Interoperability is commerce media’s next challenge

by Kevin Dunn, Chief Revenue Officer 7 min read September 11, 2026

The consistency gap in commerce media

Originally published in Adweek

Key takeaways

  • 56% of U.S. media buyers plan to increase commerce media spend this year, but 55% cite missing cross-network measurement standards.
  • New-to-brand definitions, lookback windows, and attribution rules differ by network, so results across networks can’t be compared directly.
  • Off-site commerce media is growing twice as fast as on-site, carrying purchase signal away from the retail environment that created it.
  • A shared identity layer lets brands recognize the same consumer across every network, and Experian’s independence from demand-side platforms (DSPs) and supply paths keeps that layer neutral.

Commerce media keeps expanding, and brands are running campaigns across more networks than ever. Most still can’t say which network performed better.

More media networks haven’t produced a more complete view

Investment keeps climbing, and 56% of U.S. media buyers plan to increase commerce media network spending this year, often by reallocating from social, display, and search budgets. Nearly half of advertisers, 47.5%, now fund those campaigns from two or three separate budgets.

Every network in that mix brings its own identity system, audience definitions, and measurement approach. Brands add the fourth or fifth network expecting a fuller picture of performance. Instead, they get more numbers that no one designed to sit next to each other.

I don’t think commerce media has a data problem. Every network has audience data and purchase data. Consistency across them is what nobody has built yet.

The inconsistency lives in the definitions

Take new-to-brand, the metric meant to separate new customers from repeat buyers. It means different things at different networks. Lookback windows differ. Some definitions apply at the brand level, others at the product line. Some count in-store purchases, others count only digital. View-through credit varies across display, video, and connected TV (CTV). Attribution windows vary by partner and by format.
Audience portability compounds it. Retailer audiences often can’t move across platforms, so teams rebuild the same strategy in several systems and hope the definitions roughly align.

Over half of advertisers, 55%, name the lack of cross-network measurement standards as a top challenge. A campaign can look stronger on one network than another for no reason other than a different reporting rule. You can’t move budget on numbers that don’t compare or show incremental lift, and yet most teams are trying to.

Off-site growth makes this harder to ignore

On-site inventory is approaching its ceiling. Sponsored results now appear on 99% of product search pages at Amazon and Walmart, and ad density has reached as high as 50% on key retail search pages. Off-site spending is growing at twice the rate of on-site.

Devices and website graphics on the left connected to an illustration of a woman with purple hair surrounded by three icons with question marks

Off-site carries commerce signal away from the environment that created it. Every handoff is a point where the audience definition, the match rate, and the measurement logic have to hold. These are solvable problems, and they show up in the same form at every handoff, which makes them worth solving once instead of campaign by campaign. Fragmentation that stayed manageable inside a retailer’s own properties becomes something to design for the moment the signal travels.

Interoperability starts with a shared identity layer

Brands and networks need a common way to recognize the same consumer wherever a campaign runs. That layer has to draw on retailer, brand, and campaign signals together, and it needs consistent definitions from one network to the next. Get that right and performance sits on common ground, even with every network’s particular reporting rules.

Stylized illustration of a central user profile connected by spokes to six magenta icons — an email envelope, smartphone, desktop monitor, laptop, TV/monitor, and a cookie — representing multi-device connections and tracking.

That layer matters more as AI takes over more of the optimization. Models inherit whatever inconsistency sits in the data beneath them, so audience definitions that shift from one network to the next degrade every decision that follows. Better models won’t fix a fragmented identity layer, but they will scale its errors faster. Networks can get ahead of this by settling the identity layer first, standardizing audience definitions so they hold on-site and off-site and give the models downstream something dependable to learn from.

Signal expansion belongs in the same conversation. First-party data reflects the customers who logged in, joined the loyalty program, or completed a transaction. Irregular buyers, emerging segments, and high-value prospects who are actively in-market show up faintly or not at all in that view, even though signal about them exists elsewhere in the ecosystem. A shared identity layer that connects to a marketplace of data providers closes part of that gap, and it does so without asking any network to hand over raw records.

This is also what opens commerce media to brands that will never own a media network. Most companies sitting on valuable first-party data don’t have the traffic or the assortment to build what Amazon and Walmart built, and they don’t need to. Combining signal with trusted partners produces audiences larger and more valuable than any one of those brands holds alone. That’s how a brand participates in commerce media without becoming a media company.

Networks need infrastructure, and neutrality decides whose

A mid-sized commerce media network runs into the same ceiling from the other direction. Owned inventory has a limit, and so does owned data. Growing past both means off-site reach, enriched audiences, and measurement that holds up next to the largest players, and building all of that in-house isn’t realistic for most networks. What they need is infrastructure that supports expansion without giving up control of the customer relationship.

That makes the choice of whose infrastructure a consequential one. Brands and networks should look hard at the commercial position of any partner they put at the center of identity and measurement. A partner with interests in a specific demand-side platform (DSP), supply path, or set of agency relationships gains visibility into every deal that moves through it, and that visibility shapes incentives over time. Networks are right to weigh it carefully.

Experian competes in none of those layers. Our position strengthens when the ecosystem stays open and brands keep the freedom to work across partners, platforms, and evolving technologies. Independence is what makes shared infrastructure possible.

Consistency is the constraint on the next round of growth

Commerce media maturity trails its ambition. 42% of teams believe they have operationalized commerce media, while only 13% qualify as advanced against leadership, technology, measurement, and operations.

Closing that gap depends on identity discipline more than network count. A brand that recognizes the same consumer across every network it buys can compare results, move budget with confidence, and hold every partner to one standard. Without that, each new network adds spend and subtracts clarity.

Consistency is what turns commerce media from a set of separate programs into something a brand can actually manage.


About the author

Head-and-torso portrait of a smiling adult man with short brown hair, wearing a white collared shirt layered under a dark sweater and black jacket, posed against a plain light gray background.

Kevin Dunn

Chief Revenue Officer, Experian

Kevin Dunn joins Experian Marketing Services with more than 20 years of leadership experience across marketing and advertising technology, most recently serving as Senior Vice President of Brands and Agencies at LiveRamp. In that role, he led growth across retail, CPG, travel, hospitality, financial services, and healthcare, overseeing new business, account expansion, and channel partnerships.

Kevin is known for building cohesive, accountable teams and leading with optimism, clarity, and a strong sense of shared purpose. His leadership philosophy centers on empowering people, driving positive outcomes for clients and fostering a culture where teams can grow, take smart risks, and succeed together.


Latest posts

Forrester Study—how identity resolution can help marketers prepare for data deprecation and improve data quality

Marketers are under more pressure than ever before to prove ROI and efficiency of marketing activities in relation to business performance. On top of that, there are new privacy regulations and uncertainty around what new technologies will have to be implemented in order to replace the granular level targeting and measurement the industry historically has used third-party cookies for. It’s clear marketers are going to need the right tech stack and partners to continue to prove their team’s efficacy. We recently partnered with Forrester Consulting to evaluate the current state of customer data-driven marketing and surveyed over 300 global marketing decision makers at the brand and agency levels. We found that marketing is facing increased demands today, insights from the study include:Consumers expect brands to deliver engaging experiences across highly fragmented journeys. Seventy-two percent of decision-makers reported that customers demand more relevant, personalized experiences at the time and place of their choosing. Marketing runs on data, but the rules governing customer data usage are changing quickly. More than 70% of study participants stated that consumer data is the lifeblood of their marketing strategies, fueling the personalized, omnichannel experiences customers demand. These demands paint a challenging picture. Just as marketers are poised (and tasked) with delivering greater value to their organizations and customers, the ground rules are changing and threatening their ability to deliver. Indeed, 62% of respondents said that the forces of data deprecation will have either a “Significant” (40%) or “Critical” (21%) impact on their marketing strategies over the next two years. Effective identity resolution can help brands prepare for data deprecation challenges Marketers face a daunting landscape, but they can leverage the data, technology, and processes that comprise identity resolution to address business objectives, combat ecosystem complexity, and future-proof customer engagement efforts. By utilizing identity resolution, marketers will be able to match and connect multiple identifiers across devices and touchpoints. This allows for a cohesive, omnichannel view that enables brands to continue to deliver personalized and contextually relevant messages throughout the customer journey and without the use of cookies. The identity graph is the underlying infrastructure that defines connections between the numerous, fluid, and disparate identifiers created during moments of consumer engagement, turning disparate signals into addressable and actionable steps. These connections enable brands to bolster their ability to gain deeper customer insights and power audience building, attribution, and connected measurement. Identity resolution encompasses a wide range of capabilities that support an equally diverse set of marketing use cases. These include the targeting, personalization, and measurement of both known and pseudonymous audiences in the offline and digital worlds, which enables marketers to improve customer data management, drive more effective personalization, and gain insights and efficiencies through measurement across touchpoints. By taking the time to vet the privacy procedures and data collection processes of identity solutions you can reduce your regulatory risk and maintain customer trust. In an open-ended survey response, a marketer shared, “We’ve found that users are willing to volunteer data when they understand what it’s being used for and are asked for clear consent.” Finding the right partners to help navigate the changes The scramble to find an alternative to third-party cookies has slowed down since Google announced they will be delaying their cookie removal until late 2023. However, this gives marketers a unique opportunity to take advantage of the additional time and feel more prepared and confident in their solutions. With the delay, marketers can now test ID solutions and compare apples to apples with data from the third-party cookie while it’s still active and addressable. Test and find a solution that works now, so there are no surprises once cookies have finally made their way out the door in 2023. At Tapad, a part of Experian, we’ve developed a solution that provides agnostic interoperability for the myriad of cookieless identifiers emerging in the market. As a new module in the Tapad Graph, Switchboard will connect traditional digital identifiers to cookieless IDs to support the entire ad ecosystem with privacy-safe future-proof identity resolution. Get in touch 

September 23, 2021 by Experian Marketing Services
Uncovering hashed email: you may be sitting on a goldmine of customer data and don’t even know it

Email hashing was originally intended to be used as an email security feature that has ended up being a very powerful marketing tool. A hashed email is a cryptographic function that changes an email address to a random code which can be used as an anonymous customer identifier. This code is privacy-safe and cannot be traced back to the customer’s email address. However, this hashed email can function like a digital passport that traces every behavior and action a customer takes when logged into an account that is authenticated with an email, making hashed emails a goldmine for customer data. Today emails are used across traditional publishers and within the CTV ecosystem; tying them to more consumer touch points than ever before. Why the emphasis now? Cookies are on their way out the door and have been the primary way that many marketers have tracked their existing and potential customers. In order to replace this granular level of data, marketers are likely going to need multiple solutions. With so many cookieless solutions and IDs appearing in the marketplace, the mapping of the customer journey is bound to be fragmented. Relying on first-party data, such as hashed email, is just one way to reduce that fragmentation; as it can serve as an authenticated starting point for cross-device identity resolution that can be leveraged for targeting, personalization and measurement. How can Tapad + Experian help? Tapad + Experian’s Hashed Email Onboarding is a privacy-safe way to connect consumer email addresses to their related digital devices and other digital identifiers through high precision probabilistic identity. By onboarding hashed emails and incorporating them within your Tapad Graph file you can: Build a more holistic view of individuals and households and their relationship to email addresses in your first-party data set Leverage these relationships for increased cross-device scale for targeting Employ personalization tactics at the household or individual level across devices Create new audience segments and look-alike models for cross-channel activation Design more inclusive measurement and attribution for customer journey mapping Tapad, a part of Experian has built a hashed email onboarding product feature that works with the existing flexibility of The Tapad Graph to deliver the most holistic consumer view, combined with the attributes you need, in the structure that works best for your business objectives. Get in touch

August 25, 2021 by Experian Marketing Services
Connect the disconnect in your CTV universe

The result of epic shifts from traditional cable to streaming television, the CTV ecosystem is experiencing compounded fragmentation, making it challenging for marketers to leverage in the most effective way for both activation and measurement. Heralded as the hot new household level device for highly engaged viewers, CTV brings massive opportunities for brands to move users down the funnel and incorporate CTV into their attribution modeling post-campaign. Leveraging CTV IDs within a cross-device identity resolution strategy can yield big benefits if you know how to do it right. Check out our breakdown of today’s CTV landscape to help you better understand how and what you can leverage for activation and measurement in the streaming-verse today. CTV Ecosystems as identifiers (for illustrative purposes only) This is just a small peak at the players and complexities of CTV IDs available for marketers today, but it illustrates the need to understand what IDs can benefit your strategies and where you can use them. Addressability and attribution Not all CTV devices and IDs are addressable; or have ad slots for biddable inventory for advertisers. For example, Apple TV devices and Apple TV + are not ad supported, but could still appear within an identity graph for measurement purposes; helping understand customer behavior and habits, which can inform marketing strategies. Having a household to individual view that’s as inclusive as possible can provide valuable insights. CTV identity strategy Whether or not CTV devices or apps are addressable for advertisers, they can bring immense value when leveraged as part of a holistic identity resolution strategy. As a household level device with user authentication it can provide marketers a top-down view; unlocking household:individual targeting opportunities and unification of IDs at both levels for frequency management and customer journey mapping Get started with us Tapad, part of Experian, offers CTV ID onboarding and extension to our CTV ID Universe as a part of The Tapad Graph suite of products. 

August 25, 2021 by Experian Marketing Services