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MediaMarkt Black Friday Case Study | 33% Store Visit Lift with Footfall Measurement

How MediaMarkt increased store visits by 27–33% during Black Friday through mobile-first targeting, video performance, and deterministic footfall attribution.

MediaMarkt Black Friday: Driving 33% Store Visit Lift with Deterministic Footfall Measurement

Campaign Overview

During the highly competitive Black Friday period (11–30 November), MediaMarkt partnered with Black C Media to transform digital engagement into measurable physical store visits across Turkey.

The campaign was designed not only to generate reach and engagement, but to prove real-world impact through deterministic footfall measurement and control vs. exposed analysis.

Objectives

The core objective was to convert mobile digital touchpoints into physical store traffic during peak discount competition.

The campaign aimed to:

  • Achieve high reach and visibility during Black Friday
  • Capture high-intent mobile users near MediaMarkt locations
  • Drive online-to-offline conversion
  • Prove measurable store visit uplift through footfall attribution
  • Evaluate performance beyond online KPIs

Targeting Strategy

The campaign was structured around all MediaMarkt physical store locations in Turkey.

Targeting included:

  • Geolocation-based targeting using store coordinates
  • Mobile proximity targeting near store locations
  • Users with high in-store shopping propensity during Black Friday
  • Deterministic footfall measurement tied directly to store locations

This allowed direct measurement of Online Exposure → Offline Visit impact.

Online Performance

Display Performance

  • Impressions: 2,142,863
  • Clicks: 5,782
  • CTR: 0.27% (above retail benchmark of 0.22%)

The banner format delivered consistent visibility and stable engagement throughout the campaign period.

Video Performance

Video emerged as the strongest performing channel:

  • Impressions: 991,643
  • Clicks: 48,287
  • CTR: 4.87%
  • Video Completion Rate (VCR): 94.21%

The VCR significantly exceeded the 70% benchmark, demonstrating strong creative resonance and message consumption.

Footfall & Attribution Results

The campaign delivered a measurable and statistically validated store visit uplift.

Video Attribution Results

  • Attribution Lift Index: 32.97%
  • Exposed Footfall Rate: 1.359%
  • Control Footfall Rate: 1.022%
  • Total Attributed Store Visits: 3,612

Users exposed to the campaign visited stores 32% more than the control group.

Display Attribution Results

  • Attribution Lift Index: 27.70%
  • Exposed Footfall Rate: 0.461%
  • Control Footfall Rate: 0.361%
  • Total Attributed Store Visits: 3,218

Both formats demonstrated incremental lift between 27–33%.

Overall uplift during campaign period:

+32.9% lift (Exposed vs Control)

+6,830 incremental store visits

Behavioral Insights

  • A significant portion of exposed users visited stores within the first 72 hours.
  • Weekday and specific time-slot concentration indicated timing sensitivity.
  • The 36–45 age segment and professional audiences showed stronger store visitation behavior.
  • Video served as the primary driver of high-attention engagement leading to store visits.

Key Learnings

  • Video should remain the primary impact format given its high VCR and attribution lift.
  • Location-based budget optimization can further improve performance at city/store level.
  • Frequency and creative variations should be increased for high-performing demographic segments.
  • Media delivery should align with peak footfall timing patterns.

Conclusion

This campaign demonstrated that mobile-first targeting combined with deterministic footfall measurement can deliver measurable offline impact during peak retail periods.

Black C Media’s omnichannel architecture successfully increased MediaMarkt’s physical store visits by 27–33% compared to control groups.

More importantly, it proved that digital exposure, when scientifically measured, can directly influence real-world consumer behavior.

This is not a showcase. It’s a laboratory.

At Black C, every case study is more than a campaign recap — it is a controlled experiment where data science, technology, and real-world behavior converge.

We don’t plan media on assumptions, but on measurement.We don’t define audiences by proxies, but by verified signals.And we don’t measure success through vanity metrics, but through real business impact.

Each project is built on location intelligence, scaled with advanced technology, and validated by measurable physical-world outcomes.
Our mission is clear: move advertising beyond intuition and transform it into a measurable, accountable, and performance-driven discipline.
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