Jobvite Success Story

One of our customers from Jobvite spoke at Dreamforce this year. They were nice enough to share their experience implementing predictive scoring.

Ronen Shetelboim


Why did Jobvite Choose Infer?
This market is very hot right now, there are so many different solutions. We are very analytical on my team, so we tested them all, and by far we had the best experience with Infer. A combination of how professional they are and the quick response and the algorithms, all of that together.

Mapping the Future of Predictive

There’s no doubt about it, the predictive space is heating up. And with all the noise out there, it can be difficult to understand what separates one predictive vendor from another. To help navigate the space and see where the technology is headed, we thought it’d be helpful to draw an analogy to the evolution of maps. Today we we’re excited to unveil an interactive page to tell the story. Check it out!

Mapping the Future of Predictive

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 >