Sector · Retail and multi-location chains
Find the stores losing sales, fix them, and prove which fixes paid.
Start with what customers say about each store. ActionBasis connects it to traffic, staffing, assortment and the competitors nearby, then ranks the changes that will move like-for-like sales and shows which ones did.
Usual entry: Customer experience and store reviews · What we look for first
- Stores that lose sales to queues and stock-outs
- Markets where a competitor is winning on service
- Spend that does not reach the stores that need it
How value is created.
- 01
Find the gaps
We compare reviews, traffic and local competitors to identify stores where queues, stock-outs or service may be limiting sales.
- 02
Refine scenarios
Each fix runs forward store by store, with the range it should add to like-for-like sales.
- 03
Plan for ROI
The plan names the stores, the change and the expected return, ordered by return per euro.
- 04
Pace the steps
Pilot stores are chosen so that the first few weeks tell you whether to roll out.
- 05
Measure and account
Pilot stores are compared with matched control stores each week until the agreed period ends.
By decision
Decisions we answer
Pricing
What you pay for, and when.
Agree the diagnostic and platform fees by scope. For advisor cases, agree the value-linked share, cap, deductible costs and result acceptance before work starts. Forecasts do not settle a measured-value fee.
- Company briefing
- Built from public data. No charge.
- Diagnostic
- A fixed fee, agreed before we start, on a sample of your data.
- Platform
- An annual fee set by the markets and data you connect.
- Advisor cases
- A fee tied to measured value. The baseline and the measurement are agreed in writing first.
Start with a briefing on your company.
We build it from public data and send it to your work email.