Mastering Offline Attribution
Connecting Digital Ads To In-Store Sales Cuts Visit Costs by 30%+
Case Study
The Challenges
- Siloed online and in-store customer data
- Inability to measure offline store revenue
- Inefficient, last-click marketing models
The Solutions
- Automated offline POS and CRM data pipeline
- Omnichannel targeting with Meta and TTD APIs
- Closed-loop attribution for store visits
Key Insights
Connecting offline POS and CRM data with digital ad networks proved that top-of-funnel channels like CTV drive significantly more in-store revenue than last-click attribution suggests. Product-level segmentation proved critical; tailoring lookalikes and messaging by specific category drastically lowered foot-traffic costs. Automated buyer suppression eliminated wasted spend, confirming that real-time offline feedback loops are essential for optimizing high-ticket retail media strategies.
The Results
Cut average cost per store visit by over 30%
Boosted total by nearly 30%
Lookalike ads dropped visit costs by over 50%
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