Retail analytics · Touchpoints
Retail Touchpoint Analytics: Window, Entrance, Zones, Queue, Checkout
Are there any tools or platforms to analyze retail touchpoints?
Yes. V-Count analyzes the physical retail touchpoints in one BoostBI dashboard: the storefront window, the entrance, zones and displays, the queue and the checkout. Each touchpoint has its own V-Count sensor or data source, and BoostBI reports them side by side by hour, day and store.
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Tools to analyze retail touchpoints
V-Count analyzes the physical retail touchpoints in one BoostBI dashboard: Nano Outdoor counts passers-by at the window, Nano AI counts entries at the door, Nano Prime measures zones and displays, queue analytics measure the line, and POS transactions close the loop at the checkout. Each touchpoint has its own sensor or data source, and BoostBI reports them side by side by hour, day and store.
Capture rate and purchase conversion are two different steps. Capture rate is entries ÷ passing traffic × 100: the step from street to door. Purchase conversion is purchase transactions ÷ store visits × 100: the step from visit to till.
Window and storefront
Nano Outdoor counts the people passing your frontage; compared with door counts, it gives the capture rate. See storefront analytics.
Entrance
Nano AI sensors count visitors in and out, with staff excluded. See people counting.
Zones and displays
Nano Prime sensors measure zone visits, dwell time and heatmaps. See heatmap and zone analytics.
Queue
Queue length and wait time, with live alerts while the line is still forming. See queue management.
Checkout
POS transactions joined to visits give conversion rate and sales per visitor. See POS integration.
Live occupancy
VCare shows how many people are inside right now and alerts when a limit is passed. See VCare.
One funnel from the street to the till
BoostBI shows capture rate and purchase conversion next to zone and queue data, so you see where people drop out: a window that does not pull people in, a display that is passed but not engaging, or a queue that grows in the same hours conversion falls.
For a step-by-step method, read measuring retail touchpoints from the street to the till.
Online and in-store touchpoints together
A shopper may research online, walk in, queue, leave and order from home that evening; only the physical part of those retail touchpoints needs hardware.
Online touchpoints stay in your web analytics. BoostBI exports and the REST API let you line them up with store figures by date, site and category, so web figures and physical figures meet in one report.
Nano AI
Precise. All-in-one. Plug & Play.
As the world’s only people counter with machine learning and AI algorithms on the sensor, Nano AI ensures reliable gender and age recognition, and offers an optional, highly accurate staff exclusion system.
Nano AI features in-device processing and active stereo vision for 3D insights without capturing personal details. This feature ensures GDPR compliance while also providing an all-in-one solution for your convenience.
Nano Outdoor
Durable. All-Weather. Plug & Play.
Nano Outdoor is designed to deliver reliable outdoor people counting, entrance tracking, and storefront performance analytics, tailored for malls, transit hubs, and other high-traffic outdoor entrances.
Nano Outdoor stands out with its IP65 weather-resistant, splash-proof design, night vision that works in complete darkness, and a temperature tolerance of -25°C to 60°C.
Learn More – Nano Outdoor People Counter | Outdoor CountingNano Prime
Accurate. Prime. Plug & Play.
Nano Prime offers specialized solutions for in-store heatmap and zone analytics, allowing you to optimize store layouts, strategically place products, refine pricing strategies, and unlock a myriad of benefits.
With Nano Prime, industries like retails, events, and smart buildings can leverage the power of data to enhance business performance, making informed decisions that drive success.
Learn More – Nano PrimeBoostBI
Cloud-Based. Actionable. Anywhere.
BoostBI is V-Count’s cloud-based SaaS analytics platform. Transform raw sensor data into actionable insights, benchmark performance across all your malls or stores, and integrate with your existing tech stack through our open REST API.
Access real-time dashboards, automated reports, and a mobile app from anywhere, with support for 19 languages, so every stakeholder gets the visibility they need.
Learn More – BoostBI Visitor Analytics Software & PlatformHow it works
Every touchpoint reports to the same BoostBI account, measured the same way in every store.
- Sensors at the entrancesNano AI sensors on the ceiling above each entrance count visitors in and out. They process everything on the device and send only anonymous counts, and staff can be kept out of the count.
- BoostBI dashboardsBoostBI reports visits by hour, day, store and region, typically refreshed every 10 minutes, or every minute in real-time mode, on the web and in the mobile app, with a weekly AI Sales Coach for each store.
- POS integrationSales arrive through native Shopify and Nebim connectors, working VendPOS, Nayax, ImagineX and QuickBooks integrations, manual import or the open REST API, so conversion is calculated, not estimated. See people counter POS integration.
Go deeper
- Retail store analyticsThe full in-store analytics layer for physical shops.
- Storefront analyticsPassers-by, entries and capture rate by store.
- Heatmap and zone analyticsZone visits, dwell time and heatmaps with Nano Prime.
- People counter POS integrationJoin visits and transactions for conversion.
- BoostBIOne dashboard for every touchpoint and store.
- Store productivity scorecardSales per visitor, conversion and staff hours.
Frequently Asked Questions
Straight answers about measuring physical stores with V-Count.
Request a demo
Are there any tools or platforms to analyze retail touchpoints?
Yes. V-Count analyzes the physical retail touchpoints in one BoostBI dashboard: storefront and window (passers-by and capture rate from Nano Outdoor), entrance (visits from Nano AI sensors, up to 99% accuracy), zones and displays (dwell time and heatmaps from Nano Prime), queue (length and wait time with live alerts) and checkout (POS transactions joined to visits for conversion rate).
Online touchpoints stay in your web analytics and can be lined up with store data by date, site and category through BoostBI exports or the REST API.
What are retail touchpoints?
Retail touchpoints are the moments where a shopper meets the store. V-Count measures the physical ones: the storefront window, the entrance, zones and displays, the queue and the checkout, each with its own sensor or data source in BoostBI.
How do you measure the storefront touchpoint?
V-Count’s Nano Outdoor, an IP65 weather-resistant sensor rated up to 99% accurate, counts the people passing your frontage, and Nano AI counts the people who walk in. BoostBI divides one by the other to give capture rate by hour, day and store.
How do you measure the checkout touchpoint?
V-Count joins Nano AI visit counts with POS transactions in BoostBI to give conversion rate (eligible purchase transactions ÷ eligible store visits × 100) and sales per visitor. Sales arrive through native Shopify and Nebim connectors, working integrations, manual import or the REST API.
How do you measure zones and displays?
V-Count’s Nano Prime measures zone visits, dwell time, heatmaps and visitor flow on the sales floor. Movement observations show where shoppers travelled or stayed; they do not, alone, establish why, so compare equivalent trading periods before changing a display.
How accurate is retail touchpoint measurement?
V-Count’s Nano AI counts entries with up to 99% accuracy at a defined indoor entrance line, and Nano Outdoor is rated up to 99% accurate outdoors. Nano Prime zone coverage is validated for each installation; check every touchpoint against a manual count before comparing stores.
Can touchpoint analytics run without identifying shoppers?
Yes. V-Count sensors process measurements on the device and send only anonymous counts to BoostBI, not images or identities, and V-Count is ISO 27001 certified.
See every touchpoint, from the street to the till
- capture rate
- store visits
- zone dwell time
- heatmaps
- queue wait time
- conversion rate
- live occupancy