SaaS operators, growth leaders, and finance teams who need to track subscription metrics, understand user engagement, and monitor business health from their production database.
The problem
What saas teams deal with every day.
Subscription metrics are hard to calculate
MRR, churn, expansion revenue, and net retention all require complex calculations across billing, subscription, and usage data. Most teams get it wrong or give up.
Usage and billing data don't connect
Your product usage data lives in one database and billing in another. Understanding which features drive upgrades or which usage patterns predict churn requires manual analysis.
Growth experiments lack measurement
You launch a new pricing tier, adjust onboarding, or test a feature gate, but measuring the actual impact on revenue and retention takes weeks.
Investor and board reporting is manual
Every month, someone spends a full day calculating SaaS metrics, building charts, and compiling a board deck. The process is error-prone and time-consuming.
How AI for Database helps
Ask questions, get answers, automate everything.
Automated SaaS metrics
Get accurate MRR, ARR, churn, expansion, and net retention calculated from your actual subscription data. No spreadsheets needed.
> Show me MRR, MRR growth rate, gross churn, and net revenue retention for each of the last 12 months
Usage-to-revenue correlation
Connect product usage patterns to revenue outcomes. See which features drive upgrades and which usage drops predict churn.
> Which product features are most used by customers who upgraded in the last 90 days vs. those who churned?
Experiment impact analysis
Measure the revenue and engagement impact of pricing changes, onboarding updates, or feature launches with simple queries.
> Compare trial-to-paid conversion rate and average contract value for the new onboarding flow vs. the old one
Investor-ready reporting
Generate board-ready metrics dashboards that update automatically. Share live links instead of static slides.
> Create a monthly investor dashboard with MRR, net retention, CAC payback, LTV/CAC ratio, and logo churn
Cohort and segment analysis
Analyze retention, expansion, and engagement by signup cohort, pricing plan, company size, or any other dimension.
> Show me 12-month revenue retention curves by pricing plan, with cohorts grouped by signup quarter
Dashboard templates
Automated workflows
Key metrics you can track
“We used to argue about whether our churn was 3% or 5% because everyone calculated it differently. AI for Database gives us one consistent answer from real subscription data.”
James W.
VP of Finance, B2B SaaS Platform
Ready to try AI for Database?
Query your database in plain English. No SQL required. Start free today.