RetailStats.com makes retail statistics readable: conversion rate, basket size, sell-through, footfall, and the formulas behind each metric stores live by.
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What Retail Stats Does
Makes retail statistics readable: the metrics stores live by, how to calculate them, and what good numbers look like for different store types.
Conversion rate, average transaction value, units per transaction — the formulas and what moves each one.
Counting visitors honestly, reading hourly patterns, and matching staff rotas to real traffic.
Sell-through, stock turn, weeks of cover, and the shrinkage math behind a healthy stockroom.
Sales per square foot or metre, by category and by fixture — the statistic landlords and merchandisers argue over.
Reading year-on-year comparisons properly: like-for-like sales, calendar shifts, and weather effects.
What typical numbers look like for grocery, fashion, specialty, and convenience formats, with sources cited.
How Retail Stats Works
Each metric page gives the calculation, a worked example, and the common ways stores get it wrong.
Pull a week of till data and compute your own numbers using the step-by-step worksheets.
Set your figures against the benchmarks for your format and pick the one gap worth closing first.
About
RetailStats — Retail, measured Part of the VentureOS network of 20,000+ smart entities, each built to create real value in its vertical. Backed by 63+ specialist agents, shared infrastructure, and a unified economy.
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Partners respond. Transparent pricing. No surprises.
Conversion rate and average transaction value — together they explain almost every good or bad week, and both can be tracked from the till without special equipment.
Published industry reports and trade-body data, always cited. Where no reliable public figure exists, the guide says so rather than inventing one.
No — most metrics here can be calculated from receipts and a stock count. Guides note when software starts paying for itself.
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