Module · Statistics

Know who comes back and when they buy

Cohorts show loyalty month by month, and the timing maps show when buyers actually click "Buy now". Set your packing shifts and ad schedule on facts, not hunches.

Cohorts: who returns after the first purchase

Every acquisition month is a cohort. You see what share of that month's buyers came back in the following months — M+1, M+2 and beyond. The darker the cell, the stronger the return. The most honest loyalty measure there is.

  • 13 months of cohorts with each one's size
  • Return percentage in the following months
  • An intensity scale — patterns pop instantly
  • M+0 = the first-order month
Preview anonymized — you'll see the real pattern on your own data
CohortSizeM+0M+1M+2M+3M+4M+5M+6
2026-08168100%
2026-07356100%2%
2026-06342100%2%1%
2026-05371100%1%2%1%
2026-04402100%2%3%2%1%
2026-03236100%2%3%1%2%1%
2026-02154100%1%2%5%2%2%1%

Retention:≤1%2%3%5%+100%

Order timing by hour of week

A 7-day × 24-hour heatmap shows when buyers click "Buy now" (Warsaw time). Match packing shifts and campaign schedules to the hot spots — and leave the night hours alone.

  • A 7×24 heatmap from 12 months of orders
  • Order totals per day of week
  • Hot spots for ad scheduling
  • Europe/Warsaw time
Preview anonymized — you'll see the real pattern on your own data
000102030405060708091011121314151617181920212223Total
Mon241433101426303136333532293333373431312112525
Tue4131557162332333335323431303534363328239523
Wed6332791325293535323431333232363335302011526
Thu3524411152230313633303229333332343131228511
Fri52421681724283434363330323136353234292410527
Sat241433101425293035323431283232363330302012510
Sun4131557162333343436333532313635373429239536

Intensity: quietpeak

Orders by day of month

Average orders for each day of the month across the last 12 months — normalized: day 31 only occurs ~7 times a year, so the numbers are comparable with day 15. Check whether "after payday" is a pattern or a myth for your store.

  • Average per occurrence, not a raw sum
  • Days 29–31 normalized
  • 12 months of data in one view
Preview anonymized — you'll see the real pattern on your own data
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