Best Footfall Counting Software in 2026: 6 Vendors Compared

Choosing footfall counting software starts with the decision you need to make: measuring visits to your stores, understanding in-store activity or comparing potential locations. This guide compares V-Count, FootfallCam, RetailNext, Xovis, Milesight and Placer.ai by data source, software package and buying considerations.

Footfall Counting Software Compared: 6 Vendors

Compare the data source, required reports and commercial package together. A feature appearing on a vendor website does not establish that it is included in every quote. The vendor links below support the package descriptions reviewed on 15 September 2026.

Three Product Categories Buyers Confuse

Separate the measurement task from the way the solution is packaged. The categories below can overlap: a platform may combine entrance counting with zone analytics, and the available features depend on its configuration.

1. Measured counting at your own locations

Installed sensors measure entry and exit events at configured counting lines. With the right sensors, coverage and licences, a deployment can also measure zones and queues. These counts can support retail conversion measurement, staffing and tenant reporting. V-Count is one option; compare the required hardware and software scope across vendors.

2. Broader in-store analytics

Broader analytics can connect traffic with shopper activity, zones and business-system data. RetailNext is one example, and other vendors offer overlapping capabilities through different packages. Compare the actual deployment and included services rather than assuming one category is always more capable, expensive or difficult to install.

3. Market-level location intelligence

Location intelligence products use aggregated location data to help teams study markets, consumer patterns and potential sites. Placer.ai is an example. Evaluate coverage and methodology for that task; using this information to calculate a specific store’s conversion rate also requires an appropriate, aligned store-visit denominator.

10 Criteria That Decide the Shortlist

1. Counting accuracy under your actual conditions

V-Count reports up to 99% counting accuracy for Nano AI, including in difficult conditions. Review the Nano AI product information and ask for a test report relevant to your entrance. Compare vendors against the same manually verified entry and exit events, at the same height, lighting and peak traffic density.

Record overcounts and missed counts separately; aggregate totals can hide errors that cancel each other. Counting accuracy is a separate measure from age, gender or staff-exclusion accuracy.

2. Maximum supported mounting height

Nano AI supports a mounting range of 2.2–7 m. This matters when a high ceiling makes a lowered mounting pole impractical. Compare the exact model and lens variant: FootfallCam Pro2 and Xovis PC2SE list limits of 6 m, while specialist models support higher ceilings. The feature comparison above identifies the models being compared. Confirm entrance coverage and the permitted heights for every additional analytics function.

3. Low light and total darkness

Nano AI uses built-in infrared LEDs to count in 0 lux total darkness. Include the darkest operating period in your acceptance test, especially for cinemas, museums and venues with changing lighting. Ask whether the quoted counter has built-in illumination, requires an external infrared accessory or specifies a minimum ambient light level. A darkness capability statement alone does not establish a comparative accuracy result.

4. Staff exclusion that fits the store

V-Count offers three staff-exclusion methods. Ask which method fits your staff movements and store layout, how it is configured, and whether staff need to wear or carry anything. Test both staff movements that should be excluded and customers who should remain in the count. Keep staff exclusion, re-entry filtering and group counting as separate reporting rules. The selected staff-exclusion sublicence is included in the quoted BoostBI subscription price.

5. Counting, gender and age in the same sensor

Nano AI counts people and estimates gender and age using the same sensor. This provides demographic reporting without a separate demographics device. Its AI processing runs on the sensor; V-Count describes demographic analysis without recording or transferring images to servers.

See Nano AI’s demographic capabilities. Xovis also offers apparent-age estimation and gender statistics as licensed AI extensions on compatible counting sensors. Compare the supported age bands, demographic accuracy and operating limits; simple child/adult classification is a different measurement.

6. Weekly coaching for store managers

AI Sales Coach is a BoostBI module that delivers weekly, targeted coaching to store managers, curated by AI from their own store data. It gives managers a regular review of their store’s performance and guidance they can assess and act on. During the demo, ask to see one real weekly coaching output, the data behind it and how a manager would review the next week’s results.

Confirm AI Sales Coach access in the proposed package. Read the Sales Coach introduction for background.

7. Hardware, subscriptions and included features

Compare the same required functions over the same contract period. For V-Count, Nano AI is a one-time purchase and BoostBI is $9–$49 per sensor per month. Selected sublicences for API access, staff exclusion, demographics, queues and heatmaps are included in that BoostBI price. Ask the quote to identify each enabled function and any installation or integration services.

8. Integration with your existing systems

Check the API or connector, available data fields, time intervals, implementation work and support owner. V-Count API access is included as a BoostBI sublicence. Align traffic and POS reporting periods before calculating conversion.

9. Data handling across the complete deployment

Request a clear account of what the sensor processes, what leaves the device, where analytics are stored and who can access them. Check retention and any diagnostic or validation modes, as well as the settings of connected platforms. Use those technical details to assess the proposed deployment and your organisation’s requirements.

10. Installation, acceptance testing and support

Confirm who manufactures, installs, calibrates and supports each component. Agree the site survey, network prerequisites, acceptance test and escalation process for each country. Run a pilot at a representative difficult entrance before rolling out across the estate. Include a relevant customer reference and an itemised total-cost estimate in the evaluation.

Questions to Ask Before Choosing a Provider

Head-to-Head: V-Count vs Each Vendor

Explore the existing vendor comparison pages for technology and commercial context. For an accuracy decision, request measured results from a shared test protocol at your own site.

Frequently Asked Questions

How does FootfallCam compare with other footfall counting solutions?

Compare the named FootfallCam model and its software package with the specific V-Count, RetailNext, Xovis or Milesight configuration being quoted. Check supported height, lighting, required analytics, staff exclusion, integration and total cost. The feature comparison shows model-level distinctions; the V-Count versus FootfallCam page provides further context. A shared on-site test is needed to compare counting performance.

How do I choose a reliable people counting sensor for a small business?

Start with the entrances you need to cover and the report you will use: daily visits, occupancy or conversion with POS data. Check mounting height, entrance width, lighting, staff exclusion and connectivity, then run a short acceptance test against observed crossings.

Compare total hardware, subscription and installation costs, and confirm who provides support. Select the functions you need rather than assuming the cheapest sensor delivers a complete reporting system. V-Count can help assess Nano AI entrance coverage and the BoostBI functions required for your store.