Catch churn before it bites.
Alex monitors usage signals, sentiment, and relationship health continuously — surfaces at-risk accounts weeks before renewal, with a recovery playbook ready.
Churn signals build for weeks before anyone notices.
You’re not preventing churn — you’re receiving it.
Champion goes silent. Logins drop. Sentiment turns. By the time the renewal email goes out, the customer’s often already decided. You’re not preventing churn — you’re receiving it. The signals were there; nobody was watching.
- Reactive renewal motionWhen churn surfaces only at renewal, it's often too late to recover the relationship.
- Signals scattered across systemsUsage data in product DB, sentiment in tickets, contact changes in CRM. No one's correlating them.
- No standardised health scoreWithout a continuous health rollup, prioritisation falls to gut feel. Wrong accounts get attention.
- Surprise churn = lost ARREach surprise churn = wasted CS time + lost ARR + damaged trust with finance forecasting.
Alex monitors every account continuously — flags risk, proposes recovery.
Usage + sentiment + contact + product signals correlated into one health score, refreshed daily.
- 01Step 1
Ingest signals
Usage data, ticket sentiment, CRM activity, contact changes, billing patterns — Alex reads them all.
- 02Step 2
Score continuously
Per-account health score updated daily. Red flags surface in real time, not at quarterly review.
- 03Step 3
Flag the at-risk
Accounts crossing risk thresholds surface to your CSM team with the specific signal that triggered.
- 04Step 4
Propose recovery
Alex drafts a recovery touchpoint: which contact to reach, what angle, what evidence to bring.
What Alex monitors
Every signal correlated into one continuous health rollup — refreshed daily, action-ready.
Login frequency, feature engagement, seat utilisation — Alex spots downshift early.
Ticket tone, email replies, NPS, CSAT — Alex correlates sentiment trend per account.
Champion left? Exec sponsor changed roles? Buying committee shrunk? Alex flags it.
Daily-refreshed score per account with explanation: "score dropped from 86 to 42 because X, Y, Z."
When risk hits threshold, Alex drafts a specific recovery action — not just an alert.
At-risk accounts route to the assigned CSM with full context + suggested play.
Continuous account health rollup with risk pills + signal explanations — Alex refreshes daily.
Illustrative — real screenshots replacing these as customers go live.
What Alex changes about the churn motion
From reactive renewal scrambles to continuous, signal-driven monitoring.
Common questions
- What signals does Alex actually monitor?
- Usage telemetry (logins, feature engagement, seat utilisation), ticket sentiment + volume, CRM contact health (champion stability, sponsor changes), product engagement, billing patterns, and any custom signals you can pipe via webhook.
- How is the health score calculated?
- Weighted multi-signal model that learns from your actual churn outcomes. Initial weights are sensible defaults; over time Alex tunes weights per your data.
- What does "propose recovery" look like?
- When an account crosses risk threshold, Alex drafts a specific touch — which contact to reach, what angle, what evidence (usage data, recent feedback). Your CSM approves + sends, or escalates.
- Can Alex auto-execute recovery touches?
- Default to suggest mode — Alex drafts, CSM approves. For lower-risk recovery (e.g., "send a check-in to a healthy-trending account"), you can promote to autopilot.
- How does this work with my existing CS tools?
- Alex reads from your CRM + helpdesk + product telemetry sources via native + webhook integrations. Doesn't replace your CS platform; augments it with continuous monitoring + recovery drafting.
Stop receiving churn. Start preventing it.
Alex monitors every account continuously, surfaces risk early, drafts the recovery play — your CSMs have time to actually save the relationship.