AI analytics for SaaS: MRR, churn and retention without writing SQL
Updated 2026-09-26
Ask "net new MRR this quarter?", "logo churn by plan?" or "retention by signup cohort?" and Intellrise writes the SQL, draws the chart, pins it to a dashboard, and can email you the numbers as a report every Monday. A founder runs it on Pro at $29/month; a team runs it on Team at $100/month for five seats, so everyone reads MRR from one shared workspace. Define "active" or "churned" once, and later answers use your definition.
You don't have to start with the production database. A Google Sheet connects with no read-only user and no open port, and it never counts against the free tier's one source; CSV and Excel uploads work on the 14-day Pro trial. A billing export is usually enough to get the first MRR question answered before anyone opens a firewall rule. The AI runs on an AI provider key, and a Google Gemini key is free to create.
Sources it connects for SaaS
- Your product/application database (PostgreSQL, MySQL).
- A warehouse if you pipe events in (Amazon Redshift).
- Exports from billing or CRM as Google Sheets, CSV or Excel.
- Cross-source questions join product usage with billing in one query.
Questions SaaS teams ask
- MRR trend and net new MRR this year
- Logo and revenue churn by plan over the last 6 months
- Activation rate: signup → first key action
- Retention by signup cohort
- Expansion revenue by segment
Metrics worth keeping on a dashboard
- MRR / ARR and net new MRR
- Gross and net revenue retention
- Activation and time-to-value
- Churn by plan and by cohort
Why it fits SaaS
Definitions matter in SaaS — "active", "churned", "activated" mean different things to different teams. An AI data analyst lets you pin those definitions once and reuses them, so your MRR and churn numbers stay consistent across everyone who asks — through later sessions and a schema refresh. It's especially strong for analysts and dbt users who already model events.
Frequently asked questions
Yes. Point it at your dbt target schema and it recognises your fact/dimension/staging tables and uses your definitions.
Yes — clarify what activation means once and it holds that definition against the source, so the metric stays consistent through later sessions and a schema refresh.
Related
The one-stop AI data analyst that knows your schema.
One place from question to finished work: the SQL, the chart, a dashboard your whole team can open, and a report that emails itself every morning. It learns what your columns mean, so nobody explains a field twice. Start free with one database plus Google Sheets, or take 14 days of Pro with no card.
Every new account starts on a 14-day Pro trial with no card. After it lapses, the free tier stays free.