Illustration Of Revenuepedia - Lead Scoring

What Is Lead Scoring?

Lead scoring is the method of assigning points to a contact or potential prospects based on how closely they resemble your buyer persona. The higher the lead score, the more likely the lead is to be a good fit for your product or service.

What Is Contact Scoring?

Contact scoring is a methodology that involves ranking contacts (enter: leads and customers alike) based on criteria such as company information and how and how recently they’ve interacted with your business. It allows you to identify high-value opportunities, re-engage clients you can cross-sell or upsell to, and capture disenfranchised clients before they’re gone for good. 

What Is Data Quality For Lead Scoring?

Data quality for lead scoring involves ensuring the data input into lead scoring models is clean, standardized, and scorable, resulting in more reliable lead scoring models and a smoother lead handoff process.

What Is Data Enrichment?

Data enrichment is a process that allows companies to gather raw data about customers and leads by matching the existing data in their existing database with third-party data. This results in updated and enriched data, giving pertinent information about contacts.

What Is Lead Handoff?

Lead handoff is the process of handing over leads generated by marketing to sales so that the sales team can nurture, qualify and convert them into paying customers.

What Is Firmographic Data?

Firmographic data is a collection of descriptive attributes (aka key characteristics) about businesses that may be utilized to develop distinct market segments and find high-value clients.

What Is Predictive Lead Scoring?

Predictive lead scoring is a data-driven approach that applies big data and machine learning algorithms to lead scoring to find the right combination of behaviors and key attributes of existing and potential customers. Then, these attributes are automatically matched and ranked to those of new leads.