Best Data for Audience Extension

Recommended Data for Audience Extension

Identity Graph Data | 1.8 billion Consumer Email database to power Identity Graph, Identity Linkage, and Customer Recognition

Email Address Data| Email Database | US Consumers | 650 million Consumer Email Addresses

Energy Data & Commodity Data—AdBlue/DEF prices for 44,000+ EU stations, plus Market, Oil & Gas, and Brand insights via API and datasets.

Global Home & Professional Services Data | 51.6M+ Businesses | No-PII Insights and Foot Traffic Data

Global Leading Multinational Retailer Location & Foot Traffic Data

Global Quick Service Restaurant Location & Foot Traffic Data
Stirista
Unacast
Leveraging geolocation data for Airport Planning. We provided a strong and successful case for adding flights to a medium sized airport. Two airlines added flights following the analysis. The successful pilot is being turned into a tool for airport administrators. In the tool, managers can see the origins and end destinations of travelers flowing through their terminals. They can also identify volume and type of leakage to other transportation terminals - both alternate airports and other modes of travel like bus and train. Gravy Analytics' data product showing visitations was optimal for this use case.
Factori
Mobility data was used to track where people flock during quarantine, and to understand how people moved out of the urban centers and to the provinces. Might also be used for retail clients to understand what adjustments are needed to adapt better to the situation.
Versium
Using Versium REACH has allowed us to easily and cost-effectively activate our CRM and ICP data. Versium REACH allows us to activate our data over our preferred media channels giving us the ability to compound frequency with our audiences.
xavvy
dataplor
My firm decided to make the switch over to dataplor from a manual data collection effort once we saw measurable lift in accuracy, coverage, and cost-savings. Their resolution was far beyond what we could achieve on our own, and we no longer had to juggle the labor-intensive process of duplicates, new places, and pulling in updates. We now have a reliable stream of data in difficult markets that is high-fidelity and always current. And because they are global, adding new datasets is a breeze.