Case Study

A Major US Supermarket Chain Drives Data-driven Marketing, Personalizes Customer Engagement Across Touchpoints

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+100%

Digital Account Growth

+3%

Revenue

4X

Increase in Mobile App Usage

Client Overview
The company, established in 1936, is among the largest privately-owned retail chains in New England. The grocer is listed in Forbes Top 500 Private Companies. In addition to grocery, the company covers pharmacy, prepared foods, and fresh foods

The Challenge

The company was experiencing poor customer engagement and low conversions from their marketing campaigns due to the lack of insights-driven personalized, omnichannel marketing. They aimed to:

  • Create a unified view of customers across online and offline channels
  • Create granular customer segments and gain a deeper understanding of customer journeys
  • Drive personalized marketing — curated to each customer’s preferences, transactional behavior, lifecycle stage, and promotional activity — across touchpoints

Product Used

Algonomy Personalization Suite:

“Our partnership with Algonomy, and use of their customer analytics solution to power our digital engagement and personalization platform, has helped us deliver the kind of contextualized digital experiences and interactions that consumers are expecting from their brands of choice. And most importantly, we’re seeing these efforts translate into incremental sales and profits for our retail clients. At the end of the day, that’s what it’s all about.”
- Randy Crimmins, Chief Strategy Officer at Relationshop (Algonomy channel partner for grocery clients in the US)

Top Brands Trust Algonomy

pricechopper
United Supermarkets
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robinsonssupermarket
logo-carrefour

Unify Your Customer Data to Drive Personalized Multichannel Marketing and Customer Engagement

Real-time Customer Profiles

Use Algonomy CDP to capture behavioral data in real-time for both known and anonymous customers. Create dynamic segments for activation at scale.

Predictive Customer Analytics

Leverage actionable algorithms to create granular micro-segments. Perform look-alike and propensity analyses to drive next-best actions, and measure response with campaign and journey analytics.

Omnichannel Marketing Campaigns

Leverage machine learning algorithms, advanced analytics, and micro-segmentation tools to automatically orchestrate, test, and optimize personalized campaigns across the entire customer journey.

Personalized Customer Engagement

Leverage data to send the right promotions and content to shoppers, at an individual level. Auto-optimize and eliminate tedious manual A/B tests.

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