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.
Why a health score is stale the moment it is written
The signals that tell you whether an account is thriving or slipping live in different tools that were never meant to be read together. Product usage sits in an analytics tool, support load sits in the help desk, contract and payment history sit in billing, and the relationship notes sit in the CRM. To score an account, someone exports a few of these, pastes them into a spreadsheet, and applies a rule of thumb that lives mostly in their head. The result is stale before the meeting it was built for, and it only covers the handful of accounts someone had time to look at. The accounts that quietly stop logging in are exactly the ones no one thought to check. A score that takes an afternoon to assemble cannot be run across the whole book every week, so it is not.
How the workflow assembles the score
You describe the health model you want in plain language, and Ceven builds a workflow that gathers the inputs on a schedule. It reads product engagement from Mixpanel, open and recent tickets from Zendesk and Intercom, payment and plan status from Stripe, and account context from Salesforce. An AI step weighs those signals into a single score and a short plain-language reason for it, so a number always comes with the sentence that explains it. Accounts that cross a threshold are grouped, and a digest is posted to Slack for the success team to review together. The underlying data never leaves the tools that own it; Ceven reads what it needs and leaves the record where it belongs. Because you described the model, you can adjust the weighting whenever your definition of healthy changes, without rebuilding anything from scratch.
Keeping outreach under human control
When a score suggests an account needs attention, the workflow drafts the next step rather than taking it. A proposed check-in note or internal flag lands in front of the account owner, who decides whether to send it, revise it, or hold off because they know something the data does not. This matters most in customer success, where a mistimed automated message can do more harm than silence. Once the owner approves, the action and its reasoning are written to an exportable audit trail, so the history of every account stays legible later. The score informs the human; it does not act on the customer by itself. That line is the default and does not have to be configured.
What it plugs into
You can start free with no credit card, connect your analytics, support, billing, and CRM tools, and describe the health model your team believes in. Ceven builds the scoring workflow across its library of more than a thousand tools, so one run can read Mixpanel, Zendesk, Stripe, and Salesforce and land a reviewed digest in Slack. Ceven is never the system of record, so your CRM stays the source of truth for the relationship and your billing tool stays the source of truth for revenue. If you want the score visible outside a chat message, Ceven can host a no-code dashboard that refreshes on the same schedule. As your book grows, the same workflow covers every account, not just the ones someone remembered to check.
Frequently asked
Does it reach out to customers on its own?
No. Ceven drafts any outreach a low score suggests and holds it at an approval gate, so the account owner decides what actually goes to the customer. The scoring runs automatically; the customer contact does not.
Which tools does it pull from?
It connects across more than a thousand tools, including Mixpanel, Zendesk, Intercom, Salesforce, and Stripe, so the score can draw on usage, support, and billing signals at once.
Is Ceven storing our customer data or replacing our CRM?
Neither. Ceven reads the signals it needs and leaves each record in the tool that owns it, so your CRM and billing system stay the source of truth. Every run is written to an exportable audit trail.
Can we change how the score is calculated?
Yes. You describe the health model in plain language, so you can reweight usage, support, and billing signals whenever your definition of a healthy account changes, and the audit trail shows when the model changed.
Related use cases
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.
NPS and survey analysis
Ceven reads every NPS and survey response across your tools, groups the themes, and drafts a cited brief with suggested follow-ups your team approves before acting.
Support ticket triage and deflection
Ceven reads incoming support tickets, classifies and routes them, and drafts replies for the routine ones that an agent approves before anything reaches a customer.