AI taking care of customers who haven't bought in 30 days is a system that identifies customers who have an intention but have not yet closed, sends appropriate messages, advises again and measures the return-to-buy rate. Cold customers have the opportunity to become buyers and not be forgotten. Zenify recorded +21% conversion AI.
TL;DR
- Cold customer = has intention but not yet finalized.
- AI recognizes and sends messages at the right time.
- Content: reminders, incentives, questions.
- Consult again with the reason why the customer was hesitant.
- Measure return to purchase rate.
Who is the "30 days no purchase" customer?
Customers who have interacted but not yet purchased:
Signs | Example
Asked but not finalized | Ask for price then disappear
Go to view products | Watch many times, don't buy
Leave a message | "Let me think" (see Customers ask not to buy)
Used to buy but stopped | Old customers don't come back
Add to cart but remove | Abandoned shopping cart
Why do we need AI to take care of us?
Cold customers are not abandoned customers: they are still interested and need to be reminded at the right time.
Old customers are cheaper than new customers: Taking care of regular customers is cost-effective (see After-sale care).
Don't let the team send by hand: AI classifies and sends to the correct object.
How does AI care work?
Step | Description
1. Identify cold customers | Filter by sign above
2. Classification of reasons | Asked, abandoned cart, old customer
3. Choose appropriate content | Reminders, incentives, questions
4. Send at the right time | Reasonable hours, reasonable intervals
5. Re-consult | Guest answers → WHO continues to talk
6. Measurement | Return to purchase rate, revenue
Content sent to cold customers
Guest type | Matching messages
Asked then disappeared | Wonderfully asked: "What advice do you still need?"
Abandon cart | Reminder + limited time offer
Old customers stopped buying | New product updates
Have been hesitant about the price | Offers or flexible payments
Principles of proper care
No spam: 1-3 messages, spaced days apart, not consecutive.
Personalization: Mention the exact product the customer has viewed.
For reasons to return: offers, new products, not just "I came to support".
Measure, don't guess: response rate, purchase rate.