Data Foundation
Your metrics and KPIs defined in a single layer, and optimised for AI
We join every platform in one warehouse, model it around how your business works, and check it every night with hundreds of tests.
Book a callOwnership Yours from day one. The models are yours from the day we write them. If you leave, the whole instance goes with you at no charge.
Included
What's included
- 1 Data sources
All of your data sources ingested
Shopify, Meta, Google Ads, GA4, Klaviyo and Amazon (plus more), joined in one warehouse.
- 2 Data modelling
Modelled around your business
Your COGS, attribution rules (opens in a new tab), contribution margin definitions and targets, set in a sheet your team can change without code, so the model fits how your business runs.
- 3 Data validation
Validated every night
Hundreds of tests catch missing orders, revenue mismatches, date gaps and changed fields before they reach a dashboard, and the warehouse reconciles to each platform.
- 4 Data definitions
Every metric defined once
CAC, new customer conversion rate, CM1, CM2, CM3 and the rest, defined and described in one place for your business, so every dashboard and every AI answer uses the same definition.
- 5 Dashboards
Dashboards that say where to look
The full dashboard suite: KPI health reports, acquisition deep dives, retention and LTV, and product and order deep dives. All built from operator experience.
- 6 AI analyst
An AI analyst in Claude
Your own custom MCP connector, available to the whole team. Ask the next question in plain English and get the answer in seconds, with the data sources behind it named.
Your numbers
Your numbers, set up around how your business runs
Your configuration sheet sets the rules the model follows, and your team can change it without code. Every number that uses a change updates at the next refresh.
- Track unique discount codes.
- Track COGS, fulfilment, contribution and margin costs per order or item.
- Assign your own attribution rules.
Illustrative: you change a cost or add a code, and every number that uses it changes at the next refresh.
-
Attribution (opens in a new tab) built from six platforms and modelled on your survey answers, because the platforms shouldn't mark their own homework.
Attribution -
Your COGS, fees and contribution margin are modelled in, so growth is measured in profit, not just revenue.
Contribution margin -
Every KPI is flagged urgent, caution or opportunity against its own last 12 weeks, with daily pacing against budget.
KPI health
Validated
Checked every night, before anyone looks
Hundreds of tests catch missing orders, revenue mismatches, date gaps and changed fields before they reach a dashboard, and the warehouse reconciles to each platform.
- ✓ Orders reconcile to Shopify 1,284 of 1,284
- ✓ Ad spend matches Meta and Google to the penny
- ✓ No missing days 365 of 365
- ✓ No duplicate orders 0 found
- ✓ Refunds match Shopify £2,104
- ✓ Every metric defined and described 48 of 48
Illustrative: example questions and figures.
Built for AI
Your AI is only as good as the data behind it
Your dashboards and your AI analyst read the same validated data and the same definition of every metric, so they never give you two different answers.
Illustrative: one month of 5,000 orders. The waterfall checks six sources in order, then re-attribution splits what is left by what surveyed customers said.
-
We remodel attribution from your post-purchase survey, so orders left as Direct or Unknown are credited to what actually drove them. We don't let the ad platforms mark their own homework: each one reports the sales it claims, so the same order is often counted by two or three of them.
Attribution -
Built for AI from the ground up: every table and metric is defined and described, so your AI workflows get the right answer first time, on fewer tokens.
Data definitions -
Questions that used to wait days for an analyst are answered in seconds, from the same numbers your dashboards show.
AI analyst -
Every number and definition is traceable to its source.
Traceable
Next
Start with your reporting
We go through how you report today before we price anything, then scope the build against what we find.