FunnelStory

The foundational data structure that autonomous AI agents read from to plan, reason, and execute high-stakes B2B operations with enterprise-grade reliability.

FunnelStory empowers customer success teams with AI-driven workflows that increase productivity, reduce churn, and improve retention by surfacing the leading indicators of churn automatically.

The page explains the difference between ARR and MRR and how customer success leaders use them to track revenue health and predict churn.

The page delivers trial insights to readers’ inboxes.

Notes from three years building a GTM context graph in production. The 95% ontology finding, why pre-computed truth beats RAG, and where agent traces actually fit.

Most AI agents rebuild business context at runtime, on every question. A GTM context graph computes customer truth before the agent asks — so agents can do the work, not just retrieve data.

FunnelStory offers pricing plans and AI-driven solutions aimed at reducing customer churn, strengthening retention, and improving customer success productivity.

For high-stakes enterprise data, FunnelStory's Intelligence Graph provides consistent, auditable answers, unlike raw LLMs like Claude, which are non-deterministic.

FunnelStory aims to help businesses improve customer retention and customer success productivity and stay ahead of customer churn with data-driven AI solutions.

AI Outcome Agents for post-sales revenue — eliminate surprise churn and scale CS productivity with the Customer Intelligence Graph.

The page describes how data is kept safe and processed when FunnelStory is used to capture POCs.

The page describes FunnelStory's terms of service and how they work.