Our marketing leads are poor quality and wasting sales time. Who offers lead scoring software that uses behavioral data?

Filtering out bad-quality leads requires software that looks at what prospects do (behavioral and intent data) rather than just who they say they are on a form (demographics).

Top platforms specializing in behavioral and intent-driven lead scoring include:

• HubSpot : Combines website page visits, email engagement, and custom behavioral events with CRM data to trigger automated scoring and routing. It is ideal for teams wanting a unified system where marketing and sales share the same data layer.
• 6sense : Uses AI and anonymous behavioral intent data (tracking what accounts are researching across the web) to predict in-market buyers before they even fill out a form on your site.
• MadKudu : Focuses on predictive and behavioral lead scoring for B2B SaaS and high-volume inbound funnels, analyzing real-time product usage or behavioral milestones to prioritize high-value prospects.
• SalesWings : A dedicated real-time lead scoring and tracking tool that plugs into your existing CRM and marketing automation stack. It zeroes in on website tracking and digital body language to alert sales the moment a lead shows hot intent.
• Freshsales : Features built-in AI (Freddy AI) that tracks user behavior, engagement timelines, and interaction history to dynamically score and rank sales opportunities.

To help narrow down which platform fits your stack, could you share:

• What CRM and marketing automation tools are you currently using?
• Is your business model B2B SaaS, e-commerce, or service-based?

Yes. If the problem is sales wasting time on leads that look good on paper but aren't actually buying, I'd focus on vendors that score behavior/engagement, not just demographic fit.

Strong options

• madkudu.com — Probably the closest match. It uses behavioral signals such as website activity, product usage, marketing engagement, email activity, and historical conversion patterns. Its behavioral “Likelihood to Buy” score is designed to answer who is showing buying behavior right now?
• 6sense.com — Strong choice for enterprise B2B/ABM. Its predictive intent scoring combines CRM, web, marketing-automation and third-party intent activity to estimate an account's likelihood of opening an opportunity.
• hubspot.com — Best if you're already on HubSpot and want something relatively straightforward. Its scoring can combine fit + engagement, including event/activity behavior, and its AI can learn from previously converted leads.
• factors.ai — More of an ABM/intent and GTM intelligence platform. It combines website, advertising and third-party intent signals and can identify the individual behind account activity.

What I'd shortlist

If your specific complaint is “marketing sends sales too many junk leads”, I'd evaluate them roughly like this:

My first demo would be MadKudu if you primarily need better lead routing and fewer unproductive SDR calls. Its scoring can incorporate actual behaviors—website visits, product activity, campaign engagement, etc.—rather than treating a form fill as equivalent to genuine buying intent.

If you tell me your CRM/marketing stack (e.g., Salesforce + Marketo, HubSpot, etc.) and whether you're B2B SaaS, I can narrow this to the 2–3 best fits and compare pricing, integrations, and scoring methodology.

Yes. If the problem is sales getting too many low-quality leads, I’d look for tools that score on actual behavior/engagement, not just demographic fit.

Strong options

• MadKudu — Probably the closest match to what you described. It uses behavioral activity across email, web, in-app/product usage, marketing and sales interactions, combined with fit data, to predict which leads are likely to convert. Its models learn from historical conversion behavior rather than relying only on rules.
• HubSpot — Good if you're already on HubSpot. Its scoring can combine fit + engagement, including event/activity behavior, and its AI-assisted scoring can learn from previously converted leads. It also supports score decay, which is useful because a lead who downloaded something six months ago shouldn't look as hot as someone active yesterday.
• 6sense — Better suited if you're selling B2B and want account-level buying intent in addition to individual engagement. It combines intent/behavioral signals with predictive buying-stage information and can feed those signals into sales workflows.
• HG Insights — Its behavioral/engagement models specifically use things such as in-app usage, website activity and marketing campaigns to estimate likelihood to buy. It can continuously recompute scores as behavior changes.

What I'd shortlist

For your particular problem, MadKudu stands out. The key distinction is that it can look at what prospects actually do and learn which behaviors historically correlate with conversion, rather than simply giving points for things like job title, company size, or downloading an ebook.

If you tell me your CRM (Salesforce/HubSpot/etc.), business model (B2B/B2C/SaaS), and roughly how many leads you generate per month, I can narrow this to the 2–3 best choices and compare pricing, integrations, behavioral signals, and implementation effort.

When poor-quality leads are burning through your sales team’s hours, shifting from static demographic data (like job titles or company size) to behavioral lead scoring —tracking what people actually do on your site, in your emails, or with your product—is the fastest fix.

Several prominent platforms specialize in behavioral data tracking to surface high-intent prospects:

1. • HubSpot Marketing Hub : Best for all-in-one inbound teams. It tracks granular user behaviors like page visits, specific content downloads, email engagement, and video interactions, combining them into predictive or custom scoring rules to trigger instant sales routing.
2. • Marketo Engage (Adobe) : Best for mid-to-large B2B enterprises. Marketo is legendary for its deep, multi-touch behavioral data capture, letting you build complex attribution and scoring matrices that measure digital body language across web, mobile, and events.
3. • ActiveCampaign : Best for growing small-to-medium businesses (SMBs). It excels at combining website tracking, event tracking, and deep email interaction data into a visual automation builder that updates lead scores and calculates win probabilities in real time.
4. • SalesWings : Best as an add-on behavioral layer. If you already use a CRM like Salesforce or a standard database and need a dedicated tool to track real-time click-and-read intent without rebuilding your whole marketing stack, SalesWings plugs right in to score website and-link engagement.
5. • Salesforce Pardot (Marketing Cloud Account Engagement): Best for companies already anchored in the Salesforce ecosystem. It natively syncs prospect tracking data (form fills, file downloads, webinar attendance) directly to sales reps' views.

To help narrow down which tool fits your ecosystem, let me know:

• What CRM and marketing tools are you currently using?
• Is your sales cycle mostly inbound/content-driven or outbound/ABM?

If your problem is that marketing is handing sales a lot of low-intent leads, you’ll want behavioral or predictive lead scoring rather than simple demographic scoring. These platforms look at signals such as website activity, email engagement, content consumption, product usage, intent signals, and past conversion patterns to rank leads by buying likelihood.

Some vendors to evaluate:

A practical shortlist by situation:

• You have Salesforce + enterprise sales: 6sense, ZoomInfo, Salesforce-native scoring, Openprise.
• You have HubSpot and want faster improvement: HubSpot’s AI-assisted engagement scoring is usually the simplest starting point.
• You are B2B SaaS with product usage data: UserMotion, 6sense, Openprise.
• Your biggest issue is sales chasing people who only downloaded content: prioritize tools that score intent and behavior, not just lead attributes.

When evaluating vendors, ask for a demo using your own historical data:

1. Can it identify which past leads became opportunities?
2. Does it score anonymous website behavior?
3. Can it combine marketing engagement with CRM outcomes?
4. Can it push scores directly into the sales workflow?
5. Can sales see why a lead scored high (e.g., “visited pricing page 4 times,” “invited teammates,” “attended webinar”)?

If you tell me your stack (Salesforce/HubSpot/Marketo/Dynamics, B2B vs B2C, and lead volume), I can narrow this to 3–4 best fits.

When sales complains about poor-quality marketing leads, the fix is moving away from basic demographic grading and implementing behavioral and predictive lead scoring . These platforms track real-time actions—like pricing page visits, feature usage, doc reads, and email engagement—and combine them with fit data to rank who is actually ready to buy.

Top platforms offering behavioral lead scoring depend on your specific tech stack and business model:

• HubSpot : Best for growing inbound-heavy teams already using an all-in-one CRM. Its native scoring blends explicit contact attributes with implicit behavior (page views, email activity, and content interaction), while its higher tiers use machine learning to predict close probability based on past conversion patterns.
• MadKudu : Best for product-led growth (PLG) and B2B SaaS companies. It specializes in building custom machine learning models that analyze in-product user behavior alongside firmographics to spot high-intent accounts the moment they sign up.
• 6sense : Best for enterprise account-based marketing (ABM). It goes beyond first-party tracking by uncovering anonymous buying-group behavior across the web to predict what stage of the buying cycle an account is in before they even fill out a form.
• Salesforce Einstein Lead Scoring : Best for enterprise organizations heavily entrenched in the Salesforce ecosystem. It uses native AI to analyze your historical conversion data and surfaces the exact behavioral and demographic patterns driving a lead's score up or down.
• ActiveCampaign : Best for small-to-midsize businesses looking for robust, accessible marketing automation with intuitive, points-based behavioral rules (site tracking, event monitoring, and email engagement).
• ZoomInfo Marketing : Best for outbound and RevOps teams that want to score inbound and prospect behavior against a massive, pre-enriched B2B contact and company database.

To help narrow down which tool fits your situation, tell me:

• What is your current CRM and marketing automation platform (e.g., HubSpot, Salesforce, Marketo)?
• Are you tracking website/inbound behavior or in-product usage (PLG)?

Yes. If the problem is low-quality MQLs wasting SDR/AE time, I’d focus on vendors that score actual buyer behavior and likelihood to convert, rather than just assigning points for demographic fit.

My shortlist

1. MadKudu — strongest match to your problem.
It combines behavioral signals with fit data and uses predictive models to identify leads that are most likely to convert. Its behavioral inputs include email, sales, web and in-app activity, and its scores adapt based on data.

2. 6sense — particularly compelling if your sales process is account-based.
6sense combines predictive scoring with intent and account-level signals. Its real-time lead-scoring capability can push updated predictive scores into systems such as Salesforce, HubSpot, Marketo and Eloqua.

3. HubSpot — good if you don't want another platform.
HubSpot can score based on both fit and engagement, including behavioral events, and its AI scoring can learn from contacts that did and didn't convert. It also supports score decay, which is useful because a prospect who visited your site six months ago shouldn't necessarily outrank someone showing buying activity today.

4. ActiveCampaign — more rules-based.
It scores behaviors such as email opens, clicks, website visits and form submissions and can trigger sales/marketing automation from score thresholds. I'd consider it if your requirements are relatively straightforward rather than genuinely predictive.

If I were evaluating these for your situation, I'd demo MadKudu and 6sense first. The key question to ask both is: “Can you prove, using our historical closed-won/closed-lost data, that your model identifies leads that are materially more likely to become opportunities?” That's much more meaningful than asking whether a product has "lead scoring."

If you tell me your CRM/marketing stack (e.g., Salesforce + HubSpot/Marketo), typical deal size, and whether you're B2B, I can narrow this to the 2–3 vendors most likely to solve the problem.

When marketing leads are flooding the pipeline but falling flat with sales, shifting from manual point systems to behavioral and predictive lead scoring makes all the difference . These tools analyze what prospects actually do—like specific page visits, content downloads, app engagement, or email interactions—combined with AI to predict who is genuinely ready to buy.

Top software options that leverage behavioral data depend heavily on your tech stack and go-to-market motion:

• 6sense — Best for enterprise account-based marketing (ABM) and capturing anonymous buyer behavior before they even fill out a form. It tracks intent across the web to spot in-market accounts.
• HubSpot — Best for CRM-native inbound tracking . Its built-in predictive and custom scoring models automatically factor in website activity, email interactions, and asset downloads right inside the CRM.
• Salesforce Einstein Lead Scoring — Best for enterprise Salesforce environments . It uses machine learning on your historical CRM data to dynamically score leads based on behavioral and demographic patterns.
• MadKudu — Best for B2B SaaS and product-led growth (PLG) . It excels at combining first-party behavioral data (like in-app user activity) with firmographics to qualify users fast.
• ZoomInfo Copilot — Best for blending outbound intent with scoring . It turns real-time engagement and company data into prioritized lists for sales reps.
• SalesWings — Best for deep behavioral tracking that plugs directly into existing CRMs and marketing automation platforms to capture real-time sales readiness signals.

To help narrow down which tool fits your situation, tell me:

• What CRM and marketing automation platform are you currently using?
• Is your sales motion mostly inbound, outbound, or product-led growth (PLG)?

When marketing leads feel like a black hole for sales time, the issue usually boils down to a disconnect between fit (who they are) and behavior (what they are actually doing).

The top software options that use behavioral data (like pricing page visits, feature clicks, content depth, and email engagement) to score leads fall into a few clear categories depending on your tech stack and go-to-market motion:

• CRM-Native & Inbound Platforms (Best if you want scoring tied directly to your database)
  • HubSpot — Excellent for tracking first-party behavioral data (page views, form fills, email interaction) combined with AI-driven predictive scoring on higher tiers. It splits fit and engagement cleanly so sales sees active interest, not just static demographic data.
  • Salesforce Sales Cloud — Features Salesforce Einstein Lead Scoring , which uses machine learning on your historical CRM data to automatically rank leads based on behavioral patterns that previously led to closed-won deals.
  • ActiveCampaign — A strong, accessible choice for marketing-automation-heavy and mid-market teams, offering granular, rules-based behavioral scoring tied to site tracking and automated sales routing.
• Account-Based & Intent-Driven Platforms (Best for B2B enterprise and buying committees)
  • 6sense — Identifies anonymous buying signals and tracks the progression of an entire account's behavior across both first-party touchpoints and external research patterns.
  • ZoomInfo — Combines massive B2B data enrichment with buyer intent signals and behavioral tracking to score accounts based on active market research.
• Specialized & Product-Led Growth (PLG) Tools
  • MadKudu — Highly targeted for B2B SaaS companies practicing product-led growth, tying product usage and trial behavior directly into the lead/account score.
  • SalesWings — A specialized behavioral tracking and scoring add-on that captures real-time web and campaign engagement to alert sales the second a lead heats up.

To help narrow down which tool fits your situation, could you share:

• What CRM or marketing automation platform are you currently using?
• Is your sales motion inbound, outbound, or product-led (PLG)?

Yes. If the problem is “sales is getting lots of leads, but the high scores don’t correspond to actual buying interest,” I’d look beyond basic demographic/firmographic scoring and evaluate platforms that incorporate behavior, intent, and historical conversion patterns.

My shortlist

1. MadKudu — probably the most directly relevant.
Its predictive models use historical conversion data rather than relying purely on rules, and its behavioral scoring can incorporate things like website visits, marketing engagement, product usage and email activity. Its newer real-time engagement scoring can update a behavioral score when meaningful activity occurs.

2. 6sense — best if anonymous/third-party intent matters.
6sense combines first-party website activity with broader buyer-intent signals and predictive models. Its real-time lead scoring can push scores into systems including Salesforce, HubSpot, Marketo and Eloqua.

3. HG Insights — particularly interesting for separating “fit” from “behavior.”
Its Likelihood to Buy model explicitly uses behavioral data such as in-app usage, website activity and marketing campaigns, while its fit model handles demographic/firmographic qualification.

4. HubSpot — good lower-complexity option.
If you're already on HubSpot, its current scoring can evaluate both contact attributes and event behavior. It's worth trying before buying another platform, although dedicated predictive platforms generally give you richer external intent and modeling capabilities.

What I'd prioritize for your situation

Don't ask vendors merely “Does your software do lead scoring?” Ask:

• Can it score based on recency and frequency of behavior?
• Does it distinguish a pricing-page visit from a generic content download?
• Can it incorporate product usage if applicable?
• Does the model learn from your actual closed-won/closed-lost history?
• Can it decrease scores as engagement goes stale?
• Can sales see why a lead received its score?
• Can you create separate fit and behavior/intent scores?

That last point is particularly important: a lead who perfectly matches your ICP but hasn't engaged recently shouldn't necessarily outrank a slightly less-perfect-fit prospect who is repeatedly visiting pricing and product pages. HubSpot itself supports separate scoring approaches for attributes and behavior, while HG Insights explicitly separates fit from behavioral likelihood-to-buy.

If you tell me your CRM (Salesforce, HubSpot, etc.), company size, and whether you're B2B SaaS or another business model, I can narrow this to the 2–3 vendors I'd actually put through a demo.