Food Retailer Rings up Higher Margins & Increases Store Traffic with Personalized Promotions
Company Size
1,000+
Region
- America
Country
- Canada
Product
- Antuit’s Targeting Engine
- Antuit’s Personalization Solution
Tech Stack
- Machine Learning
- AI
- Behavioral Analytics
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Productivity Improvements
- Revenue Growth
Technology Category
- Analytics & Modeling - Machine Learning
- Analytics & Modeling - Predictive Analytics
- Functional Applications - Enterprise Resource Planning Systems (ERP)
Applicable Industries
- E-Commerce
- Retail
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Predictive Replenishment
Services
- Data Science Services
- System Integration
About The Customer
The customer is one of the largest food retailers in Canada, operating a vast network of grocery stores across the country. The retailer has a significant presence in the market and is known for its wide range of products and services. Despite its prominence, the retailer faced challenges in its direct marketing efforts, with response rates falling short of expectations. The company was keen on finding innovative solutions to enhance shopper loyalty, increase store traffic, and improve profit margins. By leveraging advanced analytics and personalized marketing strategies, the retailer aimed to better engage its customer base and drive incremental revenue.
The Challenge
One of the largest food retailers in Canada was experiencing weak response rates from its direct marketing efforts. Consequently, the retailer was looking for a more effective and efficient approach for developing promotions that improved shopper loyalty, increased store traffic, and improved margins. The retailer's leadership team sought a solution that could align promotional offers with specific shopper segments, integrating behavioral analytics and other purchasing variables into their promotional strategies.
The Solution
Antuit collaborated with the retailer to develop and implement a personalization solution that aligned promotional offers with specific shopper segments. The solution integrated behavioral analytics and other purchasing variables into the retailer’s promotional strategies. Key features of the personalization solution included targeting strategies, coupon restrictions, foundational analytics, predictive response models, personalized offers, process automation, support for continuity programs, optimized coupon allocations, and themes & personalized content. The intuitive user interface allowed for easy adjustments to budget parameters, transactional data updates, new shopper targeting, and revised business priorities and constraints. Antuit’s personalization solution scored promotional offers based on targeted shopper segments and offer relevancy. Offers were filtered to prevent cannibalization of private label products and to avoid similar offers from competing manufacturers. The solution also considered budgetary parameters for each offer and communication vehicle constraints, ensuring that all available incentives were applied across the portfolio of promoted products. Digital distribution was used to deliver personalized offers, ensuring the right value-based message reached the right shopper at the right time.
Operational Impact
Quantitative Benefit
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