Day-of-week patterns are the most useful statistical signal in retail. Most owners feel them intuitively but never quantify them. The insight tags do the quantification — and surface the patterns as actionable signals.
01 Are day-of-week patterns actually real?
Almost every brick-and-mortar shop has a pattern: peak days that bring 1.5–2× your weekly average, weak days that bring 0.5–0.7×. The pattern is remarkably stable across months — Saturdays don't randomly become Mondays.
02 When does the peak/weak day tag fire?
Once you have at least 14 days of data, the Insights panel can identify your peak and weak days statistically. A peak day tag shows up when your highest-revenue weekday sits consistently 50%+ above your average; a weak day tag fires when your lowest-revenue weekday is consistently 30%+ below average. Both use median and coefficient of variation to filter outliers, so one busy Tuesday won't flip the result.
- Peak day: the highest-revenue weekday is consistently 50%+ above your average.
- Weak day: the lowest-revenue weekday is consistently 30%+ below your average.
Both calculations use median + coefficient of variation to filter outliers — one busy Tuesday doesn't flip Tuesday into your peak day.
03 What do owners do about peak and weak days?
- Peak day: staff up, prep more, raise the price floor a touch if you can.
- Weak day: reduce staff, consider a half-day, run a focused promotion.
- Both: reset your supply orders to match the rhythm — don't order Sunday quantities for Tuesday.
04 Why are day-of-week patterns so stable?
Day-of-week patterns are driven by customer behaviour — when people grocery shop, when they get lunch, when they socialise. Those behaviours don't change quickly. A shop's peak day might gradually shift over years (commute patterns change, office workdays change) but week-to-week it's stable.
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