Audit advanced Works with: Any AI

Email List Hygiene Audit From Signup Source and Bounce Data

Table output Has example

Analyse your list export and bounce reports by signup source to find risky addresses, old imports and sources that damage deliverability.

The Open buttons send the prompt text as currently shown below to that site only when you click. Fill in the placeholders first.

[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.

Please audit the health of my email list using an export and bounce data that I paste. I want to find which signup sources produce risky addresses and which segments should be re-confirmed or paused. Mark tool-specific points [VERIFY] and legal points [VERIFY]. Do not suggest buying lists or scraping addresses.

Inputs: counts by signup source (form, event, import, purchase, referral) with dates [SOURCE_COUNTS], bounce and complaint counts by source for the last [PERIOD] [BOUNCE_COMPLAINT_COUNTS], the share of subscribers who have not opened or clicked in 6 months, if my tool shows it [INACTIVE_COUNT], a sample of 30 anonymised addresses showing patterns only (for example role accounts like info@ or obvious typos) [SAMPLE_PATTERNS], and my consent records, described [CONSENT_RECORDS].

Produce: (1) a source table with columns Source, Subscribers, Hard bounces, Bounce rate, Complaints, Complaint rate, Inactive share, Consent record?, Risk, Action, showing the arithmetic for rates; (2) a ranking of sources by risk; (3) address pattern issues in the sample, such as typos in common domains, role accounts and disposable-looking domains; (4) a re-engagement plan for inactive people, with a three-email sequence outline and a sunset rule; (5) a list policy of eight lines about imports, bounces, complaints and removals; (6) a monthly hygiene routine of five steps.

Guardrails: do not delete anyone; propose segments to review. Do not invent thresholds or benchmark numbers; if you give any rule of thumb, label it [VERIFY]. Not legal advice.

Add a worked example with invented figures: an "event import" source of 1,500 addresses with 90 hard bounces. Show 6 percent and why it ranks first.

Fill in before use

Optional: type your details and the prompt above updates. Nothing is saved or sent.

Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.

Source table (invented)
Website form: 4,200 subscribers, 42 hard bounces = 1.0 percent (42 / 4,200). 5 complaints = 0.12 percent. Consent record: yes. Risk: Low.
Event import: 1,500 subscribers, 90 hard bounces = 6.0 percent (90 / 1,500). 14 complaints = 0.93 percent. Consent record: partial (sign-in sheet only). Risk: High.
Ranking: 1. Event import, 2. Website form.
Action for the event import: pause sending to this segment, send one re-confirmation email asking people to opt in, and remove anyone who does not respond after the agreed period.
Pattern in sample: 4 of 30 addresses end in gmial.com or hotmial.com, probably typos.
[VERIFY WITH YOUR EMAIL TOOL'S GUIDANCE] before changing sending practice.

• worksheet