We don't try to replace your CRM or billing system
RetainIQ integrates with your existing tools (starting with Stripe). We're designed to complement, not compete with, your core infrastructure.
A focused, AI-first approach to customer retention — without bloated CS platforms or services dependency.
Understanding where RetainIQ fits in the customer retention landscape
| Dimension | RetainIQ | Traditional CS Platforms | Services-Led Recovery |
|---|---|---|---|
| Core Focus | Retention outcomes | Broad CS workflows | Manual recovery |
| AI Usage | Built-in, predictive | Add-on / assistive | Minimal |
| Time to Value | Fast | Long setup | Human-dependent |
| Pricing Model | Performance-aligned | Seat / license-based | % + services |
| Scope | Recover, Reactivate, Retain | Everything | Mostly recovery |
Built from the ground up for modern SaaS retention challenges
Built from the ground up with machine learning — not dashboards with AI added later. Every retention decision is informed by predictive intelligence.
We only win when you win. No heavy upfront commitments. Our pricing model aligns with your retention outcomes, not seat counts.
Focused exclusively on recover, reactivate, and retain — not a generic CS platform. Every feature serves retention outcomes.
Clarity on what we are — and what we're not
RetainIQ integrates with your existing tools (starting with Stripe). We're designed to complement, not compete with, your core infrastructure.
Our approach is AI-first and automated. While human oversight is valuable, we don't require expensive service teams to deliver results.
Performance-aligned pricing means you're free to evaluate results without heavy commitments. We believe in earning your business continuously.
Ideal customer profile for maximum impact
Subscription-based software businesses with recurring revenue models
Currently using Stripe for payments and billing infrastructure
Growing SaaS companies focused on scaling retention efficiently
Teams prioritizing retention results over dashboard complexity
Limited early access available for March 2026 launch.
Visit our main page to learn more or schedule a demo.