MadKudu - 2026 Pricing, Features, Reviews & Alternatives

MadKudu is a cloud-based, SaaS-delivered customer and prospect intelligence platform built for B2B technology companies running product-led growth (PLG), account-based marketing (ABM), or outbound go-to-market motions. The platform aggregates first-party signals (CRM, marketing automation, website activity, product analytics), second-party signals (LinkedIn and GitHub engagement, job changes), and third-party signals (firmographic, demographic, technographic data) into a centralized intelligence layer. Machine learning models trained on historical CRM conversion data then score leads and accounts by Customer Fit, Likelihood to Buy, and Lead Grade, exposing the specific signals that drive each score through a transparent "glass box" approach. Scored signals are surfaced directly inside Salesforce, Outreach, Salesloft, and Gong Engage via embedded widgets and a prioritization inbox, reducing the need for context switching across tools.

MadKudu supports revenue operations, sales, and marketing teams that need a shared scoring model to coordinate on account prioritization. The Account Fit model identifies accounts that resemble current customers based on ICP attributes, while the Likelihood to Buy model detects behavioral patterns across website, product, and marketing interactions. For product-led growth teams, the platform identifies product-qualified leads (PQLs) and product-qualified accounts (PQAs) from product usage data sourced through integrations with Segment, Amplitude, and Mixpanel. Marketing analytics and budget allocation insights allow demand generation teams to evaluate pipeline contribution and optimize spend.

The platform connects to a broad integration ecosystem including Salesforce, HubSpot, Marketo, Eloqua, Outreach, Salesloft, Gong Engage, Snowflake, BigQuery, S3, Apollo.io, ZoomInfo, Clay, and Zapier. Programmatic access is available via a REST API, and a Model Context Protocol (MCP) server exposes real-time GTM data, including live account briefs, scores, and intent signals, to external AI tools such as ChatGPT and Claude, allowing AI agents to research accounts, draft outreach, and prepare for meetings without manual data export.