By partnering with Retail Insight, a global grocery retailer was able to more accurately identify the key drivers of store performance.

Precise attribute modeling uncovers 6.8% of incremental sales 


About the project

A global grocery retailer partnered with Retail Insight to get a better understanding of the major drivers behind its financial performance. 

Discover how we helped them use the power of precise attribute modeling to uncover key insight and identify new sales opportunities. 

The solution




  • 6.8% increase in incremental sales

Range of individuals 

A global grocery retailer wanted its entire Merchandising function to be able to identify and understand the major drivers of financial performance.

Many decisions were based on individuals’ knowledge and experience, but without any consistent process, measures or accountability to understand when, and more importantly why, variance from the plan occurred.


Readily integrated 

We partnered with internal Analytics, Merchandising and Finance teams, to define and prove a hypothesis; that using available internal and external data, it was possible to accurately identify, isolate and quantify the key drivers of monthly store sales performance.

Our structured approach considered four key stages:

  • Framing the challenge to clarify users’ key needs
  • Creating the building blocks by creating a living database of over a thousand potential modeling attributes
  • Developing a reusable and scalable capability by training our Performance Engine to model monthly category store sales and isolate the primary drivers 
  • Validating the opportunity by demonstrating a highly predictive model which explained 86% of the sales variation, without using any historic sales input

Realistic incentives 

Clear diagnostic scorecards prioritized the tactical actions for Merchandising and Stores to focus on, categorized by those which each party had control over, at the same time democratizing this insight to provide a single consistent view of the facts, from head office to stores.

Strategically, the ability to more accurately predict category performance provided insightful support to the annual budget setting process, ensuring that
achievable targets were set across the business and identifying an incremental 6.8%pts of sales opportunity to achieve.

We uncovered 6.8% of incremental sales



  • Together, the retailer and Retail Insight identified 6.8% of incremental sales opportunities.

  • Highly predictive model explains 86% of sales variation without needing any historic sales input.

  • Clear diagnostic scorecards help teams prioritize tactical actions.

  • The retailer can now set achievable targets across the entire business.

Discover where you’re losing sales

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