# Lead Scoring and Grading in Pardot: How to Automatically Qualify Leads in 2026 ## Table of Contents - [Introduction](#introduction) - [What Is Lead Scoring in Pardot](#what-is-lead-scoring-in-pardot) - [What Is Grading in Pardot](#what-is-grading-in-pardot) - [Differences Between Scoring and Grading](#differences-between-scoring-and-grading) - [How to Configure Lead Scoring in Pardot](#how-to-configure-lead-scoring-in-pardot) - [How to Configure Grading in Pardot](#how-to-configure-grading-in-pardot) - [Lead Scoring with Einstein AI in Pardot 2026](#lead-scoring-with-einstein-ai-in-pardot-2026) - [Integrating Scoring with Salesforce CRM](#integrating-scoring-with-salesforce-crm) - [Practical Use Cases for Scoring and Grading](#practical-use-cases-for-scoring-and-grading) - [Common Mistakes in Scoring Configuration](#common-mistakes-in-scoring-configuration) - [Frequently Asked Questions](#frequently-asked-questions) - [Conclusion](#conclusion) - [References](#references) --- ## Introduction Lead scoring and grading are two of Pardot's most powerful features for prioritising leads and improving sales team efficiency. However, they are also two of the most misunderstood and poorly configured features. This guide explains in detail what scoring and grading are, how to configure them correctly, and how to use them to automate lead qualification in B2B environments in 2026. --- ## What Is Lead Scoring in Pardot Lead scoring is a scoring system that measures a prospect's **level of interest** in your product or service. Each action the prospect takes (opening an email, visiting a page, downloading an ebook, requesting a demo) adds or subtracts points from their score. The score is a number ranging from 0 to infinity (although in practice ranges of 0–100 or 0–200 are typically used). A high score indicates that the prospect is very interested and active; a low score indicates that the prospect is inactive or has not engaged with your content. ### Pardot Default Scores Pardot has a default scoring system that you can customise: | Action | Default Points | |---|---| | Open email | +1 | | Click link in email | +2 | | Visit web page | +1 | | Complete form | +5 | | Download file | +5 | | Request demo | +10 | | Visit pricing page | +3 | | Watch video | +2 | | Attend webinar | +5 | | Email bounced | -5 | | Mark as spam | -50 | ### Score Decay In Pardot, the score does not automatically decrease over time. However, you can configure Automation Rules to reduce the score of prospects who have had no activity for more than 30 or 60 days. This is important to prevent inactive prospects from having high scores that confuse the sales team. --- ## What Is Grading in Pardot Grading is a qualification system that measures a prospect's **level of fit** with your ideal customer profile (ICP). Unlike the score (which measures interest), the grade measures whether the prospect has the characteristics of the type of company and person that buys your product. The grade ranges from F (worst fit) to A+ (best fit), passing through D, C, B, A. A high grade indicates that the prospect has the characteristics of the ideal customer; a low grade indicates that the prospect does not match your ICP. ### Typical Grading Criteria Grading criteria are based on prospect profile attributes: | Criterion | Impact on Grade | |---|---| | Job title = Director/VP/C-Level | +++ | | Job title = Manager | ++ | | Job title = Analyst/Coordinator | + | | Company size = 50–500 employees | +++ | | Company size = 500+ employees | ++ | | Company size = 1–50 employees | + | | Industry = Software/SaaS | +++ | | Industry = Manufacturing | ++ | | Country = UK/Europe | +++ | | Country = North America | ++ | | Corporate email | ++ | | Free email (Gmail, Hotmail) | -- | --- ## Differences Between Scoring and Grading Confusion between scoring and grading is one of the most common mistakes in Pardot configuration. This table summarises the key differences: | Feature | Scoring | Grading | |---|---|---| | What it measures | Level of interest (behaviour) | Level of fit (profile) | | Scale | 0 to infinity | F to A+ | | Based on | Prospect actions | Profile attributes | | Changes over time | Yes (increases with each action) | No (only changes if profile changes) | | Who manages it | Marketing | Marketing (with sales input) | | Purpose | Identify active prospects | Identify prospects that match the ICP | ### The Right Combination: Scoring + Grading The real power of Pardot's qualification system lies in the **combination** of scoring and grading. An ideal prospect has both a high score (is interested) and a high grade (matches the ICP). Pardot qualification matrix: | | Grade A/B (good fit) | Grade C/D (medium fit) | Grade F (poor fit) | |---|---|---|---| | **High score** | MQL → Pass to sales | Intensive nurturing | Do not contact | | **Medium score** | Nurturing with valuable content | Basic nurturing | Do not contact | | **Low score** | Reactivation nurturing | Basic nurturing | Remove | --- ## How to Configure Lead Scoring in Pardot ### Step 1: Define Qualification Thresholds Before configuring scoring, define the thresholds that will determine when a prospect is an MQL: - **MQL:** Score ≥ 40 (or the threshold you define with the sales team). - **SQL:** Score ≥ 60 + Grade ≥ B. - **Inactive:** Score ≥ 20 but no activity in the last 30 days. ### Step 2: Customise Action Scores Go to **Pardot Settings → Scoring** and customise the scores for each type of action. Consider increasing the scores for high-value actions (request demo, visit pricing page) and reducing those for low-value actions (open email). ### Step 3: Create Scoring Categories Pardot allows scoring categories to be created to measure interest in specific products or areas. For example: - **Product A scoring:** Only adds points when the prospect interacts with content related to Product A. - **Product B scoring:** Only adds points when the prospect interacts with content related to Product B. ### Step 4: Configure Score Decay Create Automation Rules to reduce the score of inactive prospects: - Rule: If the prospect has had no activity in the last 30 days, reduce the score by 10 points. - Rule: If the prospect has had no activity in the last 60 days, reduce the score by 20 points. --- ## How to Configure Grading in Pardot ### Step 1: Define the Ideal Customer Profile (ICP) Before configuring grading, clearly define your company's ideal customer profile: - What job titles do your best customers have? - What size are the companies of your best customers? - What industries do they operate in? - What countries are they in? ### Step 2: Create Grading Profiles in Pardot Go to **Pardot Settings → Profiles** and create a grading profile. For each ICP criterion, assign a positive or negative impact on the grade. ### Step 3: Assign the Profile to Prospects Pardot automatically assigns the grading profile to prospects when a new record is created. You can have multiple grading profiles for different market segments. --- ## Lead Scoring with Einstein AI in Pardot 2026 In 2026, Pardot Advanced and Premium include Einstein Lead Scoring, Salesforce's AI-based predictive scoring system. Einstein Lead Scoring analyses your company's conversion history and automatically generates a predictive score for each prospect. ### Advantages of Einstein Lead Scoring - **Based on real data:** Einstein analyses your company's historical conversion patterns, not generic manual scoring criteria. - **Automatically updated:** The model is continuously updated with new conversion data. - **Explains scoring factors:** Einstein shows which factors have contributed most to each prospect's score. ### Limitations of Einstein Lead Scoring - **Requires historical data:** Einstein needs at least 1,000 converted prospects to generate an accurate model. - **Only available on Advanced and Premium plans:** Not available on Growth and Plus plans. - **Does not replace manual scoring:** Einstein Lead Scoring is a complement, not a replacement for manual scoring. --- ## Integrating Scoring with Salesforce CRM Integrating Pardot scoring with Salesforce CRM is essential for the sales team to be able to see the score and grade of each prospect directly in Salesforce. ### Fields Synchronised with Salesforce With the integration active, the following Pardot fields are synchronised with Salesforce: - **Pardot Score:** The prospect's behaviour score. - **Pardot Grade:** The prospect's fit grade. - **Einstein Score:** Einstein's predictive score (if available). - **Pardot Last Activity:** The date of the prospect's last activity in Pardot. ### Using Scoring in Salesforce Sales Processes With scoring fields available in Salesforce, you can: - **Sort leads by score:** The sales representative can see leads sorted by score and prioritise the hottest ones. - **Create list views filtered by score and grade:** For example, an "MQL Leads" view showing only leads with Score ≥ 40 and Grade ≥ B. - **Create assignment rules based on score:** Automatically assign leads with Score ≥ 60 to the most senior sales representative. --- ## Practical Use Cases for Scoring and Grading ### Use Case 1: Automating MQL-to-Sales Handoff **Configuration:** - Automation Rule: If Score ≥ 40 AND Grade ≥ B → Update Lifecycle Stage to "MQL" → Notify assigned sales representative → Create task in Salesforce. **Result:** The sales team automatically receives a notification when a prospect reaches the MQL threshold, with all the information about their recent activity. ### Use Case 2: Segmentation for Personalised Nurturing **Configuration:** - Dynamic list "Intensive nurturing": Score ≥ 20 AND Grade ≥ B AND Lifecycle Stage = "Lead". - Dynamic list "Basic nurturing": Score < 20 AND Grade ≥ C AND Lifecycle Stage = "Lead". - Dynamic list "Re-engagement": Score < 10 AND Lifecycle Stage = "Lead" AND last activity > 60 days. **Result:** Each segment receives a nurturing programme adapted to their level of interest and fit. --- ## Common Mistakes in Scoring Configuration ### Mistake 1: Using Default Scores Without Customising Them Pardot's default scores are generic and do not reflect the real value of each action for your specific business. Always customise scores based on the real impact of each action on the probability of conversion. ### Mistake 2: Not Configuring Score Decay Without score decay, prospects who were active 6 months ago still have high scores even if they are no longer interested. Always configure score decay rules to keep scores up to date. ### Mistake 3: Not Aligning Scoring with the Sales Team Scoring is only effective if the sales team trusts it and uses it. Involve the sales team in defining MQL and SQL thresholds, and regularly review whether the leads passed to sales are truly qualified. ### Mistake 4: Using a Single Grading Profile for All Segments If your company sells to different types of customers (for example, small businesses and enterprise companies), you need different grading profiles for each segment. A "Director" job title at a 10-employee company does not have the same value as at a 500-employee company. --- ## Frequently Asked Questions **What is the recommended score threshold for defining an MQL in Pardot?** There is no universal threshold. The correct threshold depends on your business model, your sales cycle and the quality of your leads. The most important thing is to define the threshold in collaboration with the sales team, based on historical conversion data. **Can I have multiple scoring systems in Pardot?** Yes, Pardot allows scoring categories to be created to measure interest in specific products or areas. This is especially useful if your company sells multiple products or services. **Is Pardot grading the same as HubSpot lead scoring?** No. Pardot grading measures the prospect's fit with the ICP (based on profile attributes). HubSpot lead scoring measures the prospect's interest (based on behaviour). They are different concepts that complement each other. **Can I import scoring from another system into Pardot?** Yes, you can import scores from other systems through the Pardot API or via CSV import. However, imported scores will not be automatically updated; you need to configure scoring rules in Pardot for scores to update with new prospect actions. **How do I know if my scoring system is working correctly?** The best way to validate the scoring system is to analyse the conversion rate of leads passed to sales. If leads with Score ≥ 40 have a significantly higher conversion rate than leads with Score < 40, the system is working correctly. --- ## Conclusion Lead scoring and grading are two complementary tools that, when configured correctly, allow lead qualification to be automated and significantly improve sales team efficiency. The key is to understand the difference between scoring (interest) and grading (fit), customise scores based on real conversion data, and align the system with the sales team. At Emovere we specialise in the configuration and optimisation of lead scoring and grading in Pardot. If you need help implementing or improving your lead qualification system, contact our team. --- ## References [1] Salesforce — Pardot Lead Scoring and Grading Documentation. https://help.salesforce.com/s/articleView?id=sf.pardot_scoring_and_grading.htm [2] Salesforce Trailhead — Lead Scoring and Grading with Pardot. https://trailhead.salesforce.com/ [3] Salesforce — Einstein Lead Scoring Documentation. https://help.salesforce.com/ [4] Heinz Marketing — B2B Lead Scoring Best Practices. https://www.heinzmarketing.com/ [5] Sirius Decisions — Lead Scoring Waterfall Model. https://www.siriusdecisions.com/