In under 3 minutes, estimate how much revenue a store could capture with small operational execution improvements.
This isn't Kepler's opinion. McKinsey estimates poor retail execution can cost up to 20% of potential sales. This calculator applies only a conservative fraction of that ceiling, never the theoretical maximum.
McKinsey estimates that poor retail execution — stockouts, late replenishment, inconsistent promo execution — can cost up to 20% of a store's potential sales.
Up to a quarter of products can be out of stock on the shelf at any given time. Every stockout is a sale that doesn't happen, even when the customer was ready to buy.
Brands that integrate their field execution tools well (tracking, operational discipline) generate up to 5% more revenue per store than competitors.
Four steps, all visible.
Traffic × ~25% conversion × average basket. 25% is a reasonable midpoint between typical in-store conversion benchmarks (apparel 15-25%, grocery/convenience 40-60%). We don't assume every visitor buys.
McKinsey estimates poor execution can cost up to 20% of potential sales. It's a maximum, not an average: it represents the documented worst case, not what automatically happens to any given store.
Between 1% and 8% of estimated sales, depending on your operational execution level: a store with a clear daily ritual is already close to capturing its full potential (low factor); a store without a consistent system has more room to improve (higher factor), but never the theoretical 20% maximum.
25% of the estimated annual impact — the same conservative criterion we use across all Kepler calculators, so as not to oversell what can be achieved quickly.
It's a conservative fraction of a 20% ceiling McKinsey attributes to poor retail execution (stockouts, late replenishment, inconsistent promo execution). Depending on your operational discipline level, we apply between 1% and 8% of that ceiling — never the theoretical maximum, to keep the estimate conservative.
Because not every store visitor buys. 25% is a reasonable midpoint across industry benchmarks (apparel 15-25%, grocery/convenience 40-60%, luxury 5-12%). Without this adjustment, the starting sales estimate would be several times higher than reality.
No. It's an order-of-magnitude estimate calculated with a transparent formula on the data you enter. It doesn't replace a real diagnosis of your store or guarantee any outcome.
No. All calculation happens in your browser; we don't send or store your traffic, average basket, or operational level on any server.
Yes. First calculate the impact for one representative store, then use the optional "if applied across similar stores" field on the results screen to scale it to the number of stores you manage.
We can structure an operational plan per store (rituals, time-slot focus, and tracking) without changing your current systems.
