Brands that can harness data to dial in the right combination of influencer, platform, content and interest can create connections that drive engagement—and ROI.
As engagement with digital channels continues to rise, understanding the consumers behind those engagements is essential for matching the right message with the right audience.
Learn about future-focused marketing and advertising strategies for brand building and customer acquisition.
The UEFA Champions League Final isn't just a fan favorite; sports are a huge draw for media buyers and the payoffs for rights holders are rising.
Marketers looking for ways to stay top-of-mind with consumers are turning to social media—and influencers—to build more personal (and profitable) connections.
In addition to impressive viewership, the Eurovision Song Contest provides insight into the emotions of the audience—through the mood of the songs they vote for.
Global marketers say building brand awareness is their top objective for the year ahead, followed very closely by new customer acquisition.
In concert with the launch of Nielsen’s 2022 Annual Marketing Report, we spoke to Jamie Moldafsky, Nielsen’s chief marketing and communications officer, about the importance of brand, the intersection of brand and acquisition, understanding full consumer journeys and the value of scalable data...
This report examines the global consumer shifts over the last two years and their impact on sports sponsorship models and content distribution.
There is no substitute for live sports action, but the proliferation of content across an expanding array of platforms has sparked increased consumption of additional sports content—both related to and not related to live matches.
The quick wins as a result of conversion-dominated marketing may feel rewarding at the moment, but it often does not lead to long-term brand growth.
While brands can use data to inform messaging, leverage modern martech to improve targeting and measure engagement to gauge performance, there is one facet of marketing that modern technology can’t help with: consumer trust.
Big data sets don’t have rich details about actual people—from age, to income, to race and ethnicity—the way you do with a robust panel. These data sets, because they’re created by machine-to-machine transfers, also increase the possibility of waste and fraud.