A senior analyst, but typed.
Ask your data the same way you'd ask a teammate. Structured answers come back with the numbers, the time window, the causes, and what to do next.
Most marketing questions span 3-5 tools. GA4 for traffic, Meta Ads for paid social, Stripe for revenue, Search Console for SEO. Building a single coherent story by hand is 30-60 minutes of clicking. Multiply that by every weekly stand-up.
You type in English or French. No SQL, no metric picker. "Why did CVR drop last week?" is enough.
The AI maps your question to the canonical metrics layer, picks the right sources, builds the SQL/API calls, and runs them with the right window comparison.
Result: a TL;DR + the underlying numbers + 2-3 contributing factors + recommended actions. Every number is sourced, you can click to see the raw connector data.
Each answer keeps context, so you can refine without re-explaining. "Same thing but for last 30 days?" works.
Anthropic Claude models (Haiku for fast lookups, Sonnet for complex multi-source analysis). Every answer is grounded in your live connector data via the canonical metrics layer, never hallucinated. Your data never leaves the European hosting region.
Connect one source and try a question on real data.
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