Beauty Salon

Reactivating Dormant Customers | How to Generate "Comeback DMs" with AI

New customer acquisition costs are soaring, but your list of "dormant customers" is actually a goldmine. We explain how to use AI to analyze why customers left and automatically generate personalized "Comeback DMs" to bring them back and boost your revenue.

mitsumonoAI

15 Jan 2026 — 5 min read

Tools to Use

File Analysis Assistant
Sensei AI - Beauty Salon / Salon / Esthetics
Email, Review, & DM Response Generator

That Dormant Customer List is a Future "Goldmine"

In modern store management, the cost of acquiring new customers is rising every year. Meanwhile, the "dormant customer list" sitting in your desk drawer or computer folder might actually be your most valuable asset for increasing sales at a low cost.

However, many business owners hit a wall:

"I'm too busy with daily operations to reach out to dormant customers."
"I send out mass DMs, but get almost no response."
"I don't even know the real reason why they stopped coming in the first place."

By reading this article, you will learn a specific, highly reproducible method to solve these problems using AI and turn your dormant customer list into a profit-generating asset.

AI Becomes Your "Customer Analysis Team" and "Marketer"

To solve this challenge, mitsumonoAI links multiple AI assistants. It’s like hiring a top-tier analysis team and a marketer at the same time, allowing for a strategic approach.

File Analysis Assistant:
Reads your dormant customer list (CSV, etc.) and objectively analyzes the root cause of "why customers left" based on the data.
Sensei AI - Hair & Beauty Salons:
Based on the analysis, this AI uses industry knowledge to plan a strategic direction—essentially asking, "What kind of message will resonate?"
Email, Review, & DM Response Generator:
Creates heartfelt, personalized "Comeback DM" copy tailored to each individual customer based on the planned strategy.

By linking these three AIs, you can run the marketing PDCA cycle—Analysis → Strategy → Execution—with incredible speed and precision.

Step-by-Step: Practicing the "Comeback DM" Strategy with AI

Let’s look at the three-step process to reawaken your dormant customers.

Step 1: [File Analysis Assistant] Thoroughly Analyzing "Exit Reasons" with AI

First, upload your dormant customer list (Excel or CSV). If you have a column for "Reason for Leaving" or past survey results, the AI can provide an even more accurate analysis.

[AI Instruction Example]
"Analyze the uploaded dormant customer list and tell me the top three reasons for customer exit and the average spend of customers who left for each reason."

This analysis reveals facts that are difficult to see through intuition alone, such as the fact that "the thing that has the greatest impact on sales is the high-value customers who left due to the 'retirement of the sales representative.'"

Step 2: [Sensei AI] Devising Approaches Based on Why They Left

Next, use the analysis results to brainstorm a strategy with the AI to determine what messages will stick.

[AI Instruction Example]
"Please propose three effective message concepts that convey added value other than price reductions to our store's dormant customers who have left due to the 'retirement of a sales representative.'"

The AI will leverage industry expertise to suggest value-driven approaches rather than simple price-cutting.

Step 3: [Email, Review, & DM Response Generator] Automatically Generating Personalized "Comeback DMs"

Combine the "target segment" from Step 1 with the "message axis" from Step 2 to have the AI automatically generate DM copy tailored to each customer.

Here are specific input examples for three different message axes:

Input Example 1: Encouraging Re-visits with a "Limited Special Experience"

Goal:
Provide a unique experience rather than a simple discount to make the customer feel valued.

Input Example 2: Encouraging Re-visits by "Strengthening Trust"

Goal:
Tell customers who drifted away after a staff member's resignation that the new team provides the same quality and peace of mind.

Input Example 3: Encouraging Re-visits by "Providing Continuous Value"

Goal:
Propose a new membership system to customers who felt the "price was too high," showing how it becomes more cost-effective in the long run.

By giving the AI instructions based on customer segments and goals, you can efficiently create messages with much higher open and response rates than generic mass emails.

Application & Expansion: Toward a Future of Deeper Bonds and Maximized LTV*1

Once this Comeback DM strategy succeeds, you can expand those results further:

Special Measures for Top Customers:
List those who responded best to the Comeback DM as "Royal Customer Candidates." Work with Sensei AI to plan exclusive events or early previews of new menus for them.
Application to New Customers:
Analyze which messages resonated in the Comeback DMs and apply those trends to LINE registration benefits for new customers or talk scripts for initial consultations to improve your repeat rate.

*1 LTV: Lifetime Value. The total amount of money a customer is expected to spend at your business during their entire relationship with you.

Summary

This article introduced the specific steps to use AI to reawaken "dormant customers" and turn them back into "loyal customers."

There is always a reason why a customer leaves. We might have overlooked those "subtle signs" in our daily busyness. AI deciphers those signs buried in the data and helps us reshape our communication so our message reaches the customer again.

AI is not just a tool for efficiency. It is a reliable partner for facing each customer sincerely and rebuilding broken relationships. Why not deepen the connection with your salon's most precious asset—your customers—together with AI?

mitsumonoAI can be used not only for marketing but also for solving diverse business challenges, improving efficiency, and creating new value.