AI Customer Retention Engine
Identify likely next purchases and generate targeted offers and messages.
Finds the customers about to lapse and does something about it before they do, with an offer that fits what they actually buy. It measures whether the offer was needed rather than only whether it was used.
What a v1 does5 features
- Lapse risk scored per customer, with the reason
- Offers generated to fit the individual, not the segment
- Timed to when the next purchase should have happened
- Incremental effect measured against a held-back group
- Campaigns that stop automatically when they stop working
The market
Klaviyo reports 110% net revenue retention and grew 32% in FY2025. Retention tooling for commerce is among the most established business markets there is, and $79 a month is modest against it.
Where these numbers come from
| Company | Earns | Reach | Source |
|---|---|---|---|
| Klaviyo | $1.234B revenue, FY2025 (+32%) · 110% net revenue retention | 193,000+ customers | Public filings, 2025 |
| Klaviyo | 3,912 customers above $50k ARR (+37%) | Not published | Public filings, 2025 |
| Gainsight | Enterprise seats | Not published | Model, not a disclosed figure |
Why this audience
This audience owns businesses where a lapsed regular is a measurable loss, not a rounding error. The content frames retention as cheaper than acquisition and they believe it. Catching the customer before they lapse is that principle made operational.
Before it can launch
- CAN-SPAM and TCPA on the sending side
What it earns
Drag me Every figure recalculates as you go.
0.011% of 9M followers · capped at 50,000
Opens on the price this idea was costed at, $79.
1,000 paying — 0.011% of 9M followers — × $79 a month = $79,000 a month
Fifty thousand paying users is the ceiling every one of these pages is drawn against, not a forecast. It opens at a thousand, the bottom of the range, so the first figures you see are the modest ones. What the cap buys is comparability: the same range on every app, and the percentage of the audience it takes as the number that moves.
Is this the one for your audience?
We fund it, build it, and run it. You bring the audience and take a share of the revenue. Nothing to pay and nothing to build.
AI Customer Red Flagger
Analyze customer behavior and flag or categorize customers based on business-defined risk or value patterns.
AI Customer Categorizer
Classify customers into groups such as one-time buyers, profit killers, boundary pushers, payment problems, and loyal high-value customers.
Customer Intelligence Dashboard
Customer database showing behavior patterns, purchase history, profitability, complaints, and categories.
AI Messaging Customizer
Personalize email, SMS, and outreach using purchase history, spending behavior, preferences, and likely next purchases.
AI Customer Profitability Analyzer
Assess customer profitability after purchases, returns, support time, discounts, payment issues, and other costs.