Digital-In-Store Traffic & Conversion: Measure Offline Impact

Online ads capture clicks, but real revenue often happens in physical stores. To close that gap, brands must embrace Digital-In-Store measurement: tracking foot traffic and linking it to in-store conversions. As highlighted by Think with Google, combining local search marketing with in-store analytics drives measurable lift. In this post, I share four practical steps to capture offline impact and optimize retail media campaigns.


1. Define Your Offline KPIs

Start by choosing the right metrics:

  • Foot Traffic: Total store visits during your campaign window.
  • In-Store Conversion Rate: Percentage of visitors who make a purchase.
  • Sales Lift: Incremental revenue compared to a control group.

These should align with your digital KPIs (like iGRP and incremental ROAS) to provide a unified view of performance.


2. Leverage Measurement Technologies

  • In-Store DOOH Analytics: Use digital screens equipped with sensors or cameras to estimate impressions and engagements.
  • Mobile Location Data: Collaborate with providers such as Google’s Store Visit Conversions or third-party footfall analytics platforms.
  • Point-of-Sale Integration: Connect POS systems with ad-server logs to enable closed-loop reporting. I explain this further in Closed-Loop Reporting: Retail Media Campaign Follow-Up.

“Place Exchange built PerView in response to buyers and sellers needing a solution for dynamic reach, frequency, and impression measurement applicable across the entire OOH category.”
—Ari Buchalter, CEO at Place Exchange (source)


3. Implement a Simple Geo-Holdout Test

Set up a control region where ads are paused and a test region where ads are live:

  • Compare foot traffic and sales.
  • Measure incremental lift beyond last-click attribution.
  • Rotate regions to account for seasonality and local market effects.

I cover a use case in Programmatic In-Housing.


4. Build a Cross-Channel Dashboard

Combine data across formats:

  • iGRP / Reach: To monitor digital campaign awareness.
  • Foot Traffic: From in-store analytics systems.
  • Incremental ROAS: From closed-loop transaction data.

Use tools like Google Data Studio or Tableau for real-time, multi-source dashboards. More insights in Retail Media Advertising Mix. See also the Retail Media Guide 2024 by IAB Europe.


Visual Summary

Here’s a quick view of the 4 core steps:

A visual framework to track and optimize offline performance from retail media

Example in Action

During a summer campaign, one brand:

  • Activated Sponsored Products on Amazon.
  • Used local inventory ads to drive store visits.
  • Measured in-store traffic with Google Store Visit Conversions.

The outcome: +28% uplift in store sales in the geo-tested region, leading to a 15% budget increase for in-store DOOH media.


Emerging Technologies in Digital In-Store

The in-store landscape continues to evolve with innovation:

  • Augmented Reality (AR): Smart mirrors enable virtual product try-ons, enhancing customer engagement (e.g. Nike, Tommy Hilfiger).
  • Digital Shelf Labels: Walmart plans to roll these out in 2,300 stores by 2026 for dynamic pricing and hyper-local promotions.
  • AI-Driven Heat Mapping: Using models like YOLOv8 with ByteTrack to map consumer behavior across store aisles.

Conclusion

Digital-In-Store measurement transforms offline visits into actionable insights, closing the loop between ads and physical purchases. This is post #13 in my Retail Media Mastery series. Stay tuned for #14, where I’ll explore visibility metrics like share of search and share of shelf.

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