DatafuelX launches predictive analytics solutions to improve linear TV and CTV outcomes

Buy-in from publishers and adtech players that aim at merging linear, addressable TV and video.

A new advertising analytics company, datafuelX, will offer forecasting and optimization of ad audiences for both marketers and publishers on the buy side and sell side.

The first two predictive products launched by datafuelX, precisionX and outcomeX, are aimed at helping media companies, agencies and brands increase the efficiency of ad spend and improve reach and targeting capabilities in linear and addressable TV environments.

Why we care.  Predictive and prescriptive analytics have become even more important in the adtech ecosphere as challenges have increased in identifying audiences across a proliferation of devices and apps, many of which have adopted more stringent privacy policies.

It’s not just about new smart TVs and cross-device streaming services, however. Marketers are also looking to replicate the success they had on linear TV in an earlier era in the CTV space, as TV viewers continue to cut the cord.

Outcomes. On the one hand, marketers can try to gain more accuracy in the audiences they reach through identity solutions and third-party data.

But beyond attribution based on identifying a user or device, a marketer can also draw on predictive analytics that leverages existing behavioral and performance-related data not directly tied to personal identification.

That’s where a predictive analytics tool like outcomeX comes in. It aggregates outcome data sets and tethers them to linear TV audiences to build forward-looking estimates of outcome behavior within those audiences, rather than identifying and attributing outcomes to consumers after-the-fact.

PrecisionX. Univision Communications, Mediahub and TV-focused search analytics company EDO are already onboard using the precisionX tool. 

It uses modeling for individual viewership characteristics and real-time ad exposure data to inform individual-level forecasts for future ad exposures, creating a more holistic view of the consumer that publishers and advertisers can use across linear, addressable TV and digital video channels.

The post DatafuelX launches predictive analytics solutions to improve linear TV and CTV outcomes appeared first on MarTech.


About The Author

Chris Wood draws on over 15 years of reporting experience as a B2B editor and journalist. At DMN, he served as associate editor, offering original analysis on the evolving marketing tech landscape. He has interviewed leaders in tech and policy, from Canva CEO Melanie Perkins, to former Cisco CEO John Chambers, and Vivek Kundra, appointed by Barack Obama as the country’s first federal CIO. He is especially interested in how new technologies, including voice and blockchain, are disrupting the marketing world as we know it. In 2019, he moderated a panel on “innovation theater” at Fintech Inn, in Vilnius. In addition to his marketing-focused reporting in industry trades like Robotics Trends, Modern Brewery Age and AdNation News, Wood has also written for KIRKUS, and contributes fiction, criticism and poetry to several leading book blogs. He studied English at Fairfield University, and was born in Springfield, Massachusetts. He lives in New York.