind a CPM, then CPA and CPS models can feel like a more direct way to manage risk. They do not solve every problem. They do give buyers a pricing structure that stays closer to the business result they actually care about, while making it easier to ask harder questions about partner quality, conversion quality, and incrementality.

        That is one reason performance marketing continues to grow. PMA’s Performance Marketing Industry Study 2025 says brands spent $13.62 billion on affiliate marketing in 2024, and the channel drove $113 billion in ecommerce sales. This is not a niche buying model on the edge of the market. It is already a meaningful part of how brands pay for growth.

        The Net Gain For Brands

        The practical takeaway is simple. Stop treating low CPM as proof of value. Ask harder questions about conversion quality, partner quality, and whether the outcome was incremental. Separate cheap reach from real intent. Look closely at where you want awareness, where you want traffic, and where you need measurable contribution.

        That does not mean every budget should move to CPA or CPS overnight. It does mean more brands will have a reason to test where outcome-based pricing protects them from weak inventory and where it creates clearer accountability. In a market with more supply and more noise, that is a sensible place to start.

        For brands trying to find incremental conversions outside the usual paths, this is where Shopnomix has a clear role. The value is not just lower risk pricing. It is buying closer to verified contribution and paying closer to the result that matters.

        The Commerce Journey Is Breaking and Value Isn’t Following

        Bi-Weekly Signals for CEOs, CMOs, and CROs — Ending March 22, 2026

        Affiliate commerce has been under pressure for months, but the nature of that pressure has changed. Control moved upstream into platforms and creators. The click stopped functioning as a contract. Attribution drifted under measurement loss and governance gaps.

        What looked like a series of related issues is now revealing something more structural. The journey itself is breaking apart, and the systems handling each step do not share economics.

        What this points to is a broader operating model for discovery, one that connects pre-search consumer intent, AI-driven commerce discovery, and downstream commercial capture into a single strategy.

        The challenge is no longer just driving traffic or improving conversion. It is maintaining visibility, influence, and measurable commercial presence across a journey that no longer lives in one system.

        The Fragmentation of Commerce Discovery

        That fragmentation is already visible in how the path from intent to impact is breaking apart. Product discovery is moving into AI environments and conversational interfaces, while checkout remains anchored to merchant systems.

        The moment of influence and the moment of transaction no longer happen in the same place. They are no longer governed by the same rules. Where commerce happens now is distributed, and that shift is reshaping how brands approach commerce discovery strategy.

        This is not just a surface-level change in where shoppers spend time. It is a structural shift in how commerce operates. Protocol layers are emerging to connect identity, cart state, and pricing logic across environments, while payment networks are positioning themselves as the final arbiters of whether a transaction completes.

        In that environment, conversion is no longer a simple result of traffic and offer. It depends on whether identity is preserved, whether the transaction is authorized, and whether the system handling checkout recognizes the path that led there.

        Where Value Is Captured No Longer Matches Where Demand Is Created

        That is where affiliate attribution reliability begins to break down. When influence happens in one system and transaction happens in another, attribution depends on whether those systems exchange enough information to preserve credit. In many cases, they do not.

        Instead, value concentrates at the point closest to transaction resolution. The system that processes the payment, validates the user, or controls the checkout flow gains disproportionate influence over which partner is recognized and rewarded.

        Influence becomes upstream, but economics settle downstream. That is the core tension behind a distributed buyer journey. Demand is formed across multiple surfaces, but commercial outcomes are still decided at the point of transaction.

        The disconnect creates a system where influence and revenue no longer align, even when performance appears stable on the surface.

        Platforms and Infrastructure Are Reshaping the Economics of Discovery

        At the same time, platforms and creator ecosystems are inserting themselves more directly into commerce flows. Shopping links can be auto-attached to content. Creator monetization programs can reshape how products are surfaced and sold.

        These changes are not just about distribution. They are about routing. When platforms control how commerce is layered onto content, they also influence which paths remain visible and which ones are bypassed.

        This creates a more complex form of intermediation than the industry has dealt with before. It is no longer just about who owns the audience or who owns the checkout. It is about how multiple systems interact across the journey, and which one ultimately determines economic outcomes.

        In some cases, that will be the platform shaping discovery. In others, it will be the infrastructure layer governing identity or payment. In all cases, it means affiliate performance is increasingly dependent on systems that were not designed to preserve referral economics.

        Why Integrated Search Becomes the Operating Model

        This is where integrated search begins to matter. It is not a channel. It is the convergence of pre-search discovery and agentic commerce, connecting early intent signals with AI-driven recommendation environments so brands can maintain visibility, influence, and commercial presence across fragmented discovery environments.

        That shift matters because affiliate performance now depends less on isolated channel execution and more on whether pre-search intent, AI-driven discovery, and downstream commercial capture stay connected across the same journey.

        The implication is not that affiliate commerce is weakening. It is that it is becoming more sensitive to system design. Performance no longer scales simply by increasing traffic or partner coverage.

        It scales when the path between intent and transaction remains legible, measurable, and economically aligned across every system involved.

        That is why the next phase of commerce discovery strategy is less about channel optimization and more about system alignment. Leaders need to understand where discovery is happening, where transactions are resolving, and which layers in between can intercept, reshape, or obscure that connection.

        The question is no longer just who drives demand. It is which system decides what that demand is worth once it converts.

        The Big So What

        For CEOs
        • Treat system control as a revenue variable, not a technical detail
        • Audit where discovery, checkout, and payment are controlled externally
        • Expect economic value to concentrate at the point of transaction control
        • Reassess partner and platform dependencies based on margin exposure

        For CMOs
        • Shift strategy toward influencing early-stage intent across fragmented surfaces
        • Align content and partner investment with where decisions are actually formed
        • Plan for attribution gaps when discovery and conversion split across systems
        • Reframe performance around influence plus realized economic capture

        For CROs
        • Map where attribution can break between discovery and transaction systems
        • Align tracking, identity, and payout logic to fragmented journeys
        • Monitor conversion reliability as a function of infrastructure, not just UX
        • Build reporting that connects upstream influence to downstream revenue

        References

        Shopify says purchases are coming inside ChatGPT through agentic storefronts — Modern Retail

        Google expands its Universal Commerce Protocol to power AI-driven shopping — Search Engine Land

        Ecommerce Trends: Walmart’s view of agentic commerce evolving — Digital Commerce 360

        Why Visa views agentic commerce as next big growth opportunity — Digital Commerce 360

        Some creators don’t see immediate value in Instagram’s Shop the Look AI test — Modern Retail

        The Affiliate Flywheel for Publishers: Why Higher Rates Matter to Yield & Operations

        Affiliate payouts are getting repriced. Not everywhere, not for everyone, but clearly enough to change how the channel works.

        For publishers, that shift is not just a margin story. It changes what inventory deserves priority, which relationships are worth the work, and whether commerce can scale without turning into an operational mess.

        That is why higher rates matter on the supply side. Better economics improve earnings, but they also make it rational to direct more distribution toward the relationships that deserve real attention and away from the ones that never clear the bar.

        What’s Changing: Rates Are Rising Where Publisher Value Is Real

        In parts of the market where publishers can drive meaningful results, rates are no longer commodity. Brands are paying more where volume is real, where distribution can move market share, and where the path from placement to purchase is credible.

        That is the signal. Affiliate is being repriced around publishers and operating models that can deliver performance at scale, not just traffic in bulk.

        Why Higher Rates Matter to Publishers

        Thin economics create predictable behavior. They force publishers to manage too many relationships for too little upside, chase low-value offers, and spread attention across programs that do not deserve priority.

        Stronger economics do the opposite. They sharpen decision-making:

        • Publishers can prioritize placements that reliably convert

        • Revenue per view and EPCs become strong enough to justify real attention

        • Low-value deals become easier to reject instead of subsidize

        In other words, higher rates do not just lift yield. They improve distribution discipline and create a clearer threshold for which relationships deserve operating attention.

        What Publishers Actually Need: Better Yield with Less Back Office

        Most publishers do not struggle to create commerce intent. They struggle to operationalize it across too many relationships.

        Friction shows up in the same places every time: contracts, payment timelines, reporting quirks, partner exceptions, account follow-up, and constant coordination.

        That friction matters because strong economics only help if a publisher can actually capture them without burying the team in admin.

        What Shopnomix Does Differently: Negotiate Up, Then Absorb the Operational Drag

        Shopnomix handles the operations, the contracts, and the back-end lifting while also acting as an extension of the commercial team, helping publishers secure higher direct rates than they would usually command on their own for the same demand. The point is not just to negotiate up. It is to pair better economics with a repeatable operating process that makes differentiated distribution easier to scale.

        In practical terms, that means consolidating the work that usually sits on a publisher’s team:

        • Contracts and ongoing deal work

        • Operational coordination across programs

        • Accounts receivable through one partner instead of many

        • Hands-on support that feels like an extension of the commercial team

        The goal is not to simplify at the expense of yield. The goal is to simplify while improving yield, because the underlying rates are negotiated upward and the process is built to be repeatable as programs start, scale, and grow.

        For publishers, the value is clear: stronger earnings per view, less operational clutter, and a cleaner path to scale.

        Why This Creates a Flywheel for Publishers

        On the publisher side, the flywheel starts with better economics and gets stronger as operational friction comes out of the system.

        Higher rates improve yield. Better yield makes certain brands worth prioritizing in distribution. Prioritized distribution drives stronger volume and puts publishers in a better position to earn more from differentiated demand instead of spreading effort across weak offers.

        The loop is not just economic. It is operational. When one partner is handling more of the contracts, rate negotiation, and accounts receivable, the process becomes easier to repeat, which is what lets strong publisher programs scale without adding the same friction back in.

        The Control Layer Matters Too

        Better economics do not remove the need for control. As accounts get larger, scrutiny rises around transparency, traffic quality, reporting, and compliance.

        That means the strongest publisher flywheel is not just higher rates plus more volume. It is higher rates, cleaner operations, and enough discipline to keep trust intact as programs scale.

        Publishers benefit most when the model improves yield, reduces back-office drag, and keeps trust intact as programs scale.

        The Net Effect

        Higher affiliate rates matter to publishers because they change both the revenue equation and the operating equation.

        They make distribution priority worth something. They lift earnings potential above the baseline most publishers can access on their own. And when the operational burden is consolidated, they let publishers grow commerce programs without rebuilding the same process over and over again.

        Better yield. Less back office. More leverage in the relationships that actually deserve attention.

        If you’re a publisher, where is operational complexity still eating into yield that should already be compounding?

        Which commercial relationships are truly improving earnings today, and which ones are still creating work without earning real priority?

        The Affiliate Flywheel for Brands: Why Higher Rates Are Showing Up Again

        Affiliate payouts are getting repriced. Not everywhere, not for everyone, but clearly enough to change how the channel works.

        The reason is simple: brands are craving real, scalable volume and are competing for the partners who can deliver it. But the repricing is not blind. The money is moving toward partners and operating models that can prove fit, control quality, and absorb scale cleanly.

        You can see the repricing in the spread between commodity offers and performance-driven programs. A brand like Walmart can show up at 5% in the right context, not the half-percent economics that dominated for years. That gap is not a gimmick. It is what market share looks like when performance is the constraint.

        What’s Changing: Rates Are Rising Where Volume Is Real and Fit Is Proven

        In parts of the market where partners can achieve meaningful results, rates are no longer commodity. You’re seeing offers in the low single digits, and sometimes higher, because brands are paying for market share where demand is already visible and the path to scale is credible.

        That is the signal. The channel is getting repriced around partners who can deliver, and around operating models that can turn that demand into repeatable growth.

        Why Higher Rates Change the Channel

        Thin economics create predictable behavior: shortcuts, low-intent traffic, and a long tail of partners who don’t add much value.

        Stronger economics does the opposite. They sharpen incentives:

        • Publishers prioritize placements that reliably convert
        • Brands get clearer accountability for what’s working
        • Low-value arbitrage becomes harder to sustain

        In other words, the channel can get cleaner, but only if the operating model supports it with compliance, traffic controls, and clear accountability.

        What Shopnomix Does Differently: Raise the Bar, Then Make Scale Easier to Trust

        Shopnomix leans into the repricing instead of treating it like an exception. The model is built around three ideas.

        First, negotiate economics that reflect performance and the value of unique distribution. If a brand wants access to differentiated, scaled demand, the offer must be serious. Higher rates are not just a benefit. They are a qualification threshold that gives strong publishers a reason to prioritize the relationship and makes it easier to reject weak economics that rarely deserve time or operational effort.

        Second, remove the operational drag that keeps good performance programs from scaling. Strong economics only matter if the program can run cleanly and repeatedly. That is why the operating layer matters: not as administrative help alone, but as a repeatable process for how programs start, scale, and grow without breaking under complexity.

        Third, focus the effort where there is already evidence of fit. The best accounts are usually the ones where publisher demand already exists, where internal traffic can support growth, or where an indirect offer is already showing enough traction to justify a deeper, direct relationship.

        That makes the model more disciplined about where to invest, how to onboard, and what must be true for the flywheel to keep working.

        The Brand Value Prop: Scaled Distribution Without Rebuilding the Same Program 30 Times

        Brands feel that same drag inside their own affiliate programs.

        Scaling affiliates the traditional way often means repeating the same work again and again: partner outreach, negotiation, onboarding, tracking alignment, payout logistics and constant troubleshooting. You end up doing the same operational work partner by partner.

        If you’re trying to grow, that overhead compounds.

        Shopnomix aggregates unique, high-intent distribution across a portfolio of publisher relationships under one operating framework. For brands, that means one path into differentiated demand instead of rebuilding the same affiliate program one partner at a time.

        That operating layer matters. The value is not just reach. It is one team handling onboarding, tracking, reporting, payout logic, and ongoing account management in a way that is designed to repeat, which is what makes scale possible instead of episodic.

        Why This Works: The Flywheel Compounds When Economics, Operations, and Trust Stay Aligned

        This kind of marketplace doesn’t compound by squeezing one side.

        Better economics motivates publishers to prioritize distribution. Prioritized distribution improves brand outcomes. Strong outcomes justify stronger economics and deeper commitments. That, in turn, reinforces publisher priority.

        But the loop does not run on payout alone. It also depends on trust: useful visibility, confidence in traffic quality, and enough compliance discipline for brands to stay comfortable as programs grow.

        If either side loses, if publishers do not earn enough to prioritize, if brands do not see performance worth paying for, or if transparency and control start to break down, the loop stalls.

        The Net Effect

        Higher affiliate rates are a market signal: performance is scarce, and brands will pay for partners who can deliver it when fit is proven and the path to scale is clear.

        Shopnomix is built to turn that signal into a repeatable operating model: negotiate economics that match outcomes, focus the effort where evidence of fit already exists, and create the kind of process that makes unique distribution easier to scale and trust.

        If you’re a brand, where are you still rebuilding the same affiliate program partner by partner instead of scaling through one operating layer?

        And where is partner demand already visible, but your current economics or reporting model still too weak to win priority?

        When Commerce Control Leaves the Click

        Bi-Weekly Signals for CEOs, CMOs, and CROs — Ending March 1, 2026

        The old affiliate model assumed a relatively stable bargain. Brands and publishers could compete for attention, convert that attention through a reasonably visible path, and then optimize against a system where credit, payout, and performance were at least knowable. 

        That bargain is weakening. 

        The pressure is no longer just about traffic costs or partner mix. It is about what happens when intent, decision support, checkout, financing, and measurement no longer sit in the same place. 

        A durable affiliate commerce strategy now depends less on volume alone and more on who controls the path between intent and transaction.

        Control Is Moving Upstream

        The market is moving toward commerce environments where the party shaping the shopper journey is increasingly not the merchant, not the publisher, and not even the media partner driving the demand. It is the platform controlling the transaction conditions, the creator controlling the audience relationship, or the infrastructure layer defining how credit and compliance work after intent has already formed. 

        That makes conversion surface control a strategic issue, not a channel-management detail.

        That is why a story like TikTok Shop backing away from forcing U.S. sellers into platform-run shipping matters beyond marketplace operations. The real signal is that platforms are still testing how much of the post-click experience they can absorb, including logistics, discounting flexibility, and merchant control over the sale itself. 

        In a more platform-driven commerce environment, those moves can quickly reshape margin structure and reduce merchant flexibility before performance teams have time to respond.

        Creator Commerce Is Becoming Infrastructure

        At the same time, creator commerce is hardening into something much more operational than a brand-awareness tactic. Macy’s is not treating creators as a side channel. It is tying storefronts, commissions, event access, and direct briefings into a repeatable system designed to influence purchase behavior across the year. 

        That is not just creator expansion. It is creator commerce monetization built around structured incentives, repeatable demand capture, and clearer ownership of the shopper relationship.

        Separate reporting this cycle also shows creator programs maturing into broader brand infrastructure, with creator output repurposed across paid media, websites, email, and other owned surfaces, while measurement discipline and brand-safety oversight become central to scaling budgets. 

        Put together, those signals point to a more structural shift: creators are becoming part of the conversion layer, not just the awareness layer. That changes the terms of competition because whoever owns the surface closest to the transaction gains leverage over routing, visibility, payout design, and ultimately revenue capture.

        Intermediation Changes the Economics

        The next mistake leaders could make is treating that shift as a channel trend rather than a control problem. Once the commerce path fragments across storefronts, creator-led environments, platform-native checkouts, and emerging AI-assisted buying experiences, conversion is no longer a clean handoff from interest to sale. 

        It becomes a negotiated process in which intermediaries can shape what gets seen, what gets recommended, how the consumer completes checkout, and which participant retains economic credit. 

        That is where affiliate attribution risk starts to rise, even when top-line traffic still looks healthy.

        That is also what makes the slower, more practical evolution of agentic commerce worth watching. The point is not whether shopping agents will suddenly replace every referral path. The point is that transaction infrastructure is being redesigned around identity, memory, payment authorization, and machine-assisted decisioning. 

        As those layers mature, the commercial question becomes sharper: who remains visible when an agent mediates intent, and who gets paid when the path to purchase no longer resembles a conventional click stream?

        Governance Now Shapes Revenue Confidence

        That same blurring is why governance now belongs in the revenue conversation. New York’s draft buy-now-pay-later (BNPL) rules are not just a payments-policy story. They are a signal that financing, fees, disclosures, and dispute handling are moving into a tighter regulatory frame at the exact moment many brands are relying on flexible payment options to sustain conversion. 

        When those rules change, the impact does not stop at compliance. It reaches the checkout experience, approval confidence, fee structures, and the reliability of the revenue that partner programs assume they can generate.

        For affiliate leaders, this is where checkout conversion reliability becomes more than a CRO metric. It becomes a budgeting issue, a forecasting issue, and a board-level confidence issue. 

        The same goes for the creator economy’s move toward social intelligence, brand-safety controls, and measurement-first operating models. This is what happens when a channel grows up: soft metrics stop being enough. Leadership teams want proof, finance teams want discipline, and revenue leaders want fewer blind spots between spend and realized yield. 

        In affiliate commerce, that means programs built on vague influence claims or weak attribution logic will become harder to defend.

        What Leaders Have to Protect Now

        The practical takeaway is uncomfortable but useful. The market is not simply becoming more digital, more social, or more automated. It is becoming more intermediated. More parties now sit between intent and impact, and each one can alter margin, measurement confidence, and commercial leverage. 

        That shifts the job for CEOs, CMOs, and CROs.

        Growth will not come only from adding more partners or more surfaces. It will come from understanding where control is consolidating, which intermediaries are earning a durable place in the transaction path, and where revenue can quietly leak when discovery and checkout no longer belong to the same system. 

        In the next phase of affiliate commerce, the winners will not just generate intent. They will defend their ability to convert it, measure it, and keep a fair share of the value once it moves. That requires stronger partner revenue visibility across every surface where demand can be routed, reshaped, or partially lost.

        The Big So What

        For CEOs

        • Audit where external platforms or creator ecosystems now control the path between demand and transaction.
        • Reevaluate partner and platform dependencies based on margin exposure, not just top-line growth.
        • Treat checkout, payment flexibility, and referral economics as strategic control points.
        • Push for a clear view of where commercial leverage is shifting outside owned channels.

        For CMOs

        • Rebuild partner strategy around the surfaces actually shaping conversion, not just generating reach.
        • Separate creator programs with measurable commerce outcomes from those built on soft engagement metrics.
        • Pressure-test how discovery is being routed across storefronts, native checkout, and emerging AI-mediated experiences.
        • Align media, partner, and content teams around conversion visibility, not channel silos.

        For CROs

        • Map where credit loss can occur across platform checkout, financing changes, and partner intermediation.
        • Tighten measurement standards for creator and affiliate programs before budget scrutiny does it for you.
        • Model how governance changes in payments or disclosures could affect realized revenue, not just conversion rate.
        • Build reporting that connects routed demand to actual yield across every commerce surface.

        References

        TikTok Shop halts plan to end independent shipping for U.S. sellers after backlash — Modern Retail

        Macy’s is drawing on events like the Thanksgiving Day Parade to grow its creator program — Modern Retail

        New York releases draft BNPL rules — Payments Dive

        Social intelligence: The key to scaling creator marketing in 2026 — EMARKETER

        Stripe’s slower view of agentic commerce — Payments Dive

        Affiliate Attribution Is Becoming Margin Protection

        Bi-Weekly Signals for CEOs, CMOs, and CROs — Ending 02.15.26

        Affiliate commerce is entering a phase where performance doesn’t fail loudly. It fails quietly through credit that shifts at the last moment, measurement that degrades without anyone noticing, and publisher economics that evolve faster than program structures. The result is an uncomfortable truth for leadership: you can still grow revenue while your attribution confidence collapses, and by the time disputes surface, the incentives in your ecosystem have already reorganized.

        Affiliate attribution integrity is now the constraint

        Start with credit. When link rewriting is no longer a “bad actor edge case” but a recurring pattern—extensions inserting themselves at checkout, toolbars competing for last touch, and public complaints escalating into litigation—the channel’s core economics stop being defensible by habit. 

        In that environment, the click isn’t a neutral handoff. It’s a contested resource. And the more compressed the funnel becomes, the more valuable last-touch proximity looks in reporting, even when it contributes the least persuasion. That’s how programs drift into overpaying capture while under-rewarding contribution, not because anyone chose to misallocate budget, but because the proof got easier to game than to trust.

        This is where governance stops being policy language and becomes margin protection. If you cannot explain, consistently, why a partner was paid, finance will treat the payout line as risk. If partners cannot trust that credit will be honored, they will seek leverage elsewhere through exclusivity demands, walled placements, or platform-native programs where the rules are clearer. And if you tolerate credit capture in an ecosystem already struggling to prove influence, you invite commission credit disputes and train the market to optimize for interception. The affiliate channel begins to price last-click displacement risk, even when the partner closest to checkout contributed the least persuasion.

        Continuous consent monitoring turns measurement into operations

        Measurement is the second fault line, and it’s the one that makes the first problem harder to detect. Consent requirements, enforcement pressure, and signal loss don’t just reduce the volume of trackable events, they create drift. Tags break. Settings change. Consent strings misfire. Reporting pipelines still populate, but they populate with gaps. In affiliate commerce, those gaps show up as phantom underperformance, unexplained partner volatility, and attribution disputes that sound like politics because the data no longer settles the question.

        The operating shift is simple but non-negotiable: measurement must move from periodic audits to continuous verification. Leaders don’t need to become technologists, but they do need to demand a system that can answer basic questions without hedging. 

        Are we counting conversions consistently across consent states? 

        Are we attributing the same purchase differently across devices or browsers? 

        Are we paying for transactions we can’t validate, or failing to pay for influence we know occurred? 

        This is where privacy enforcement impact on attribution becomes practical: measurement-to-revenue reliability fails quietly, then forces renegotiation from a weaker position.

        Publisher monetization beyond affiliate is no longer theoretical

        That renegotiation is already underway because publisher monetization is changing. When referral traffic is less reliable, commerce teams don’t wait for programs to “catch up.” They re-stack revenue. They package influence earlier—through guidance, comparisons, and decision support—and they pursue alternative value markets where compensation isn’t tied to a clean click-out.

        The emergence of content licensing marketplaces is a signal that the industry is building new rails to monetize publisher output, especially as AI systems ingest, summarize, and re-present information in ways that compress downstream referrals. When publishers have viable alternatives to affiliate yield, they gain leverage in partnership terms, and brands can no longer assume access to attention will be priced like it was in a click-centric world. When licensing becomes a viable revenue line, affiliate placement becomes a negotiated term, not an assumed output.

        Affiliate governance as margin protection is the new operating model

        This doesn’t mean affiliate is shrinking. It means affiliate is becoming a negotiated contribution system. Credit integrity, measurement reliability, and partner leverage are converging into the same executive problem: who gets paid, why, and under what standards when the funnel is easier to mediate than to measure.

        Winning programs will respond by tightening rules where capture is easy, elevating proof where attribution is noisy and building partner strategies that reward persuasion even when the final transaction resolves elsewhere. They will enforce affiliate partner standards enforcement not as a periodic clean-up, but as an ongoing requirement to keep performance legible and payouts defensible. The teams that move now will spend less time defending payout lines and more time scaling the partners who actually create demand.

        The Big So What

        For CEOs

        • Treat credit integrity as margin protection: define non-negotiable standards for link behavior, attribution eligibility, and dispute resolution.
        • Move governance from “policy” to “control”: require recurring audits of credit capture risk across extensions, intermediaries, and partner tooling.
        • Rebalance incentives toward contribution, not proximity, before your ecosystem optimizes for interception.
        • Expect publisher leverage to rise as monetization alternatives expand; negotiate access and terms accordingly.

        For CMOs

        • Plan for measurement skepticism: assume some performance volatility is instrumentation drift until proven otherwise.
        • Build partner strategy that wins earlier in the journey—decision support, comparisons, and proof—so value is visible even when clicks aren’t.
        • Tighten partner governance without killing scale: raise standards for integrity while protecting the partners that create demand.
        • Reframe “performance” for stakeholders around defensible contribution, not just convenient last-touch reporting.

        For CROs

        • Make tracking a recurring operating cadence: continuous consent verification, tag health monitoring, and exception reporting.
        • Audit link integrity and payout logic regularly to prevent last-touch displacement from rewriting economics.
        • Align attribution rules with reality: define what “valid credit” means when journeys fragment across devices and surfaces.
        • Build a proof stack that survives disputes so finance decisions follow evidence, not negotiation fatigue.

        References

        Consent Mode in 2026: Why Deploying a CMP Is No Longer Enough Without Active Monitoring — ConsentModeHQ

        Chrome Extensions Caught Stealing Amazon Affiliate Revenue — WinBuzzer

        Honey Class Action Lawsuit Alleges Affiliate Link Hijacking by PayPal Extension — LawNews

        FPF Retrospective: U.S. Privacy Enforcement in 2025 — Future of Privacy Forum

        Microsoft Publisher Content Marketplace (AI licensing marketplace) — The Verge