Data Science, Analytics & Solutions
This supermarket was opening their doors on average 65 hours less a month than their competitors. They knew there was a significant opportunity to extend their hours. However the business needed to understand this better if they were going to vote in favour of extra hours.
What we did
Using payments network data, we looked at customer supermarket behaviour by time and day of transaction. We then identified where customers shop outside of normal opening hours and how much they spend. This project was tested on 11 stores with 1 month’s worth of transactions
Fact based evidence immediately secured 100% approval from all business divisions and enabled the business to tailor opening times by locations to suit local patterns and drove 5% incremental sales. Opening hours were not only extended, but flexed to meet local market conditions