The stores we shopped in yesterday are not the stores we are shopping in today, and unlikely to be those we shop in tomorrow. There is no longer a need to squint … our data scientists have brought this phenomenon into plain sight.
Join CPG and Retail industry experts from Nielsen, Quotient and our guest Forrester Research for a lively and insightful on-demand discussion on how consumer behaviors are shifting and what it takes to build marketing strategies resilient to change.
With the holidays fast approaching, CPG advertisers will soon need to navigate a new normal of COVID-19 during what’s typically their busiest season. They’ll need the right customer intelligence data to design strategic campaigns and connect with shoppers.
Truth in measurement has never been more important than it is today. Therefore, truth is our only agenda. But arriving at that truth has never been more complicated. While many view big data as a panacea for measurement in a digitally rich world, we know it’s not that simple.
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.
Being able to measure in a way that fairly represents all races, ages, ethnicities and behaviors is crucial for the industry to transact with confidence. It’s also the only way to make sure that content choices reflect the diversity of a given station’s community.
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.
Many marketers know that machine learning and artificial intelligence will change how they do their job, but it’s still unclear exactly what will change and how fast. To get a glimpse of what the road ahead looks like, we asked a few of our data scientists to share what they think the biggest...