Your customer list is worth more than your next window display
Attracting a new customer costs several times what it costs to bring a past one back. You still need to know which ones to contact.
Opportunities detected last night
ExampleM. Exemple
41% past the usual 45-day rhythm
€45
62% chance
Mme Modèle
Booked the same service three times, never the next one
€75
38% chance
Comptoir Démo
Business account: orders down for the past 2 months
€480
44% chance
Expected value across these three lines
€268
What costs you most, and nobody sees
- A customer list that serves no purpose
- Customers who left without anyone noticing
- Peak periods improvised every year
Three levers, tuned to your trade
Win back lapsed customers
The normal return interval is calculated from your own data; beyond it, the customer becomes an opportunity.
Sell the next product
The purchase sequences observed in your shop feed the suggestions — never a theoretical catalogue.
Prepare the peak periods
Last year's purchases become this year's follow-up list.
The starting return interval for this trade is 45 days, or roughly 6 weeks. It is then recalculated from your real data, customer by customer.
The sums, assumptions on show
No customer is quoted here. This is arithmetic you can redo with your own numbers: swap the assumptions for yours and the reasoning still holds.
- 1,200 customers on file
- 3% won back each quarter
- Average spend of €60
36 × €60 × 4 = €8,640 a year from an existing customer list.
A different trade?
Your next customers are already in your sales history.
Connect your data and look at the list. The analysis is free, and nothing is sent without your say-so.