AI AGENTS

Usage-drop trigger that launches a retention play

When an account's product usage drops sharply, an agent confirms the decline, picks the right retention play.

CategoryAI Agents
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook fires on a usage-drop eventHTTP webhook
  • ActionFetch billing tier and renewal status from StripeStripeStripe
  • LogicConfirm drop vs. baseline; exit on false alarms
  • LogicSelect the matching retention play
  • ActionFlag risk and log the play on the HubSpot dealHubSpotHubSpot
  • OutputAlert the account owner in Slack with draft outreachSlack

What it does

Listens for a usage-drop event from your product analytics (sent via webhook), confirms the decline is real against historical baselines, and selects a retention play matched to why usage fell. It then drafts a re-engagement offer or check-in and notifies the account owner before the drop hardens into churn.

When to use it

Use it when leading-indicator churn shows up in usage long before the renewal date. Ideal for product-led teams who want to catch silent disengagement the moment it happens rather than at quarterly review.

How it works

  1. 1A webhook from your analytics tool fires when an account crosses a usage-drop threshold.
  2. 2The agent pulls the account's billing tier and renewal status from Stripe to size the response.
  3. 3It compares current vs. baseline usage to rule out false alarms; non-material drops exit early.
  4. 4Based on the signal it selects a play: feature enablement, onboarding nudge, or commercial save offer.
  5. 5It drafts the outreach and updates the HubSpot deal with the risk flag and recommended play.
  6. 6The account owner is alerted in Slack with the draft ready to send.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect StripeCustomers, subscriptions, payments.
  3. 3
    Connect HubSpotCRM, deals, marketing, support.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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