What it is: There are petabytes of data flowing every fraction of a second from social media and ecommerce, and most of those bytes hold some critical data that can feed a marketing strategy. The ad technology industry lives on the tracking and measurement of that data, but the value of those raw numbers to a marketer depends on how that data is analyzed. That’s where data-relationship analysis comes in.
Publishers speak out on the state of the media business at the Digiday Publishing Summit
With the calendar flipping to spring, do publishers feel like the economic conditions are starting to thaw or do they expect the second quarter to be similarly frigid?
How Forbes and The Daily Beast are consolidating diverse revenue streams to create the highest value audience
Forbes and The Daily Beast have shed the silo-model when it comes to how their revenue teams operate.
How BuzzFeed’s Creator Score is grading the impact of its creator network
BuzzFeed's Creator Network is a primary focus in 2023 for the publisher, and its campaign grading tool is being used to prove out its ability to create successful ads.
SponsoredHow critical data pillars will increase brands’ confidence in CTV
Mario Diez, CEO, Peer39 With every quarter, the balance of TV viewership slips away from the traditional linear model and more towards connected TV. Less than half of the adults in the U.S. subscribe to cable or satellite, and fewer than half of the households watched linear TV daily in the second half of 2022. […]
In graphic detail: Google’s Ads Safety Report shows suspect ad activities are on the rise
Google's ad transparency efforts detail how bad actors necessitate further investment.
Media Briefing: Publishers share their biggest challenges and opportunities at the Digiday Publishing Summit
While Q1 ad revenue, sales cycles and payment windows appeared to be equally bad across the media industry, bright spots arose around consumer revenue streams, new tech experimentation and traffic patterns.