What is AI customer analysis?
Every bill adds to a customer's purchase history. AI customer analysis uses that history to find out who buys regularly, who hasn't come back for a long time, who only buys during offers, and who is new. Instead of sending everyone the same message, you send each group the message that suits it.
Why does customer segmentation matter?
- The same offer for everyone cuts profit: discounting customers who would have bought anyway reduces your margin.
- At-risk customers leave quietly: without timely contact, they get used to another shop.
- Relevant messages get more response: an offer in a customer's favourite category is more likely to be opened and acted on.
What is the RFM method and how does it work?
RFM is a widely used method for customer analysis. It answers three questions:
| Letter | Meaning | Question |
|---|---|---|
| R | Recency | When did they last buy? |
| F | Frequency | How often do they buy? |
| M | Monetary | How much have they spent in total? |
Each customer is scored on these three, and groups are formed from the scores. AI can add favourite categories, buying times and products bought together to make the groups more accurate.
Which campaign suits which customer group?
| Group | How to spot them | Campaign idea |
|---|---|---|
| VIP customers | Buy often, spend a lot | Early access to new collections, special recognition |
| At-risk | Used to buy regularly, haven't returned in a while | Win-back offer, "we miss you" message |
| New customers | Made a first purchase recently | Welcome message, voucher for the second visit |
| Deal seekers | Mostly buy during sales or festivals | Festival bundle offers |
How do you measure campaign results?
- Open and click rates: how many people opened the message and clicked the link.
- Return rate: how many customers bought again after the campaign.
- Revenue from the campaign: the total value of later purchases by customers who got it.
- A comparison group: leaving a few customers in the same group without the message shows the real effect.
What rules should you follow when using customer data?
- Collect phone numbers or emails with the customer's consent, and give them a way to stop messages.
- Don't collect personal details you don't need.
- Limit access to customer data to the staff who need it.
How does AI customer analysis work in MyPosGPT?
MyPosGPT's AI customer analysis groups customers into VIP, at-risk, new and deal-seeker segments and suggests a suitable campaign for each one. Creating, sending and tracking email campaigns happens on the same platform. See the AI features.
