Retail Media is all about leveraging the advertising space owned and controlled by retailers to promote products and brands. This can encompass a wide range of channels, both online and offline, all with the goal of reaching consumers at key points in their shopping journey.

Generate an incremental high margin revenue stream

Increased Customer Engagement:

• RMNs can be used to personalize the shopping experience for customers by displaying targeted ads and promotions based on their browsing behavior and purchase history. This can lead to increased engagement, customer satisfaction, and loyalty.

Enhanced Data Insights:

• RMNs provide retailers with valuable data insights about their customers, such as their demographics, interests, and shopping habits. This data can be used to improve product selection, pricing, promotions, and other aspects of the retail business.

• Increased brand awareness and visibility
• Improved reach and targeting
• Enhanced measurement and attribution
• Stronger return on investment (ROI)
• Valuable first-party data insights

Unstandardized product categorization: Product catalog variations by each retailer’s data is impacting advertisers’ ability to choose right product

• Gaps in Identity: Missing pieces of information from a customer profile, severely impedes ability to personalize it
• Partially analyzed data: Limited to analyzing few dataset (For example, web behavior or demographics data) not equipped for purchase-based customer data analytics which is gold standard for your advertisers
• Concerns on measurement: Brand advertisers lack trust & doubt credibility in retailers measuring performance on owned platform
• Data Governance: Difficulties in navigating ever changing government laws on how data can be used
• Manual & resource intensive: Existing ways of collaborating with brand advertisers is non scalable and costly which undermines the value of their ad inventory

• Aggregated data from various retailers: Enables a comprehensive view of the retail landscape, which can be invaluable for advertisers who are trying to reach a wider audience. Additionally provides privacy to retailers who want to generate revenue but want to avoid exposure to their data, Xylic data offer anonymization through aggregation if desired.
• Industry-acknowledged product standardization: This makes it easy for retailers and advertisers to compare data and track performance uniformly across the participating retailers
• Unique expertise on retail data ML Ops: We provide retailers and advertisers with the actionable insights they need to make informed decisions about their marketing campaigns based on their action vs intent. Currently Intent based advertising is the norm in advertising. However, our proprietary purchase data analytics offers a unique perspective on target segments, making personalization beneficial to Data Principal and Retailers.
• Ability to calculate the impact of a marketing campaign and attribute it to sales: This is a critical capability that many platforms lack. It allows retailers and advertisers to see how their marketing campaigns are actually driving sales, which is essential for measuring ROI.
• Self-Serve NLP supported Ad platform: We offer these unique aggregated shopper insights and ability to launch ad campaigns on participating retailer platforms in a self-serve intuitive platform designed for advertisers’ convenience.