Your sales team is drowning in leads, but not all leads are created equal. Some are ready to buy today while others are just browsing—and without a system to tell them apart, your reps waste hours chasing prospects who'll never convert. Automated lead scoring software solves this by analyzing behavioral signals, demographic data, and engagement patterns to rank leads by their likelihood to purchase. The result? Sales teams focus on hot prospects while marketing nurtures the rest.
We've evaluated dozens of platforms to bring you the top solutions for 2026, considering factors like AI capabilities, integration depth, ease of setup, and scalability for growing teams. Here are the best automated lead scoring tools available today.
1. Orbit AI
Best for: Teams who want to score and qualify leads at the moment of form submission
Orbit AI takes a fundamentally different approach to lead scoring by qualifying prospects before they even enter your CRM.
Where This Tool Shines
Most lead scoring happens after a prospect is already in your database. Orbit AI flips this model by building intelligent qualification directly into your forms. The platform analyzes responses, behavioral signals, and engagement patterns in real-time as prospects fill out your form.
This means your sales team receives pre-qualified leads with scoring data attached from the first moment of contact. No waiting for enough data to accumulate. No manual review of form submissions to determine quality.
Key Features
AI Lead Qualification: Machine learning analyzes form responses and assigns qualification scores instantly based on your criteria.
Instant Behavioral Scoring: Tracks how prospects interact with your form—time spent, field completion patterns, and engagement signals.
Native CRM Integrations: Pushes scored leads directly into HubSpot, Salesforce, and other platforms with qualification data intact.
Customizable Criteria: Define what makes a qualified lead for your business and let the AI adapt its scoring model.
Conversion-Optimized Design: Beautiful form templates designed to maximize completion rates while capturing qualification data.
Best For
High-growth teams who want to eliminate the lag between lead capture and qualification. Particularly valuable if you're running paid advertising campaigns where every lead costs money—you'll know immediately which clicks converted into quality prospects.
Pricing
Free tier available for teams getting started. Paid plans begin at competitive rates designed for growing businesses that need advanced qualification capabilities.
2. HubSpot Lead Scoring
Best for: Teams already using HubSpot who need comprehensive scoring within their existing ecosystem
HubSpot Lead Scoring offers both manual rule-based scoring and AI-powered predictive models within the all-in-one CRM platform.
Where This Tool Shines
If your marketing and sales operations already run on HubSpot, the native lead scoring eliminates integration headaches. The platform tracks every interaction a contact has with your brand—email opens, website visits, content downloads, social engagement—and factors it all into a unified score.
The predictive scoring feature uses machine learning trained on your historical conversion data. It identifies patterns you might miss manually and automatically adjusts scoring models as your ideal customer profile evolves.
Key Features
Predictive Lead Scoring: Machine learning analyzes which contacts historically converted and scores new leads based on similarity patterns.
Custom Scoring Rules: Build manual scoring based on any contact property, from job title to industry to specific behaviors.
Negative Scoring: Automatically deduct points for disqualifying attributes like personal email addresses or unsubscribes.
Workflow Automation: Trigger automated actions when leads hit specific score thresholds—route to sales, add to nurture sequences, or update contact properties.
Seamless Integration: Scoring data flows naturally through HubSpot's marketing, sales, and service tools without additional configuration.
Best For
Companies committed to the HubSpot ecosystem who want enterprise-grade scoring without leaving their platform. Best suited for teams with established marketing automation workflows.
Pricing
Lead scoring becomes available in the Professional tier of Marketing Hub, which starts at $800 per month. Predictive scoring requires the Enterprise tier.
3. Salesforce Einstein Lead Scoring
Best for: Enterprise teams with complex sales processes who need AI scoring at scale
Salesforce Einstein Lead Scoring brings machine learning-powered predictions directly into the world's most widely-used enterprise CRM.
Where This Tool Shines
Einstein analyzes your historical conversion data to identify which lead characteristics and behaviors actually correlate with closed deals. The system trains itself on your specific sales patterns rather than generic industry benchmarks.
What sets Einstein apart is transparency. The platform doesn't just assign scores—it shows you which factors influenced each prediction. Your sales team can see that a lead scored high because of industry fit, recent engagement, and budget signals, helping them tailor their approach.
Key Features
Self-Training Models: Machine learning continuously analyzes your conversion data and updates scoring models as patterns change.
Transparent Scoring Factors: See exactly why each lead received its score, enabling smarter sales conversations.
Deep CRM Integration: Scoring data appears directly in Salesforce records, reports, and dashboards without custom development.
Account-Level Scoring: Score entire accounts and opportunities, not just individual leads, for account-based selling strategies.
Automatic Retraining: Models refresh regularly to reflect your evolving ideal customer profile and market conditions.
Best For
Large organizations with substantial Salesforce investments and enough historical data to train accurate machine learning models. Works best with at least several hundred closed deals in your database.
Pricing
Included with Sales Cloud Einstein, which is an add-on to standard Salesforce editions. Pricing varies by your existing Salesforce package but typically represents a significant investment.
4. Madkudu
Best for: Product-led growth companies that need to score based on in-app behavior
Madkudu specializes in scoring for PLG businesses where product usage signals matter more than traditional marketing engagement.
Where This Tool Shines
Traditional lead scoring tracks email opens and website visits. Madkudu goes deeper by analyzing how prospects actually use your product during free trials or freemium experiences. Which features do they activate? How frequently do they return? Are they inviting team members?
The platform combines these behavioral signals with firmographic fit data to identify not just engaged users, but engaged users at companies that match your ICP. This dual-lens approach prevents your team from chasing enthusiastic users at companies that will never convert to paid plans.
Key Features
Product Usage Scoring: Tracks in-app behaviors and feature adoption to identify power users versus tire-kickers.
Fit and Behavior Models: Separate scores for company fit and user engagement, helping you prioritize leads that excel in both dimensions.
Real-Time Scoring: Updates scores as users take actions in your product, enabling immediate sales outreach at optimal moments.
Product Analytics Integration: Connects with Segment, Amplitude, Mixpanel, and other product data platforms.
Customer Segmentation: Automatically groups leads into segments based on scoring patterns for targeted campaigns.
Best For
SaaS companies with free trial or freemium models where product usage is the strongest signal of purchase intent. Particularly valuable for developer tools and technical products.
Pricing
Custom pricing based on your lead volume and data complexity. Typically positioned for mid-market and enterprise PLG companies rather than early-stage startups.
5. Clearbit Reveal + Scoring
Best for: B2B teams who need firmographic enrichment to power scoring decisions
Clearbit Reveal combines real-time data enrichment with sophisticated scoring based on company attributes and technographic signals.
Where This Tool Shines
Many leads arrive with minimal information—just an email address or company name. Clearbit instantly enriches these records with over 100 firmographic attributes: company size, revenue, industry, technology stack, funding stage, and more.
This enrichment powers scoring models based on ICP fit rather than just engagement. You can prioritize leads from enterprise companies in your target vertical who use complementary technologies, even if they haven't engaged heavily with your content yet. The platform also identifies anonymous website visitors by company, letting you score and route accounts before they even fill out a form.
Key Features
Real-Time Enrichment: Appends company data to leads instantly as they enter your system, providing immediate scoring context.
100+ Firmographic Attributes: Score based on employee count, revenue, industry, location, funding, and dozens of other data points.
Website Visitor Identification: Reveals which companies are browsing your site, enabling proactive outreach to high-fit accounts.
Technographic Data: Identifies technologies prospects use, helping you target companies with complementary or competing tools.
CRM and MAP Integrations: Pushes enriched data and scores into Salesforce, HubSpot, Marketo, and other platforms.
Best For
B2B companies selling to specific company profiles where firmographic fit matters as much as engagement. Especially valuable if you have a clearly defined ICP based on company attributes.
Pricing
Usage-based pricing model that scales with your enrichment volume. Contact sales for packages tailored to your lead volume and required data attributes.
6. ActiveCampaign
Best for: Small to mid-size teams wanting affordable scoring tied to marketing automation
ActiveCampaign builds lead scoring directly into its marketing automation platform, tracking engagement across email campaigns and website behavior.
Where This Tool Shines
ActiveCampaign makes scoring accessible to teams without enterprise budgets or technical resources. The platform tracks every meaningful interaction—email opens, link clicks, website visits, form submissions—and lets you assign point values to each action.
What makes it particularly powerful is the tight integration with automation workflows. When a lead hits a specific score threshold, you can automatically notify sales, move them to a different email sequence, or update their CRM record. This creates a seamless handoff between marketing and sales based on demonstrated interest rather than arbitrary timelines.
Key Features
Engagement-Based Scoring: Track and score email interactions, website visits, and content engagement automatically.
Custom Scoring Rules: Define your own point values for different actions based on what indicates purchase intent in your business.
Automation Triggers: Launch workflows automatically when contacts reach specific score thresholds.
Deal Scoring: Score opportunities in your sales pipeline, not just leads, to help reps prioritize closing activities.
Website Tracking: Monitor which pages prospects visit and assign scores based on high-intent content like pricing or case studies.
Best For
Growing businesses that need marketing automation and lead scoring in one affordable package. Ideal if you're outgrowing basic email marketing but not ready for enterprise platforms.
Pricing
Lead scoring becomes available in the Plus plan, which starts at $49 per month. This makes it one of the most accessible enterprise-caliber scoring solutions.
7. Zoho CRM Lead Scoring
Best for: Budget-conscious teams who need flexible scoring without sacrificing AI capabilities
Zoho CRM Lead Scoring delivers both rule-based and AI-powered predictive scoring at a fraction of competitor pricing.
Where This Tool Shines
Zoho proves that effective lead scoring doesn't require enterprise budgets. The platform offers Zia AI, their machine learning assistant, which analyzes your historical conversion data to predict which new leads are most likely to convert.
Beyond AI scoring, Zoho provides extensive flexibility in building manual scoring rules. You can score based on any field in your CRM—from standard attributes like industry and company size to custom fields unique to your business. The system also supports negative scoring to automatically deprioritize leads with disqualifying characteristics.
Key Features
Rule-Based Configuration: Build custom scoring models using any CRM field with positive or negative point values.
Zia AI Predictions: Machine learning analyzes your conversion patterns and scores new leads based on similarity to past winners.
Multi-Touch Attribution: Score leads based on their entire journey across multiple touchpoints, not just individual actions.
Field-Based Scoring: Assign scores based on demographic data, engagement behaviors, or custom attributes specific to your business.
Automated Assignment: Route high-scoring leads automatically to your best closers based on configurable thresholds.
Best For
Small to mid-size businesses that need sophisticated scoring capabilities without the price tag of Salesforce or HubSpot. Works well for teams with straightforward sales processes.
Pricing
Lead scoring becomes available in the Professional tier at just $23 per user per month, making it one of the most affordable options on this list.
8. Leadspace
Best for: Enterprise B2B teams executing account-based strategies with complex buying committees
Leadspace functions as a customer data platform that unifies first-party and third-party data to enable sophisticated account-based scoring.
Where This Tool Shines
Enterprise B2B sales rarely involve a single decision-maker. Leadspace recognizes this reality by scoring entire buying committees and accounts rather than just individual leads. The platform identifies all the stakeholders involved in a purchase decision and tracks engagement across the group.
Leadspace also incorporates intent data—signals that companies are actively researching solutions in your category. This might include content consumption patterns, search behavior, or technology evaluation activities. By combining intent signals with account fit and engagement data, you can prioritize accounts showing both need and interest.
Key Features
Buying Committee Identification: Maps out all stakeholders at target accounts and tracks engagement across the entire group.
Intent Data Integration: Incorporates third-party signals showing which accounts are actively researching your solution category.
Account-Based Scoring: Scores entire accounts rather than just individual contacts, aligning with ABM strategies.
Data Unification: Combines CRM data, marketing automation data, and third-party enrichment into unified customer profiles.
Persona-Based Scoring: Apply different scoring models for different buyer personas within the same account.
Best For
Large B2B enterprises with complex sales cycles involving multiple stakeholders. Most valuable for companies executing account-based marketing and sales strategies.
Pricing
Enterprise-level pricing with custom quotes based on your account volume, data sources, and required integrations. Positioned for organizations with substantial revenue operations budgets.
9. Freshsales
Best for: Teams wanting user-friendly AI scoring without complex setup or configuration
Freshsales delivers Freddy AI, an intelligent assistant that automatically scores leads based on engagement and profile data with minimal configuration required.
Where This Tool Shines
Many scoring platforms require significant setup—defining rules, setting point values, configuring workflows. Freshsales takes a simpler approach. Freddy AI starts scoring contacts immediately using out-of-the-box intelligence that learns from your data.
The platform tracks email engagement, website visits, and CRM interactions automatically. As your team marks leads as qualified or unqualified, Freddy learns which characteristics and behaviors indicate quality prospects in your specific business. The system continuously refines its scoring model without requiring you to manually adjust rules.
Key Features
Freddy AI Scoring: Machine learning scores leads automatically based on profile attributes and engagement patterns.
Out-of-the-Box Intelligence: Start scoring immediately without extensive configuration or rule-building.
Email and Website Tracking: Monitor prospect engagement across email campaigns and website visits automatically.
Custom Scoring Rules: Add manual rules on top of AI scoring when you have specific qualification criteria.
Score-Based Routing: Automatically assign high-scoring leads to appropriate sales reps based on configurable thresholds.
Best For
Teams that want to implement lead scoring quickly without dedicating weeks to setup and configuration. Ideal for companies new to scoring who want to start simple and add complexity over time.
Pricing
AI-powered scoring becomes available in the Pro plan, which starts at $39 per user per month. This positions it as an affordable option for growing teams.
Making the Right Choice
Choosing the right automated lead scoring software depends on where you are in your growth journey and how you capture leads. If you want scoring built into your lead capture process, Orbit AI qualifies leads the moment they submit a form—eliminating the lag between capture and qualification that costs sales teams valuable time.
For teams already invested in a CRM ecosystem, HubSpot or Salesforce Einstein provide deep native scoring that leverages your existing data without additional integrations. Product-led companies should explore Madkudu's behavioral approach, which recognizes that in-app usage signals matter more than email opens when you're running a freemium model.
B2B teams focused on firmographic fit will benefit from Clearbit's enrichment-powered scoring, which helps you prioritize prospects at companies matching your ideal customer profile. Budget-conscious teams can start with Zoho or Freshsales without sacrificing AI capabilities—both platforms deliver sophisticated scoring at accessible price points.
Whatever you choose, implementing automated lead scoring means your sales team spends time on prospects most likely to convert. They stop chasing cold leads and start having conversations with buyers who are ready. That's not just an efficiency improvement—it's a fundamental transformation in how your revenue team operates.
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