Executive Summary
The challenge:
To demonstrate that predictive Retail Media activations in-store can generate faster and more quantifiable sales results, capturing 35% of digital conversions and increasing sales by 2%.
The findings:
Snack purchases are goal-oriented and life-stage dependent. Shoppers behave differently when stocking up compared to shopping for special occasions.
The strategy:
Use in-store profiling, predictive analytics, and real-time measurement from Footprints AI to reach shoppers at the right time, before and during their shopping missions.
Strategy implementation:
Mobile ads sowed intent before store visits; digital screens and in-store radio dynamically reinforced offers based on life stage and purchase mission.
The results:
Sales volumes increased by 12%, ROAS increased 16 times, and 48% of digital conversions came from Retail Media, surpassing traditional digital channels.
Introduction: Predictive in-store retail media that delivers real results
In a market saturated with salty snacks, where traditional advertising struggled to stand out amidst the noise, Chio Chips chose a different path: Precision Retail Media in stores, powered by Footprints AI technology.
Footprints AI's platform profiled shoppers at scale, analyzing real-world behavior, life stages, and purchase missions, and proactively engaged them even before they arrived in store. Key mobile ad segments —young singles , DINKs (dual-income couples without children ), and families with children—were targeted for specific objectives, such as restocking and special occasions , driving purchase intent while at home or on the go.
Inside the stores, dynamic digital displays and audio announcements seamlessly continued the experience, delivering personalized messages at the moment purchase decisions were made.
Unlike traditional media, which wait months for results, Footprints AI connected media exposure with actual sales at the SKU level in real time, providing immediate insights, real-time optimization, and directly attributing the impact of AI investment.
This is the story of how Chio Chips, with a minimal part of the usual media investment, redefined the success of Retail Media, transforming every moment, every visit and every store into a high-performance sales engine.
The challenge: to close the gap between media and sales, in real time
In the highly competitive Romanian market for salty snacks, brands face a triple challenge: oversaturation in traditional media, declining consumer share, and a two-month lag in sales reporting through standard retail measurement tools.
Chio Chips, already a leader in its category, needed to find a competitive advantage. Traditional advertising could no longer offer real-time information or optimization applicable during campaigns. They faced a critical business challenge:
- How to generate an immediate and measurable impact on sales during the campaign, not afterwards.
- How to capture the consumer's attention exactly when and where purchasing decisions are made: in the store.
- How to attribute media investments directly to sales, SKU by SKU, store by store.
Recognizing that most snack purchases were still made in-store, but that traditional in-store promotions lacked personalization, Chio Chips decided to demonstrate what predictive media for retail media could achieve:
- Precise segmentation based on life stages and purchase objectives.
- Real-time measurement and immediate optimization.
- Direct and verifiable attribution of advertising to sales at the SKU level.
It wasn't about investing more, but about smart spending , moving from guesswork to action based on real data.
Business and marketing objectives
Business objective:
To achieve a minimum increase of 2% in sales volume during the campaign period, optimizing the efficiency of media spending.
Marketing Objective 1:
Capture at least 35% of all digital conversions through Retail Media channels (vs. traditional digital channels).
Marketing objective 2:
Increase in-store traffic and drive purchasing behavior across all life stages and specific missions, without artificially increasing total traffic.
Objective of the activity (campaign):
To directly demonstrate the attribution of media to sales at the SKU level in in-store displays, in-store radios, retailer applications, and mobile advertising.
Why was it important?
For Chio Chips, the stakes were high. Success would not only improve quarterly sales, but also demonstrate that real-time predictive segmentation, in-store profiling, and media attribution to sales could outperform traditional models, setting a new benchmark in the industry.
This would transform Retail Media from something "desirable" into one of the main drivers of profitable growth.
Perspectives and strategy
Understanding the AI Buyer: Life stages and buying missions drive behavior
Footprints AI's in-store analysis revealed a fundamental truth: snack buying behavior is not primarily about demographics, but about life stages and buying goals .
Using anonymous data on mobility, Wi-Fi tracking, transactions, and behavior, Footprints AI created real-time profiles of Chio's customer base, identifying:
Main life stages of Chio Chips buyers:
- Young singles : impulsive last-minute purchases, often shopping alone late in the evening after work.
- DINKs (double income, no kids) - people who seek premium products, shop together on Saturday mornings, and look for high-quality treats to relax on the weekend.
- Families with children : weekend planners, who do bulk shopping with AI on Friday nights or Saturday mornings to prepare to spend time as a family.
Main snack purchasing missions:
- Replenishment:
Purchases to replenish stock through regular purchases. Example:
A young single man chooses his favorite snack brands on a quick shopping trip Thursday night.
- Special occasions:
Buying snacks for parties and events. Example:
A family with children buying several packages on Friday to prepare for a birthday party or a weekend gathering.
The following behavioral patterns have been observed :
- Replenishment purchases peaked during Thursday and Friday evenings.
- Special occasion shopping increased on Friday nights and Saturday mornings before noon.
- Life stages determined the urgency, the size of the shopping basket, and the selection of premium products.
This segmentation provided the model for accurate predictive segmentation, based not on assumptions, but on actual behavior observed in thousands of purchases.
The key idea: predict the why, not just the who.
The main idea that drove the campaign was simple, but transformative:
"Understanding why people buy today is more powerful than knowing who they are."
Instead of general demographic data, the predictive model focused on the emotional and functional needs linked to each purchase mission:
- Replenishment shoppers were looking for efficiency, trusted brands, and their favorite everyday products; for example, quick reminders to restock.
- Special occasion shoppers were looking for excitement, premium packaging, and bundle deals; for example, messages like "Party Ready?" linked to large multipacks.
Examples of behavior-based insights:
- Targeting young singles on Thursday nights with mobile ads promoting "Snack & Chill" packages, increasing the value of the small outing.
- Aimed at couples without children (DINKs) on Friday mornings with Chio offers to enjoy during relaxing weekends.
- Target families with children with in-app promotions about "weekend stocking up" deals on Friday afternoons.
These tangible segmentation insights helped transform generic snack purchases into targeted activations specific to each life stage .
Strategic structure: predict, segment, measure, optimize, without complications
With Footprints AI, Chio's Retail Media strategy was designed as a closed-loop performance system :
- Predict:
Identify future buyers based on life stage, purchase mission, and propensity models; for example, identify DINKs with a high probability of buying snacks on Saturday morning.
- Note:
Main intention before buying through mobile ads:
- Young singles received snack promotions on the retailer's mobile app on Thursdays.
- Families with children received AI-powered wholesale purchase offers in the app for weekend shopping.
- In-store activation:
Offer dynamic ads on digital screens and in-store radio:
- Promote "Chio Deals" in the snack and complementary shopping aisles during special occasion peak hours (Friday, 5:00 PM to 8:00 PM; Saturday, 10:00 AM to 12:00 PM).
- Measure:
Track audience exposure, purchase journeys, and sales growth at the SKU level by life stage and mission type, in each store.
- Optimize:
Modify media weighting mid-campaign:
- Greater investment in DINKs between 30 and 40 years old , where the highest ROI was observed midway through.
The result was a genuine predictive mechanism for Retail Media : moving from massive assumptions to the impact of accuracy at every stage of the buyer's journey.
Bringing the strategy and the idea to life
Predictive omnichannel activation: preparing and converting buyers
Footprints AI orchestrated a complete shopping journey for Chio Chips, using predictive data models to intercept shoppers at the right time, through the right touchpoints.
Before the store visit: mobile preparation:
- Young singles received ads on the app on Thursday nights with snack offers and messages like "Ready for a movie night?"
- It targeted childless couples (DINKs) through retail media apps and direct communications (such as WhatsApp, email banners, and SMS) on Friday mornings with snack offers, aligned with their Saturday shopping. [SEG 16] Families with children
- They received offers through direct communications and in the app on Fridays after 4:00 pm, reminding them to purchase multipacks for the weekend. In-store - Dynamic in-store activation:
Digital screens
- : In the snack aisles, dynamic content personalized according to the time, day and mission type (for example, "Celebrate big this weekend with the Chio Party offer" on Saturday mornings).
- In-store radio : messages reinforced during peak hours to activate brand recall and encourage impulse purchases.
- Screens in shopping malls : Wider brand touchpoints on weekends, linking the Chio brand to moments of entertainment and group fun.
Real-time data flows:
- Real-time traffic tracking, monitoring of SKU sales increases, and dynamic reassignment of display inventory based on the busiest areas within stores.
"Footprints AI has orchestrated a perfect shopping journey: stimulating intent before the visit, engaging shoppers at key moments within the store, and optimizing results in real time based on actual sales data."
Dynamic creative optimization: messages aligned with life stage and mission
The creative assets were modular, flexible, and dynamically deployed depending on the life stage and mission triggers:
Examples of messages:
- Replenishment mission (young singles):
"Your weekend snack shopping just got easier. Get Chio now!"
- Mission for special occasions (families with children):
"Big packages. Big parties. Even bigger smiles. Stock up on Chio!"
- Premium relaxation (DINKs):
"Enjoy your weekend vibe. Discover the flavors of Chio."
Each piece of creative content has been optimized for:
- Combine the emotional tone of the mission (fun, comfort, pleasure).
- Activate visual stimuli aligned with the public's mindset.
The channel strategy: precision over scale
Instead of spreading a small advertising investment across broad channels, the campaign focused on channel precision :
Mid-campaign optimization was a key factor:
- When SKU-level data showed higher conversion rates between DINK and premium SKUs, the creative distribution was modified to favor premium positioning.
- Low-performing channels received reduced inventory in favor of high-performing stores and time slots.
Through dynamic channel orchestration, Chio Chips achieved precise delivery without increasing the media budget, demonstrating that smarter approaches yield better results in Retail Media.
Results
Clear impact on the business: sales growth, conversion share, and a superior ROI
The predictive, store-oriented Retail Media approach delivered measurable and exceptional business results for Chio Chips:
Main observations:
- The stores participating in the campaign saw a 12% increase in sales volume , while the control stores only grew by 9%.
- Nearly half of all digital conversions came from Retail Media activations, surpassing YouTube, Facebook and influencer marketing.
- Real-time SKU tracking allowed for budget adjustments during the campaign, maximizing profitability without increasing total spending.
How the results were achieved
The results were not accidental. They were the direct result of:
- A precise Shopper profile (life stages, goals) instead of general demographic data.
- Predictive preparation using mobile ads before store visits.
- Dynamic real-time interaction in the store with screens and audio based on actual pedestrian traffic and mission timing.
- Continuous optimization : redirecting resources in the middle of a campaign to expand high-performing segments, such as DINKs between 30 and 40 years old.
This was the first time in the Romanian snack category that every media impression was linked to real-time, in-store sales with SKU accuracy, providing unparalleled visibility into the effectiveness of Retail Media.
Why is it important?
This campaign demonstrated that in-store Retail Media, powered by predictive data and real-time optimization , is not just an experimental channel, but a direct growth engine for consumer packaged goods (CPG) brands.
For Chio Chips:
- Every media investment became a sales driver.
- Every point of contact with the Shopper was significant.
- Every decision was based on real-time performance data.
And for brands seeking immediate and measurable growth:
Footprints AI provides the platform to make this happen: seamlessly, predictively, and cost-effectively.
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