AI Analytics Platform

AI Analytics for SaaS

SaaS metrics are everything — MRR, churn, LTV, CAC. But building dashboards and running analyses requires a data team most startups can't afford. AI analytics lets anyone on your team query your business data instantly.

The challenges

  • Key SaaS metrics (MRR, churn, LTV) require manual spreadsheet calculations
  • Product usage data exists but isn't connected to revenue or churn outcomes
  • Board reporting takes days of data wrangling every month
  • You need a data analyst to answer basic business questions

How we solve this

  • Automated SaaS metrics dashboard — MRR, ARR, churn, LTV, CAC — updated in real time
  • Natural language queries: 'What's our net revenue retention for Q4 cohort?'
  • AI-powered churn prediction connecting product usage to cancellation risk

Real results

Identified churn risk pattern saving $45K ARR

A B2B SaaS company connected their product, billing, and support data. AI identified a specific usage pattern that predicted churn with 85% accuracy, allowing proactive intervention that saved $45K in ARR.

Frequently asked questions

What data sources does SaaS analytics connect to?

Stripe, Chargebee, ProfitWell, Mixpanel, Amplitude, Intercom, HubSpot, Segment, and most SaaS tools. We unify billing, product usage, and customer data in one queryable platform.

Can non-technical team members use this?

That's the point. Your head of sales can ask 'Which pricing plan has the highest expansion revenue?' and get an instant answer with charts. No SQL, no analyst needed.

How is this different from Baremetrics or ChartMogul?

Those tools show billing metrics. AI analytics connects billing to product usage, support tickets, and marketing data — letting you understand WHY metrics move, not just WHAT they are.

Ready to get started?

Book a free 30-minute AI audit. We'll identify your top automation opportunities and build you a proof-of-concept.

Book Your Free AI Audit