What’s the Difference Between Traditional and Predictive Behavior Scoring?

This is a question we get asked a lot. 

Instead of manually adding points for a given action, a predictive behavioral score mines the full spectrum of activity-data being collected by your marketing automation platform including every email click, website visit, and social engagement. Machine learning is used to weigh each signal appropriately in order to predict the likelihood of an outcome (e.g. conversion) within a set time period (e.g. next three weeks).

Learn the difference betweem tradition and predictive behavior lead scoring
To help explain these concepts in more detail we’ve put together a new eBook. Inside you’ll learn:

  • The six most common use cases for behavior scoring
  • Best practices for operationalizing your fit and behavior scoring
  • Why predictive behavioral models are more powerful than the scoring you’ll find in traditional marketing automation platforms

Download your copy here >

 

Sean Zinsmeister

Sean Zinsmeister

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Senior Director of Product Marketing at Infer Sean crafts the positioning, messaging and overall go-to-market strategy for Infer’s trove of next-generation predictive sales & marketing products. Once a satisfied Infer customer himself, Sean joined Infer from Nitro, where he developed and led an award-winning global marketing team.