Point Inkling at the customer data you already have: orders, logins, tickets, payments. It learns what normal looks like for each customer, then flags the ones drifting toward the door while they still look fine on paper. You get a short, ranked list of who to reach and why — early enough to keep them.
Send a read-only export, or connect wherever your customer data lives — billing, CRM, your product database. Anonymize it first if you want; the model reads patterns, not names.
It scores every active customer: who's likely to leave in the next 30 days, the reason behind each one, and the revenue at stake — ranked so you know where to start.
You reach the customers worth keeping. We're paid on the revenue you actually keep — nothing if we don't move the number.
Your dashboards tell you who already left. Inkling finds the customers who look healthy today but match the pattern of the ones who left last quarter — while there's still time to act.
The same engine that predicts who's leaving can tell you who'll buy again, what a customer is worth, or who won't renew. Start with churn; ask the rest when you're ready.