With complex sales executions running at the same time across different stores and fascias, for different SKUs and time periods, it’s important to isolate and evaluate each event and/or combination of events.
An event could be a field force intervention, retail media activity, secondary space or price promotion for a category, brand or SKU in a store for a day, multiple days or weeks.
We create a series of A/B statistical inference time series models to measure the incremental sales impact of each combination of events against a control group of stores that have no events.
- For a continuous cycle of learning, we robustly measure the impact of all changes stemming from your strategic decisions.
- We collect and analyse data from multiple 1st and 3rd party sources.
- We quantify the incremental sales uplift of all activity stores (test stores) when we can compare performance to a robust control group (no change).