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Footfall Conversion Rate Calculator

Work out footfall conversion rate instantly with clear inputs, formula shown and shareable results.

About Footfall Conversion Rate Calculator

Conversion rate is transactions divided by visitors, and it is the single most improvable retail metric because it responds directly to staffing and availability. Sales per visitor combines conversion and basket value into the figure that actually drives store revenue.

Formulas

Conversion rate

Conversion % = Transactions / Visitors x 100

Sales per visitor

Sales per visitor = Transactions x Average transaction value / Visitors

Worked example

With the default values below, Footfall Conversion Rate Calculator returns Footfall conversion rate of 15.00%. Change any input above and every figure here is recalculated in your browser.

Inputs used

Store visitors
14,200
Transactions completed
2,130
Average transaction value
1,850
Staff hours in the period
620

Results

Footfall conversion rate
15.00%
Sales per visitor
$277.50
Sales per staff hour
$6,355.65
Visitors per staff hour
22.9

Step by step

  1. 1Values used
  2. 2Conversion rate
  3. 3Sales per visitor
  4. 4Footfall conversion rate= 15.00
  5. 5Sales per visitor= 277.50
  6. 6Sales per staff hour= 6,355.65
  7. 7Visitors per staff hour= 22.9

Assumptions and limits

  • The result is derived only from the 4 inputs listed above. Anything not among them is not part of the calculation.
  • In particular, this calculator does not take inflation, tax or fees or charges into account.
  • Figures are rounded for display to 2 decimal places, so totals built from several rounded parts can differ slightly from the unrounded arithmetic.

How these calculators are built and tested is described on the Methodology page. If a figure looks wrong, please report it.

Frequently Asked Questions

What conversion rate is good?

Highly category-dependent: 15-25% for fashion, 40-60% for convenience, and above 90% for pharmacy and grocery where visits are purposeful.

Why does conversion fall at peak hours?

Because queueing and staff availability constrain service. Comparing conversion against visitors per staff hour usually reveals the staffing gap.

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