AI-Powered Lead Intelligence

Lead Scoring: Prioritize Your Best Leads Inside the CRM

See which leads are hot and which are not. Every email open, form fill, and page visit adds to their score. When a lead crosses threshold, your sales rep gets notified, orr the lead moves forward on its own. No manual work. All inside your CRM.

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AI Recommendation

Focus on Sarah first - 85% chance to close within 7 days

Transform Your Sales Process with Intelligent Lead Scoring

Stop wasting your time on leads that won’t convert. Our smart AI scoring system finds and ranks the ones most likely to be potential customers.

Rule-Based Scoring

Define scoring rules: +10 points for email open, +20 for link click, +50 for form submission, -5 for inactivity. Build a scoring model that matches your sales process.

Score-Based Prioritization

Contacts are ranked by their total score. Your sales team sees the highest-scoring leads first, so they focus on the most engaged prospects.

Instant Scoring Updates

Scores update as contacts interact - open an email, click a link, submit a form, visit a page. No manual recalculation needed.

Team Collaboration

Sales and marketing teams share the same lead scores. Marketing hands off leads when they reach the threshold; sales knows exactly why each lead is qualified.

Performance Analytics

Track which scoring rules contribute most to conversions. See how many leads reach each score tier and how quickly they convert.

Comparison table: Centripe vs HubSpot Lead Scoring vs Salesforce Einstein

Feature Centripe HubSpot Salesforce
Rule-based scoring (manual rules) ✅ All plans ✅ (Marketing Hub Pro+) ✅ (Sales Cloud)
Score on email engagement
Score on form submissions
Score on pipeline activity ✅ Native
Score on appointment bookings ✅ Native Only if you have Professional or Enterprise subscription ✅ Native
Negative scoring (decay/inactivity) Yes
Trigger automations at score threshold ✅ Native workflows ✅ (Flow)
AI/predictive scoring Rule-based only ✅ (Enterprise only) ✅ Einstein (add-on)
Included in base CRM price ❌ Marketing Hub Pro+ ($800+/mo) ❌ Einstein add-on
Best for Small-to-mid teams who want scoring without complexity or extra cost Marketing-heavy orgs with budget for advanced features Enterprise orgs with dedicated RevOps teams

CRM Integration table: Scoring triggers and automated actions

Contact Action Score Impact Automated CRM Response
Opens email +5 points
Clicks link in email +15 points Add "engaged" tag
Submits a form +30 points Add to pipeline, notify sales rep
Books an appointment +50 points Create prep task for sales rep
Visits pricing page +25 points Send pricing comparison email
No activity for 30 days -20 points Start re-engagement workflow
Score crosses 80 threshold Move to "Sales Qualified" stage → create follow-up task → send internal notification

Lead Score Categories & Recommended Actions

Turn scores into success! Get helpful suggestions with every lead to guide your team to the right move, right on time.

Hot Leads

Score: 80-100

High-engagement contacts showing strong buying signals

Recommended Actions:

85% conversion rate

Warm Leads

Score: 60-79

Contacts engaging regularly but not yet ready to buy.

Recommended Actions:

45% conversion rate

Cold Leads

Score: 40-59

Early-stage contacts with light engagement

Recommended Actions:

18% conversion rate

Unqualified

Score: 0-39

Contacts with minimal engagement or poor fit

Recommended Actions:

3% conversion rate

Next-Generation Lead Scoring with AI

1

Qualifying Inbound Leads (Marketing Agency)

A marketing agency receives 50+ inquiries per month from their website. Instead of treating every form submission equally, they assign scores: +30 for submitting the 'Request a Proposal' form, +20 for visiting the portfolio page, +15 for opening the follow-up email. Leads scoring 70+ get a same-day call from the business development rep. Leads scoring 30-69 enter an automated nurture sequence. The agency closes 40% of their 70+ leads vs. 5% of their sub-30 leads - the scoring tells them where to invest their limited sales time.

2

A SaaS company uses negative scoring to flag churn risk and positive scoring to spot upsell opportunities. Customers who haven't logged in for 14 days lose 10 points - triggering a check-in email. Customers who visit the 'Upgrade' page gain 40 points - triggering an account manager task. The scoring model runs automatically inside the CRM, so the team focuses energy on the right accounts.

3

Event-Driven Lead Prioritization (Consultant)

A consultant runs monthly webinars. Attendees who stay for the full session get +30 points, those who click the post-webinar CTA get +20, and those who reply to the follow-up email get +25. Within 48 hours of the webinar, the consultant's CRM shows exactly which attendees are 'hot' (75+ score) and ready for a discovery call. No spreadsheets, no guessing.

How AI Lead Scoring Works

From data integration to lead prioritization in 4 simple steps. Get started in minutes and see results within hours.

01

Define Your Scoring Rules

Decide which actions earn points: email opens, link clicks, form submissions, page visits, appointment bookings. Assign positive points for engagement and negative points for inactivity.

02

Set Your Score Thresholds

Define what score qualifies a lead as 'hot' (e.g., 80+), 'warm' (60-79), or 'cold' (below 60). These thresholds determine when automations trigger.

03

Scores Accumulate Automatically

As contacts interact with your emails, forms, and content, their scores update in real time. No manual tracking.

04

Act on High-Scoring Leads

Set up automations: when a lead hits 80+, create a task for the sales rep, send an internal notification, or move the deal to a new pipeline stage.

Frequently Asked Questions

Everything you need to know about AI-powered lead scoring

Lead scores depend on the rules you create. When a contact opens emails, fills out forms, or visits your site, their score increases. The score's usefulness hinges on how well your rules align with your team's sales methods. Start simple, then adjust the rules based on what works.
Scores begin to build once you set your rules, and contacts take action. Allow 2 to 4 weeks. This time is usually enough to see which scores relate to actual sales, so you can adjust accordingly.
Score based on any CRM activity: email opens, link clicks, form submissions, page visits, appointment bookings, pipeline stage changes, tags, and custom fields. Everything lives in the CRM - no external integrations needed.
Yes. You define which actions earn points and how many. Adjust weights anytime — for example, give form submissions more points than email opens if that's a stronger buying signal for your business.
Yes, we take security seriously. All data is encrypted in transit and at rest, GDPR compliant, and follow enterprise-grade security practices. Your data is never shared with third parties or used to train models for other customers.
Yes! All plans include email support, with Professional and Enterprise customers receiving priority support. Enterprise customers also get a dedicated customer success manager and white-glove onboarding to ensure optimal setup and results.
Yes. Set a score threshold (e.g., 80 points) and define what happens when a contact reaches it: create a task for the sales rep, move the deal to a new pipeline stage, send an internal notification, or start a follow-up workflow. Threshold-based automations are the main way lead scoring connects to your sales process.
HubSpot and Salesforce offer predictive AI scoring at their Enterprise tiers ($800+/month and up). Centripe uses rule-based scoring - you define which actions earn points, and the CRM calculates scores automatically. It's simpler, included in the CRM price, and works well for teams that don't need machine learning-level complexity. If you need AI-powered predictive scoring, HubSpot Enterprise or Salesforce Einstein are stronger options.