Lotame's Data Stream to provide actionable consumer data to enterprises
Columbia, Maryland-based data management platform (DMP), Lotame that helps publishers, marketers and agencies to drive maximum audience impact out of their data has announced the launch of Lotame Data Stream which claims to enable global enterprises, combine high-quality data with their existing first-party data for a more complete profile of their consumers.
Data Stream, claims the company, is powered by billions of data points from Lotame’s global data exchange and aid companies access to Lotame’s big data firehose, its real-time pipeline of raw behavioral data. Along with first-party data, it also contains third-party data supplied by LDX to understand and address consumer concerns and queries.
Andy Monfried, Founder and CEO, Lotame, said:
“Historically, having access to data at the level available from Lotame Data Stream has been limited to brands and their advertising agencies, with little flexibility in how the data is purchased, where it’s accessible, and how it can be used. We’re changing all that. The Lotame Data Stream unlocks consumer data and removes the CPM-based pricing model to support businesses beyond digital advertising. The early adopters indicate there is tremendous need and myriad uses for Lotame Data Stream across industries.”With its consumer profiles, collected and aggregated from various data providers and publishers, Lotame provides segmented data for companies to identify consumer behavior and understand what drives specific consumer preferences. And the new data product reportedly, optimizes the granular data to clients’ benefit and enhances in-house data science teams to boost business intelligence apps and services.
Lotame’s Data Stream also claims to provide:
- Product and media recommendations
- Personalized digital experiences across online properties
- Optimization and customer attribution
- Valuable market insights and intelligence
- Proprietary Customer Relationship Management (CRM) tools and other internal Business Intelligence (BI) applications
- A single, unified view of customer, by bridging attributes and behavioral insights from disparate sources
- Improved research methodology and outcomes with larger, more robust sampling