Client-Facing Data Product for B2B Foot Traffic Analytics Startup

The Challenge

A startup with proprietary passive foot traffic measurement technology needed a compelling data product to demonstrate value and insights to its B2B retail clients (e.g., identifying peak hours, comparing locations, understanding visitor flow).

Approach & Execution

Project Overview

An innovative startup leveraging novel passive sensing technology needed to translate its raw foot traffic data into a valuable product for B2B retail clients.

Work Done

Product Design: Defined the core features and user experience for a client dashboard, focusing on delivering actionable retail insights (e.g., traffic volume, dwell times, common pathways).
Visualization: Designed and developed a geospatial heatmap visualization as the primary interface for exploring foot traffic data.
Data Engineering: Built the ETL pipeline using R and SQL to ingest, clean, aggregate, and anonymize raw GPS data, ensuring both performance and privacy compliance.
Sales Support: Collaborated with the CEO to create data visualizations and key insights for inclusion in sales presentations and marketing materials.

Deliverables

Functional client-facing geospatial heatmap dashboard.
Automated data processing pipeline (R, SQL).
Data visualizations and insights for sales materials.

Solution Overview

Designed and built a client-facing geospatial heatmap dashboard visualizing anonymized foot traffic patterns. Architected and implemented the backend data pipeline (R & SQL) to process raw GPS data into aggregated, privacy-preserving insights for the dashboard. Created data-driven sales materials to support CEO's client pitches.

Key Results & Impact

Launched the startup's core client-facing data visualization product.
Provided B2B clients with actionable insights into foot traffic patterns around their locations.
Established an automated data pipeline for processing raw sensor data into dashboard-ready metrics.
Equipped the CEO with compelling, data-backed sales collateral.