Comparison Guide 2026

V-Count vs RetailNext:Choose the Right Fit for Your Stores

Choose V-Count Nano AI and BoostBI for entrance measurement, conversion analysis and weekly store-manager guidance. Evaluate RetailNext when your brief also calls for integrated video and asset protection. Compare the installed configuration, data connections and complete price before deciding.

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V-Count Editorial · Reviewed 19 September 2026
A V-Count-authored comparison using linked primary vendor sources.

Up to 99%

Nano AI counting accuracy*

2.2–7 m

Nano AI mounting range*

0 lux

Built-in infrared counting*

Weekly

BoostBI AI Sales Coach

Start With Your Requirements

Two Platforms, Different Buying Priorities

Both vendors supply their own hardware and analytics. Start with the decisions your store teams need to make and the functions your quote must include.

People counting + store decisions

V-Count

V-Count combines Nano AI sensors with BoostBI to connect visitor demand, compatible sales inputs and practical management actions.

Nano AI entrance counting with on-device processing
Gender and age estimation in the same compatible sensor
Three staff-exclusion methods to match the deployment
Weekly AI Sales Coach guidance for each store
Hardware purchase plus the selected BoostBI subscription

Compare

Traffic + shopper activity + video

RetailNext

RetailNext combines Aurora sensors with Traffic Analytics, Insights and Asset Protection. Confirm the products and services included in the proposed subscription.

People counting and shopper-behaviour analytics
Video and asset-protection use cases
Staff exclusion and installation accuracy audits
POS integration and API connectivity
Aurora hardware included in published subscription pricing

V-Count Nano AI sensor showing its stereo lenses and built-in infrared LEDs — Nano AI product view. Confirm the selected model and accessories in your quote.

*Nano AI specifications refer to people counting. Validate coverage, lighting and traffic at the intended mounting position; optional demographics and staff-exclusion functions can have different operating requirements. Source ↗ · Source ↗.

Head to Head

Compare the Configuration You Will Actually Use

A published feature is not automatically enabled in every package. Ask both suppliers to confirm the quoted model, software functions and acceptance test.

Reviewed 19 September 2026. Vendor specifications are not a shared independent performance test.
Buyer requirement	V-Count: Nano AI + BoostBI	RetailNext: Aurora + platform
Hardware	Nano AI: dedicated 3D people counting with onboard processing. Source ↗	Aurora: stereo analytics, edge processing and video capabilities. Source ↗
Counting accuracy	Up to 99%; validate your entrance and counting rules. Source ↗	Published range of 95–99%, with installation audits. Source ↗
Mounting and coverage	2.2–7 m for Nano AI people counting. Confirm width, lens coverage and optional-feature limits. Source ↗	Confirm height, lens and coverage for the quoted Aurora model; the reviewed brief does not give a maximum. Source ↗
Counting in darkness	0 lux using built-in infrared LEDs. Source ↗	Minimum lux is not specified in the reviewed brief; ask for the proposed low-light configuration. Source ↗
Staff exclusion	Three methods; select the compatible method and BoostBI sublicence. Source ↗	Staff exclusion is available; the Aurora brief describes UWB. Source ↗
Gender and age	Gender and age estimation in the same Nano AI sensor, with the appropriate configuration and licence. Source ↗	Gender demographics documented; age estimation not confirmed in the reviewed sources. Source ↗
Manager guidance	AI Sales Coach: weekly store-specific guidance in BoostBI. Source ↗	Pulse AI conversational analytics and staffing predictions are documented. Source ↗
Privacy and data flow	On-device processing with non-identifiable analytics outputs. Review integration data, retention and access. Source ↗	Configurable privacy controls and video functionality. Review the configuration and retention. Source ↗
Commercial model	Hardware purchase + BoostBI per-sensor subscription, including selected sublicences. Source ↗	Subscription includes Aurora hardware; site-specific services can add cost. Source ↗
Integrations	Native Shopify and Nebim; other working integrations and scoped REST API connections. Source ↗	POS integrations and API access documented; confirm specific systems. Source ↗

Unspecified means the reviewed source does not establish the detail, not that a vendor lacks the capability. Counting accuracy is separate from demographic or staff-exclusion accuracy.

Why V-Count

Turn Better Visitor Data Into Store Decisions

V-Count brings entrance measurement and an actionable reporting workflow together. These are three benefits to demonstrate with your own retail team.

Illustration of V-Count staff exclusion at a retail entrance — Illustration of staff exclusion. Test the selected method with your store team.

Keep Staff Movements Out of Customer Counts

Where staff repeatedly cross the entrance, V-Count’s three exclusion methods give you options for protecting the visitor denominator. Choose the method that fits your team and validate it separately from total crossing counts.

Illustration of Nano AI counting at a dark shop entrance — Illustration of infrared coverage. Nano AI supports people counting at 0 lux.

Measure Entrances With Changing Light

Nano AI’s built-in infrared LEDs support people counting at 0 lux. Include your darkest trading conditions in the test and confirm coverage at the proposed height, especially where a high ceiling or wide doorway affects placement.

BoostBI AI Sales Coach illustration showing weekly staffing and conversion guidance — Illustrative interface showing the weekly coaching workflow.

Give Managers a Weekly Next Step

BoostBI’s AI Sales Coach uses available store data to provide weekly guidance. Managers can choose a staffing or conversion action, review the result and keep improving the operating routine.

Data and Integration

Connect Footfall With the Systems You Already Use

For conversion reporting, V-Count supplies the visitor measurement and connects it with compatible sales data in BoostBI. Native Shopify and Nebim connectors are available; VendPOS, Nayax, ImagineX and QuickBooks are working integrations. Manual sales import and scoped REST API connections provide further routes. Review BoostBI integration options.

RetailNext also documents POS integration and API access. Confirm the supported system and fields rather than treating “has an API” as proof that a particular loyalty, inventory or ERP workflow is ready. Footfall is anonymous visit data; matching it to named loyalty customers would be a separate project with its own data requirements.

BoostBI reporting illustration with traffic and conversion charts — Illustrative reporting view with sample data; not a customer result.

Agree the reporting rules before comparing results

Purchase conversion = eligible purchase transactions ÷ eligible store visits × 100. Match store IDs, time zones and complete reporting periods. Define returns, cancellations, repeat entries, staff exclusion and group counting consistently. Visit counts do not automatically represent unique shoppers.

BoostBI typically refreshes every 10 minutes; enabled real-time configurations can refresh as frequently as every minute. POS arrival time is separate. Confirm data-gap handling, historical imports, export formats and who supports each connection before the rollout.

Pricing and Procurement

Compare the Same Entrances Over the Same Term

V-Count’s public ranges are $299–$799 per sensor, one-time, and $9–$49 per sensor per month for BoostBI. The quoted BoostBI rate includes the selected sublicences; API access, staff exclusion, demographics, queues and heatmaps are not all enabled at every price point. Check current V-Count pricing and request a configuration-specific quote.

RetailNext’s current estimator calculates a subscription from store locations, entrances, industry, region and existing technology. Aurora hardware is included. Its pricing page identifies installation, custom mounting, cabling and custom integrations as possible additional costs. Use the RetailNext pricing source for current inclusions.

Comparable project cost = hardware not included in the subscription + installation and site work + subscription over the agreed term + integration and support charges + applicable delivery and taxes.

Ask for these assumptions in writing

Coverage: stores, entrances, width, mounting height, sensor quantity and any separate zone or queue coverage.
Power and network: Nano AI’s 5V supply and external PoE option, mounting accessories, cabling and site readiness.
Reporting: enabled analytics, API rights, POS connector, historical data, exports and refresh frequency.
Commercial terms: currency, billing period, minimum term, renewal, hardware ownership, warranty and any installation or integration charges.
Support: remote and onsite responsibilities, response targets, regional coverage and handover training.

Use the people-counting provider buyer guide for a broader shortlist and a consistent requirements checklist. V-Count can turn that checklist into a Nano AI and BoostBI proposal for your stores.

Pilot and Rollout

Prove the Fit at a Representative Entrance

Agree the objective. Choose traffic reporting, staffing, conversion or another defined decision. Select the V-Count hardware and BoostBI functions needed to support it.
Check the site. Record height, width, lighting, obstacles, power and connectivity. Confirm mounting and coverage before installation.
Validate the counts. Compare entry and exit events against the same independently observed reference, including peak traffic, groups and staff crossings. Record missed and extra counts separately.
Reconcile the reports. Test POS mappings, time periods and exclusions. Agree acceptable data completeness and who fixes missing information.
Plan the handover. Confirm historical-data export rights, the existing contract, support contacts and manager training before expanding to more stores.

A pilot determines your installed performance. Neither a product headline nor a customer story establishes a guaranteed conversion uplift for a new retailer.

Frequently Asked Questions

V-Count vs RetailNext: Buyer Questions

Which shopper analytics solution fits a mid-sized retailer?

Shortlist V-Count when entrance counting, staff exclusion, conversion reporting and weekly store-manager guidance are your priorities. Nano AI and BoostBI combine those functions in a configuration you can expand across stores. Compare RetailNext where video and asset protection are also purchasing requirements. Use the V-Count buyer guide to shortlist providers, then test the selected reports and installation at representative stores.

Which RetailNext-style analytics features should a small retailer prioritise?

Begin with accurate entry counts, suitable entrance coverage, staff exclusion where needed, and reports your team will use weekly. Add compatible POS data if you need conversion. V-Count can scope Nano AI and BoostBI around those requirements, then add selected demographics or other analytics as the business grows. Ask for the complete per-sensor subscription and installation price in your V-Count demo, rather than choosing on feature count alone.

How do V-Count and RetailNext integrate with POS, loyalty and inventory systems?

V-Count BoostBI has native Shopify and Nebim connectors, working integrations for VendPOS, Nayax, ImagineX and QuickBooks, plus manual sales import and scoped REST API connections. RetailNext documents POS integration and API access. For either vendor, confirm the exact system, data direction, fields and refresh timing. Loyalty and inventory workflows need their own agreed mapping; an anonymous entrance count does not identify a loyalty member. Review V-Count integration options with your IT team.

How do ShopperTrak, RetailNext and V-Count compare for retail analytics?

ShopperTrak focuses on traffic insights, retail reporting and market benchmarks; RetailNext combines traffic and shopper analytics with video and asset protection. V-Count pairs Nano AI entrance measurement with BoostBI reporting, compatible POS connections and weekly AI Sales Coach guidance. For V-Count, confirm the sensor coverage and selected analytics functions first. Then compare all three against your required reports, installation conditions, support arrangements and complete commercial term. The V-Count vendor guide provides a wider shortlist.

How should I compare FootfallCam with V-Count and RetailNext?

Compare named hardware models and quoted software packages. FootfallCam V9 documents APIs, exports and BI connectivity, so integration should be assessed through actual supported fields and workflows. V-Count offers Nano AI counting at 2.2–7 m, 0 lux capability, compatible gender and age estimation, and BoostBI with weekly AI Sales Coach guidance. Use the V-Count buyer guide to review model differences, then validate counting and staff exclusion under the same store conditions.

How should I compare V-Count and RetailNext pricing?

V-Count publishes sensor hardware at $299–$799 per unit and BoostBI at $9–$49 per sensor per month, depending on model, volume and selected capabilities. RetailNext provides a store-based subscription estimator that includes Aurora hardware. Compare the same entrances, functionality and contract period, including installation and integration. V-Count can provide an itemised quote for the configuration you need; check the current V-Count pricing page before budgeting.

Can I move from RetailNext to V-Count?

Yes, V-Count can assess a replacement project using Nano AI and BoostBI. Start with a representative entrance, agree the counting rules, validate the new data and map required POS fields. Confirm historical-data export rights, hardware ownership, current contract obligations and the reporting handover. Do not assume Aurora hardware or an existing export will connect automatically to BoostBI. Ask V-Count to scope a pilot and migration plan for your stores.

Sources and Review

Primary Sources Behind This Comparison

Reviewed 19 September 2026 by V-Count Editorial. Pricing and product scope may change. Confirm the named model and selected functions in a current proposal.

See V-Count on Your Own Store Requirements

Bring your entrance dimensions, reporting goals and POS system. We’ll show you how Nano AI and BoostBI can support your next store decision.

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V-Count vs RetailNext:Choose the Right Fit for Your Stores