MakingSense of Predictive Analytics

In this episode of MakingSense, Justin breaks down predictive analytics along with its three data sources - intent data, historical data and firmographic/technographic data (ICP). Using predictive analytics enables your revenue teams to takeaway all of the guesswork and prioritize Marketing and Sales efforts on accounts that are a strong ICP fit and have strong intent to buy.

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In Unpredictable Times, How Do You Predict Revenue? Hint: You Need to Know Who’s In-Market, as seen on MarTech Series
In Unpredictable Times, How Do You Predict Revenue? Hint: You Need to Know Who’s In-Market, as seen on MarTech Series

It is no secret Sales and Marketing are still misaligned when it comes to measuring what matters — and it’s...

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Revenue Marketing Meets Customer Experience with Ashley Stepien, VP of Marketing at Webflow
Revenue Marketing Meets Customer Experience with Ashley Stepien, VP of Marketing at Webflow

We sat down with Ashley Stepien, VP of Marketing at Webflow to talk some sense about revenue marketing, sal...