Subscription Churn Predictor

Ask Joy to scan your upcoming renewals and get a written read with an inline chart: which subscriptions are at risk, the usage and engagement signals behind each, and where to focus first.

Per Account Managers Customer Success Revenue Leaders RevOps
Prompt di esempio per l'assistente Joy

Analyze our [segment] subscriptions renewing in [window] and flag the ones at risk of churn (the usage and engagement signals behind each) so I know where to focus.

Ecco come può apparire

Un esempio illustrativo: il tuo risultato dipenderà dalle tue fonti, dai tuoi dati e dalle tue richieste.

Analyze our SMB subscriptions renewing in the next 90 days and flag the ones at risk of churn (the usage and engagement signals behind each) so I know where to focus.

I read the SMB accounts renewing in the next 90 days, $1.4M of ARR across the book. Most looks healthy, but 11% is showing real churn signals, and that slice is where your quarter is exposed.

Of the $1.4M renewing, roughly $952K looks healthy, $294K is worth watching, and $154K is genuinely at risk across seven accounts. That at-risk 11% is where the usage and engagement signals are stacking up.

$1.4Mrenewing
Healthy68% · $952K
Watch21% · $294K
At risk11% · $154K

The $154K at-risk slice is seven accounts. Three carry most of the exposure and share a clear pattern:

  • Harbor Freight Co: $42K. Logins down 60% over the last quarter and only 8 of 25 seats active. The signal is adoption stalling: the team never fully rolled it out.
  • Pinewood Studios: $38K. Two support escalations unresolved to their satisfaction and no QBR attended this year. This one's a relationship risk, not a usage one.
  • Alder & Co: $31K. Their executive sponsor left last month and the replacement hasn't logged in. Sponsor loss is the single strongest churn signal in your history.

The read: the watch tier is mostly light usage that a nudge can fix, but the $154K at-risk band needs real intervention now, and it splits cleanly. Harbor Freight is an adoption problem, Pinewood a support-relationship problem, and Alder a sponsor problem, each needs a different save play, and all three are still inside the window to act.

Want me to draft the re-engagement outreach for these three, or run the same read weighted by ARR across your whole book?

From renewal book to a ranked risk read

Subscription Churn Predictor reads the usage and engagement behind your upcoming renewals when you ask (login trends, seat utilization, support history, sponsor changes) and gives you a written analysis with one clear chart. It ranks the renewal book by risk and explains the signals behind each at-risk account.

  1. Connect your data

    Point Joy at your usage analytics, CRM, and support data so it can read the signals behind each subscription at ask time.

  2. Ask about a segment

    Name the segment and the renewal window (SMB renewing in the next 90 days, say) and ask Joy to flag the accounts at risk of churn.

  3. Read the risk and signals

    Get a chart of your renewal book split by risk and a written read on the at-risk accounts, each with the usage and engagement signals behind the flag.

  4. Act on the list

    Copy the read into your renewal planning, and ask Joy to draft outreach for the accounts you want to save based on what tripped each one.

  5. Make it one click for your team

    Save this ask as a custom command on the assistant your team already uses, so anyone can run it in one step.

Personalizzala

Usage Signals

Login frequency, active users, and seat utilization trends that precede a non-renewal.

Engagement Signals

Support escalations, QBR attendance, and sponsor changes that shift an account's risk.

Ranked by Risk

The renewal book sorted so your attention goes to the accounts most likely to churn first.

The Why Behind Each

Every at-risk flag comes with the specific signals that raised it, not just a score.

By Book of Business

Run the read per CSM or AE so each owner sees the at-risk accounts in their own book.

Weighted by Value

Rank risk by ARR so a large shaky account outranks several small ones.

Save-Outreach Draft

Have Joy draft the re-engagement note for an at-risk account from its exact signals.

Expansion Spotting

Flip the lens to surface healthy accounts with signals pointing to an upsell instead.

Frequently Asked Questions

How does AI predict subscription churn?

Joy reads the usage and engagement signals behind your upcoming renewals (login trends, seat utilization, support history, sponsor changes) and weights them against how your accounts have churned before. It ranks the renewal book by risk and explains the signals behind each flag.

What signals mark an account as at risk?

Falling logins, low seat utilization, unresolved support escalations, skipped QBRs, and the loss of an executive sponsor are among the strongest. Joy shows exactly which ones tripped for each account, so the flag is explainable, not a black-box score.

Is this a live monitor that watches accounts continuously?

No. It's an on-demand read you run when planning renewals. Joy reads the signals at that moment and gives you the ranked list; it doesn't run on a schedule or push alerts.

Can Joy help me save an at-risk account?

Yes. Ask and Joy drafts re-engagement outreach for any flagged account, grounded in the specific signals behind its risk. You review and send it yourself. Joy writes the draft, it doesn't contact the customer.

Does Joy change anything in the CRM?

No. Joy reads usage, support, and CRM data to analyze risk. It doesn't update records, change renewal status, or write anything back. You act on the read in your own systems.

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Ready to see churn while there's still time to stop it?

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