Developing a HubSpot Lead Scoring Model

4 min read
March 2022

How To Develop A HubSpot Lead Scoring Model

One of the core differences between outbound and inbound marketing is that in outbound marketing, you’re actively reaching for the sale rather than attracting people into doing business with you.

Instead, when companies go inbound, people come to them through whatever channel they’ve chosen — social media, blog posts, and more — and actively engage before deciding to do business. For many teams, this shift means that the sense of “control” is lost — how do we know who’s going to buy if the salesperson isn’t leading the conversation?

That’s where lead scoring comes in.

What is lead scoring?

Lead scoring is the process of using data to qualify a potential lead depending on how they interact with our business in order to prioritize an outreach strategy. A few examples of interactions that would make a lead’s score change include:

  • Requesting a live demo
  • Booking a consultation
  • Downloading multiple resources
  • Signing up for a free e-course
  • Clicking the links in your emails

We want to qualify — or score — incoming leads because not everyone who engages with inbound marketing will be a potential buyer. The competitor who’s checking out a PDF would fall into a different bucket than the reader who’s using tutorials to set up a process.

What is a HubSpot Score?

A HubSpot score is simply a score assigned to your contacts based on their interaction and other “ranking” factors such as demographics and company details within the HubSpot CRM to measure how likely each contact is to become a customer.

You could create a manual system for lead scoring. But HubSpot has a tool called Predictive Lead Scoring that takes different attributes into account to qualify leads and let us know how likely they are to buy within a certain period of time. A couple of key terms you need to understand:

  • Likelihood to close: This is a percentage-based score that tells you how likely contact is to become a customer within three months.
  • Contact priority: Based on this likelihood, HubSpot assigns a priority to contacts (with the highest likelihood having the highest priority) so your sales team can act accordingly and engage in conversation with those who are on track for closing within the three months.

Developing your lead scoring model in HubSpot

To implement a lead scoring model in HubSpot, the first thing you need to do is analyze past data to determine what common characteristics you can find among your deals won and your deals lost. It’s these characteristics that will help you define the attributes that will be used to add or subtract points from a contact.

Look for these attributes to start your lead scoring model:

Demographic information

Factors like age, location, and whether or not the person has children, for example, can add or subtract “points” from your contact’s lead score depending on who your target audience is.

Employee & company insights

Filter contacts by job title, seniority, decision-making, or what department they belong to.

Similarly, if your company sells primarily to other businesses, you can filter leads based on how closely a contact’s company matches the profiles of the businesses you typically work with. What industry do they belong to? Do they have a minimum yearly revenue? A specific number of employees? Where are they based? 

Contact interactions

The lead’s initial point of contact can also make a significant difference in their lead score. Did they request a demo or consultation — or did they download a workbook? Additionally, a prospect that includes non-required information in a form (like a phone number or a message explaining their needs) would probably get a higher score.

Once you have the hard data, it’s time to find trends. We want to use both positive and negative attributes to create a more accurate system. A positive attribute is a box your contact checks, like having the job title you’re most likely to engage with or being a decision-maker within their organization. On the flip side, a negative attribute could be repeated visits to the Jobs page, which could signal a candidate rather than a prospective customer.

The key here is to assign a value to each characteristic that will add up to give you the lead score. The value for each characteristic is a comparison of how likely a contact with this characteristic is to close vs. your overall conversion rate. 

How to build a HubSpot Score

Once you identified the positive and negative attributes for your lead scoring model and assigned values to them, it’s time to create the score properties in HubSpot.

Watch the video below to find a step-by-step play on how to create each attribute within the HubSpot CRM.

 

Once you’ve created the attributes in HubSpot, your contacts’ score will show up as a property, like this:

Lead scoring is a crucial process for sales teams — but it doesn’t have to be manual

Manually scoring leads can cost your team endless hours and energy they could be using to engage qualified prospects instead of sorting through data.

To help you develop a lead scoring model, we created this Lead Scoring Cheat Sheet which will give you an accurate representation of how much each attribute increases a lead’s likelihood to become a customer.

Build a Lead Score with our Cheat Sheet 

Download HubSpot Salesforce Integration Guide

 

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