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2. Retention
Section two of my SaaS churn project looks at retention the way real SaaS teams track it: Gross Revenue Retention and Net Revenue Retention. GRR held in a stable 90-98% band across three years with no real decline. NRR averaged ~108%, staying above 100% in 35 of 36 months meaning expansion revenue consistently made up for what churn and downgrades took away.
Full breakdown, SQL, and the Power BI dashboard: github.com/MZT49/leaky-bucket-saas-churn
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Why are AI and SaaS such a powerful combination?
AI can make a SaaS product much more useful by taking care of tasks that normally require manual work.
Some common examples:
Automating repetitive workflows
Using data to support better decisions
Personalizing the user experience
Improving security and detecting unusual activity
The key is not simply adding AI to a SaaS product. It’s about using AI where it can make the product faster, smarter, and easier to use.
Annual vs monthly comes up in almost every pricing conversation I have with B2B founders, and it gets framed as a revenue decision.
It's closer to a cash timing decision.
Prepaid annual pulls twelve months of revenue into this quarter, which helps when you're funding hiring. But the price is fixed, and the return depends on how long that account would have stayed without a contract.
The standard two-months-free offer costs about 17%. Against an account that quits in month seven, clear win. Against one that renews on its own for three years, you handed back 17% of a customer who wasn't going anywhere.
So I start with the retention curve, not the pricing page.
https://www.duskolicanin.com/blog/annual-vs-monthly-b2b-saas-pricing-2026
Completed my exam-proctoring SaaS — AI-powered exam creation, live proctoring, real-time analytics. Built with Next.js, LLM APIs, and computer-vision-based monitoring.
Supabase makes for a remarkably comprehensive edtech platform! Managing live video streams alongside real time behavioral analytics is no small feat. Exceptional engineering!