V-Count Blog

A Reader's Guide to the V-Count Blog

The blog covers people counting, retail analytics and visitor insights. This guide groups the main topics, so you can find the right article for your question. Each group lists a few good places to start.

New to people counting? Start here

If you are just starting out, learn the basics first: what a counter measures, how the main technologies differ, and how to test a setup at your own site.

• What Is a People Counter? explains the main counter types, how they work and what to check when buying.
• Retail People Counting and Foot Traffic Analytics covers choosing a setup, validating it and linking traffic data to decisions.
• People Counting Technologies gives an overview of the different approaches.
• People Counting Camera: 7 Retail Decisions shows the kinds of decisions counting data can support.

Outside the store: storefronts and capture rate

These articles focus on the street. They explain how to count passers-by and entries, and how to test a window display.

• Storefront Counting and Capture Rate covers counting rules, sensor coverage and how capture rate differs from purchase conversion.
• Storefront A/B Testing explains how to compare window displays by their effect on entries.

Inside the store: zones, heatmaps and layout

Entrance counts show how many people came in. These articles look at what happened next.

• Store Heatmaps and Zone Analytics introduces zone data and how it relates to conversion.
• Retail Heatmap Analytics with Nano Prime covers choosing a heatmap tool, validating zone coverage and linking movement to POS results.
• How to Reorganise Your Shop is a step-by-step guide to finding dead zones and measuring each change.
• Fitting Room Analytics looks at try-on demand and how to run a focused service trial.

Performance, staffing and opening hours

These articles connect traffic with sales and labour. They are useful for store managers and finance teams.

• Retail Store Productivity Scorecard compares visitor demand, conversion and labour-hour productivity, and introduces the AI Sales Coach in BoostBI.
• Retail Opening Hours: More Sales or Just More Cost? shows how to test longer trading hours with footfall, margins and costs.
• Ways to Increase Profit Margins in Retail discusses margin levers for retail businesses.

Data, software and integrations

For IT, data and head-office teams choosing or joining up systems:

• Retail Analytics Software: A Requirements Matrix helps you compare data sources, POS integration, reporting and total cost.
• Retail Intelligence Platforms explains how footfall, POS and operations data fit together.
• Computer Vision in Retail describes how Nano AI, Nano Prime and BoostBI turn store activity into shopper analytics.
• How to Measure Your Omnichannel ROI looks at linking online and offline activity.

Demographics and queues

• How Gender and Age Recognition Works in Retail explains how demographic estimates are produced.
• Queue Management in Supermarkets covers key points for managing checkout queues.

Malls, venues and buildings

• Shopping Mall Foot Traffic Analytics covers visitor flow, live occupancy and tenant performance.
• Museums and Libraries and Visitor Analytics looks at how cultural venues use visitor data.
• Smart Buildings: Cafeterias, Cafés and Restrooms covers real-time visibility of shared spaces.
• Grand Opening Ideas for Shopping Malls and Grand Opening Ideas for Retail Stores share ideas for launch events.

Outdoor, transport and hospitality

• Outdoor People Counting: How It Works covers streets, parks, festivals, terraces and transit stops.
• Nano Outdoor and Outdoor Foot Traffic introduces outdoor counting with Nano Outdoor.
• Automatic Passenger Counting Systems looks at counting on buses and trains.
• How to Grow Restaurant Sales offers tips for restaurant operators.

Suggested reading paths by role

• Store or area manager: start with the productivity scorecard, then read about opening hours and shop layout.
• Marketing or visual merchandising: read the capture rate guide, then storefront A/B testing.
• IT or data team: begin with the requirements matrix, then the article on retail data stacks.
• Mall or venue operator: read mall foot traffic analytics, then outdoor counting.
• First-time buyer: start with what a people counter is, then the retail counting guide.

Key terms you will meet

• Footfall: the number of people entering a space.
• Eligible visit: an entry that counts as a customer visit after exclusions, such as staff.
• Dwell: how long visitors stay in a zone.
• Revenue per visitor: net sales ÷ eligible visits. It is not the same as conversion.
• Sales per labour hour: net sales ÷ paid labour hours.
• Occupancy: the number of people inside at a moment. It needs coverage of all relevant entrances and exits.

How to get the most from each article

1. Start with your question. Pick the group above that matches the decision you face.
2. Note the definitions. Many articles use conversion and capture rate. Conversion rate = eligible purchase transactions ÷ eligible store visits × 100. Storefront capture rate = eligible entries from a defined passing stream ÷ eligible passing traffic × 100.
3. Look for the method. The most useful ideas come with a way to test them at your own site.
4. Test before you roll out. Compare equivalent periods and note promotions, weather and opening hours. A before-and-after change does not prove cause on its own.
5. Keep your own notes. Record what you tried, when, and what the data showed.
6. Share with your team. Agree common definitions before people start comparing numbers from different reports.
7. Check the date. Each article shows when it was published. Product details can change, so confirm current specifications with V-Count.

A note on numbers in articles

Some articles include worked examples and planning scenarios. Treat them as illustrations of a method, not as forecasts for your business. Your own results depend on your sites, your data and how you run each test. The safest approach is to take the method, apply it to your own validated counts, and compare equivalent periods.

Where to go after reading

For product details, see products and solutions. To discuss your own site, request a demo. New articles appear at the top of this page, and older ones are on the following pages.