PurePredict combines three sets of intent data to identify where an account is in its buyer’s journey and determine buying intent while eliminating false or lower-quality leads. The data sets include::
- First-party intent, which provides contact-level content consumption and behavioral trends for identifying leads with the highest levels of intent;
- Trigger-based intent that provides intent insights based on buyers’ engagement on specific social media, SaaS and technology platforms; and
- Content Engagement, which analyzes buyer interaction with websites and specific keywords to determine the level of intent.
"Marketers today are being challenged with owning more of the funnel — not only on MQLs but pipeline and revenue, as well — and it is harder than ever before to identify who the correct buyer is and the best time to engage them,” explained Christopher Rack, President of PureB2B, in a statement. “Intent data was once viewed as the answer to these problems, but it's become fragmented and costly, often limiting marketers to single types of intent, which leaves significant gaps in either validity or scale. Our mission is to optimize demand generation, so we knew it was time to reimagine intent data and super-charge the analytics behind it — and that's exactly what we have accomplished with PurePredict."