The Revenue Operations platform for identifying high-intent leads through predictive signal-based intelligence.
MadKudu is a premier predictive operations platform engineered for modern B2B Go-To-Market (GTM) teams, specifically those navigating the complexities of Product-Led Growth (PLG) and hybrid sales motions. By 2026, the platform has evolved from a traditional lead scoring engine into a comprehensive 'Revenue Copilot' architecture. It ingests massive datasets from CRM systems (Salesforce, HubSpot), product analytics (Amplitude, Mixpanel), and data warehouses (Snowflake, BigQuery) to generate real-time behavioral insights. Its technical core utilizes proprietary machine learning models that segment users based on 'Fit' (firmographics), 'Intent' (external signals), and 'Behavior' (product usage). This allows RevOps teams to identify Product Qualified Leads (PQLs) and expansion opportunities with high precision. The 2026 iteration features advanced LLM-powered enrichment and automated signal discovery, which removes the manual heavy lifting of defining scoring weights. MadKudu sits as the orchestration layer between a company's data lake and its execution tools, ensuring that sales teams focus only on accounts with the highest propensity to convert or expand, effectively reducing CAC and increasing NRR.
Uses unsupervised learning to surface hidden correlations between product actions and conversion that humans might miss.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Directly queries Snowflake or BigQuery without requiring data to be piped through a third-party ETL.
A generative AI interface that allows RevOps managers to query their data using natural language to build segments.
Allows running multiple scoring models (e.g., one for Self-Serve, one for Enterprise) on the same lead simultaneously.
Writes scores and signals directly back into operational tools like Intercom, Outreach, and Marketo.
Analyzes your best customers to find similar high-fit accounts within your database or external intent feeds.
Provides sub-second enrichment and scoring for web forms to enable dynamic routing.
Sales reps waste time calling users who signed up but never used the product.
Registry Updated:2/7/2026
Long forms drop conversion, but short forms lack data for routing.
Identifying accounts that are likely to cancel before they do.