Deployment capability
Samsung
Seven capabilities for workplace people and behavioural analytics.
Read the full story →People counting / Customer stories
Every visit. A measurable opportunity.
See how SUS installs people counting and turns footfall into useful reporting. Start with Samsung and Mayo Clinic, then explore retail, venues and public spaces.
Deployment facts, customer perspectives and reported outcomes, with the evidence behind each clearly stated.
Deployment spotlight
Mayo Clinic
Passenger counting for healthcare transport in the United States.
Read the full story →Opening-day ready
Entrance counting before launch
HARIBO · Trafford Centre
Pilot-led rollout
Centralised estate reporting
The Body Shop
Conversion view
Staff-excluded store reporting
The Fragrance Shop
Area-level insight
Exhibition-hall visitor reporting
Henry Moore Institute
Published deployment and reporting facts, not measured commercial uplift. Each story states its evidence status. How we distinguish the evidence →
Across retail,
workplaces and venues![Samsung]()
![Mayo Clinic logo]()
![Radiator Outlet logo]()
![The Fragrance Shop logo]()
workplaces and venues
Explore the customer libraryMore customers.
More customers.
More applications.
Samsung and Mayo Clinic lead above. All 16 remaining stories are shown below, starting with HARIBO, The Body Shop and The Fragrance Shop. Optional filters search the full 18-story library.
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Reset the filters to explore the customer library, or bring this objective to your review.
All remaining customer stories
Every story is expanded. No “load more” or extra step to reveal the rest.
How to measure a resultEvidence first.
Evidence first.
Every claim in context.
A counter supplies evidence. The customer makes a decision, takes action and measures what follows. A useful evaluation keeps that distinction visible.
01 / Establish
Record the baseline
Define the KPI, data sources, site group and exclusions before the evaluation begins.
02 / Observe
Find the opportunity
Identify the time, location or visitor pattern behind the operational problem.
03 / Act
Document the change
Record what the customer changed in staffing, merchandising, opening hours or planning.
04 / Verify
Compare and qualify
Use a defined period and consistent scope. Note other influences and obtain customer approval.
Method explainer · not a customer result
How a conversion change is calculated.
For newly validated outcomes, the acceptance standard is a reviewed measurement record: KPI definition, baseline, comparison period, site scope and calculation. This is not a claim that every existing figure has passed that standard. Legacy supplier-reported figures remain separately labelled, with their evidence gaps stated.
Conversion rate
completed transactions ÷ counted visits × 100Inputs required for the new “Measurement record available” classification (not held for the legacy figures displayed): transaction source and export period, counting definition and exclusions (staff, deliveries, re-entries), site list, and start and end dates for both periods.
Baseline
20%
Comparison
23%
0%Worked example, scale 0–30%30%
Absolute change+3 pp23% − 20%. Percentage points. Use this when comparing the rate itself.
Relative change+15%(23 − 20) ÷ 20 × 100. Use this only when the baseline is stated alongside it.
A worked example for reading the arithmetic. No customer, site, date range or sales data is represented here, and no figure on this diagram is a Smart Urban Sensing result.
Delivery that stands up to scrutiny
A useful result starts with a dependable deployment.
Use your review to agree what a successful UK site or estate rollout would involve. Confirm commitments for your specific environment before a pilot begins.
- Site survey, entrance coverage and out-of-hours installation requirements
- Calibration validation, staff exclusions and consistent KPI definitions
- Connectivity resilience, system integrations and historical data continuity
- Named support ownership, monitoring and a repeatable rollout plan
Henry Moore Institute · Visitor intelligence for cultural spaces
From manual counts to visitor evidence
Explore how building-wide measurement brings real-time and historical visitor information into one operational picture.
Read the Henry Moore Institute story →Questions worth asking
Clarity before commitment.
Can we compare a pilot with our existing counters?
Define a parallel-run period, a consistent entrance map and the same staff and repeat-entry exclusions. Agree acceptable differences, reconciliation steps and historical-data handling before switching systems. These are proposed acceptance criteria, not a claim about an existing deployment.
How should we validate counting accuracy?
Agree a site-specific validation method, compare counts with a documented reference sample, and record environmental limitations. A product accuracy figure should not be treated as a guaranteed result for every entrance.
How are privacy and GDPR addressed?
Confirm the exact sensor configuration, data collected, retention period, access controls, hosting and controller/processor responsibilities. Review signage and whether a data protection impact assessment is required. Compliance must be assessed for the specific deployment.
Can footfall data prove that SUS caused sales growth?
Not on its own. A credible account records the customer’s actions, seasonality, promotions and other relevant changes. Where possible, compare against an appropriate control group and explain remaining limitations.
What will a 20-minute footfall review cover?
Your current measurement approach, the decision you need to improve, site or estate requirements, a relevant customer example and a potential pilot structure. Request the review through the SUS contact form; SUS will confirm a suitable time. This is an enquiry route, not an instant calendar booking.
Can we review the evidence without speaking to sales?
Yes. Customer stories and the measurement method are ungated. Each direct story page includes a print-friendly full story that you can save as a PDF using your browser, plus a text download. The evidence notes distinguish reported figures from deployment capabilities and explain any limits in the available detail.
Your next better decisionBring the question.
Bring the question.
Leave with a clearer next step.
Find where your current visitor data falls short, and what a useful pilot should prove.
- Review your current measurement
- Discuss your site or estate
- Define the pilot and success measures
- Agree indicative next steps
No detailed budget or technical specification needed.