MARKETING
Bounce-Rate Spike Detector with Auto-Pause
Checks each active email sequence's rolling bounce rate every hour, and when a sequence crosses your hard-bounce threshold it automatically pauses sending and alerts the growth…
How it runs
The automated pipeline, trigger to output.
- TriggerHourly schedule fires
- ActionQuery bounce rate per active sequencePostgres
- LogicFilter sequences over bounce threshold
- ActionSet offending sequences to pausedPostgres
- OutputAlert deliverability channel in SlackSlack
What it does
This workflow watches the hard-bounce rate of every active outbound sequence and acts the moment one goes bad. Instead of finding out at the end of a campaign that you torched your sender reputation, it pauses the specific sequence within the hour and tells the team exactly which one and why.
When to use it
Run this when you send sequenced cold or lifecycle email and store send/bounce events in Postgres. It is the safety net for list-quality regressions: a stale import, a bad enrichment batch, or a typo-heavy form fill that suddenly spikes invalid addresses.
How it works
1. An hourly schedule fires the check. 2. A Postgres query computes hard-bounce rate per active sequence over the trailing 1,000 sends. 3. A logic step filters to sequences exceeding the configured threshold (default 4%). 4. For each flagged sequence, a Postgres update sets its status to paused so no further sends go out. 5. A Slack message posts the sequence name, bounce rate, sample size, and a pause-confirmation to the deliverability channel. If no sequence breaches the threshold, the run ends silently with no noise.
Set it up
What you configure once, before turning it on.
- 1Connect PostgresAny Postgres URL — query, write, migrate.
- 2Connect SlackChannels, DMs, threads, mentions.
- 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.
More Marketing workflows
Agentic UTM Taxonomy Steward: Detect, Explain, and Propose Fixes
An agent reviews the full backlog of campaign links in Airtable, reasons about taxonomy drift beyond rigid rules, drafts standardized replacements for malformed UTMs.
Slack UTM Check: Paste a Link, Get an Instant Verdict
Lets marketers drop a tracking URL into a Slack channel and get an immediate threaded reply that says whether the UTMs are valid, what is wrong, and a corrected suggestion.
Backlink Outreach Drafter for Verified Mentions
Picks verified, high-authority unlinked mentions from Airtable, drafts a personalized backlink-request email for each.
Source-Authority Verifier for Mention Provenance
Takes a queue of detected brand mentions and runs an agent that verifies whether each source is a legitimate, authoritative publisher versus a scraper or syndication copy.
Unlinked Brand-Mention Detector with Authority Scoring
Scans the web for fresh brand mentions, filters to ones that name you without linking back, scores the publishing domain's authority.
Weekly Brand-Mention Provenance Digest to Notion
Aggregates the week's tracked mentions from Airtable into a single summarized report covering new opportunities, authority distribution, and outreach progress.
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.

Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.
