Churn-risk early alerts
Ceven watches product usage, support load, and billing for the early signals of churn, then drafts a save play the account owner approves before any outreach.
The warning signs no one is watching in real time
Churn rarely announces itself; it shows up first as a slow fade that is obvious only in hindsight. Logins taper off, a power user stops appearing, support tickets turn sharper in tone, an invoice slips past due. Each of those signals lives in a different tool, and no single person is watching all of them for every account at once. By the time the drop is big enough to notice in a quarterly review, the customer has often already decided to leave. Renewals then become a scramble to save a relationship that could have been steadied weeks earlier with a small, timely touch. The problem is not that the signals are missing; it is that they are scattered and no one is reading them together while there is still time to act.
How the workflow spots the drift
You describe the risk signals you care about in plain language, and Ceven builds a workflow that watches them continuously. It tracks engagement trends in Mixpanel and Amplitude, rising or angrier ticket volume in Zendesk, payment and renewal status in Stripe, and account and contract context in Salesforce. An AI step looks for meaningful drops rather than normal week-to-week noise, so a single quiet Friday does not trigger a false alarm. When a genuine pattern of risk appears, the workflow assembles the evidence into a short brief that names what changed and when, and posts it to the success team in Slack. The account data stays in the tools that own it; Ceven reads the trend and leaves the record in place. Because you defined the signals, you can tune what counts as risk as you learn which patterns actually precede churn for your product.
A drafted save play, not an automatic message
Spotting risk is where the automation stops and the human begins. Ceven drafts a suggested save play, whether that is a check-in from the account owner, an internal heads-up to the manager, or a proposed offer, and holds it at an approval gate. The owner reads the evidence, decides whether the risk is real, and chooses how to respond, because they often know context the signals cannot capture. Nothing reaches the customer until a person approves it, which keeps a fragile relationship out of the hands of an automated guess. Once approved, the play and the reasoning behind it are written to an exportable audit trail, so the account history stays legible. The alert is early and automatic; the outreach is deliberate and human.
Getting it running
You can start free with no credit card, connect your analytics, support, billing, and CRM tools, and describe the churn signals your team has learned to fear. Ceven builds the alerting workflow across its library of more than a thousand tools, so one run can read Amplitude, Zendesk, Stripe, and Salesforce and land a reviewed brief in Slack. Ceven is never the system of record, so your product analytics and billing tools remain the source of truth and keep their existing access controls. The workflow runs across your whole book, not just the marquee accounts, so the quiet mid-market customer gets the same early warning as the flagship. As you confirm which alerts led to real saves, the audit trail gives you the history to sharpen the model over time.
Frequently asked
Does it contact at-risk customers automatically?
No. Ceven raises the alert and drafts a save play, but holds it at an approval gate so the account owner decides what actually reaches the customer. The detection is automatic; the outreach is not.
Which tools does it watch?
It connects across more than a thousand tools, including Mixpanel, Amplitude, Zendesk, Salesforce, and Stripe, so it can read usage, support, and billing signals together instead of one at a time.
Where does our data live?
In your own tools. Ceven reads the trends it needs and leaves every record in the system that owns it, so it never becomes your source of truth, and each run is written to an exportable audit trail.
How does it avoid false alarms?
An AI step looks for meaningful, sustained drops rather than normal week-to-week noise, so a single slow day does not trigger an alert. You describe what counts as risk, so you can tighten the thresholds as you learn which patterns really precede churn.
Related use cases
Customer health scoring
Ceven combines product usage, support history, and billing signals into a single health score per account, then drafts the follow-up your success team approves.
Subscription renewal reminders
Ceven connects renewal dates to account owners, drafts tailored outreach, and holds each reminder for approval before it sends.
Renewal | risk early warning
Composite risk score from usage, sentiment, and payment latency. Drafted save email and call prep land in Slack before renewal becomes a fire drill.