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Lead Scoring Software

Lead Scoring Software: Focus Reps on Leads That Convert

Lead scoring software assigns numerical values to leads based on their likelihood to convert — using criteria like website behaviour, form data, call engagement, and company fit. LimeCall automatically scores inbound leads during AI-powered qualification calls, then routes high-scoring prospects to sales reps in 28 seconds.

67%

Of lost leads had bad fit

28s

Routing for hot leads

79%

Leads never convert without scoring

52%

SQL rate improvement

What is Lead Scoring?

Lead scoring is a sales and marketing methodology that ranks prospects against a scale representing the perceived value each lead represents to the organisation. The resulting score determines which leads a rep should prioritise, which need nurturing, and which should be disqualified.

Without lead scoring, sales teams treat all leads equally — wasting time on unqualified prospects while high-value opportunities go cold. Research from Salesforce shows that 67% of lost deals involved leads that were never properly scored for fit and intent.

Modern lead scoring software automates this process by analysing dozens of data points in real time — from demographic information and firmographic data to behavioural signals and engagement patterns — and producing an actionable score that drives routing, prioritisation, and follow-up workflows.

Lead Scoring Models

Three approaches to scoring leads — most effective teams combine all three for a comprehensive view of lead quality.

Explicit Scoring

Demographic & Firmographic

Score leads based on data they provide directly — job title, company size, industry, revenue, location. A VP at a 500-person SaaS company scores higher than an intern at a 5-person startup.

  • + Job title: VP/C-suite = +25 pts
  • + Company size: 50-500 = +20 pts
  • + Industry match = +15 pts
  • + Budget confirmed = +30 pts

Implicit Scoring

Behavioural Signals

Score leads based on what they do — pages visited, content downloaded, emails opened, time on site. High-intent behaviour like visiting your pricing page is worth more than reading a blog post.

  • + Pricing page visit = +30 pts
  • + Case study download = +20 pts
  • + 3+ page views = +15 pts
  • + Return visit within 24h = +25 pts

Predictive Scoring

AI & Machine Learning

Use AI to analyse historical conversion data and identify patterns humans miss. Predictive models continuously learn which lead attributes and behaviours correlate with closed deals.

  • + Pattern-matched to past wins = +35 pts
  • + Engagement velocity score = +20 pts
  • + Lookalike to best customers = +25 pts
  • + AI confidence rating applied

How LimeCall Scores Leads

LimeCall scores leads during real-time AI-powered callback conversations — combining intent signals, qualification answers, and engagement data into a single actionable score.

Signal Points Category
Pricing page visit +30 Intent
BANT: Budget confirmed +25 Qualification
BANT: Authority (decision maker) +25 Qualification
BANT: Need identified +20 Qualification
BANT: Timeline under 30 days +10 Qualification
Call duration > 3 minutes +15 Engagement
Company size 50-500 +20 Fit
Target industry match +15 Fit
Case study page visit +20 Intent
Blog post only +5 Intent
Requested callback +25 Intent
Location match +10 Fit

A-Leads

Score 80-100

Auto-routed to Senior AE in 28 seconds

B-Leads

Score 50-79

Routed to SDR for qualification follow-up

C-Leads

Score 0-49

Added to automated nurture sequence

Lead Scoring Criteria Checklist

15 criteria used by high-performing sales teams to score leads effectively.

Criterion Type Point Range Notes
Job title / seniority Explicit +10 to +25 C-suite and VP score highest
Company size (employees) Explicit +5 to +20 Match to your ICP range
Industry Explicit +10 to +15 Target verticals score higher
Annual revenue Explicit +10 to +20 Enterprise vs SMB weighting
Geographic location Explicit +5 to +10 Serviceable regions only
Budget range Explicit +15 to +30 Critical BANT criterion
Pricing page visit Implicit +25 to +30 Strongest buying signal
Content downloads Implicit +10 to +20 Whitepapers > blog posts
Email engagement Implicit +5 to +15 Opens and clicks weighted
Return visits Implicit +15 to +25 Frequency and recency matter
Form completeness Implicit +5 to +10 More fields = more intent
Callback requested Implicit +20 to +25 Direct sales intent
Call duration Implicit +10 to +15 >3 min = engaged prospect
Social engagement Implicit +5 to +10 LinkedIn interactions
Referral source Implicit +15 to +20 Customer referrals = gold

Lead Scoring Software Comparison

How LimeCall stacks up against the top lead scoring platforms.

Feature LimeCall HubSpot Salesforce Einstein Marketo
Real-time callback scoring Yes — during live call No No No
AI-powered qualification Yes Limited Einstein (add-on) Predictive (premium)
Behavioural scoring Yes Yes Yes Yes
Demographic scoring Yes Yes Yes Yes
Auto-route by score Yes — 28s Manual workflows Flow Builder Via Salesforce
Phone-based signals Yes — call data No No No
Starting price From $0/mo $800/mo (Professional) $25/user/mo + Einstein $895/mo
Setup time 5 minutes Days Weeks Weeks

Sync Lead Scores to Your CRM

LimeCall pushes lead scores, qualification data, and routing decisions to your CRM in real time.

Salesforce

Sync lead scores as custom fields. Auto-update on every interaction.

HubSpot

Map LimeCall scores to HubSpot contact properties. Trigger workflows by score.

Pipedrive

Push scored leads with priority labels. Auto-create deals for A-leads.

Zapier

Connect to 5,000+ apps. Trigger actions when scores cross thresholds.

Case Study: 52% More SQLs with Callback-Based Scoring

Company

B2B SaaS (200 employees)

Challenge

Low SQL conversion rate

Timeline

90-day implementation

A mid-market B2B technology company was struggling with a 12% MQL-to-SQL conversion rate. Their marketing team generated 800+ leads per month, but sales reps complained that most were unqualified. Manual lead scoring in their CRM was inconsistent and time-consuming.

After implementing LimeCall's callback-based scoring, every inbound lead received an AI-powered qualification call within 28 seconds. During each call, LimeCall scored leads on BANT criteria, engagement signals, and company fit — producing a reliable score before the lead ever reached a human rep.

52%

Improvement in SQL rate

3.2x

Faster lead qualification

41%

Reduction in wasted rep time

Frequently Asked Questions About Lead Scoring

What is lead scoring? +

Lead scoring is a methodology used by sales and marketing teams to rank prospects based on their perceived value to the organisation. Each lead receives a numerical score based on criteria like job title, company size, website behaviour, email engagement, and call interactions. Higher scores indicate greater likelihood of conversion, allowing reps to prioritise their outreach on the most promising opportunities.

How do you score leads? +

Lead scoring typically combines explicit data (information the lead provides, such as job title, company size, and budget) with implicit data (behavioural signals like page views, content downloads, and email clicks). LimeCall adds a third dimension — real-time call qualification data gathered during AI-powered callback conversations, including BANT answers, call duration, and engagement signals. Points are assigned to each criterion, and the total score determines the lead's priority tier.

What is the difference between lead scoring and lead grading? +

Lead scoring measures a prospect's level of interest and engagement (behavioural signals), while lead grading evaluates how well a prospect matches your ideal customer profile (firmographic fit). Scoring asks "how interested is the lead?" while grading asks "how well does the lead fit?". The most effective systems use both — a lead can be highly engaged (high score) but a poor fit (low grade), or a perfect fit (high grade) with low engagement (low score). LimeCall combines both scoring and grading in its qualification process.

What is the best lead scoring software? +

The best lead scoring software depends on your tech stack, budget, and sales process. LimeCall is ideal for teams that want real-time, callback-based scoring with instant routing — scores are generated during live AI qualification calls and leads are routed in 28 seconds. HubSpot offers scoring within its CRM ecosystem starting at $800/mo. Salesforce Einstein provides AI-powered scoring as an add-on. For teams focused on speed-to-lead and phone-based sales, LimeCall offers the fastest time-to-value with a free plan available.

How to set up lead scoring in HubSpot? +

To set up lead scoring in HubSpot, navigate to Settings > Properties > HubSpot Score. Add positive score criteria (e.g., visited pricing page = +10) and negative criteria (e.g., unsubscribed from email = -15). HubSpot's default scoring is rule-based; predictive scoring requires Marketing Hub Enterprise. Alternatively, you can use LimeCall's scoring alongside HubSpot — LimeCall scores leads during callback conversations and syncs the scores to HubSpot contact properties for unified pipeline management.

What is a good lead score? +

A "good" lead score is relative to your scoring model and business. Most teams use a 0-100 scale and define tiers: A-leads (80-100) are sales-ready and should be contacted immediately, B-leads (50-79) are warm and should receive prioritised follow-up, C-leads (25-49) need nurturing, and D-leads (0-24) are unqualified. The key is calibrating your thresholds against actual conversion data — review quarterly and adjust. LimeCall automatically routes A-leads to senior AEs, B-leads to SDRs, and C-leads to nurture sequences.

Can lead scoring work for small businesses? +

Yes, lead scoring is especially valuable for small businesses with limited sales resources. When your team is small, you cannot afford to waste time on unqualified leads. Even a simple scoring model with 5-10 criteria can dramatically improve rep productivity. LimeCall offers lead scoring starting from its free plan — you can score leads based on callback interactions, website behaviour, and basic firmographic data without needing enterprise-level software or a dedicated ops team.

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