Why In-Store Media Needs More Than Foot Traffic: The Rise of Predictive Retail Intelligence

Retailers and brands are pouring billions into in-store media—but most of that spend is still flying blind. While online media offers closed-loop attribution, A/B testing, and real-time optimization, in-store campaigns often rely on lagging sales reports and generalized shopper insights. The result? Missed opportunities, wasted spend, and a growing shift of brand budgets toward digital channels where ROI is easier to prove.

At Mediar we believe the future of in-store media isn’t just digital… it’s predictive.

The Problem: In-Store Media Without Measurement

Each year, brands spend more than $600 billion on in-store marketing, from endcaps and signage to digital screens and product displays. But without visibility into what actually drives conversion, CPGs default to measuring lift post-campaign, or worse, not at all. That’s why so much retail media investment ends up being guesswork.

Traditional tools like sensors and traffic counters only show how many people walked by. They don’t answer the real questions:

• Did the shopper actually see the media?
• Did they engage with the product or display?
• Did it influence their purchase?

The Mediar Difference: Predictive Intelligence for Physical Retail

Mediar delivers closed-loop attribution for in-store media—just like digital. Using advanced computer vision, machine learning, and statistical modeling, our platform turns existing CCTV infrastructure into a powerful behavioral analytics engine. This enables brands and retailers to see not just what happened—but what’s likely to happen next, and how to act on it.

Here’s how we’re different:

Visual Attribution

We track real shopper exposure to in-store media—whether it’s a display, a sign, or a digital screen. Not just impressions or movement, but confirmed visibility based on head orientation, distance, and dwell time.

Anonymous Journey Mapping

We map aggregated, privacy-safe shopper paths from the moment they enter the store to the moment they check out. No facial recognition. No PII. Just real behavioral flow—compliant with GDPR, LGPD, and CCPA.

Sales Connection

We link in-store engagement directly to POS data—so brands know what media touchpoints actually drove a purchase. This is true closed-loop attribution, not just footfall analytics.

Predictive Optimization

With our MediarIGNITEr™ suite, brands can:

• Use BOOSTr™ to identify the highest-converting formats and placements
• Use IMPACTr™ to measure lift and behavior during campaigns
• Use PROPELr™ to forecast performance before launch

This enables test-and-learn loops, media planning precision, and continuous ROI improvement.

Insights in Action: The ShopperLab Dashboard

All of this data comes to life in ShopperLab, our interactive analytics platform. Brands and retailers can visualize real-time heatmaps, conversion funnels, time-based comparisons, and layout performance—across locations, formats, and time periods.

It’s not just about collecting data—it’s about turning it into decisions.

Why It Matters Now

Retail media is projected to hit $45B+ globally by 2026, and the in-store channel is next in line for transformation. The challenge? Brands are demanding the same accountability they get from Google, Meta, and Amazon.

Mediar helps retailers and brands meet that demand—by making in-store media measurable, optimizable, and predictive.

We don’t just tell you what worked. We help you predict what will.