LOOK — Unlock Consumer Behavior with Live, Ethical AI

Turn physical interactions into measurable signals. Book a demo to see heatmaps, watch-time metrics, and conversion attribution in action.

What LOOK Delivers
LOOK is Boldstreet’s consumer insight engine that brings online-level analytics to physical spaces. By fusing edge computer vision (tuned models), sensor telemetry, and advanced event-stream processing, LOOK produces actionable, privacy-first insights: who looked, for how long, where they moved, what attracted attention, and which creatives drove conversions. Built for retailers, malls, brands, and OOH advertisers across Kenya and East Africa, LOOK translates footfall into conversion lift, optimizes store layouts, and enables dynamic content strategies for Boldstreet OOH. The platform outputs 1,450+ KPIs from glance rate and dwell time to cross-channel attribution, with dashboards and APIs for analytics teams and C-suite stakeholders.
  • Increase in-store conversion by optimizing high-traffic layouts and merch placement.
  • Faster creative iteration for DOOH campaigns through real-time attention metrics.
  • Evidence-backed reporting for buyers and FMCG brands—link impressions to in-store behavior.
  • Operational efficiencies: reduce checkout queues, balance staffing, identify shrinkage patterns.
  • Typical Use Cases
    Store Experience Optimization

    Store Experience Optimization

    Heatmaps show which aisles attract attention and which displays are blind spots. Optimize product placement and staff allocation.

    Pop-up & Event Analytics

    Pop-up & Event Analytics

    Real-time dashboards reveal which activations drive dwell and social sharing; optimize placement and timing mid-event.

    OOH Creative Validation

    OOH Creative Validation

    Integrate with Boldstreet OOH to verify which creatives attracted attention and generated store visits — creating a closed-loop OOH → in-store attribution.

    Category & Merch Testing

    Category & Merch Testing

    Run A/B product placement tests across branches and measure uplift in pick-up vs. pass-by rates.

    Loss Prevention & Operational Alerts

    Loss Prevention & Operational Alerts

    Identify suspicious behavior patterns (loitering, repeated shelf probing) and alert staff before loss escalates.

    How LOOK Works

    Edge-first Computer Vision

    • Custom-tuned for object & pose detection, head-pose, and gaze approximation, trained on regional contexts.
    • On-edge anonymization: faces blurred by default; identifying images discarded unless lawfully required.

    Sensor Fusion

    • Inputs: RGB cameras, passive infrared counters, Bluetooth/Wi-Fi beacons (optional), POS/time-stamp events.
    • Fusion logic matches anonymous tokens and visual metadata for reliable visit paths while preserving privacy.

    Streaming & Analytics

    • Kafka streams for anonymized event aggregation, cohorting, and ML scoring (dwell propensity, repeat-visitor likelihood).
    • Real-time rules engine for alerts and creative swaps on Boldstreet OOH screens.

    Attribution & Linkage

    • Links impressions to POS, CRM, or location pings via secure APIs for near-real-time conversion measurement.

    Security & Compliance

    • TLS + AES-256 encryption, role-based access, configurable retention, GDPR-style controls for Kenyan regulations.
    Metrics & KPIs

    Attention & Engagement

    • Glance Rate: % of passersby who look at the display or shelf.
    • Average Dwell Time: seconds per viewer.
    • Watch-to-Conversion Rate: % of watchers who purchase (via POS).
    • Repeat Exposure Rate: % of unique visitors returning within a time window.

    Movement & Pathing

    • Heatmaps: time-sliced density visualizations (people/m²).
    • Origin → Destination Paths: visitor navigation patterns.
    • Queue Length & Wait-Time Profiles at checkouts.

    Demographics & Segmentation

    • Age-range buckets, broad gender indicators, group vs. individual shoppers (aggregate, no PII).

    Creative & Campaign Metrics

    • Creative View Rate: % of viewers registering attention for a creative.
    • A/B Variant Performance: watch time uplift and conversion attributions.

    Operational Metrics

    • Staff Efficiency Index: predicted vs. actual staffing needs.
    • Shrinkage Risk Score: composite metric for anomalous behavior.
    Implementation Plan

    Assessment & KPI Workshop

    1 week

    Define business goals, POS/CRM hookups, legal signage, and pilot metrics.

    Pilot Deployment

    3–6 weeks

    Edge device + 2–6 camera zones, dashboard access, baseline benchmarking, one POS/CRM integration.

    Optimization & Scale

    4–12 weeks

    Expand to additional branches, train models on site-specific data, add cohort analysis and automated recommendations.

    Ongoing Operations

    Ongoing

    Monthly model tuning, quarterly business reviews, add-on modules (e.g., emotion scoring, loyalty integration).

    We offer hardware leasing and revenue-share models for FMCG partners and agencies. Final cost is scoped to site complexity and integration depth. Contact sales for a scoped quote.
    Pricing & Pilot Offers

    Insight Pilot

    3 sites, 4-week baseline, heatmaps, attention & dwell dashboards, one POS integration.

    Growth Insights

    Up to 12 sites, A/B testing module, conversion attribution, weekly analytics reviews.

    Enterprise Insights

    Region-wide rollout, custom integrations (ERP/CRM), SLA, dedicated success manager.

    We offer hardware leasing and revenue-share models for FMCG partners and agencies. Final cost is scoped to site complexity and integration depth. Contact sales for a scoped quote.
    Case Snapshot — Retail Chain Pop-up

    Objective

    A nationwide retailer launched a 10-day pop-up but lacked fast feedback on creative and merchandising.

    Approach

    Deployed LOOK at 5 pop-up sites, instrumented 3 camera zones per site and connected POS. Ran two creative variants and A/B shelf placements.

    Outcome

    Variant B increased average dwell 36% and produced a 22% lift in same-day purchases attributable to the pop-up. The retailer rolled the winning layout to 12 branches within 30 days, improving conversion rates chain-wide.

    Retail chain pop-up heatmap
    Integration & APIs
    LOOK exposes well-documented REST APIs and webhook events for campaign events (creative served, viewer count), attribution events (POS sale linked to impression token), and custom exports (CSV/JSON) for BI ingestion. We provide SDKs for common stacks and support custom ETL/ELT to BigQuery, Snowflake, or your data lake.
    FAQs

    Next Steps — Book a LOOK Demo
    Want to see LOOK analyzing a store or DOOH activation live? Book a demo to view heatmaps, watch-time metrics, and sample conversion attributions.