Description
In lead scoring models, you ensure that each value you assign reflects the level of compatibility each lead has with your product. In most lead scoring models, you will create a score based on an attribute of your core customer. Typical lead scores range from 0 to 100.
Your business model and your lead database can make this process more complicated quickly. In real-time lead scoring, multiple attributes are taken into account, including positive and negative characteristics of the contact, the company or the deal, which all have different weights and dynamic effects during the various stages of the customer journey.
Our course will explain what data to look at, how to find the most important attributes, and how to calculate a lead score to make this process a little easier for you.
The following 5 lead scoring models are based on the type of data you can capture from customers:
- Demographic Information
- Company or Contact Information
- Email Engagement
- Social and Ads Engagement
- Spam Detection
Choosing which attributes to include in your model is an art. Based on your interactions with leads and customers, your sales team, your analytics, and so on, you will choose attributes. Five different people could do the same exercise, and they could come up with five different models. But that's okay as long as your scoring is based on the data we discussed.
Course Lessons -
- Deal Score
- Company Score
- Contact Score
- Lead Score (Copy of Deal Score to Company and Contact
- Copy Company Score to Deals and Contacts
- Create a lead scoring system
More from the HubSpot course series -
- Marketing Automation Course
- Sales Automation Course
- Smart Active List Course
- Data Enrichment Workflows
- Custom Properties
- Best Practices
- Lead Scoring
- Special Reports
- Landing Pages
- Social Media