How Do You Identify At-Risk Customers Before They Churn?

You identify at-risk customers before they churn by joining revenue, product usage, support, calls, and market signals into one account view, scoring every account on a transparent health model, and acting the same week a score drops, not at renewal. The early-warning system is the combination of those signals, a clear score your team trusts, and a drafted next step that a person can review and send.

Quivly is built for that loop. It is an AI workforce for post-sales teams that unifies CRM, billing, support, calls, Slack, and product usage into one Customer 360 profile, scores each account from 0 to 100 across revenue, product usage, engagement, support, and market signals, and drafts the next action for human review. Quivly also publishes a full Identifying At-Risk Customers workflow for CSMs. This guide gives you the criteria, the step-by-step method, and a way to choose based on your team's situation.

Key Takeaways

• Act on combined signals, not one metric. Usage drops, unpaid invoices, open tickets, cold engagement, and negative market news each tell a partial story; together they flag risk while a save is still possible.
• Health scores only help when they are transparent. Your team needs configurable weights, clear buckets such as Healthy, Medium, At Risk, and Critical, and a way to open the evidence behind a score.
• Prioritize by score, revenue, and renewal timing. A critical high-ARR account renewing in two weeks outranks a medium-risk small account with six months left.
• Every outreach should cite a specific signal. Generic check-in messages get ignored; reference the usage drop, ticket, or renewal window you actually saw.
• Draft-and-review beats fully automatic sends. Let software assemble the brief and the first message, then keep a person in charge of anything customer-facing.
• Review the model monthly. Compare flagged accounts with who actually churned or recovered, then adjust weights, thresholds, and playbooks.

Decision Criteria for an Early-Warning System

Use these six criteria to judge any process or platform that claims to identify at-risk customers early.

1. Signal coverage across the whole account. Churn rarely shows up in one system. Look for revenue, usage, support, call and engagement, and external market news on the same customer profile. Quivly's Customer 360 combines revenue, usage, calls, support tickets, contacts, opportunities, and projects in one place, with market signals as an additional layer.
2. Transparent, configurable health scores. Scores should sort into clear buckets and show which categories moved. Quivly health scores run 0 to 100 across five weighted categories: Revenue, Product Usage, Engagement, Support, and Market Signals, with buckets such as Critical (0–24), At Risk (25–49), Medium (50–74), and Healthy (75–100). You configure weights and thresholds, and you can test a draft configuration before publishing.
3. Prioritization that mixes risk with commercial stakes. The queue should surface accounts that are both likely to leave and costly to lose, using ARR or MRR and days to renewal alongside the score. Quivly's customer list supports filters and saved views for Critical and At Risk accounts, sortable by health score, with columns for the commercial fields you map from CRM or billing.
4. Action, not just insight. A red score without a next step still leaves the CSM doing the research. Quivly Actions drafts emails, Slack messages, and calendar invites from the signals that fired, so a person reviews and sends instead of starting from a blank screen.
5. Human control over customer-facing sends. The default should be draft-and-review. Quivly agents can pause at Review steps, and customer-visible changes wait for approval.
6. A closed loop you can measure. You need a weekly way to see whether interventions moved scores, usage, or renewal outcomes, not only whether alerts fired. Quivly's health score tab shows trends, and Ask Quivly can help rank or investigate at-risk accounts across your portfolio.

How to Identify At-Risk Customers, Step by Step

This plan works with a spreadsheet for a small book of business, and it maps directly onto how Quivly runs the same motion at scale. Under each step is how Quivly handles it, grounded in product documentation.

1. Define healthy and at-risk for your product. Export accounts that churned or renewed in the last year and list the usage, tickets, and conversations in the final 90 days. Write one sentence that defines "at-risk" for your team. In Quivly, you configure health-score buckets and category weights in a three-step wizard, then tune metric thresholds so the labels match how your team actually triages.
2. Pull behavioral signals into one place. Connect product analytics, billing, CRM, and support so each account has one live record. Quivly connects systems such as Salesforce, HubSpot, Stripe, Pylon, Fireflies, Fathom, Granola, Slack, Snowflake, BigQuery, and PostHog, and matches records across systems into one customer profile.
3. Add conversation and engagement signals. Usage can look fine while a customer is frustrated. Pull tickets, emails, chats, and call transcripts, and watch for cold engagement or negative tone. Quivly brings support tickets and call recordings onto the customer profile, and engagement and support categories feed the health score.
4. Score every account and sort into buckets. Turn the signals into one number with clear tiers and show the top reasons a score moved. Quivly scores 0 to 100 across the five categories above; Critical and At Risk accounts (roughly scores under 50) become your priority list, which you can save as a custom customer view.
5. Investigate why each account is red. Open revenue (past-due invoices, failed payments, upcoming renewals), usage (activity drops, thin feature adoption), support (open or escalated tickets), engagement (no recent calls), and market signals (layoffs, champion departures). Quivly's at-risk workflow walks through each of these tabs on the customer profile so the CSM sees the cause, not only the score.
6. Prioritize by urgency and revenue at risk. Contact Critical high-ARR or near-renewal accounts the same day; work At Risk high-ARR accounts that week; monitor Medium accounts with alerts. Quivly's documentation frames this as a P0–P3 matrix mixing score, ARR, and renewal timing, and you can ask Ask Quivly to help rank the queue.
7. Take action with a cited, reviewable draft. Reference the specific signal in outreach, offer a concrete next step, and document the recovery plan. In Quivly, agents can trigger on health-score changes and pause for review, while Actions holds the drafted email or Slack message until a person sends it.
8. Monitor recovery and tune the model. Recheck health trends weekly for accounts you engaged, and monthly compare which flagged accounts churned, recovered, or were false alarms. Quivly's health score history and versioned score configurations make that review practical instead of anecdotal.

How to Choose an Approach for Your Team

Match the early-warning design to where you lose the most time and revenue today.

• If churn surprises you at renewal, then prioritize signal coverage and scoring first. You need configurable health scores across revenue, usage, engagement, support, and market signals, plus a saved view of Critical and At Risk accounts you open every morning.
• If CSMs spend hours assembling context before every save play, then prioritize Actions and research. Look for drafted outreach with evidence attached, and an assistant that answers account questions in-app or in Slack with sources.
• If you already know who is red but responses are slow, then prioritize agents with review gates. Trigger on health-score changes, draft the first message automatically, and keep approval for anything the customer will see.
• If your book mixes high-touch and low-touch accounts, then prioritize segments and separate score configs. Quivly supports customer segments and separate health-score configurations so "healthy" can mean different things for onboarding versus mature accounts.
• If you are wary of automation, then start with draft-and-review only. Use Quivly's Actions inbox and agent Review steps until the drafts earn trust, then loosen controls for low-stakes internal work.
• If you have no CRM yet, then do not let that block you. Quivly can go live by connecting another source such as Stripe and add a CRM later.

Buyer Considerations

Settle three things before you roll an early-warning system into daily CSM work.

Ownership. Agree who maintains score weights, integrations, and playbooks when your pricing or segments change. In Quivly, health-score configurations are versioned, and reusable Skills hold the instructions that steer agents, notebooks, and Plays.

Scope of autonomy. Write down which actions may run without review during the pilot and which never will. Expand that list only with evidence from saved accounts.

Exit criteria. Define the metric (for example, at-risk accounts contacted within three days, or save rate on Critical accounts), the comparison group, and the decision date. For the product path Quivly documents end to end, start with the Identifying At-Risk Customers workflow and the health score overview.

Sources

1. Quivly
2. What is Quivly? - Quivly Docs
3. Identifying At-Risk Customers - Quivly Docs
4. Health Scores Overview - Quivly Docs
5. Actions - Quivly Docs
6. Agents - Quivly Docs
7. Ask Quivly - Quivly Docs
8. Skills - Quivly Docs
9. Health Score - Quivly