A customer going quiet looks like nothing:
until the pattern is flagged
By the time a customer cancels or simply stops ordering, the warning signs were visible weeks earlier in data nobody was watching in real time. We build an agent that tracks the behavior that actually predicts churn for your business and raises a flag early enough that a win-back offer or a check-in call still has a chance.
The process today
Churn is usually invisible until it is final. A customer’s order cadence stretches from every three weeks to every six, a subscriber stops opening the app, a support ticket gets a curt reply instead of the usual friendly one, and none of these individually look like a cancellation. They look like noise, until the cancellation or the lapsed order actually happens and someone pulls a report that shows the warning signs were there the whole time. Subscription and repeat-purchase businesses commonly lose 20 to 40 percent of at-risk customers to churn that a timely outreach could have caught, according to widely cited retention benchmarks, and most of that loss happens silently because nobody was watching the leading indicators in real time.
The reason teams do not catch it earlier is not a lack of data, it is that the data lives in three different places (order history, product usage, support tickets) and nobody has time to cross-reference all three for every customer every week. By the time someone builds a manual churn report, it usually covers last month, which is long enough after the fact that a win-back offer lands on a customer who has already moved to a competitor.
What the agent does
Scores churn risk per customer on a schedule, combining order or subscription cadence, usage patterns where you have app or login data, and support interaction history into one risk level instead of eyeballing each signal separately.
Attaches a reason to every alert, so a flag says “order cadence slipped from 21 to 45 days” or “three support tickets in two weeks with no resolution,” not just a number nobody can act on.
Sends the alert the moment a customer crosses a risk threshold, to your CRM, Telegram or Slack, so a retention team sees it while there is still time to act.
Suggests a win-back offer based on what has worked for similar customers before, sized and framed for review rather than sent straight to the customer.
Builds a dashboard of at-risk customers by segment and value, so a retention team can prioritize the highest-value accounts first instead of working the list in the order it arrived.
Tracks cohort churn rate over time, so the business can see whether a product change or a pricing shift moved the overall number, not just individual cases.
What stays with humans
The agent flags and suggests, it does not send an offer or make a retention decision on its own. Every win-back offer, discount or outreach message is reviewed and sent by a person, who knows the context a risk score cannot capture, like a customer who already explained why they are leaving. Decisions about how much discount or concession to offer a high-value account at risk stay with whoever owns that relationship.
Guards
A validation period where risk scores are checked against customers your team already knows have churned or stayed, so the thresholds are tuned to your actual pattern before anything goes live. After that, every alert logs the signals behind the score, so a reviewer can see exactly why a customer was flagged, rate limits keep a data glitch from flooding the retention queue with false alarms, and a kill switch pauses scoring or alerting instantly if the model needs retuning.
Price and timeline
| Package | Price | Best for |
|---|---|---|
| Single automation | from $700 | One data source and a standard churn-risk model tuned to your business |
| Department package | from $2,500 | Churn alerts plus customer segmentation and lifecycle messaging sharing the same data |
4 to 9 days covers defining churn for your business, connecting your data, and validating the first risk scores against known outcomes.
Related
Works tightly with customer segmentation and push and email lifecycle messaging for acting on a flag, and with affiliate reporting where churn and acquisition cost need to be weighed together. Part of automation of everything digital and built the way we build AI agents for our own products. The data layer behind this kind of alert is the one we built for the analytics hub across two sports nutrition brands, and the unit-economics audit behind a trading app with a 4.8 rating and a funnel that lost money on every user is the same kind of cost-of-churn math this automation runs continuously instead of once. The sports nutrition brand that grew sales 2.7 times in a quarter built exactly this kind of visibility before the relaunch, not after.
Tell us what churn looks like for your business and we will send back a fixed price and a plan for the first week: get in touch.
Tired of doing this by hand? We can take the whole routine off your team, not just this step: Routine takeover, from $400 →
FAQ
How much does a churn alert agent cost?
A single data source and a standard risk model starts from $700. A department package covering churn alerts plus segmentation and lifecycle messaging starts from $2,500, priced once we know your order or subscription cadence.
How long does it take to go live?
4 to 9 days: defining what churn actually looks like for your business (a lapsed order cadence, a usage drop, a support complaint pattern), connecting your data, and validating the first risk scores against customers you already know have churned or stayed.
Which tools does it connect to?
Your store backend or subscription billing system for order and payment history, your support tool for complaint and ticket signals, your analytics warehouse if you have one, and your CRM or Telegram or Slack for where the alert actually lands.
What if the agent flags the wrong customer?
A flag is a risk score with a reason attached, not an action taken on the customer's account, so a wrong flag costs nothing more than a person glancing at it and dismissing it. We tune the risk thresholds against your real churn history before launch to cut down on false alarms.
Is customer data safe?
The agent reads order, usage and support data under the same permissions your team already has, and alerts contain only what a person needs to act (the customer, the risk reason, the suggested next step), nothing more. Access can be revoked at any time.