More visitors doesn't automatically mean more sales. The number that ultimately matters is how many of them actually opened their wallet.
The top chart is the count, the bottom the rate. If the purple share below does not grow on a high-traffic day, those visits did not reach a purchase. The product UI shown is the Korean build.
What it shows
Purchase conversion reports the purchase conversion rate by gender and age, based on total visitor count against the number who lingered near checkout past a set duration.
If conversion rate varies a lot between corners in the same store, check pricing, display, and how information is presented, corner by corner.
When to use it
Use it to verify sales strategy and marketing impact by tracking how purchase rate shifts across periods and time slots.
A worked example
Here's an example. Say the wine corner converts at 10 percent while the beer corner converts at 30 percent. That gap, inside the same store, is grounds to check pricing, display, and information delivery corner by corner, and improve the weaker one first.
Which features to read it with
One feature alone rarely gets you to the cause. The pattern that repeats is: overlay a second feature to narrow the cause, act, then re-measure with a third.
- Measure — Overlay the low-converting corner with funnel analysis to find whether it broke at visit, exposure, or pickup.
- Act — Start with the stage where it broke.
- Verify — Use segment comparison to see which group actually improved.
Differences in conversion by gender and age tell you who to target in the next campaign. To break group differences down further at the zone level, continue with segment comparison. Check out purchase conversion in saai insight.
