Case Study: Fire & Flower predicts traffic potential with PiinPoint

Fire & Flower boosts location confidence with PiinPoint’s 81% accurate traffic volumes

Fire & Flower, a Canadian cannabis retailer with an aggressive growth plan, faced unique challenges in site selection and competitive analysis for its physical stores. To make data-driven decisions, they partnered with location intelligence vendor PiinPoint and utilized its Mobile Traffic Volumes feature.

PiinPoint's solution used machine learning and mobile location data to create a proprietary model for estimating traffic volumes on major road segments. This provided Fire & Flower with consistent, up-to-date, and granular data across North America, enabling confident comparisons between locations and markets. The platform achieved a median accuracy of over 81%, giving the team more precise traffic data and greater confidence in the viability of new locations.

Fire & Flower