Churn Risk Detection

Overview

Churn doesn't happen on renewal day. It happens the week a customer stops logging in, stops attending onboarding calls, or drops usage by 40% month-over-month. By then, your success team is playing catch-up. This workflow runs every Monday morning and does three things: 1. **Pulls usage and engagement signals** from your product (login frequency, feature adoption, support ticket sentiment, NPS drop). You define the thresholds—a SaaS might flag "no login in 14 days" while a marketplace flags "zero transactions in 30 days." 2. **Scores each at-risk account** on a simple scale (high/medium/low risk) and surfaces the top 10–15 accounts that week. This prevents alert fatigue. Your success team gets a focused list, not a firehose. 3. **Creates a task for the account owner** with a suggested outreach template, recent activity summary, and a link to the customer's dashboard. The task includes a human approval gate: the success lead reviews the list before any outreach goes out, catching false positives and adding context. The workflow lives in your task management tool (Slack, Linear, Asana) and pulls data from your product analytics, CRM, and billing system. It doesn't send emails automatically—it surfaces the signal and lets humans decide the tone and timing. **Why this matters:** Churn is a leading indicator problem, not a lagging one. The companies that win at retention catch the signal early, when a conversation can still flip the outcome. This workflow turns a manual, ad-hoc process ("Hey, did anyone notice Company X hasn't logged in?") into a repeatable, weekly ritual that your team can trust.

Flow

Trigger: Weekly schedule: Every Monday at 8:00 AM (or your team's start time). Can also be triggered manually if a customer reports an issue.

1. 1
   Trigger

   Weekly schedule fires

2. 2
   Integration

   Pull usage + support + billing

3. 3
   Action

   Apply risk heuristics

4. 4
   Condition

   Above threshold?

5. 5
   Action

   Create CS task + brief

6. 6
   Approval

   Owner reviews outreach

7. 7
   Integration

   Log outcome in CRM

Setup instructions

1. **Define your churn signals.** Work with your product and success teams to list 4–6 signals that predict churn in your business. Examples: login frequency drop, feature adoption stall, support ticket spike, NPS decline, billing cycle change. Assign a weight to each (e.g., "no login in 14 days" = 30 points, "support tickets up 50%" = 20 points). 2. **Connect your data sources.** Use an automation platform (Zapier, Make, n8n) or a custom script to pull data from your product analytics (Amplitude, Mixpanel), CRM (Salesforce, HubSpot), and billing system (Stripe, Zuora). If you lack product analytics, start with billing and support data. 3. **Build the scoring logic.** Create a simple formula that sums your signals and ranks accounts. Aim for a score of 0–100. Flag anything above 60 as "high risk" and 40–60 as "medium risk." 4. **Set up the output.** Create a task template in your task management tool with fields for: customer name, risk score, top 3 signals, suggested outreach angle, and a link to the customer's account. Keep it to one screen—your success team won't read a novel. 5. **Add the approval gate.** Route the weekly list to your success lead or VP of Customer Success for a 15-minute review before tasks are assigned. This catches scoring errors and prevents outreach to customers already in a renewal conversation. 6. **Test with one cohort.** Run the workflow for two weeks on a subset of customers (e.g., your top 50 accounts). Measure how many flagged customers actually churn vs. how many you save. Refine your thresholds based on results.

Failure cases

• False positives from seasonal patterns: A SaaS flags a customer as high-risk because they're in their annual planning month and haven't logged in for 10 days. Solution: Exclude known quiet periods (e.g., December holidays, budget freeze months) from your scoring logic.
• Approval gate becomes a bottleneck: The success lead reviews the list on Friday instead of Monday, and by then the outreach window has closed. Solution: Set a hard SLA (review within 4 hours) and escalate to a backup approver if the lead is unavailable.
• Signals are too noisy: You flag 40 accounts per week, your team can only reach out to 5, and the rest churn anyway. Solution: Tighten your thresholds and focus on accounts with the highest ARR or lowest churn cost to save.
• Data is stale: Your product analytics lag by 24 hours, so the workflow flags a customer as inactive when they actually logged in yesterday. Solution: Use real-time event streams (webhooks, Kafka) instead of batch pulls. If that's not feasible, add a manual override in the task ("Did you see activity after this report?").
• Outreach template is generic: Success team ignores the suggested message because it doesn't match the customer's context. Solution: Personalize the template with the customer's use case, recent support tickets, or feature gaps they've mentioned.