At A Glance
Experian introduces a solution for commerce media networks (CMNs) that connects first-party shopper data with trusted identity, audience, activation, and measurement capabilities. Brands gain deeper shopper insight, broader off-site reach, and closed-loop measurement across channels, with a clear path to incremental media revenue.Experian is introducing a solution designed specifically for commerce media networks (CMNs) to capture more advertising revenue. This solution connects brands’ first-party shopper data, combining it with Experian’s #1 ranked identity and audience services. Together, these capabilities help CMNs gain deeper customer insight, build richer audiences for activation, extend reach outside of their owned and operated inventory, and run real-time measurement and attribution.
Why are commerce media networks investing in audience and identity solutions?
CMNs now play a central role in how brands reach high-intent shoppers. CMNs are expected to offer more than on-site placements. Advertisers want broader reach, consistent targeting, and proof of performance. Experian’s solution is built to address those expectations by helping CMNs turn common challenges, including limited audience visibility and reach, and growing demand for programmatic access, into revenue opportunities. By working with Experian, CMNs can better understand their customers, extend reach beyond owned platforms, and show return on ad spend as shoppers move from ad exposure to purchase.

How does Experian help commerce media networks grow media revenue?
As commerce media continues to expand, success depends on understanding shoppers and monetizing that knowledge responsibly. Experian’s solution supports CMNs across identity, audience development, activation, and measurement, with benefits designed to support growth.
Identity resolution
Every CMN captures authenticated first-party data, whether collected online or offline. On its own, that data represents only a portion of a customer or household’s addressable footprint. By connecting to Experian’s identity graphs, CMNs gain a broader view of their customers across offline and digital environments, supported by coverage across 126 million households, 250 million individuals, and 4.2 billion digital IDs.
Expanded insights
Understanding shoppers at scale is critical for commerce media networks looking to differentiate their offerings and grow media revenue. Beyond data hygiene, Experian enables CMNs to build customer profiles that go deeper than purchase behavior alone, incorporating demographics, lifestyle attributes, TrueTouchSM, Mosaic® USA, and more.
These insights help CMNs better understand who their audiences are, identify high-value segments, and create unique, differentiated audiences at scale. By offering brands a clearer view into shopper behavior and intent, CMNs can attract the right brand partners, support more effective activation strategies, and position their network as a premium destination for commerce media investment.
Create audiences
CMNs can enrich first-party data with Experian Marketing Data to build custom segments for advertisers. With more than 5,000 Marketing Attributes available, CMNs can help advertisers reach first-party audiences enhanced with data based on demographics, media preferences, and behavioral signals.
Maximize reach and distribution
Experian’s Third-Party Onboarding capabilities allow CMNs to move audiences from owned platforms into programmatic, television, and social channels. Through Experian’s network of more than 20 platforms, including The Trade Desk and Magnite, CMNs can extend audience reach and create new monetization opportunities. Self-service tools, native integrations, and transparent pricing support efficient activation.
Through Experian’s Curated Deals, CMNs can make their data usable in private marketplaces (PMPs), offering unique data for advertisers to build their PMPs. This helps advertisers obtain more reach, achieve their intended outcomes,and offers CMNs another way to monetize their data.
Demonstrate success
CMNs need clear, trusted measurement to support advertiser investment. Experian’s Activity Feed empowers CMNs to run attribution, so they can show their clients the impact their data delivered. It does this by connecting ad exposures and consumer touchpoints across environments, including web and connected TV (CTV), to households and individuals, making the link between ad exposure and consumer action clear.
Case study: How Experian enhanced addressability for a leading retail media network
A leading RMN has worked with Experian since 2021 to better understand its customers, organize first-party shopper data, and activate audiences across the digital ecosystem. Experian supported this RMN in reducing reliance on third-party cookies by anchoring shopper data to more stable digital identifiers, including mobile ad IDs (MAIDs), hashed emails (HEMs), CTV IDs, and Unified ID 2.0 (UID2).
As a result, addressability across owned platforms and programmatic channels increased by nearly 300%. This improvement supported more consistent reach and measurement throughout the shopper journey.

“Accurate data is the backbone of effective commerce media strategies, and Experian’s top-tier data solutions are critical for precise targeting and audience delivery. Experian’s advanced capabilities in data onboarding, customer audiences, and robust identity graphs allow advertisers to seamlessly reach the right audiences.”
NexChatper IncArt Sebastian, CEO
What value does Experian bring to commerce media networks?
Experian supports CMNs with a combination of identity, data quality, and ecosystem connectivity.
How can commerce media networks partner with Experian?
Experian’s data and identity solutions help commerce media networks make the most of their opportunity. By connecting shopper insight to activation and measurement, CMNs can strengthen advertiser relationships and grow revenue.
Connect with a member of our team to learn how Experian can support your commerce media strategy.
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FAQs
Experian’s solution for CMNs connects first-party shopper data with identity, audience, activation, and measurement capabilities. Commerce media networks use it to expand reach, support advertisers, and measure outcomes across channels.
Identity supports commerce media performance by connecting shopper data across devices, channels, and environments. This connection supports consistent targeting, broader reach, and measurement tied to real purchases.
Yes. Experian enables activation across programmatic, television, and social platforms through Third-Party Onboarding, direct platform integrations, and Curated Deals through PMPs.
Experian supports closed-loop measurement for commerce media networks through Activity Feed. Activity Feed links exposures and online actions to households and individuals, enabling CMNs to easily run attribution. With Activity Feed, commerce media networks can show how media contributes to shopper behavior and sales.
Latest posts

To our valued customers and partners, it’s been an exciting week here at Tapad! As announced in a press release this morning, Tapad is now a member of the Experian family. We’re thrilled to continue to grow as a leader in identity resolution under the umbrella of a global expert in data, analytics and technology. Tapad and Experian are deeply connected by our commitment to serving the needs of our customers; and with a focus on quality of the data we provide, we have a common goal for the future of identity in the advertising ecosystem. As part of this announcement, we wanted to assure you, our valued customer, that we remain deeply committed to serving you today just as we always have. Nothing will change in your daily operations with Tapad. Experian immediately recognized that the success and growth of Tapad was directly tied to the strength and depth of its team members. As such, the acquisition will not result in any changes to day-to-day contacts at Tapad, or processes with weekly graph deliveries and other product support. Experian’s faith and investment in Tapad’s future and the future of identity resolution underscores what we’ve always believed our products could achieve and that we will be able to continue serving brands, advertisers, publishers, and the advertising and marketing ecosystem for years to come. On a personal note, I am excited to be transitioning my role as Chief Operating Officer of Tapad to the General Manager position of a global business that’s achieved exponential growth over the past several years; culminating in this strategic acquisition that will no doubt bring even more value to our customers in the future. We remain committed to open communication and welcome any questions you may have. Thank you,Mark Connon | General Manager, Tapad Contact us today

Addressable TV has been through a transformation in the past year. Streaming content has become the most coveted space for creators and advertisers with the rise of new apps and platforms; but the influx of stay-at-home orders around the country have shifted television viewership as we know it, and streaming apps are popping up in droves to take advantage. So, how can you? With no shortage of opportunities to advertise on addressable TV and CTV, how does it fit into the media mix? And furthermore, how can you attribute this household-level device into your overall strategy? Tying it all together Layering addressable TV within digital ad campaigns couldn’t be easier today — but applying the right targeting and cadence between all of your digital efforts; and tying them together in attribution takes the right kind of data. Marketers can use CTV identifiers coupled with other device identifiers available in The Tapad Graph to not only target impressions but also map addressable TVs within the consumer journey; and unify strategies between household decision makers to better personalize messaging. 1 The Trade Desk Q2 2020 Earnings Call Transcript, August 2020; 2 iSpot Report, via Deadline, July 2020; 3 Flixed.io, January 2020 Contact us today

For the past several years ad-tech defined the value of identity at the individual level; made possible by the evolution of data, technology and machine-learning. But, earlier this year COVID-19 set in motion many shifts in consumer digital behavior. The more we’ve been working and learning from home, using devices that are shared amongst an entire household, the more apparent it is that marketers need to shift their strategies to align with these changes. Did you know the average household owns eleven or more connected devices? And the longer we’ve been at home, the more these devices are shared by multiple individuals. If you’re looking for a few simple ways to evolve from an individual focused strategy to a household strategy, here’s a good place to start: Audience segmentation Traditionally, audiences are built with a narrow focus on a single user, and what known attributes about that individual or their brand engagement can be leveraged for a targeting strategy. Now that screens are being shared between multiple users in a home, how can you be sure you’re identifying them correctly, and thus, segmenting them in the right buckets for targeting? The key lies in the ability to connect those points through identity resolution. Using ad exposure from household level devices, followed by a second engagement from an individual within that household can indicate a user is a better candidate for purchase or conversion than others. So before you build audiences for targeting, you can qualify them at the household level for segmentation with more confidence. Example: An auto advertiser uses audience segments from a third party provider such as ‘auto intenders’ to target individuals with new pricing offers. They would continue retargeting these users, unaware that some are connected in the same household, and thus are probably not all in the market to actually get a new car. By bucketing users that share a common household device within this third party segment, they can hone in on which individuals are actually in-market for a car and evolve their strategy to be more effective. Targeting Retargeting, frequency capping and sequential messaging have always been meant for an individual user — the more they’re exposed to your brand in a personalized way, the more likely they are to take the desired action. But, have you considered that multiple users could have a shared initial exposure to your brand? Today, you can target a household of potential consumers on a shared device like a CTV, and employ those retargeting strategies based on that common initial exposure. Starting at the household level, means you can compare movement through the funnel between different individuals in that household, and tailor your targeting accordingly. Perhaps you realize only one person in that household will convert and you tailor messaging to them more frequently, while confidently suppressing the other individuals. Example: a CPG brand uses OTT advertising, but doesn’t incorporate it within their sequential strategy, because they consider it just a ‘brand awareness’ opportunity. By using OTT more strategically as a household level engagement, it can reveal which individuals within a household are more favorable towards a brand further down the funnel. So, you can spend impressions targeting those users, rather than wasting impressions on multiple individuals within the household. Measurement Measurement and attribution are imperative to understanding the path to purchase and making strategies more efficient over time. Often that efficiency involves adding or removing devices and channels from a targeting strategy based on their contribution to an action or conversion by an individual. This year we’re seeing addressable TV devices explode in use, which are shared at the household level. Even desktop computers are being used by more people in the home due to COVID-19. So, assuming a linear path of attribution by an individual is missing the full picture. Identity resolution can help you understand where messaging was more effective for some users in the household than others, and leverage that insight to continue more effective strategies in the future. Example: Without a household view, a direct-to-consumer brand would assume all interactions from one device would be coming from a single individual, and that could create a higher cost-per analysis. By incorporating the household level devices into attribution models, they can find efficiencies between touch points of multiple users, and learn how those split off into individual paths to conversion. Not only can this DTC create a more effective model, but they can use that model to create cost efficiencies in the future. Contact us today