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HomeOur WorkCase StudiesHow can we fine-tune our product placements in stores to drive sales?

How can we fine-tune our product placements in stores to drive sales?


The client identified an uplift of 5.6 percent by placing certain products adjacent to each other

 

Client

Second largest supermarket chain in the UK

Business Challenge

The client wanted to maximize the advantage on the space provided to the laundry category in its stores. This meant understanding the impact on overall sales per bay by keeping different laundry formats adjacent to each other. 

Solution

The client and Fractal Analytics identified the stores where the adjacent products were present, and calculated the uplifts by comparing the average sales of stores where a particular adjacency existed and where it did not exist. The solution used significance testing to determine the confidence in results of the calculations. The client then calculated the final uplift of a test layout by taking a weighted average of all the individual uplifts.

Benefits

The client identified an uplift of 5.6 percent by placing certain formats adjacent to each other. They determined that all laundry formats should be kept in the same bay as the overall sales per bay went up by 29 percent.