Cuebiq

Cuebiq is a location intelligence company that provides brands, agencies, and researchers with data on how people move, shop, and engage in the physical world.^[1] Its solutions cover footfall measurement of advertising campaigns, audience targeting built from location data, and a data platform offering custom datasets.^[1]

The company operates from New York and is known for its privacy-first positioning and for its Data for Good program, through which anonymized mobility data has been made available to academic researchers and humanitarian initiatives, including COVID-19 mobility monitoring with the ISI Foundation in Italy.^[1][2][3]

What It Does

Cuebiq's footfall measurement tools track store visits and campaign-driven real-world behavior at the location level; its Audiences solution activates advertising based on where people go; and its Data Platform serves public-sector and academic partners studying mobility patterns, public health, and crisis response.^[1]

Data And Methodology

The company describes its underlying data as first-party, collected from anonymized users who have opted in through a GDPR-compliant framework, then aggregated for research use.^[3] Cuebiq maintains a Privacy Center documenting its standards for transparency and ethical data sourcing.^[1]

Buyers And Use Cases

Stated buyer segments are brands seeking visibility into store visits, agencies focused on offline attribution and ROI, and research institutions using clean anonymized datasets to study human movement.^[1] During the COVID-19 pandemic, Cuebiq partnered with the ISI Foundation to assess the effect of lockdowns on mobility and contact patterns in Italy using aggregated location data.^[2]

Compliance

Through its Data for Good program, access to aggregated, privacy-safe mobility data is provided for academic research and humanitarian initiatives, a model documented in peer-reviewed work publishing COVID-19 mobility datasets derived from Cuebiq's first-party data.^[2][3] The company also collaborated with The GovLab and the Open Data Institute on the #Data4COVID19 mobility repository documenting applications of mobility data during the pandemic.^[4]

Questions to ask Cuebiq

What is the consent chain for the underlying location panel, and which SDKs contribute pings? What is panel size and how do you control demographic drift over time? How complete is POI coverage, and what is attribution accuracy against polygons? How are visits calibrated to ground truth, and are small venues suppressed?

Complementary signals

More datasets from Cuebiq

Cuebiq lists 1 datasets on this encyclopedia. The most representative listings:

More about Foot Traffic & Mobility

Foot Traffic & Mobility is one of the signal families covered by The Alternative Data Encyclopedia, with 23 providers and 438 datasets listed in the register. For how the signal is generated, its caveats and the compliance considerations, and the full provider list, see the category article.