A comeback campaign for lapsed customers
A sample campaign that selects customers who have not booked in a while, sends a short personal offer, sorts the replies and counts bookings against the group.
Demonstration. Built with sample content to show how the system works. Names, messages and data are not from a real client, and no results are claimed.
Business context
A sample auto detailing shop with several years of past customer records. All names, messages and data shown are sample content made for this demonstration.
Starting point and goal
Starting situation: The shop has hundreds of past customers in its booking system. Most booked once or twice and never came back. Nobody has reached out to them.
Goal: Reach the most likely returners with a reason to come back, handle replies quickly, and measure bookings from that group only.
The system
- 1
Segment
Customers with a completed booking 6 to 18 months ago and no booking since are selected. Anyone who opted out is excluded.
- 2
Offer
A seasonal check-in with a modest add-on, rather than a deep discount.
- 3
Messages
One email and one short follow-up a week later, written in the owner's voice.
- 4
Replies
Replies are sorted into interested, question and opt-out. Interested replies get a booking link; questions go to the owner.
- 5
Measure
Bookings and paid jobs from the selected group are counted for 30 days after the first message.
Why a narrow group beats the whole list
Sending to everyone is easy, but it mixes people who just booked with people who left years ago. A narrow, recent-enough group gives a cleaner offer, fewer opt-outs and numbers you can actually read.
The measurement sheet
| Measure | How it is counted |
|---|---|
| Contacted | Customers in the group who were sent the first message |
| Replied | Any reply, sorted by type |
| Booked | Bookings from group members during the period |
| Paid | Bookings that were completed and paid |
Tools and human handoffs
Connects to
- • Booking system export
- • Shared inbox or CRM
Where a person steps in
- • Owner answers questions that need a person.
- • Owner reviews the group and offer before sending.
What this demonstrates
- Shows how to pick a group that is likely to return instead of messaging everyone.
- Shows how replies are sorted so none are missed.
- Shows how to count results from the campaign group only.
Measurement
- Period
- 30 days after the first message (proposed method for a real campaign)
- Method
- Compare bookings from the selected group during the period with the same group's bookings in a comparable earlier period.
- Assumptions
- Seasonality and other promotions running at the same time can affect the comparison.
What a similar business needs
- Past customer records with dates and contact details.
- Permission to contact those customers by the chosen channel.
- Capacity to take the extra bookings.
Keep exploring
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