Workflow to keep customers when their emotions decrease is a series of automatic reactions when customers show signs of discomfort, boredom or intention to leave — early detection, prioritization of treatment and re-care. Customers leave not because of an incident — but because of an incident that no one handled. Zenify records AI 98.4% accuracy (approved).
TL;DR
- Detect angry/bored customers early.
- Priority is given to processing immediately, do not let it cool.
- Take care again after solving.
- Measure signs of leaving: frequency, emotion.
- Keeping customers is cheaper than finding new customers.
Why do we need a customer retention workflow?
Guests leave quietly: don't complain, just shut up and leave.
Keeping customers is cheaper than finding new customers: Taking care of regular customers is highly effective (see After-sale care).
Early detection = timely rescue: When customers are still interested, they can be pulled back.
Signs that guests are about to leave
Signs | Example
Feeling down | From happy to unpleasant (see Sentiment analysis)
Little interaction | Stop buying, stop texting
Many complaints | Many incidents in a short time
Question termination | "Let me cancel the package"
Late reply | Short, curt answer
How does the customer retention workflow work?
Step | Description
1. Detection | AI reads customer emotions and behavior
2. Warning | Bad signs → management notice
3. Prioritize | Transfer to a good person to handle it immediately
4. Processing | Solve the root problem
5. Re-care | Follow up after 3-7 days
How to design a customer retention workflow
1. Warning threshold
Strong negative emotions → prioritize immediately.
VIP guests have a lower threshold — more sensitive.
2. Đúng người xử lý
Agent good at communication and competent.
Big business → management (see Human-in-the-loop).
3. Treat the root of the problem
Don't just apologize — correct the mistake.
Record lessons in the knowledge base.
4. Care after treatment
Send inquiries after 3-7 days.
VIP guests: call directly.
How to deploy
Definition of leaving signs: according to emotions and behavior.
Detection configuration: AI reads emotions (see Sentiment).
Set priority: customers need to be processed first.
Assign handler + authority.
Measure customer retention rate.