Technology
LoveFlow.
A dating app startup whose matching algorithm was driving users away. We redesigned their AI core, improving match quality by 40% and doubling retention.
Engagement
4 weeks
40%
Match quality boost
Owner
Full code
2x
Retention improvement
92%
User satisfaction
14 days
To first results
The Problem
LoveFlow's initial matching algorithm relied on surface-level preferences. Users were getting poor matches, retention was dropping fast, and the team didn't have the AI expertise in-house to fix it.
What We Built
A redesigned matching engine:
- Behavioral signal extraction from user interaction patterns
- Multi-dimensional compatibility scoring beyond stated preferences
- Real-time learning loop that improved with every swipe
- A/B testing framework for continuous match quality optimization
ROI Snapshot — The Billable Bleed
Before — Churn Cost
15% monthly churn · 10K users
1,500 users/mo
Lost to poor matching
After — Retention Gain
40% better matches · 2x retention
+750 users/mo
Retained at ~$9/user LTV
AI System Investment$5,000–10,000
Annual Retention Value: ~$81,000 in saved churn
“Our retention numbers turned around within a month. SanLuis AI didn't just fix our algorithm — they gave us a competitive moat.”
Want a 40% improvement in your metrics?
Start with a $300 Discovery Session. 60 minutes. Clear roadmap.