Track how shoppers switch between offers on a daily basis and measure the revenue streams they generate
What we do
Accuris provides revenue optimisation services and consulting. We have been using machine learning - mainly Bayesian statistics - since the early 2000s. We use all your available data to detect how shoppers switch between brands, stores and segments. Our Source of Business® model explains revenue streams generated for each promo and media campaign and for new product introductions and assortment changes.
Why it matters
Revenue indicators based on gross rather than net impact will lead to sub-optimal or even wrong decisions. Net effects strip out back-and-forth switching and other false positives. Promotions, price increases and new listings can lead to strong revenue increases in gross terms, but net results may be much lower or negative, thereby misleading decision making.
What other agencies do
Data providers and consulting agencies do not integrate all required data sources to get the full picture of how shoppers behave. They tend to use static methods or once-a-year regression approaches to explain market dynamics. This was perhaps sufficient a decade ago but is not enough for modern markets and categories where shoppers switch between offers on a daily basis.