If you have your own data science and analytics teams, they’re on the lookout for new data elements that improve your ability to predict customer and prospect response.
Well, it doesn’t get any better than this. We call it brand-relevant data, and it’s powerful stuff.
By applying advanced predictive analytics to the largest set of U.S. individual-level spending behavior and interest intensity signals, we produce scores that rank the entire U.S. consumer population by likelihood to spend money with you, your competitive set, and even brands in related categories.
In addition to spending-based data, we analyze social media engagement signals that further help to predict consumer purchase intent. Our brand-relevant data is also informed by scores arising from our proprietary partnership with Amex Advance℠, the consumer insights business of American Express.
As a result, the data elements we supply for use in your data science environment enable you to:
So if your analytics team is looking for new data resources to help you compete more effectively, let’s talk. Our data group makes it easy to get started.
Let us show you what makes Wiland Brand-Unique Data uniquely powerful for fueling breakthroughs in predictive modeling.