Audit intermediate Works with: Any AI

Email List Hygiene Audit

Table output

Decide who to keep, suppress and re-confirm.

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[VERIFY] is an editorial flag, not a blank to fill. Wherever the prompt shows [VERIFY], check that item against a reliable source before you use it.

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Audit my email list. List segments with size, signup date, last open and last click, and source: [LIST_SEGMENTS]. Bounce handling and unsubscribe process: [HYGIENE_PROCESS]. Consent records I hold: [CONSENT_RECORDS].

Propose rules for suppressing hard bounces, inactive addresses and role accounts, a re-engagement step before removal, and a check that unsubscribes are honoured promptly. Identify segments with unclear consent that should not be mailed until resolved.

Return a table with Segment, Risk (red, amber, green), Action and Reason, a score from 1 to 10 for hygiene and consent, and the expected size of the list after cleaning calculated from my numbers. Consent rules are [VERIFY] for [JURISDICTION].

Also add guidance for handling role accounts, typos in domains, spam traps at a general level, and addresses collected at events, and a policy for how long consent records are kept. Suggest an annual review in the calendar.

Then plan the cleaning operation and the ongoing prevention steps. Describe the sequence: export and back up, segment by engagement and source, remove hard bounces and known problem addresses, send a re-confirmation to uncertain segments, apply suppression, and import clean data. Provide a timeline with checkpoints and the numbers to record before and after, including bounce rate, complaint rate and engagement. Write the re-confirmation message in under 90 words with a single clear button. Specify signup protections such as confirmation of address, bot detection and typo suggestions, and a monthly maintenance routine. Create a data retention rule for inactive contacts and a log of consent evidence. Add a section on what to tell the team about sending patterns while the list is being cleaned. Consent and retention rules are [VERIFY] for [JURISDICTION], and deliverability results are not guaranteed.

Respect the audience: no targeting based on sensitive characteristics, and flag any segment or message that could exclude or mislead people. Tag ad policy points [VERIFY] with the platform.

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