Venue intelligence

    Stadium OS

    Turn venue touchpoints into one fan identity and a sponsor report you can defend. Every scan and transaction becomes usable data.

    1Fan identity
    Real-timeZone analytics
    MeasuredSponsor exposure
    IDENTITYZONESYIELDSPONSORSCONCESSIONSACTIVATION

    Can you show a sponsor exactly who their money reached last event?

    Where it breaks today
    • Ticketing, retail and app data live in separate systems
    • Sponsor reports rely on estimated impressions, not fan data
    • Zone congestion and dwell time go unmeasured on event day
    • Pricing decisions made without demand signals
    What changes with Stadium OS
    • One fan identity across ticketing, access and digital
    • Sponsor reports built from observed fan behaviour
    • Zone heatmaps show traffic and dwell time in real time
    • Yield recommendations informed by demand and history
    See it working

    Turn fan identity into sponsor value you can prove

    Ticketing, access, retail and digital signals resolve into fan profiles that back sponsorship reporting.

    • One fan view across ticketing, venue and digital
    • Sponsor exposure tied to measured audience, not estimates
    • Consent enforced before any fan data is activated
    Stadium OS / Fan view
    Reach4.2M
    Validated lift1.6x
    Spend live72%
    Channel contribution
    Mix
    Interface shown for illustration
    What you get

    Six things your venue team stops estimating

    FAN IDENTITY GRAPH

    One fan. Every touchpoint. Unified.

    • Ticket, app, QR and Wi-Fi signals resolve to one identity
    • Probabilistic matching used where deterministic signals are missing

    YIELD OPTIMIZER

    Maximize revenue per seat, per event.

    • Pricing recommendations from demand and fill-rate history
    • Real-time adjustments through connected ticketing platforms

    REAL-TIME INGEST

    Sub-second signals from the venue floor.

    • Wi-Fi, beacon, POS and app events captured live
    • Data surfaced within milliseconds of each interaction

    ZONE ANALYTICS

    Understand every square meter.

    • Heatmaps of foot traffic and dwell time by zone
    • Congestion alerts help staffing and sponsor placement

    CONCESSION INTELLIGENCE

    From queue to cart to insight.

    • Transaction volume and basket size tracked in real time
    • Upsell and inventory alerts across all concession points

    SPONSOR ACTIVATION ENGINE

    Prove sponsor ROI with precision.

    • Exposure and engagement measured per sponsor placement
    • Activation reports show impressions and dwell time
    How it works

    Touchpoint to measurement in five governed steps

    Venue Touchpoints
    Identity Resolution
    Segment Build
    Activation
    Measurement
    Fan IdentityHashed, consent-aware///Venue ZonesConfigurable per venue///Signal IngestionStreaming///Activation TargetsMajor ad platforms
    Where teams use it

    Four venue types running on the same model

    Sports Franchises

    Season ticket holder intelligence and sponsor measurement across major league properties.

    Concert Venues

    Artist-specific fan profiling and cross-event remarketing for amphitheaters and arenas.

    Festival Operators

    Flow optimization and sponsor zone dwell measurement across multi-day events.

    Exhibition Centers

    Booth traffic attribution and exhibitor ROI dashboards for trade shows and conventions.

    Questions buyers ask

    What data does a venue need to start?

    Ticketing and access control get you most of the way. Retail, hospitality, app and Wi-Fi data deepen the picture but are not required on day one.

    What do sponsors actually receive?

    A report tied to observed fan behaviour: who was reached, what they did, and how that compares with the commitment in the contract.

    Does this work outside football?

    Yes. Any ticketed venue with recurring events, including circuits, arenas and festivals, uses the same fan identity and sponsor model.

    How is fan privacy handled?

    Fan identity uses hashed identifiers with consent flags, and anything shared with a sponsor is aggregated with small groups masked.

    Model one match day

    Bring ticketing and access data from a single fixture. We show the fan view and the sponsor report it produces.