The Performance Audit
Three weeks in your data to map where the money is.
Duration3 weeks- Opportunity map, sized in €
- Data-maturity scan
- 90-day roadmap, ranked by return
- 100% credited against a sprint
Four products. One sequence.
Discovery, execution, partnership. Every engagement starts with the audit.
The Sprints
One opportunity from the audit, executed and measured.
Duration6–10 weeks- Measurement, segmentation or pricing
- Pre-scoped from a fixed menu
- Baseline agreed in writing
- Performance-based pricing
The AI Build
One process your team repeats, rebuilt around AI and run every week.
Duration4–8 weeks- Process mapped, AI placed where it pays
- Agents built on your own exports
- Team trained to run it and question it
- Measured against the old way
Performance Partner
Recurring analytics for your team, run month after month.
Duration6 months, then rolling- Recurring analyses, re-run on every new export
- A set number of deep analyses each month
- Quarterly impact review, in €
None of the four quite fits?
Scope a tailor-made engagement
How pricing works
The price follows the value you get back.
The audit is quoted before it starts
No day rate. The fee depends on the state of your data and the number of sources we need to connect, and you have it in writing before kickoff. If a sprint follows, the audit comes off its price.
Sprints pay us when they pay you
A base fee, set before kickoff by the complexity and length of the sprint. A capped variable part that only kicks in on measured impact.
The AI build is fixed-price
Scoped per process after the audit, one fixed fee agreed before kickoff. What we build is yours: code, prompts and definitions stay with your team.
The partnership proves its value every quarter
One monthly fee, no variable part. Every quarter, a review puts a € figure on what the decisions we took together brought in. The rolling term leaves you free to stop.
Every price is written down before work starts. Scope is the negotiation variable, never the quality of the work.
The fit
We're not for every retailer. Here's the line.
When we fit
- You own a digital P&L, and it's yours to move.
- The numbers exist but don't conclude: reports abound, decisions don't.
- You want a decision you can act on Monday, and you'll let it be measured.
When we don't
- You want a dashboard or a data platform built. Good firms do that; we don't.
- You want a second opinion to bless a decision already taken.
- You want a team on site five days a week. There is no team, by design.
Training
Every engagement trains your team to run it.
Training is built into the work, not added at the end.
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During
See it built
Your analysts follow how each number is built, on your data.
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At handover
The walkthrough
How it works, how to run it, what to watch.
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After
Yours
Your team runs it and makes the next call.
Questions
What buyers ask before the first call.
How is the audit priced, and what do I get?
- A fixed fee, quoted before kickoff, for three weeks.
- The price depends on the state of your data and the number of sources to connect.
- You get an opportunity map sized in €, a one-page data-maturity scan, a 90-day roadmap and a 45-minute executive readout.
- The fee is deducted in full from any sprint signed within 30 days of the readout.
How is a sprint priced?
- A base fee, quoted before kickoff, sized to the complexity and length of the sprint.
- A capped performance component, indexed on the impact measured in your numbers.
- Metric, baseline and measurement window are agreed in writing before kickoff. The component is settled on your data, not our projections.
- No impact, no performance component. The audit fee comes off the sprint.
Can we skip the audit and go straight to execution?
- Sprints are scoped from an audit finding. That is what keeps the menu fixed and the baseline trustworthy.
- If you have already quantified the opportunity, bring the numbers to the call.
- We'll say whether a direct sprint is honest or whether the audit comes first.
What data access do you need?
- Read access to sales, margin and promo data. Exports in xlsx or csv are enough.
- Access is confirmed in writing before kickoff, so the three weeks go to analysis, not to chasing files.
- Personal customer data never appears in a deliverable.
Our data probably isn't clean enough. Is that a problem?
- It's the normal starting point.
- Every dataset passes a quality gate before analysis. The data-maturity scan tells you what to fix first.
- If the data can't support a trustworthy conclusion, we say so.
Where do you work?
- Remote-first. On site for the kickoff and the readout.
- Engagements run in English, French or Italian.
- Based in France, working across European retail.
Start where every engagement starts: one call.
Thirty minutes, your last trading pack on the table. If the audit won't pay for itself, we say so.