SALES
Stalled-Trial Re-Engagement Sequence
Detects trial accounts whose usage has gone silent for several days, scores how far they got before stalling.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily scan for stalled trials
- ActionQuery trials silent for N daysPostgres
- LogicBucket by last-reached stage
- ActionSelect stage-matched email copy
- OutputSend re-engagement emailGmail
- ActionLog attempt and stagePostgres
What it does
Finds trials that started strong then went quiet, classifies how deep they got before stalling, and sends a recovery email matched to their drop-off stage to pull them back in.
When to use it
Use this to catch the silent majority of trials that abandon mid-evaluation. Instead of a generic "come back" blast, it tailors the message to whether they stalled at setup, at first value, or near the paywall, which lifts re-engagement meaningfully.
How it works
- 1A daily schedule kicks off the scan.
- 2Postgres returns trial accounts with no usage events in the last N days but at least one event historically.
- 3A logic branch buckets each account by last-reached stage: setup, activated, or power-user.
- 4An action selects the matching email copy and personalization tokens for that bucket.
- 5Gmail delivers the stage-specific re-engagement email.
- 6The flow records the attempt and stage in Postgres for reporting and to cap re-engagement frequency.
Set it up
What you configure once, before turning it on.
- 1Connect PostgresAny Postgres URL — query, write, migrate.
- 2Connect GmailRead, draft, send, label.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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