Historical Behavior Scoring (HBS) helps to connect these dots. Drawing from a pool of more than 300 million emails sent, DMP uses a proprietary algorithm to assign numeric scores to your leads based on the type, frequency, and recency of their engagement with similar offers. HBS allows you to define the time period, from the past couple of weeks to the past couple of years.
We have perfected our unique lead scoring options through years of data. We can help you get the kinds of leads that matter. Contact us today and we will help to build the right lead gen strategy for your business.
Traditionally, lead generation has centered on the capture; the moment when the viewer enters their information and clicks submit. Those who did so were considered leads and those who didn’t were not. Though obviously important, the capture provides only a narrow view of a lead.
In reality, the form completion is just one data point in a much longer string of behaviors. Users download content for all sorts of reasons, from evaluating products to just staying up to date. Context is the key to telling the former from the latter.
Two Ways to Append Historical Behavior Scores:
Engagement Data
Behavioral scores are equally valuable across the full spectrum of campaign engagement. Appending HBS to all the opens, clicks, and form completions is the only way to realize the full value of your campaign. Scores for leads help to inform follow-up conversations and nurture, while scores for clicks and opens can help to identify near-misses and key opportunities for re-targeting.
Lead Generation
HBS is a natural fit for a lead generation campaign. For a small adjustment in CPL, you get the contextual information required to make informed follow-up decisions for each lead. You can separate educated prospects from and those just starting their journey. HBS scores also provide an enhanced baseline for lead scoring, helping to accelerate leads through your nurture process.