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Challenge
ETİ aimed to regain market share in selected supermarket chains where brand performance was under-indexing. The objective was not only to increase visibility, but to:
- Identify supermarket shoppers who were not choosing ETİ
- Understand their actual product consumption behavior
- Re-engage them with personalized messaging
- Prove measurable impact on both brand preference and store traffic
The campaign needed to connect audience intelligence, creative personalization, and physical retail performance within a single measurable framework
Strategy & Approach
Black [C] designed a multi-layered activation powered by:
- Polygonal geo-fencing around 15+ supermarket chains
- AI-supported behavioral surveys to profile real shoppers
- Identification of “Non-ETİ” consumers
- Micro-segmentation by product category (Cake, Biscuit, Chocolate, Other)
- Dynamic creative delivery aligned to individual consumption patterns
- Final redirection to Migros stores for measurable footfall tracking
The campaign integrated Azira’s location intelligence and LoopMe Purchaseloop behavioral modeling to ensure precise targeting and measurable incrementality
Solution & Activation
Users who did not prefer ETİ were segmented based on their consumption habits and served customized creative sets aligned with their preferred product categories.
Execution Highlights:
- 4.1M+ video views
- 3.15M video completions
- 75% VCR
- 65,760 clicks
- 1.5% CTR (after segment-based creative optimization)
Segment-driven personalization significantly improved engagement and performance efficiency.

Brand Lift Results (LoopMe BLS)
The campaign delivered measurable brand impact:
- Purchase Intent Uplift: +3.2%
- Control: 46.7%
- Exposed: 48.2%
- 7.8K affected users
- Control Group Quality: 99/100
Results clearly demonstrated that the campaign did not only generate awareness — it increased ETİ’s purchase preference among supermarket shoppers
Footfall & Sales Impact
Location-based measurement revealed strong offline impact:
- +120% Visit Lift
- 6,750 Incremental Visits
- 4.6M Measured Impressions
- 1.31% Footfall Rate
Among exposed users, 13 out of every 1,000 visited a Migros location after ad exposure, effectively doubling the likelihood of store visitation
Key Learnings
- Supermarket chain–level data is the most powerful conversion lever.
- Product-category micro-segmentation significantly increases uplift.
- Personalized creatives that “reflect the consumer” drive stronger CTR and behavioral response.
- Brand recovery campaigns can generate measurable retail impact when paired with location attribution.
- Store redirection mechanics directly influence sales behavior, not just awareness.
This campaign demonstrates Black [C]’s capability in:
- Advanced data integration (Azira)
- Behavioral AI modeling (LoopMe Purchaseloop)
- Segment-based creative optimization
- Multi-metric measurement (Brand Lift + Footfall)
In underperforming supermarket chains, we:
- Increased purchase intent (+3.2%)
- Doubled store visitation likelihood (+120%)
- Generated scalable, segment-driven growth
This was not a visibility campaign.
It was a data-powered retail transformation project.
