Complementary strategies that support different KPIs.
With the demise of third-party cookies, companies are pursuing new ways to understand their customers and personalize advertising. Organizations’ first-party customer data, collected with the customer’s consent via a loyalty app, website or in-store Wi-Fi, is extremely valuable for other companies whose customers overlap and are looking to increase reach, brand awareness and sales.
Organizations can monetize their first-party customer data with a data cooperative (data co-op), media network (MN) or both. It’s not an either/or decision: Data co-ops and MNs are geared toward different goals and key performance indicators (KPIs).
Data co-ops are the digital equivalent of marketing co-ops. While marketing co-ops share advertising costs, such as a perfume TV spot ending with “Available at Retailer A,” data co-ops share first-party customer data that’s been stripped of personally identifiable information (PII) in a data clean room. The company that operates the co-op typically charges a subscription fee to other members, helping to convert customer data storage from a cost center to a high-margin revenue center.
Membership in a data co-op will appeal most to brands and suppliers that sell through shared stores or digital properties, so-called endemic companies. These companies are focused on KPIs like awareness, reach and new customer acquisition. Sometimes they are also looking for a sales lift, for example, by identifying lapsed buyers of a particular product to target in an email campaign.
Data co-ops are the digital equivalent of marketing co-ops. While marketing co-ops share advertising costs, such as a perfume TV spot ending with “Available at Retailer A,” data co-ops share first-party consumer data that’s been stripped of personally identifiable information in a data clean room.
Publicis Sapient sees two major changes in data co-ops on the horizon. The first is an uptick in partnerships between non-endemic companies that have overlapping customers. For example, a hotel chain and an airline each have customer data that’s valuable to the other for targeted marketing purposes. Second, following the example of customer relationship management (CRM) platforms, data co-ops are evolving to include digital signals about customers’ media exposure and whether the exposure resulted in the desired conversion action, such as a purchase.
MNs can bring in exponentially more revenue than data co-ops, though they are also more challenging to build. A MN is a company-owned advertising platform that uses the company’s privacy-protected first-party data (and sometimes second- and third-party data) to target advertisers’ likely customers and give them near real-time insights about campaign effectiveness. Although commonly referred to as retail media networks (RMNs), they aren't only for retailers any business with a cache of customer data can use it to open up a new revenue stream with MNs.
Think of the MN as the digital equivalent of physical marketing displays, like endcaps, tent pole events and shelf tags. Ads appear on owned channels—such as the MN operator’s websites, apps, in-store kiosks and check-out terminals—as well as paid channels, like Meta. A major retailer Publicis Sapient worked with earns nearly half of its RMN revenues from paid channels. By one estimate, the retail media market will grow by 25 percent per year from 2022 to 2027 and reach $100 billion in 2027.
Where companies join data co-ops to expand reach and awareness, they advertise on MNs to drive incrementality—that is, actions that can be directly tied to the ad through empirical measurements. MN advertising is most valuable for suppliers looking to boost sales through a specific partner: the company that operates the MN.
A media network is a company-owned advertising platform that uses the company’s privacy-protected first-party data (and sometimes second- and third-party data) to target advertisers’ likely customers and give them near real-time insights about campaign effectiveness. Picture a cosmetic brand aiming for incrementality at a cosmetics retailer, an insurer wanting to sell more policies through a particular automaker’s dealerships or an energy drink brand that wants to reactivate lapsed buyers at a specific convenience store chain. Only a MN operator, with its first-party data, can provide advertisers with closed-loop measurements such as “Customer 123 was exposed to Media B on April 30, and performed the desired conversion action on May 2.”
Suppliers looking for a general sales lift, in contrast, can often meet their goals at a lower cost by advertising on a demand-side platform (DSP) like Google Display & Video 360 (DV360) or Trade Desk.
What outcomes can companies expect from building and operating an MN? The main one is a new high-margin revenue stream. Organizations could maintain margins of 30 to 50 percent compared to typical 2 to 4 percent margins for the main retail business. Additional revenues flow in from successful supplier campaigns, which increase foot traffic and sales from the supplier’s product (like corn chips) as well as complementary products (such as guacamole and salsa). Finally, data from advertisers’ campaigns can be useful for fine-tuning an individual company’s media strategy. If a supplier sees good results from an ad placed on an extreme sports channel, so might the company.
Data co-ops and MNs are complementary. By building both, businesses position themselves to earn revenue from companies looking to expand their reach and awareness through data co-ops, as well as drive incrementality through MNs. While significantly more complicated and costly to build, MNs have the potential to bring in exponentially more revenue—20 times more for one major retailer. Where a company decides to start depends on its appetite for technology integration and change management, senior leadership’s commitment and cost considerations.
How organizations design and manage their offering will have an enduring impact on their competitive advantage, costs and lifetime revenues. The following are best practices for building a successful data co-op or MN, no matter the industry.
In addition, the following success factors are important to consider specifically for MNs:
A successful data co-op or MN requires the right technology and the right processes. While some companies may already have digital media teams with the necessary skills and scale, others may need to work with an experienced IT services provider that offers a build-operate-transfer service. With this arrangement, the partner sets up, optimizes and runs the media network for a set period of time while the company’s team learns, and then transfers over operations.
Reach out today to discover the transformative power of data co-ops or MNs and how Publicis Sapient supports businesses on every step of their journey. Start the conversation