Storefront Counting & Capture Rate: The Complete Guide

Most people counting conversations start and end at the front door: how many people walked in? But for a street-facing store, the door is only half the story. The other half is everyone who walked past and didn't come in at all — and that's what capture rate measures.

What is capture rate?

Capture rate is the percentage of people passing your storefront who actually enter. It's calculated as:

Capture Rate = (Store Entries ÷ Passersby) × 100

If 2,000 people walk past your shopfront in a day and 140 of them come inside, your capture rate is 7%. On its own that number doesn't mean much — it only becomes useful when you track it over time and compare it against changes you make.

Why capture rate matters more than entry count alone

Two stores can have identical entry counts and completely different stories. Store A might be on a quiet side street with low passerby traffic but a high capture rate, meaning its storefront and offer are genuinely compelling to the few people who walk past. Store B might be on the busiest street in the centre with a low capture rate, meaning thousands of potential customers are walking straight past every day.

Store B has the bigger opportunity: a small improvement in capture rate on a high-passerby street is worth far more in absolute visitor numbers than the same percentage improvement on a quiet one.

What actually moves capture rate

• Window display — what's visible from the street in the first two to three seconds someone walks past.
• Entrance friction — a heavy door, unclear entry point, or steps can quietly cost you entries you'd never notice from entry data alone.
• Time of day and weather — capture rate often varies by hour and conditions, so compare like with like rather than a single daily average.
• Promotions and signage — sale signage or a visible promotion at the door is one of the most direct levers on capture rate.

How to actually measure it

Measuring capture rate requires two separate counts: passersby (people moving past the storefront without necessarily looking at it or entering) and entries (people who actually come inside). This is exactly what our Storefront Analytics solution is built for — a sensor angled to count street traffic alongside your existing entry sensor, feeding both numbers into the same BoostBI report so capture rate is calculated automatically.

What's a "good" capture rate?

It varies enormously by category, location and price point — a destination store people specifically travel to will naturally have a different capture rate to an impulse-purchase kiosk on a busy thoroughfare. Rather than chasing an industry benchmark, the more useful approach is establishing your own baseline and then testing changes — a new window display, a repositioned sign, a different opening display — against that baseline.