Revenue Analytics for HubSpot

Your HubSpot dashboards answer the questions you knew to ask. This connects Claude to every other one. Real problems teams solve with it:

• Cohort Analysis - a blended metric can look healthy while hiding one segment expanding and another quietly churning. No HubSpot tier cohorts by acquisition segment and signup period.
• Drift Correction - a custom field can quietly change what it measures mid-year, making a definition change look like a real cost shift. Teach Claude the correction once; every future query applies it.
• Per-Rep Weighting - reps don't all use the same deal stage the same way, so one configured probability can misstate whose pipeline is solid. Weighting by each rep's real win rate can reorder who looks strongest.
• Forecast calibration - configured win probabilities are rarely checked against actual history, letting dead-weight stages quietly inflate the forecast.
• Email attribution - native reporting stops at opens/clicks; tracing engaged contacts through to an actual deal takes joins no single-object report can express.
• Pipeline leaderboard - ranking reps by raw open pipeline rewards volume over quality; weighting by real odds and win rate can reorder who's strongest.

Each needs joins, CTEs, HAVING, or window functions across multiple HubSpot objects at once - what HubSpot's standard reporting has no path for (single-object reports, a 2-object cap on cross-object dot notation, multi-object reporting gated to Enterprise Data Hub). Ask Claude in plain words and it writes and runs the SQL, then shows its work.

Under the hood: mirrors your HubSpot portal (deals, pipeline, contacts, companies, engagements, email, workflows) into a real SQL Server database, with schema discovery, semantic metadata, and saved-query tools alongside read-only query execution. Requires a DataLabs.store account with HubSpot sync enabled; queries run through a read-only database role.