What if I told you that every store is similar?
A bit of controversial statement: every store is the same!
We still get regularly the question about having in-store analytics deployed in a few stores to then derive conclusions at scale. How can it be when every store is different?
After 10 years of measuring shopper behavior in-store, we’ve discovered that many of the metrics we measure (for a certain category) are actually quite similar from one store to another : dwell time, stopping rate, conversion. They’re all pretty stable for a given category between different stores and that’s why in-store analytics is so powerful. You can learn a lot from just a few stores and then derive general merchandising rules to be deployed across your store estate.
In this whitepaper, we’re sharing multiple examples of similarties between stores.
Let me know what you think!