Audience Monetization
Capturing and analyzing offline sales data is essential for understanding consumer behavior, measuring the effectiveness of marketing efforts, and optimizing business strategies. With nearly 90% of grocery sales still occurring in stores, offline data can provide a holistic view of the shopper’s journey.
Additionally, closed-loop reporting gives the ability to determine the impact of marketing on both in-store and online transactions providing a more holistic view of how media impacts sales. The omnichannel opportunity in retail media encompasses a strategy that engages customers throughout their entire journey across various channels, both online and offline.
Benefits of Audience Monetization
Capture incremental media budget: Secure additional media spending from brands and agencies at scale across one platform.
Privacy and control: Ensure data is privacy-compliant while maintaining full control over the data and decide who has access to your data and inventory and at what price.
Streamlined data integration: Easily onboard and connect first-party data leveraging Criteo Onetag integration or onboarded through a mutual CDP partner.
Elevate user experience: Creating a significant audience impact by enhancing user experiences with relevant messaging both onsite and offsite.
Maximize Inventory on Onsite Display: You can leverage audiences to improve fill rates by expanding sales beyond pre-empted categories and (new or existing) placements, enhancing cross-selling opportunities.
Secure Additional Revenue Opportunities: By making it easier for advertisers to effectively use your audiences, you are empowered to secure additional revenue opportunities while maintaining full control over their data.
Monetizing First-Party Data
Monetizing first-party data can drive additional revenue by enhancing your retail media strategy. This approach creates new revenue streams and monetization opportunities through your audience insights.
Online data - Based on user behaviors and activities such as purchases and interactions with specific categories, brands, and price ranges.
Offline data - Derived from contact information through email lists, user identifier lists, and CDP.