Study first
Review the ideas behind the questions
Review the controls behind advanced lifecycle offers, save flows, and reactivation work. Focus on consent, preference history, profile risk, and cancellation trust before a campaign tries to keep or win back a customer.
Keep Offer Consent Defensible
Subscription and save offers need clear terms before the customer is charged. A lifecycle team should review the offer, consent, and cancellation route before counting saved customers.
- Negative options bill customers unless they cancel, so unclear billing or cancellation terms create risk.
- Subscription sign-up must make material terms clear and obtain express informed consent before charging.
- ROSCA covers online negative-option charges and requires clear material terms and express informed consent.
In Practice
Do Not Hide The Save Terms
A discount or pause offer should not make the charge, deadline, frequency, or cancellation route harder to understand.
Consent Is Not A Reporting Shortcut
Saved-customer reporting should not count customers who stayed only because the cancellation route was unclear.
Common mistakes
Treating a higher save rate as success after adding confusing extra cancellation steps.
Check whether the flow still gives clear terms, informed consent, and simple cancellation before using the save rate.
Q&A
Can a save offer ask customers to choose a lower plan?
Yes, but the terms and cancellation route still need to be clear before the customer is charged.
What makes a negative-option report risky?
It is risky when it counts retained customers without checking whether people understood billing and could cancel easily.
Respect The Latest Preference Signal
Reactivation work often uses old lists and old customer value. Direct-marketing objections and suppression records can override a tempting segment.
- If someone objects to direct marketing, the organisation must stop using their personal information for that purpose.
- Suppression lists should keep enough information to prevent future marketing after an objection.
- Direct-marketing data should be accurate, current enough for the purpose, and reviewed against retention periods.
In Practice
Preference Beats Value
A high-value customer can still be ineligible for reactivation if their latest preference blocks direct marketing.
Keep Suppression Minimal
Suppression records should prevent future marketing, not become a new targeting profile.
Common mistakes
Deleting opt-out records and then using a purchased list because the old customer looked valuable.
Keep a minimal suppression record and check new lists against it before outreach.
Q&A
Can the team ask an objected customer to rejoin marketing later?
No, a later direct-marketing contact asking them to change their mind would still use information for the objected purpose.
Review Profile And Harm Risk
Lifecycle prediction can make messages more relevant, but it can also exclude people unfairly or use sensitive data without enough consent. Advanced governance looks at fairness, special category data, and automated-decision impact before scaling.
- Direct-marketing profiling can create harm, including stereotyping or discrimination, if assumptions are not controlled.
- Using special category data for direct-marketing profiling is likely to need explicit consent.
- Solely automated significant decisions need extra review because they can affect people's choices in important ways.
In Practice
Check Exclusion, Not Only Targeting
A model that withholds useful renewal offers from a vulnerable group needs fairness and impact review before scaling.
Sensitive Signals Need A Higher Bar
Health, religion, political views, and similar data should not slip into lifecycle targeting through inferred profile fields.
Common mistakes
Approving a churn-risk model only because projected revenue is higher.
Review fairness, sensitive-data use, and significant automated effects before broad lifecycle use.
Q&A
Is ordinary ad targeting always a significant automated decision?
No. The key review is whether the decision has a legal or similarly significant effect on people's behaviour or choices.
What should happen before using sensitive traits in a reactivation model?
Check whether explicit consent and a separate clear request are needed before using the data.