HubSpot Lead Scoring in 2026: How to Build Fit and Engagement Scores That Sales Trusts
Quick answer: HubSpot lead scoring now lives under Marketing, Lead Scoring, where you build fit scores from properties, engagement scores from behavior, or a combined score that uses both. The old HubSpot Score property is gone: legacy scores stopped updating on 31 August 2025, so any model built from an older guide is no longer running. Build one fit score and one engagement score, keep the rules few, decay behavioral points over time, and set thresholds that trigger a specific action rather than a number nobody uses.
Key takeaways
- Check your portal first. Legacy score properties stopped updating on 31 August 2025, and migration was manual, not automatic (HubSpot Community).
- The new tool supports fit, engagement and combined scores, and a combined score creates three properties: total, engagement points and fit points (HubSpot).
- Score decay reduces the value of an event as it ages, with intervals of 1, 3, 6 or 12 months (HubSpot).
- Contact scoring needs Marketing Hub Professional or Enterprise. Deal scoring needs Sales Hub Professional or Enterprise. AI scoring needs Marketing Hub Enterprise, with a minimum of 50 contacts, 25 converted and 25 not.
- Separate fit from engagement. A single blended number hides the difference between the right company doing nothing and the wrong company doing everything.
First, check whether your scoring is even running
If your model was built before mid-2025, it probably stopped working. HubSpot retired the legacy scoring tool on this timeline:
| Date | What happened |
|---|---|
| 1 May 2025 | You could no longer create score properties in the old tool |
| 1 July 2025 | You could no longer edit existing legacy score properties |
| 31 August 2025 | Legacy score properties stopped updating entirely |
Migration was not automatic. Models had to be rebuilt in the new Lead Scoring app. The quiet failure mode is the dangerous one: workflows that depend on a legacy score keep running, but the score never changes, so nothing enrolls and nobody notices.
Two-minute check: open a contact record created this month and look at the score property. If it is empty or frozen while similar contacts have activity, your scoring is dead and needs rebuilding.
How HubSpot lead scoring works now
You build scores under Marketing > Lead Scoring. Each score is made of score groups, each group holds rules, and each rule adds or subtracts points. Groups can have a maximum, so one category cannot dominate the total.
| Score type | Based on | Use it for |
|---|---|---|
| Fit score | Property values such as industry, company size, job title, country | Is this the right kind of company and person? |
| Engagement score | Actions such as page views, form submissions, email clicks, meetings booked | Are they showing buying behavior? |
| Combined score | Both, in one score | A single number for routing, when you also keep the parts visible |
A combined score creates three properties: the total, the engagement points and the fit points. Keeping the parts visible is what makes the score usable in conversation with sales.
Availability and limits
| Object | Subscription needed |
|---|---|
| Contacts | Marketing Hub Professional or Enterprise |
| Companies | Marketing Hub or Sales Hub Professional or Enterprise |
| Deals | Sales Hub Professional or Enterprise |
| AI-based contact scores | Marketing Hub Enterprise, with at least 50 contacts (25 converted, 25 not) |
HubSpot’s documentation does not publish a hard cap on the number of scores, and practitioners report different limits by tier, so check what your portal allows before planning a dozen scores. Most B2B SaaS teams need two.
Before you build: a readiness check
Scoring amplifies your data. If the data is thin, the score will be confidently wrong.
- Your ICP is written down, with the firmographics that define it
- The properties you plan to score on are actually filled in on most records
- Sales agrees what a qualified lead looks like
- You have enough monthly volume for a score to mean something
- Someone owns the model and will review it
- You know what each threshold will trigger
If most contacts have a blank industry or company size, fix enrichment first. Scoring on empty fields produces a scoreboard nobody trusts.
A B2B SaaS scoring model you can copy
Treat this as a starting point and tune it against your own closed-won data.
Fit score (out of 100)
| Rule | Points |
|---|---|
| Company size in target range | +25 |
| Industry in target verticals | +20 |
| Job title in buying group (decision maker) | +20 |
| Job title in buying group (influencer or user) | +10 |
| Country in a market you sell to | +15 |
| Uses a technology you integrate with | +10 |
| Revenue or funding band matches ICP | +10 |
| Free email domain | -20 |
| Student, job seeker or academic title | -30 |
| Competitor, agency or vendor domain | -30 |
| Country you do not sell to | -25 |
Engagement score (out of 100)
| Rule | Points |
|---|---|
| Demo or contact request submitted | +40 |
| Pricing page viewed | +25 |
| Repeat pricing page view within 30 days | +15 |
| Case study or comparison page viewed | +15 |
| Webinar attended | +15 |
| Content download | +10 |
| Email clicked | +5 |
| Multiple people from one company active | +15 |
| Chat conversation started | +10 |
| Unsubscribed from email | -20 |
| No activity in 60 days | -15 |
Apply decay to engagement rules, not to fit rules. A pricing page visit nine months ago should not carry the same weight as one from yesterday. Fit does not fade in the same way, although it should be refreshed when firmographics change.
Turn scores into actions with a threshold grid
Two scores give you a grid, and the grid tells sales what to do.
| Low engagement | Medium engagement | High engagement | |
|---|---|---|---|
| High fit | Nurture with targeted content, add to ABM | Sales follow-up within 2 days | Call today, this is your best lead |
| Medium fit | Standard nurture | Nurture with a sales-assist touch | Qualify before routing |
| Low fit | No routing, keep in database | Self-serve content only | Review manually, this is often noise |
Rules to keep it honest:
- Every threshold must trigger one specific action, not a status change nobody acts on.
- High engagement plus low fit is not an MQL. It is usually a student, a competitor or a curious peer.
- High fit plus low engagement is an ABM target, not a sales call.
- Write the thresholds into your service-level agreement with sales, including how fast each band gets followed up.
Wiring scores into HubSpot
- Create the fit score and engagement score under Marketing, Lead Scoring, using groups with maximums so one category cannot swamp the total.
- Preview the distribution before you turn anything on. If 80% of your database lands in the top band, the model is too generous.
- Add score properties to views so reps see them on the contact record and in lists.
- Build lists or views by score band, so each band has an owner and a next step.
- Use workflows to act on the bands: set the lifecycle stage, notify an owner, add to a sequence or route to a queue.
- Feed qualified scores back to your ad platforms so campaigns optimize toward real buyers rather than form fills. See our guide to connecting HubSpot lead scores to Google and LinkedIn Ads.
Keep the score separate from lifecycle stage and lead status. The score is evidence, the lifecycle stage is a decision. Our guide on lifecycle stage versus lead status explains where each belongs.
Validate the model against real outcomes
A scoring model is a hypothesis until you test it.
- Back-test. Take last quarter’s closed-won deals and look at the scores those contacts had before they became opportunities. If most were mid-band, your weights are wrong.
- Compare conversion by band. MQL to SQL conversion should rise clearly from low to high bands. If it does not, the score is not measuring anything useful.
- Ask sales the blunt question. “Did the last ten high-score leads deserve a call?” Their answer is your accuracy measure.
- Review quarterly. Products, pricing and ICPs move, and a score that is never revisited slowly drifts out of date.
Common mistakes
- Rebuilding the old model exactly. The legacy tool is gone, and the rebuild is a chance to remove rules that never worked.
- One blended number. Fit and engagement answer different questions and should be visible separately.
- No negative points. Without subtractions, competitors and job seekers climb the leaderboard.
- Scoring properties that are mostly empty. Enrich first, or score on what you reliably have.
- No decay on behavior. Old activity keeps stale contacts at the top.
- Too many rules. Twenty rules are hard to explain and harder to debug. Start with eight to twelve per score.
- Thresholds with no action attached. If nothing happens at 80 points, the number is decoration.
- Never checking whether it still runs. This is exactly how the legacy sunset caught teams out.
A 30-day rollout
| Week | Focus |
|---|---|
| Week 1 | Confirm whether legacy scoring is still in place, write the ICP definition, audit property fill rates |
| Week 2 | Build the fit score and engagement score, preview distributions, adjust weights |
| Week 3 | Agree thresholds and actions with sales, build lists and workflows, add properties to views |
| Week 4 | Back-test against last quarter’s won deals, fix the weights, set the quarterly review |
Honest limitations
- Scoring needs volume. With a handful of leads a month, a written qualification checklist beats a model.
- Scores are only as good as the underlying data, so enrichment and tracking come first.
- Feature availability depends on your subscription, and HubSpot changes both features and limits, so check the current documentation as you build.
- A score predicts fit and interest. It does not predict budget, timing or internal politics.
- The point values above are a starting template, not a benchmark. Your closed-won data should decide them.
Frequently Asked Questions
Q1. What happened to the HubSpot Score property?
HubSpot retired the legacy scoring tool. You could not create new legacy scores after 1 May 2025, could not edit them after 1 July 2025, and they stopped updating entirely on 31 August 2025. Models had to be rebuilt manually in the new Lead Scoring app.
Q2. Where is lead scoring in HubSpot now?
Under Marketing, then Lead Scoring. That is where you create fit, engagement and combined scores, and each one creates its own score property.
Q3. What is the difference between a fit score and an engagement score?
A fit score uses property values such as industry, company size and job title to answer whether this is the right kind of buyer. An engagement score uses actions such as page views, form fills and email clicks to answer whether they are showing intent.
Q4. Should I use a combined score?
A combined score is useful for routing, and it creates separate properties for the fit and engagement portions. Keep those parts visible, because the combination of high fit and low engagement needs a different play from high engagement and low fit.
Q5. Which HubSpot plan do I need for lead scoring?
Contact scoring requires Marketing Hub Professional or Enterprise. Company scoring works with Marketing Hub or Sales Hub Professional or Enterprise. Deal scoring requires Sales Hub Professional or Enterprise. AI-based contact scoring requires Marketing Hub Enterprise.
Q6. Does HubSpot have AI lead scoring?
Yes, on Marketing Hub Enterprise. The model needs a minimum sample of 50 contacts, with at least 25 converted and 25 not converted, to train on.
Q7. What is score decay?
Decay lowers the value of an event as it ages, with intervals of 1, 3, 6 or 12 months. Use it on engagement rules so recent behavior outweighs activity from last year.
Q8. How many points should a lead scoring model use?
Any consistent scale works. A 100-point scale per score is easy to explain. What matters more is that the weights reflect which signals actually preceded your closed-won deals.
Q9. What score should trigger an MQL?
Set it where your data says conversion jumps, not at a round number. Start by looking at the scores of contacts who became opportunities last quarter, then set the threshold just below that band and adjust.
Q10. Can I do lead scoring on HubSpot Free or Starter?
No. Scoring requires Professional or Enterprise. On lower tiers, use lists and simple qualification rules instead.
Q11. How often should I review the model?
Quarterly, and any time your ICP, pricing or product changes materially. Review against closed-won deals rather than opinions.
Q12. Why do my workflows stop enrolling contacts?
If they depend on a legacy score property, that score is no longer updating, so nothing crosses the threshold. Rebuild the score in the new tool and point the workflow at the new property.
Get your HubSpot scoring rebuilt properly
Not sure whether your lead scoring still runs, or whether sales trusts it? Book a free 30-minute call with GrowthSpree. We’ll review your model, your data quality and your thresholds, and show you what to fix first.
Related reading
- Connecting HubSpot Lead Scores to Google and LinkedIn Ads
- Lifecycle Stage vs Lead Status in HubSpot
- HubSpot Offline Conversions: The Complete Setup
- RevOps in HubSpot for B2B SaaS
- Junk Leads: What They Are and How to Fix Lead Quality
Sources
- HubSpot Knowledge Base, Set up score properties to qualify leads
- HubSpot Knowledge Base, Understand the lead scoring tool
- HubSpot Community, Migrating from legacy scoring to the new lead and health scoring apps
