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.
The data generated by our day-to-day activities can help brands and marketers understand consumer needs and drive growth for their businesses. But first, they need to make sense of all the data.
Granularity matters to marketers because it gives them the ability to distill huge chunks of marketing activity so that you can understand the smaller components.
With so many DMP vendors fighting to stand out, it’s no surprise that many marketers aren’t able to truly differentiate the competing solutions. And to be fair, from an eagle’s eye view, I don’t know that there is a way to.
Marketers today have more than enough data available to them, but they’re looking for better ways to use and connect their data sets to gain deeper, more valuable insights.
Data is everywhere. As our individual behaviors leave an ever-expanding data footprint, we are faced with the challenge of making sense of all of this data and extrapolating meaningful insights to drive performance.
Aligning your organization toward common goals is challenging, especially when the goals change. That’s because it’s common for marketing teams to operate in silos. Most marketing organizations are split between marketing and media, and the split is compounded by multiple layers up and down the...
As marketers seek greater accountability in today’s increasingly omnichannel shopper landscape, demand for outcome-based ROI measurement has become more important than ever across the media, retail and FMCG industries.
In about four months, we’ll have officially made it to "the future"—at least according to the time-stamp on Doc Brown's DeLorean in the "Back to the Future" movie series. So now that we’re there, what will 2020 look like?