In this article…

Retail media has been on everyone’s radar for a while. Commerce media has also established itself as a significant player in the AdTech industry over the past few years. While retail media focuses on engaging customers within a retailer’s ecosystem, commerce media goes beyond these boundaries to capture the entire shopping journey, spanning multiple touchpoints, channels, and platforms.
But what is commerce media, and why should we care?
Commerce media is here to stay
Estimated to hit $33.86 billion this year and more than double by 2028, the hunt is on to capture as much of retail media’s projected ad spend as possible. However, given the numerous verticals expanding their retail media strategy to include any touchpoint within the commerce channel, it might be time to lower the retail media flag and hoist the LUMA dubbed “commerce media flag.”
So why are Travel, Financial Services, and other verticals focusing on the commerce media ship?
- Authenticated and digital users (usually app-driven)
- Consented data that provides unique insight into the household’s or consumer’s intent/purchase behavior
- Emerging focus on advertising as an important revenue stream for the future
With all this “data” at their disposal — why is it not smooth sailing for commerce media to build an ad-supported business? What’s missing for them to acquire the lucrative billions efficiently and effectively?
Why retail media networks are important
Retail media networks (RMNs) are now a major tool for brands to connect with shoppers. These networks gather valuable data from customers who browse and shop on e-commerce sites and apps. What makes RMNs so powerful is that they allow brands to advertise directly to people who are already interested in buying, leading to more successful sales.
For marketers, RMNs offer a clear way to reach potential customers and ensure their advertising dollars are well spent. But as competition grows and consumer habits change, these networks must keep improving. To stay ahead, brands will have to find new ways to use RMNs effectively, linking them with other parts of the commerce media world to unlock even greater results.
Differences between building a loyalty program and developing ad products
Loyalty programs are the backbone of commerce media networks; however, creating a loyalty program is much different than building an advertising product. It requires commerce companies to bring on additional people, technology, and partners to execute flawlessly.
There are four areas to consider:
1. Organizing your data at scale
To successfully build an ad-supported business at scale, data must be organized to initiate action (targeting and/or measurement). However, this requires changes in company culture. Both the business and technology infrastructure must be updated. Additionally, commerce media companies must update their mindset around creating and selling products.
2. People
We have seen this story before, with large opportunities comes the requirement for new talent. Where are we seeing commerce media companies recruit from? AdTech and MarTech. Whether it’s engineers or data scientists, business development and partnership leads, or even your direct sales team, the poaching has begun. To build a successful business around advertising, experts are needed who can navigate the waters.
3. Partner vs. build
The Requests for Information (RFIs) and Requests for Proposals (RFPs) for any combination of agency, demand-side platform, supply-side platform, customer data platform, identity graph, clean room, and beyond are piling up. One trend is clear: commerce media companies are looking for collaborative partners to provide a true strategic partnership to take on the complexities of the transition away from retail media.
4. Identity will remain the keystone to success
All commerce media companies have some identity data that reveals a slice of their customers’ viewpoint. Yet, unlocking the broad view of these audiences is crucial to success. These companies need to use the “full pie” to see well-rounded profiles, gain the reach required to access them across many channels, and turn opportunities into revenue.
Advertisers can finally close the loop with commerce media networks
Commerce media companies with real-time transaction data enable advertisers to see true ROI on their ad spend when products move off the shelves. Measuring real product lift/sale touch points across multiple channels will put performance and measurement front and center. Programmatic was the promise of performance advertising. Well, commerce media may finally fulfill that vow, creating enough value for companies to make it a real competitor to social channels.
While retail media will always exist, the transition to commerce media has become increasingly popular and is here to stay. The journey might not be a straight shot to perfect results, but the data, partnerships, and resources are out there and ready to hop aboard to help guide commerce media companies to success.
The future of commerce media
Commerce media shows no signs of slowing down. More industries are seeing the benefit of making every customer touchpoint an opportunity to drive sales. Whether through social media shopping or in-app purchases, commerce media pushes businesses to create smoother, more connected shopping experiences for consumers.
In the future, brands won’t just compete on prices or products — they’ll stand out by offering simple, seamless shopping experiences across all devices. With better data and tools to track consumer behavior, brands will be able to personalize their ads and measure their success in real time. Commerce media allows brands to see a direct link between their ads and sales. Those who can adapt and keep up with these changes will come out on top.
Create a connected customer view with Experian
At Experian, we empower RMNs to unlock the full potential of their first-party data through comprehensive identity and audience solutions. Our data-driven capabilities enable RMNs to build a deeper understanding of their customers, optimize audience targeting across channels, and create enriched, actionable segments that drive measurable outcomes.
By seamlessly connecting our offline and digital data, we help RMNs organize identities into households, device IDs, and more. Each household is enriched with valuable marketing insights, allowing you to gain better customer understanding, create targeted advertising, and reach the right customers across different devices. Additionally, you’ll be able to measure the effectiveness of your advertising efforts.
With our support, RMNs can maximize revenue opportunities, extend reach, and confidently demonstrate the value of the network to advertisers.
Contact us today to find out how Experian can help you succeed in commerce media.
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The rise of streaming TV advertising is revolutionizing the marketing landscape, bringing together the best of traditional television's broad audience reach and digital's precise targeting capabilities. Marketers now have a new platform to explore, but it comes with its own set of challenges and opportunities. To shed light on this topic, we hosted a panel discussion at Cannes, featuring industry leaders from AMC Networks, Disney, OMG, Paramount, Roku, and Experian. In this blog post, we'll explore the effectiveness of TV as a performance channel and audience targeting. TV as a performance channel Television has come a long way over the years. The evolution of linear TV to connected TV (CTV) is opening new possibilities for targeting and performance measurement, like what we're accustomed to in search and display. However, there's still a way to go. What's preventing us from fully realizing the potential of CTV? Let's explore what's holding us back. Three challenges Advertisers are captivated by CTV, a media platform that combines the best features of TV and digital advertising. With its unparalleled data and identity capabilities, alongside the immersive TV experience, it has the potential to be a powerful performance channel. However, we still face three challenges as performance dollars take center stage. "CTV is a valuable household device that provides direct audience insights. However, to gain a comprehensive understanding of the household and the individuals in the household, we need different techniques. The implementation of such methodologies from user level profiles to algorithmic inferences are still evolving across different companies." Louqman parampath, vp, product, roku Client education Performance marketers and agencies are still primarily focused on social and search. It's important to reassure them that CTV aligns with their established standards. Optimize KPIs We need to address the challenges around attribution and incrementality. We should optimize for the KPIs that performance marketers desire, which are different from the metrics commonly used in social media and search marketing. Results-driven interactions You should invest in interactive ad formats and novel experiences to give users clickable options that deliver the instant impact of performance marketing. While conversions and purchases can happen after seeing an ad thanks to view-through attribution, your goal should be to make video ad experiences feel like performance-based engagements. This transition is crucial to building trust and familiarity among performance marketers and agencies. Strategies to effectively reach audiences across different mediums There are various mediums to connect with consumers — TV, digital, and mobile offer multiple avenues. Which strategies should you prioritize? Data interoperability When it comes to buying unified audiences, programmatically is the easiest route. By prioritizing data interoperability, you can ensure a seamless buying experience across all screens. "At Disney, we focus on data interoperability with industry solutions such as The Trade Desk/UID2, Google PAIR, and Experian and the LUID, making it effortless to buy unified audiences programmatically across all screens. With an identity graph as the foundation of our tech stack, we help our clients reach their target audience across linear, digital, and streaming properties."jamie power, SVP, addressable sales, disney Advanced targeting capabilities in linear TV Don't limit your perspective on television consumption to traditional streaming platforms alone. While streaming is popular, it's equally exciting to see advanced targeting capabilities integrated into linear television. Viewer habits are shifting, with appointment TV becoming a thing of the past. Today, viewers have more options to watch a variety of programming, regardless of its age. "Streaming has become another platform for viewers to consume programming, and it's exciting to see digital targeting capabilities being applied to linear TV. Viewer behavior has changed, with more opportunities to consume programs at different times, so it's important to use targeting capabilities like linear addressable to effectively reach the audience across multiple channels."evan adlman, Evp, commercial sales & revenue operations, amc networks While live premieres still attract a substantial audience, utilize linear addressable targeting to reach viewers across channels. By doing so, you can ensure your message reaches the right viewers at the right time. The viewership landscape has diversified – it's time to adjust our strategies. Make TV viewing patterns predictable To bring predictability to the unpredictable and fragmented landscape of TV, advertisers can create products that simplify and unify the viewing experience. This allows users to effortlessly transition between episodes, resulting in a cohesive and engaging viewing journey. Watch our Cannes panel for more on the future of streaming TV advertising We hosted a panel in Cannes that covered the future of streaming TV advertising. Check out the full recording below to hear what leaders from AMC Networks, Disney, OMG, Paramount, Roku, and Experian had to say. Watch now Check out more Cannes content: Our key takeaways from Cannes Lions 2023 Insights from a first-time attendee Four new marketing strategies for 2023 The future of identity in cookieless advertising Maximize ad targeting with supply-side advertising Follow us on LinkedIn or sign up for our email newsletter for more informative content on the latest industry insights and data-driven marketing. 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As a marketer, you know that the digital landscape is always changing. That's why it's important to make sure you're equipped with the right tools every step of the way – no matter how rapidly things change. You want to ensure your strategies and tactics stay ahead of any changes in technology or consumer behavior, so what new marketing strategies should be in your toolbox in 2023? Discover what industry leaders from Experian, Adweek, FreeWheel, Tubi, and Instacart had to say about what should be in every marketer's toolbox in 2023 at Cannes. Keep reading to learn the top four new marketing strategies you need in your marketing toolbox for 2023 and beyond. 1. A plan for signal loss The first item you should have in your marketing toolbox is a plan for signal loss. The phasing out of third-party cookies presents both a challenge and an opportunity. This shift not only poses challenges but also opens up opportunities for alternative strategies. 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Four things to consider when planning for signal loss There are four things you should consider when building out a plan to address signal loss and fragmentation. Channel diversification You need to reach your customers on the channels where they are already spending time, such as social media, email, and your own website. You should work with platforms that have first-party data to understand how your customers interact with your brand. Data privacy You need to be transparent about how you are collecting and using customer data. You should also anonymize data whenever possible. First-party data First-party data is now more crucial than ever, awakening its importance in shaping our actions. The combination of channel diversification and first-party data will be essential in the years to come. By focusing on these two areas, you can build stronger customer relationships and create more effective marketing campaigns. Contextual targeting Contextual targeting is emerging as a viable method to deliver more relevant content to your intended audience. By embracing signal loss, the alternative new marketing strategies that are emerging as a result, and adopting a privacy-centric mindset, you can navigate cookie deprecation. 2. Collaboration The second item you should have in your marketing toolbox is collaboration within the AdTech ecosystem. To address signal loss and changes in privacy, moving toward a more collaborative, holistic marketing ecosystem is key. Two ways we can achieve better collaboration Here are two ways we can create better collaboration in the AdTech ecosystem. Enable interoperability We should aim to create an ecosystem that fosters collaboration between marketers, publishers, advertisers, ad tech companies, and more. When we enable seamless interoperability, everyone can use the best data available. 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Helps drive impactful results and customer satisfaction The tool is a perfect analogy for improving your job performance and business operations. Having the right data input to feed the machine is crucial, just like using the right ingredients to cook a perfect meal. Keeping the consumer in mind throughout the process is key. You can ensure customer satisfaction by putting the right ingredients in and allowing the machine to work its magic. Scaling up, repeating, and refining the process will drive impactful results. 4. First-party data The fourth item you should have in your marketing toolbox is first-party data. Benefits of implementing a first-party data strategy Moving from a third-party cookie world to a first-party cookie world brings about significant transformation. Here are two benefits of implementing a first-party data strategy. Greater accuracy The shift to first-party cookies ensures greater accuracy, enabling us to establish critical mass through secure partnerships. 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It's back-to-school season. Knowing your target audience is an essential piece of planning a successful back-to-school marketing campaign. To get the most out of your marketing investment this back-to-school season, it’s important to understand how to identify and segment back-to-school shoppers so you can make sure that the right message reaches the right group at the right time. In this blog post, we'll cover how you can segment your target audience to create and deliver custom messaging tailored to individual groups. We'll discuss segmentation methods that uncover: Who they are Where they live What type of person they are How they behave and spend Here are our tips to accurately define and target your back-to-school marketing audience. Maximize back-to-school marketing with customer segmentation Customer segmentation is the process of dividing your audience into smaller groups based on common characteristics such as demographics, behaviors, psychographics, geographics, and more. The purpose of customer segmentation is to create a more personalized and effective approach to marketing. By understanding the unique needs and preferences of each segment, you can tailor your messaging, campaigns, and content to resonate with your customers on a deeper level. Benefits of customer segmentation Three benefits of customer segmentation include: Improved audience targeting Higher engagement rates Increased ROI Instead of addressing your entire customer base with generic messaging, segmentation enables you to deliver custom campaign messaging that speaks directly to each group. This personalized approach helps build trust and loyalty with your customers over time. Customer segmentation also allows you to better understand your customers, their motivations, and pain points, ultimately leading to more effective marketing campaigns. Types of customer segmentation When it comes to segmenting your customers, there are several methods to consider. By experimenting with different approaches, you can find the best fit for your business. Keep in mind that the most effective customer segments will differ depending on the industry. Let's review four types of customer segmentation that you can implement as part of your back-to-school marketing strategy. 1. Demographic segmentation Demographic segmentation categorizes consumers into groups based on shared demographic characteristics such as age, gender, income, occupation, marital status, and family size. For example, targeting college students during the back-to-school season with promotions on laptops is likely to be more effective than targeting retirees who may have less interest in such products. 2. Behavioral segmentation Behavioral segmentation divides customers into groups based on their demonstrated behaviors. This method sorts customers by their knowledge of products or services, attitudes toward brands, likes/dislikes about offers, responses to promotions, purchasing tendencies, and usage of products/services. Behavioral segmentation can help you identify the highest-spending customer segments, so you can budget and target more effectively. Through this type of segmentation, you can analyze each group's patterns, discover trends, and plan informed marketing moves for the future. In a back-to-school campaign, you could use behavioral segmentation to identify students who prefer to shop locally. You could then target students who value supporting local businesses and emphasize the importance of buying from local retailers during the back-to-school season. 3. Geographic segmentation Geographic segmentation involves dividing your target market into groups based on their physical locations. Geographic segmentation reveals aspects of a local market, including physical location, climate, culture, population density, and language. In a back-to-school campaign, you could use geographic segmentation to identify target audiences in colder climates who may be more interested in winter clothing and gear. You could also use geographic segmentation to target students living in college towns with messaging that speaks directly to campus life. 4. Psychographic segmentation Psychographic segmentation groups customers based on psychological factors such as lifestyle, interests, personality, and values. In a back-to-school campaign, you could use psychographic segmentation to target students who value sustainable practices, promote eco-friendly products, or offer incentives for recycling and reusing items. Watch our 2024 video for tips from industry leaders for back-to-school In our new Q&A video with Experian experts, we explore changing consumer behaviors surrounding back-to-school shopping in 2024. In the video, we discuss: Anticipated shifts in consumer behaviors and shopping habits Tactics we predict marketers will employ to navigate signal loss Which channels will be the most successful And more! Watch now Get in touch Latest posts