How to Use HubSpot Predictive Lead Scoring

HubSpot includes a powerful predictive lead scoring feature that calculates a contact or company’s likelihood to close so your sales team can focus on the deals that matter most.

This guide walks you through how predictive scoring works, how to access and use it, and how to interpret the results to improve your pipeline management.

What Is HubSpot Predictive Lead Scoring?

Predictive lead scoring in HubSpot uses machine learning to examine your CRM data and automatically score records based on how likely they are to become customers.

Instead of building scoring rules manually, the system analyzes patterns in your closed-won and closed-lost data and creates scores using historical behavior and property values.

Key concepts of HubSpot predictive scoring

• Likelihood to close: A percentage score from 0 to 100 that estimates the chance a contact or company will close in the next 90 days.
• Contact and company scores: Two separate predictive properties are created, one for contacts and one for companies.
• Read-only properties: Predictive scores are system-generated and cannot be edited directly.
• Automatic recalculation: Scores update regularly as new data and activities are added.

Requirements for HubSpot Predictive Scoring

Before you can use predictive lead scoring, your HubSpot account must meet certain prerequisites. These requirements ensure there is enough historical data for the model to be accurate.

Subscription and data requirements in HubSpot

• You need a qualifying paid HubSpot subscription that includes access to predictive lead scoring.
• You must have a sufficient number of closed-won and closed-lost deals associated with contacts and companies.
• Your deals should contain consistent, reliable property data (such as lifecycle stage, lead status, deal stage, and amount).

If minimum data thresholds are not met, HubSpot may delay or prevent generation of predictive scores until your CRM contains enough information to build a reliable model.

How HubSpot Calculates Likelihood to Close

The predictive model in HubSpot evaluates patterns across your CRM and assigns each contact and company a score that represents the probability they will become a customer in the near term.

Data inputs used by HubSpot

The system considers many types of properties and activities, including:

• Lifecycle stages and lead statuses
• Deal association and deal stages
• Form submissions, email engagement, and website activity
• Property values such as industry, job title, country, and source

HubSpot’s machine learning engine identifies which factors correlate with successful deals. Those signals are then used to calculate the likelihood to close score for every eligible record.

Understanding the predictive properties in HubSpot

When predictive scoring is available, you will see new properties added to your CRM:

• Likelihood to close (contact property)
• Company likelihood to close (company property)

These properties store the 0–100 score for each record. Higher scores indicate a higher probability to close within the prediction window.

How to Access Predictive Scores in HubSpot

You can view and use predictive scores across the CRM within properties, filters, lists, workflows, and reports.

Step 1: Locate predictive properties

1. In your HubSpot account, go to Settings.
2. Navigate to Properties.
3. Select the Contact or Company object.
4. Search for the predictive properties, such as Likelihood to close.

Here you can confirm that the predictive properties exist and are actively populated.

Step 2: View scores on records

1. Open a contact or company record.
2. In the left-hand sidebar, locate the predictive score property.
3. Review the current percentage value for that specific record.

You can customize record sidebars to make the predictive score more prominent for your sales and service teams.

Using HubSpot Predictive Scores to Prioritize Leads

Once predictive scores are available, you can use them to prioritize and segment your pipeline so reps focus on the most promising opportunities.

Create filtered views with HubSpot scores

1. Open your contacts or companies index page.
2. Click Add filter.
3. Choose the predictive property (for example, Likelihood to close).
4. Set conditions such as “is greater than 70.”
5. Save the view and share it with your team.

This lets you create dynamic views of high-priority leads or accounts based on HubSpot predictive scoring.

Build lists based on HubSpot predictive scoring

1. Navigate to Lists in your CRM.
2. Create a new active list.
3. Add a filter using the predictive score property.
4. Define ranges such as:

• High-priority: score >= 80
• Medium-priority: 50–79
• Low-priority: < 50

Use these lists for targeted marketing campaigns, sales outreach, and reporting.

Automation with HubSpot Predictive Scores

Predictive scores integrate with automation so you can streamline lead routing and follow-up.

Use scores in workflows in HubSpot

1. Go to Automation > Workflows.
2. Create a contact- or company-based workflow.
3. Set enrollment triggers based on the predictive score property (for example, score >= 70).
4. Add actions such as:

• Assigning the record to a specific sales owner.
• Creating a task for immediate outreach.
• Adding the record to a priority nurture sequence.

This approach ensures that your best leads are followed up quickly and consistently.

Reporting on Predictive Lead Scoring in HubSpot

You can bring predictive scores into dashboards and reports to understand how well your pipeline is performing.

Example reporting use cases

• Compare conversion rates by score range to validate model quality.
• Measure revenue generated from high-score vs. low-score segments.
• Track average predictive score of newly created leads over time.

Use these insights to refine your sales process and optimize marketing efforts around high-likelihood profiles identified by HubSpot.

Limitations and Considerations

Predictive scoring is powerful, but it still depends on data quality and volume.

• Insufficient historical data can delay score generation.
• Changes in your sales process may temporarily affect model accuracy.
• You cannot manually edit predictive properties; they are controlled by the system.

Review your CRM hygiene practices regularly so that HubSpot can maintain accurate, reliable scores.

Where to Learn More About HubSpot Predictive Scoring

For the full official documentation, review the HubSpot knowledge base article on predictive lead scoring here: HubSpot predictive lead scoring guide.

If you need strategic help implementing CRM processes, optimizing your portal, or aligning predictive scoring with your sales playbook, you can also work with a specialized consultancy such as Consultevo.

Next Steps

To get started, verify that predictive scoring is enabled in your HubSpot account, locate the likelihood to close properties, and begin building views, lists, workflows, and dashboards that place high-scoring leads at the center of your sales strategy.

As your CRM data matures, keep monitoring your results and iterating on how you segment and prioritize your records so you can extract maximum value from HubSpot predictive lead scoring.

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