Many B2B marketers are already familiar with the value of lead scoring, but implementing a customized lead scoring system that actually works is an arduous task. One of the main reasons for this is that marketers lack the customer data that are truly relevant to their unique business context and the insights to utilize them.

On the other hand, there is a vast amount of useful data from all over the Web that can augment the customer data you already have in your CRM or marketing automation platform…if you know where to look.

Enter predictive lead scoring…or what we call “customer intelligence”.

With predictive lead scoring, you can change the sales-marketing dynamic from lead to revenue and help both teams focus on finding the next deal in the database haystack.

In this white paper, you’ll learn how predictive lead scoring can help you prioritize your leads so that you can:

• Give white-glove treatment for high priority leads to sales based on the likelihood to buy
• Stop harassing people who are never going to buy – instead spend time closing business
• Help sales have relevant and consultative conversations with prospects by identifying needs and challenges and offering optimal solutions