Audit intermediate Works with: Any AI

Mailchimp Unsubscribe and Complaint Root Cause Audit

Table output Has example

• 🐵 Mailchimp

Learn why people leave and what to change.

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.

Audit unsubscribes and complaints. Data per campaign: sent, delivered, unsubscribes, complaints, subject, topic, send day and time, audience segment, and any unsubscribe reasons collected: [UNSUBSCRIBE_DATA].

Calculate the unsubscribe rate (unsubscribes divided by delivered) and complaint rate per campaign and the average: 18 unsubscribes from 3,000 delivered is 0.6 percent. Find patterns by topic, frequency, segment and sign-up source; compare unsubscribe rates for people who joined at checkout, through a competition or from a website form, since the promise made at sign-up shapes expectations. Check that unsubscribe is easy and never hidden, that the sign-up promise matches what is sent, and that frequency suits the audience. Treat unsubscribes as feedback.

Investigate one problem campaign: 3,050 delivered, 33 unsubscribes (1.08 percent) and 4 complaints (0.13 percent), against the previous campaign's 9 unsubscribes of 3,100 (0.29 percent). Read the content, subject, send time and segment, list the differences (offer-heavy, daily sends, new segment), and write a hypothesis and test. Design a preference centre where people choose topics and frequency (weekly digest, offers only, events only) so they can reduce frequency instead of leaving, and add an optional reason question on the unsubscribe page. Plan a two-month test reducing frequency for the highest-unsubscribe segment, comparing unsubscribe and click rates with sample sizes. For complaints: remove the person immediately, review the sign-up source, and do not argue. Any complaint rate needs prompt attention [VERIFY current thresholds]; check menu names against current help pages [VERIFY].

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Invented data. Campaign 1: delivered 3,000, unsubscribes 18 = 0.60 percent. Campaign 2: delivered 3,100, unsubscribes 9 = 0.29 percent. Campaign 3 (promo, daily for a week): delivered 3,050, unsubscribes 33 = 1.08 percent.
Average = (0.60 + 0.29 + 1.08) / 3 = 0.66. Reading: the daily promotions drew more than double the average. Test: send two promotions a week and compare. Action: the promo series is capped at two a week for one month, with the preference centre link added to each; compare unsubscribe rate (target under 0.4 percent) at the end of the month.

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