Question 1

How much customer data should a loyalty program collect?

Accepted Answer

Only the information necessary to operate the program, verify qualifying actions, prevent abuse, deliver relevant value and improve the experience for purposes clearly communicated to the customer.

Question 2

Is purchase history acceptable for personalisation?

Accepted Answer

Purchase history can support useful personalisation when the purpose is clear, the information is protected, retention is proportionate and the customer has appropriate choices.

Question 3

Does joining a loyalty program mean agreeing to all marketing?

Accepted Answer

Program participation and ongoing promotional communication should be treated as distinct choices where required. Brands should avoid assuming that one action grants unlimited permission.

Question 4

Can AI be used in loyalty programs?

Accepted Answer

Yes. AI can recommend rewards, identify likely needs, detect fraud and improve program decisions. Brands should understand the inputs, monitor outcomes and avoid predictions that are disproportionate, discriminatory or impossible to explain responsibly.

Question 5

Is first-party data automatically privacy-safe?

Accepted Answer

No. First-party data describes where the information came from. It does not automatically make every collection method, purpose, inference or retention period appropriate.

Question 6

What is the difference between personalisation and surveillance?

Accepted Answer

Personalisation provides a transparent and proportionate customer benefit. Surveillance is the feeling created when collection and inference exceed the customer’s expectations, understanding or control.

Question 7

Should brands stop collecting customer data?

Accepted Answer

No. The objective is not zero data. It is useful, permissioned and accountable data connected with a clear customer or operational purpose.

AI & Loyalty Tag