Case Studies Food Retailer Rings up Higher Margins & Increases Store Traffic with Personalized Promotions

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	Food Retailer Rings up Higher Margins & Increases Store Traffic with Personalized Promotions

Food Retailer Rings up Higher Margins & Increases Store Traffic with Personalized Promotions

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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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.

About 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.

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.

Impact #1	Antuit’s personalization solution improved redemption rates by as much as 400%.
Impact #2	The retailer generated $20 million (USD) in incremental revenue.
Impact #3	The solution enabled the retailer to align spending with specific basket types and time frames.

Impact #1

Antuit’s personalization solution improved redemption rates by as much as 400%.

Impact #2

The retailer generated $20 million (USD) in incremental revenue.

Impact #3

The solution enabled the retailer to align spending with specific basket types and time frames.

Benefit #1	Redemption rates improved by as much as 400%.
Benefit #2	Generated $20 million (USD) in incremental revenue.

Benefit #1

Redemption rates improved by as much as 400%.

Benefit #2

Generated $20 million (USD) in incremental revenue.

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Overview

Food Retailer Rings up Higher Margins & Increases Store Traffic with Personalized Promotions

Operational Impact

Quantitative Benefit