Launching today
RetainIq
AI decision intelligence for SaaS customer retention
12 followers
AI decision intelligence for SaaS customer retention
12 followers
RetainIQ is the first a prioritized action layer for SaaS retention and recovery. RetainIQ replaces dashboards with AI decision intelligence for B2B SaaS retention. Instead of showing customer data, it prioritizes who to contact, why they matter, and the next best action based on revenue impact. It continuously learns from outcomes to improve recommendations, helping teams recover revenue, reactivate users, and reduce churn.
Lancepilot
👋 Excited to Hunt RetainIQ today!
Most SaaS teams already know they're losing revenue to failed payments, dormant users, and churn. The difficult part isn't finding the data, it's knowing who to act on first.
That's what stood out to me about RetainIQ.
I especially like the philosophy behind it: ''Stop analyzing dashboards. Start executing decisions''
Instead of adding another dashboard full of charts, RetainIQ acts as an AI decision intelligence layer. It continuously analyzes billing, product, and customer signals to prioritize the customers that matter most, explain why they're at risk, recommend the next best action, and even learn from previous outcomes over time.
How does your team currently prioritize which customers to save first when hundreds are simultaneously at risk?
The makers are here today, ask them anything!
👋 Hey Product Hunt!
I'm Chintamani, founder of RetainIQ.
While speaking with SaaS founders, Customer Success leaders, and revenue teams, I kept noticing the same pattern:
Most companies don't lack customer data.
They already have product analytics, CRM activity, health scores, support tickets, and renewal forecasts.
Yet churn still arrives as a surprise.
The challenge isn't visibility.
The challenge is knowing which customer needs attention, why they're at risk, and what action is most likely to change the outcome.
That's why we built RetainIQ.
RetainIQ helps subscription businesses recover revenue, reactivate dormant customers, identify churn risk early, and prioritize the next best action before revenue is lost.
Our belief is simple:
Customer retention isn't just an insight problem. It's a decision problem.
I'd love your feedback and experiences.
👉 What's the earliest signal you've personally seen that reliably predicts customer churn?
Thank you for checking out RetainIQ 🙏