Client Churn-Risk Alert
By the time a client stops replying, the churn already happened. This workflow watches the engagement signals that fade before someone leaves — quiet logins, slowing replies, dropped usage — and alerts you early enough to actually save the relationship.
You find out a client is gone when they ghost a renewal email. The warning signs were there for weeks; nobody was watching for them.
The moment a client's signals dip into the danger zone, you get a Slack alert with who and why — in time to make the call that keeps them.
How it works
- 1Check on schedule — A cron trigger runs regularly (daily or weekly) and pulls current engagement data for each active client.
- 2Score the signals — Pulls the metrics that predict churn — recency, frequency, response time — from your data source.
- 3Flag the at-risk — IF logic compares each client against your risk thresholds and isolates the ones trending the wrong way.
- 4Alert you to act — Sends a Slack alert naming the at-risk clients and why they tripped, so you can reach out before it's too late.
Built with
Best for
- ✓Retainer and subscription service businesses
- ✓Account managers juggling many clients
- ✓Anyone who's lost a client they could have saved
Questions
What signals count as churn risk?
You define them — login recency, message frequency, response lag, usage drop. The thresholds are settings you tune to your business.
Where does the engagement data come from?
Any source you track it in — a product database, support tool, CRM activity, or a maintained sheet. The data node is yours to point.
What's it tested on?
Tested on n8n v1.58+. You connect your data source and Slack.
In the Pro bundle
Get on the early list to be first when bundles open — launch pricing for the list. Start with the free sample to see the quality.