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§ Private Profile · San Francisco, CA, USA
SaaS for retail analytics, tracking customer behavior and foot traffic in physical stores using sensors and wireless technology.
Key people at Euclid Analytics.
Based in Palo Alto, California, Euclid Analytics provides specialized sensors and wireless technology to track customer behavior and foot traffic across physical retail stores. The company operates a subscription-based software-as-a-service platform that allows brick-and-mortar merchants to analyze visitor patterns, engagement levels, and demographic data within real-world commercial locations. Operating with an initial 15-person team during its early development phase, the enterprise secured $5.8 million in Series A funding to build specialized analytics tools comparable to Google Analytics for physical spaces. The venture attracted early financial backing from prominent venture capital firms including New Enterprise Associates, Harrison Metal, Triple Point Capital, and Benchmark, while deploying its tracking infrastructure for regional retail customers such as Philz Coffee. Euclid Analytics was founded in 2011 by former web analytics engineers Scott Crosby, Will Smith, and their founding colleagues.
Key people at Euclid Analytics.
Euclid Analytics was a venture-backed startup that built a spatial analytics platform using WiFi signals to anonymously track smartphone signals, delivering insights on customer traffic, behavior, satisfaction, and loyalty for brick-and-mortar retailers.[1][2][3] It served retailers by providing easy-to-understand reports on shopper patterns—such as store entries, aisle navigation, and dwell times—helping optimize marketing, merchandising, and operations without identifying individuals, as all data was encrypted and anonymized.[1][2][4] Founded in 2010 in Palo Alto, California, the company raised $43.6M before being acquired by The We Company (WeWork's parent) in February 2019, after tracking over 100 million devices across 10,000+ locations, demonstrating strong early growth in the offline retail analytics space.[1][2][3]
Euclid Analytics emerged in 2010 as a Palo Alto-based startup aiming to "digitize real-world behavior at scale" through innovative use of ambient WiFi signals to detect and analyze anonymous smartphone movements in physical spaces.[1][3] While specific founders are not detailed in available records, the company quickly gained traction with investors like NEA, which highlighted its breakthrough in offline retail analytics, and scaled to monitor over 100 million devices in more than 10,000 business locations.[2][4] A pivotal moment came with its acquisition by The We Company on February 7, 2019, after which its original website went offline, marking the end of its independent operations amid rising demand for such spatial data tools.[2]
Euclid stood out in retail analytics through these key strengths:
Euclid rode the early 2010s wave of spatial analytics and IoT convergence, bridging the gap between online and offline retail data at a time when brick-and-mortar stores sought digital parity with e-commerce giants amid stagnant physical traffic post-recession.[1][2][4] Its timing capitalized on ubiquitous smartphone adoption and WiFi proliferation, enabling retailers to combat "showrooming" (customers browsing in-store but buying online) through precise behavior mapping— a market force amplified by big data's rise and the need for omnichannel insights.[2] By influencing how thousands of locations optimized layouts and campaigns, Euclid helped pioneer the "digitization of physical spaces," paving the way for post-acquisition integrations (e.g., into WeWork's ecosystem) and inspiring competitors in guest Wi-Fi and attribution platforms.[1][2]
Post-2019 acquisition, Euclid's technology likely evolved within The We Company, potentially enhancing WeWork's space utilization analytics or broader real estate insights, though independent updates ceased.[2] Looking ahead, trends like AI-enhanced edge computing, 5G/6G proliferation, and privacy regulations (e.g., GDPR evolutions) will shape similar platforms, favoring those balancing granularity with compliance. Euclid's legacy endures in the startup ecosystem as a trailblazer for offline data, influencing how retailers harness ambient signals—its scale and precision remain a benchmark, tying back to its core mission of turning physical behavior into scalable, actionable intelligence.[1][2][4]