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The GTM Stack
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Madkudu

Analytics & Revenue IntelligenceIntent & SignalsGTM Ops & Workflow

Predictive lead scoring for PLG companies — the tool that tells your sales team which free users are actually worth calling

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GTM Pipeline Position

Prospect
Enrich
Sequence
Deliver
Engage
Analyze
Close

The Verdict

MadKudu is a specialized AI scoring platform ideal for PLG SaaS companies that need to convert product usage into sales-ready leads. Requires data maturity and enterprise budget.

Best For

PLG SaaS companies with high free-to-paid conversion volume who need to prioritize which product-qualified leads get human outreach

Not Great For

Companies without product usage data or companies where all leads need sales attention — you need signal differentiation for scoring to matter

Overview

MadKudu is an AI-powered lead scoring and signal intelligence platform that helps GTM teams identify and prioritize the most promising leads and accounts. It uses machine learning to score leads based on behavioral and firmographic data, integrating with CRMs and marketing automation platforms.

Target Users

RevOps, Marketing Ops, Sales Ops at PLG and B2B SaaS companies

Team Size

50-5000+

Capabilities

Key Features

  • AI-powered lead scoring
  • Product-qualified lead (PQL) scoring
  • Behavioral and firmographic analysis
  • Signal intelligence for sellers
  • CRM and marketing automation integration
  • Predictive models
  • Account scoring

Benefits

  • Prioritize the right leads for sales to focus on
  • Turn product usage signals into actionable scores
  • Reduce time wasted on unqualified leads
  • ML-based scoring adapts and improves over time
AI Features
Machine learning lead scoring, predictive models, signal intelligence
Ease of Use
Complex — requires data integration and model training

Pros & Cons

Pros

  • +Strong ML-based scoring for PLG companies
  • +Deep product usage signal analysis
  • +Good Salesforce and HubSpot integrations
  • +Adapts scoring models over time

Cons

  • -No transparent pricing
  • -Complex implementation
  • -Requires significant data volume for effective scoring
  • -Website provides very little detail (JS-heavy)

Outbound Use Cases

Lead prioritizationPQL identificationAccount scoring

Financials & Scale

Pricing Model
Custom / Enterprise
Starting Price
Custom (contact sales)
Cost at Scale
Enterprise pricing — typically $30K-100K+/year
Total Funding
$28M+
Free Trial
No
Pricing Comparison Note

Madkudu pricing is custom, typically $2K-5K/mo. Pocus is similar. HubSpot includes basic scoring for free. Salesforce Einstein is included in Enterprise. The ROI depends on PLG volume — if you have 10K+ free signups/month and 5 sales reps, knowing which 50 to call is worth $5K/mo.

The Reddit Pulse

Sentiment: limited

Community Pros

  • +Strong predictive lead scoring for PLG companies
  • +Good integration with product analytics data
  • +Helps prioritize PQLs (product-qualified leads)

Community Cons

  • -Very niche - primarily for PLG SaaS companies
  • -Expensive for smaller teams
  • -Limited Reddit discussion suggests small user base
  • -Requires significant data to be effective

Reddit Questions

  • ? Is MadKudu worth it for product-led growth scoring?
  • ? How does MadKudu compare to built-in HubSpot/Salesforce lead scoring?

Thinking of Switching?

Pocus
Product-led sales platform with similar signal-based selling
Clearbit
Company enrichment that feeds lead scoring models
HubSpot Lead Scoring
Basic scoring built into HubSpot — free if you're already there
Salesforce Einstein
Native AI scoring if you're on Salesforce
6sense
Enterprise intent + scoring for ABM-focused teams

Competitive Landscape

6senseClearbitPocusCorrelatedToplyne

Technical Stack

API Access
Compliance
SOC 2
Platforms
Web

Integrations

SalesforceHubSpotMarketoSegmentSlack
CRM Integrations
SalesforceHubSpot
Zapier / Make / n8n
Data Export
CRM sync, API

Data Intelligence

Data Specialty
Behavioral signalsProduct usage dataFirmographic data
Data Freshness
Real-time scoring
Signal Types
Product usageBehavioral intentFirmographic

Head-to-Head Comparisons

Company Intel

Headquarters
Mountain View, CA
Founded
2014
Leadership
Sam Levan (Co-founder & CEO)
Employees
50-100

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Resources & Links

Support Channels
EmailDedicated CSM
#lead-scoring#predictive-analytics#ai-scoring#plg-scoring#product-qualified-leads#revenue-intelligence#signal-intelligence#gtm-ops