Your sales history already knows who'll buy again.
Every sale, customer record and stock count is stored. Right now the till tallies the day, the email list sends a newsletter and stock is reordered when shelves look empty. Joined up, they show who your best customers are, what sells together, and where cash is sitting on the shelf.
Run the numbers for your shop.
Enter five figures and every estimate below recalculates for your shop.
That's about $840,000 a year in sales, with about $420,000 kept as gross profit.
Point of sale selected
Point of sale
Discounts that give margin away
Till records show what each promotion did to sales, and what it did to profit. A sale that lifts revenue a little while cutting margin a lot leaves the shop worse off, and the till already knows which ones those were.
What it gets you
- Keep the promotions that pay for themselves
- Drop the discounts that only give margin away
- Plan sales on profit, not just takings
Example data
A normal week against a 20%-off week
A 20%-off week lifted sales by 5% but cut gross profit by a fifth.
Example estimate
+$17ka year
If dropping promotions that don't lift sales saves discounts worth 2% of about $840,000 a year in revenue.
If you acted on all of it
+$177ka year
Some of these overlap, so read this as the ceiling, not a forecast.
- Point of sale+$59k
- Customer list+$48k
- Stock and inventory+$39k
- Online store+$31k
Common problems for retail shops
Customers who buy once
Measure repeat purchase rate and find which first purchases lead to a second.
Lapsed customers
Group customers by how recently, how often and how much they buy, then flag the drifting ones worth a win-back offer.
Small baskets
See which products sell together, so displays and offers lift the average sale.
Stock tying up cash
Separate fast movers from slow movers so reordering follows what customers actually buy.
Customers, clustered by behaviour
Example RFM output: each dot is a customer, plotted by recency and spend. Colour marks the segment they fall into.
Charts on this page use example data, not a real client's numbers.
Book a free consultation
Tell us about your business and the questions on your mind. We'll tell you what your data can answer and whether we're the right fit. No cost and no obligation.