LOOK: Turning Footfall into Sales — In-Store Analytics for Kenyan Retailers

2025-08-10
7 min read
Retail Analytics
Retail store heatmap overlay showing customer dwell and attention zones in Nairobi

In today's omnichannel retail landscape, Kenyan consumers expect seamless experiences whether shopping online or in physical stores. Yet, many brick-and-mortar outlets in Nairobi remain data-blind, unable to pinpoint what drives customer behavior or converts browsers into buyers. LOOK by Boldstreet Partners bridges this gap with advanced in-store analytics, delivering insights like heatmaps, gaze tracking, dwell time metrics, and direct attribution to sales. This empowers retailers to optimize layouts, merchandising, and staffing in real time, turning footfall into measurable revenue growth. Drawing from deployments in bustling malls and standalone shops, this guide details what LOOK delivers, operational improvements, privacy safeguards, and a quick-start implementation plan to help Kenyan retailers compete with e-commerce giants.

What LOOK delivers

Heatmaps visualize traffic patterns and attention hotspots within stores, highlighting high-engagement areas like end-caps or promotional displays and revealing underperforming zones that need reconfiguration.
Watch-to-conversion rates integrate gaze and dwell data with POS systems, quantifying how long customers engage with products before purchasing, enabling precise measurement of merchandising effectiveness.
A/B testing capabilities allow retailers to experiment with layouts, signage, or product placements and receive same-day learnings, accelerating iterations that boost sales in dynamic Nairobi retail environments.

Operational improvements

By predicting footfall patterns, LOOK helps reallocate staff to peak times and zones, ensuring better customer service and reducing wait times that could deter sales.
Shelving and layout reconfigurations based on analytics eliminate blind aisles and maximize product exposure, leading to increased basket sizes and overall revenue in Kenyan supermarkets and boutiques.
Integration with OOH campaigns measures in-store uplift from external ads, validating marketing spend by tracking how billboard exposures translate to foot traffic and conversions.

Privacy & trust

LOOK maintains high standards of privacy through anonymized data processing, on-edge blurring of identifiable features, and transparent signage informing customers of analytics activities. This compliance with Kenyan regulations builds trust, ensuring retailers can leverage insights without compromising ethical standards or customer loyalty.

Implementation quick-start

Begin with a 1-week workshop to assess store layouts and install sensors, followed by a 3–6 week pilot to gather baseline data and validate initial uplifts in key metrics like conversion rates.