Best Lead Scoring Software in 2026: 10 Tools Compared on Signals, Not Form Fills

TL;DR: Lead scoring software answers one question, and the answer decides which tool you need: what does the score read? Rules-based scorers in HubSpot, ActiveCampaign, Outfunnel, Salesmate and Pipedrive read what a lead did to you (opened your email, visited your pricing page, filled your form). Predictive scorers in HubSpot Enterprise, Salesforce, Zoho and MadKudu read your closed-won history and need a minimum of it before they switch on; Salesforce's Einstein wants 1,000 leads and 120 conversions in six months. 6sense reads anonymous research at the account level for a median $62,000 a year. None of them can see what a named prospect did in public this week, which is the layer Getcleed sells for $99 a month flat. Pick by CRM size: under 1,000 contacts, rules plus a public-signal score; 1,000 to 20,000, your CRM's predictive tier if you can afford the plan gate; above that, account intent plus person-level signals.

The best-scored lead in most CRMs is a current customer looking at the pricing page.

That isn't a joke about a bad setup. It's what rules-based scoring does when it's working as designed. A customer logs in, reads the pricing page to check their renewal, opens two emails, and collects 45 points. A VP of Sales who posted on LinkedIn yesterday that her outbound numbers are "falling off a cliff" scores zero, because she has never visited your site. Most lead scoring software scores the first person and cannot see the second.

You already know your scores aren't quite right. Only 44% of organizations use lead scoring at all, and among the ones that do, about 27% of marketing-qualified leads meet sales' qualification bar. This guide compares 10 lead scoring tools on the three things the vendor pages leave out: what the score reads, which plan unlocks it and what that plan costs, and the data minimum before the model works. We build one of the 10, Getcleed, and it gets one section like the others. The comparison table comes first, the verdicts after.

What Lead Scoring Software Does (and the Three Things a Score Can Read)

Lead scoring software ranks contacts or accounts by how likely they are to buy, so reps work the top of the list first. Rules-based tools add points for actions you choose. Predictive tools train a model on your past conversions and assign a probability. Signal-based tools read behaviour outside your funnel, such as a job change or a LinkedIn post, and score timing rather than fit.

Every score on the market reads one of three sources, and the source is the real difference between the tools.

• What the lead did to you. Email opens, link clicks, page views, form fills, demo requests. This is the data your CRM and marketing automation already hold. It's accurate and it's narrow: it only exists for people who have already found you.
• What your past buyers looked like. A predictive model scans closed-won deals for the attributes and actions that preceded them, then scores new leads for resemblance. It's only as good as the history it trains on, which is why every predictive tool has a data minimum.
• What the prospect is doing in public. Hiring posts, funding announcements, job changes, comments on a competitor's launch. This is the only source that covers people who have never touched your site, and it's the one most lead scoring software ignores.

The how-to-prioritize-leads guide covers the scoring rules themselves, and the lead scoring model guide covers weights and thresholds. This page is about which software to run them in.

Lead Scoring Software Compared: 10 Tools, Prices and Plan Gates

Prices checked 10 October 2026. "Plan gate" is the cheapest tier that includes the scoring feature named, not the vendor's entry price.

Two things stand out in that table. Predictive scoring is an Enterprise feature at three of the four big CRMs, so the "free" scoring you were promised is rules-based and the real one costs a plan upgrade. And every tool above the last row reads your own CRM, so the score tops out at the people who already found you.

Before You Pick: the Data Minimum Nobody Mentions

Predictive lead scoring software learns from your history. If the history is thin, the model either refuses to start or starts and lies.

Salesforce is the only vendor that publishes the threshold. Einstein Lead Scoring needs at least 1,000 leads created and 120 converted in the past six months before it will switch on. Below that, the feature is unavailable, however much you pay for the edition.

HubSpot doesn't publish a number, but its Likelihood to close model is trained on your closed contacts, so a portal with 40 customers trains on 40 examples. MadKudu was built for product-led companies and wants usage events, not just CRM fields. 6sense models account journeys and expects a target list in the thousands.

Tomás runs a six-person compliance software company in Austin. In February 2026 he upgraded Salesforce so he could turn on Einstein scoring, then found he had 340 leads and 31 conversions in the trailing six months. The feature wouldn't enable. He'd paid for a model he couldn't use for at least a year, which is roughly how long it would take his funnel to generate 1,000 leads. He switched the seats back in April.

The rule is simple. Under 1,000 leads in six months, you are a rules-plus-signals buyer, not a predictive buyer. The predictive lead scoring guide walks through the three ways these models fail, and the data minimum is the first.

CRM-Native Lead Scoring Tools

If your contacts already live in one of these four CRMs, start here. The scoring reads your own activity data without a sync, and the only cost is the plan gate.

HubSpot

HubSpot runs two scoring systems. Manual scoring, available from Sales Hub Professional at around $100 a seat per month, lets you assign points to properties and events: 10 for a pricing page view, 20 for a demo request, minus 50 for a competitor domain. Predictive scoring, the "Likelihood to close" and "Contact priority" properties, is Enterprise only, so $150 a seat on Sales Hub or $3,600 a month for Marketing Hub Enterprise with five seats and a $7,000 onboarding fee.

Both read the same source: what the contact did inside HubSpot, plus enriched firmographics. Since 14 April 2026, HubSpot's Breeze Prospecting Agent charges $1 per recommended lead, which is HubSpot's own admission that the CRM needs an outside signal to know who to recommend. HubSpot also absorbed Warmly, the website visitor de-anonymization tool, at the end of June.

Best for: teams already on Sales Hub Professional with a two-year closed-won history. Skip if: you are under 1,000 contacts, where rules scoring is the whole product and Enterprise is a $1,800-a-seat-a-year upgrade for a model trained on nothing.

Salesforce Einstein Lead Scoring

Einstein scores leads 1 to 99 on their resemblance to leads that converted, and shows the top three contributing factors on each record. It's the most transparent predictive scorer in the group once it's running. The two hurdles are the data minimum above and the price.

On 3 September 2026, Salesforce retired its Enterprise and Unlimited editions and replaced them with Agentforce Sales Core at $195 a user per month, Advanced at $395 and Max at $550, all annual. Core replaced Enterprise at $175, so the entry to Einstein scoring went up $20 a seat and gained Slack and a Flex Credit allowance you may not use.

Best for: teams of 10 or more reps with a funnel that clears 1,000 leads a half-year. Skip if: you are on Starter or Pro Suite, where it does not exist, or your lead volume is below the threshold.

Zoho CRM (Zia)

Zoho gates scoring in two steps. Rules-based scoring rules start at Standard, $14 a user per month on annual billing, with the number of rules and fields growing by edition. Zia's predictive lead scoring, which models your conversion history, arrives at Enterprise, $40 a user per month. That is the cheapest predictive gate among the big CRMs by a wide margin, a quarter of HubSpot's and a fifth of Salesforce's.

Best for: price-sensitive teams already on Zoho who want predictive scoring without the HubSpot or Salesforce bill. Skip if: your reps live in LinkedIn and email rather than the CRM, because Zia only sees what gets logged.

Pipedrive

Pipedrive's lead scoring ranks prospects by engagement and deal history and lets you add custom scoring criteria. It unlocks on Premium, $49 a seat per month on annual billing or $79 monthly, after the November 2025 plan rename (Lite, Growth, Premium, Ultimate). Pipedrive's strength is that reps already use it for the pipeline, so the score sits where the work happens.

Best for: 2 to 15 rep teams that want a score on the deal board without a second tool. Skip if: you need a model that learns from conversions rather than counting activities.

Marketing Automation Lead Scoring Tools

These three score the same source as the CRMs, email and web engagement, but at lower price points and with a marketing-automation workflow attached. They are the "form fills" end of the market, and for inbound-heavy teams that is the right end.

ActiveCampaign

ActiveCampaign includes lead scoring from the Plus plan at $49 a month on annual billing for 1,000 contacts, and not on Starter. Scores update from email opens, clicks, site visits via the tracking script and form submissions, and a score threshold can trigger an automation or a deal in the built-in CRM. It's the most polished rules engine at this price.

Best for: inbound-led small businesses where the website is the main lead source. Skip if: your pipeline comes from outbound, where nobody has opened your email yet.

Salesmate

Salesmate prices at $23, $39 and $63 a user per month for Basic, Pro and Business, with its Sandy AI assistant arriving on Pro. Lead scoring is listed as a product feature, but the pricing page doesn't say which tier includes it, so ask before you buy. The scoring reads CRM activity and email engagement.

Best for: small teams that want a cheap CRM with scoring and calling in one. Skip if: you need to know the plan gate before signing; confirm it in writing.

Outfunnel

Outfunnel is a sync-and-score layer that sits between your email tool and a CRM such as Pipedrive, HubSpot or Copper. Scores draw from email activity, web visits, CRM activities and CRM field values. Lead scoring lives on the Professional plan, from $99 a month for 1,000 active contacts up to $249 for 15,000; Basic runs $29 to $99 and Scale starts at $299 on annual billing. A contact counts as active the moment a score is calculated, so the contact tier is effectively the scoring tier.

Best for: Pipedrive and Copper users who want engagement scoring their CRM lacks. Skip if: you are on HubSpot Professional, which already does this.

Lena is RevOps at a 12-rep SaaS company in Denver. In March 2026 she switched on HubSpot's rules scoring with the default weights and pulled the top 50 contacts for the SDR team. Thirty-one were existing customers who had visited the pricing page before a renewal. Nine were job applicants who had read the careers page and every blog post. Four were competitors. Six were real.

She added negative scores for customer domains and the careers URL, and the list got honest, but it also got short: fewer than 40 contacts a month cleared the threshold, out of 9,000 in the portal. Everyone else had never done anything to score.

Want to see what your CRM cannot score? Import your contacts into Getcleed and sort by relevance score. The first results land in minutes, and no credit card is needed for the 7-day trial.

Predictive and Account-Level Lead Scoring Software

Two tools in the category sit above the CRMs: one models product usage, the other models accounts. Both are quote-only in 2026.

MadKudu (HG Insights)

MadKudu was the predictive scorer for product-led companies, reading sign-ups, feature usage and firmographics to flag product-qualified leads. It acquired Breadcrumbs, the free-tier favourite, in October 2024, then was itself acquired by HG Insights in August 2025. Both pricing pages are gone.

The Breadcrumbs pricing page redirects to a MadKudu demo form, and the MadKudu pricing page redirects to hginsights.com, which we confirmed on 10 October. The last published plans were $999 a month for Growth and $2,499 for Pro, with the Pro tier capped at 6,000 leads a month. Expect a quote at or above that.

Best for: PLG companies with thousands of free sign-ups a month and a data team to maintain the model. Skip if: you have no product usage data, which is the thing the model is built to read.

6sense

6sense is account-level, not lead-level. It de-anonymizes research activity across the web and its bidstream partners, maps it to accounts, and predicts which accounts are in-market with its 6QA stage model. It doesn't publish a price. Vendr's marketplace records a median contract of about $62,400 a year across roughly 385 purchases, with observed deals from $11,400 to $177,000. The intent data tools comparison covers 6sense next to Bombora, Demandbase and ZoomInfo in more detail.

Best for: enterprise ABM teams with a target account list in the thousands and a budget to match. Skip if: you sell to people rather than accounts, or your whole addressable market is under 2,000 companies.

Person-Level Signal Scoring: Getcleed

Every tool above scores a contact on what they did inside your systems or what your past buyers looked like. Getcleed scores a contact on what they are doing in public right now.

You import a list from HubSpot, Pipedrive, Attio, a Sales Navigator export or a CSV. Getcleed reads each person's recent LinkedIn activity, posts, reactions and comments, plus their company's page, and scores them 0 to 100 against your ICP across 11+ signal types: job change, competitor engagement, pain-point posts, tool evaluation, hiring, funding, product launch and your own custom signals. Each score comes with the evidence, the specific post or comment that triggered it, and a hook written from it. The score refreshes nightly, so a contact who was a 30 in September surfaces at 85 the week they post about replacing their current vendor.

It isn't a CRM, a database or a waterfall, so it needs one of those or a CSV to score. It costs $129 a month, or $99 a month on annual billing, flat, for 1,000 leads analyzed, with no seats and no credit meter. The AI lead scoring piece explains why fit scores alone miss the timing, and the 11 LinkedIn buying signals post lists what the score reads.

Aisha runs a four-rep outbound team at a logistics software company in Rotterdam. Her CRM had 1,800 contacts, all ICP-fit, all scored by Pipedrive on engagement, and 90% of them sat at zero because they had never opened an email. In May 2026 she exported the list and scored it on LinkedIn activity. 164 contacts, 9%, came back above 70: 41 had changed jobs in the quarter, 58 had engaged with a competitor's post, 22 worked at companies that had posted ops openings. Her team sent to those 164 first.

June reply rate was 6.8% on the scored slice against 1.1% on the May blast, and meetings went from 11 to 23 on a third of the volume.

Best for: outbound teams of 1 to 20 reps whose contacts are ICP-fit but not yet engaged, which is most of any list. Skip if: your buyers are not on LinkedIn, or your pipeline is entirely inbound and your CRM scoring already covers it.

Ready to score the 90% your CRM calls zero? Start a free 7-day trial, import your coldest segment, and see who moved this week.

What Changed in Lead Scoring Software in 2026

Half of the lead scoring software roundups on page one still recommend tools that no longer sell standalone. The list since autumn 2024:

• Breadcrumbs was acquired by MadKudu in October 2024. Its free tier, the usual SMB recommendation, is gone and its pricing page redirects to a demo form.
• MadKudu was acquired by HG Insights in August 2025. Pricing is now quote-only inside an enterprise data platform.
• Pocus was acquired by Apollo in March 2026 and shipped as Apollo's Intelligence Layer on 30 September, a CRM-and-usage signals engine for Apollo seats. The Apollo vs ZoomInfo comparison covers where that leaves Apollo's data.
• Warmly joined HubSpot on 30 June 2026, and Common Room closed its sale to Zoom in July. Two more signal sources now live inside platforms you may not use.
• Salesforce replaced its editions on 3 September 2026. Einstein scoring now starts at Agentforce Sales Core, $195 a user per month.
• HubSpot moved its Breeze Prospecting Agent to $1 per recommended lead on 14 April 2026.

The pattern is that scoring is being absorbed into platforms, and the plan gate is going up. The standalone options left are cheap rules engines at one end, quote-only enterprise models at the other, and a thin middle.

How to Choose Lead Scoring Software

Pick by the size of your CRM and the source of your pipeline, in that order.

Whichever row you land on, do the fit half first. A score is only as useful as the ICP it scores against, and the ICP guide has the worked example.

Then remember that about 5% of any B2B market is in a buying cycle at a given time, the 95-5 rule. A rules score finds the in-market 5% who came to you. A signal score finds the in-market 5% who did not. Most lists need both, and CRM data decays fast enough that both need to rescore, not run once.

Lead Scoring Software FAQ

What is the best lead scoring software for small teams?

For an outbound team under 1,000 contacts, the rules scoring already in your CRM plus a public-signal layer such as Getcleed at $99 a month. For an inbound team at the same size, ActiveCampaign Plus at $49 a month. Predictive tools are not an option yet, because they need conversion history you do not have.

Does HubSpot include predictive lead scoring?

Only on Enterprise. Sales Hub Professional and Marketing Hub Professional include manual, rules-based scoring. The predictive "Likelihood to close" property requires Sales Hub Enterprise at $150 a seat per month or Marketing Hub Enterprise at $3,600 a month for five seats.

How much data does predictive lead scoring need?

Salesforce publishes the clearest number: 1,000 leads created and 120 converted in the past six months before Einstein Lead Scoring will enable. HubSpot trains on your closed contacts without stating a floor. As a rule, under 1,000 leads a half-year, use rules and signals instead.

Is lead scoring software the same as intent data?

No. Lead scoring software ranks contacts you already hold. Intent data tools such as 6sense and Bombora identify accounts researching your category, usually before they are in your CRM. Some scoring tools consume intent as an input, and the intent data tools comparison covers which ones.

What is the difference between rules-based and AI lead scoring software?

Rules-based scoring adds points you define for actions you choose, so it is transparent and works from day one. AI or predictive scoring trains a model on your past conversions and assigns a probability, so it adapts but needs history and can hide its reasoning. Signal-based scoring is a third type that reads public behaviour outside your funnel.

The Bottom Line

1. Lead scoring software splits by what the score reads: your engagement data, your conversion history, or the prospect's public behaviour. Match the tool to the source you have.
2. Predictive scoring is an Enterprise feature at HubSpot ($150 a seat), Salesforce ($195 a seat since September) and Zoho ($40 a seat). The free scoring in your CRM is rules-based.
3. Every predictive model has a data minimum. Salesforce says 1,000 leads and 120 conversions in six months. Below that line, buy rules plus signals, not a model.
4. The standalone middle has consolidated. Breadcrumbs, MadKudu, Pocus, Warmly and Common Room all sold into bigger platforms between October 2024 and July 2026.
5. Nothing that reads your CRM can score the contact who's never touched it. That's most of your list, and a person-level signal score is the only way to rank it.

Turn on the lead scoring software your CRM already includes. Then run a free signal check on your coldest 1,000 contacts and see which 5% to 9% showed a buying signal this week. Those are the calls to make first, whichever CRM holds the rest.