Store Traffic & Conversion Analytics: Footfall, Conversion, ATV & Staffing
Turn door-counter data into store decisions in a live grid: footfall by hour, conversion, ATV and UPT, a traffic × conversion × ATV bridge, staffing vs conversion with CORREL, best-practice gaps, weather and event effects and a store dashboard, every cell checked as you go.
The first lesson is free — no account needed.
About this course
A store traffic and conversion analytics course that turns the door-counter data of one fictional outdoor-clothing chain with six stores into store decisions in a spreadsheet, for store and area managers, retail analysts and retail management students. You build an average-visitors table by hour and day with AVERAGEIFS and find the Saturday peak, clean door counts into visitors and calculate the conversion rate per store and for the chain, calculate average transaction value, units per transaction and average unit retail, split a sales drop exactly into traffic, conversion and ATV effects, measure visitors per staff member against conversion with CORREL, set a top-quartile conversion benchmark and size each store's sales opportunity, compare rainy days and a street festival like with like and complete a monthly store dashboard with red flags. Illustrative figures. The first lab is free.
Lessons
- Footfall by Hour and Day with AVERAGEIFSFree
- Conversion Rate: Transactions ÷ Visitors Pro
- Average Transaction Value and Units per Transaction Pro
- Sales = Traffic × Conversion × ATV: Explaining a Sales Change Pro
- Staff-to-Traffic Ratio and Conversion by Staffing Level (CORREL) Pro
- Store Comparison and Best-Practice Gaps Pro
- Weather and Event Effects on Traffic and Conversion Pro
- Store Performance Dashboard: KPIs, Chart and Red Flags Pro