Executive Summary

GTM teams across marketing, sales, and product increasingly run experiments but rely on ad-hoc docs and sheets, which leads to lost learnings, duplicated tests, inconsistent metrics, and weak governance; this is a day-to-day pain for roughly 2M GTM-focused teams. The consequence is slower decision-making and wasted budget when insights aren’t captured or shared in a repeatable way. Build a lightweight, centralized experiment registry that records hypotheses, designs, metrics, and outcomes, ingests results from analytics and ad platforms, and uses AI to auto-summarize findings, flag signal vs. noise, and suggest next steps. Add role-based governance, lineage to campaigns/feature flags, and pre-built integrations to make it the single source of truth for cross-functional teams. The addressable market is roughly $6.0B (2M teams × $3K ACV), and current trends—rising experiment volume, martech consolidation, and maturing LLM capabilities—make the timing attractive (market score 86/100, revenue potential 80/100). Focus early on mid-market and product-led teams where experiment velocity and willingness to pay for efficiency gains are highest. You can differentiate by combining deep integrations, governance-first workflows, and AI-driven synthesis that materially reduces human synthesis time and prevents duplicate work. Expect challenges around integration friction, change management, and medium competition, so prioritize fast time-to-value, clear ROI metrics (fewer duplicate experiments, faster wins), and privacy-aware data handling to build trust.

Market Opportunity

Structured GTM experiment tracking to replace ad-hoc docs and sheets targets a $6.0B = 2M GTM-focused teams × $3K ACV total addressable market with medium saturation and a year-over-year growth rate of 15% YoY — based on Gartner and Forrester estimates for martech/experimentation spending trends (2022-2024 aggregate).

Key trends driving demand: Rising experiment volume — more teams run experiments across marketing, sales, and product, creating demand for centralized recording and governance.; AI-powered summarization — modern LLMs can extract outcomes, key learnings, and signal/noise from experiment logs and analytics automatically, lowering the cost of structured knowledge.; Martech consolidation pressures — teams want fewer connected tools with better workflows, creating an opening for purpose-built cross-functional experiment registries.; Shift from product-only experimentation to GTM experiments — marketing/sales experiments need different templates, success metrics, and decision workflows than product A/B tests..

Key competitors include Optimizely, GrowthBook, Notion/Sheets/Confluence (manual tools).

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Structured GTM experiment tracking to replace ad-hoc docs and sheets

Executive Summary

Market Validation

Market Opportunity

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