Synthesize revenue, product, marketing data into one AI explanation

Synthesize revenue, product, marketing data into one AI explanation targets a $6.0B = 2M digital-first SMBs × $3K ACV total addressable market with medium saturation and a year-over-year growth rate of 12% YoY (market for analytics & martech consolidation, per industry reports and Gartner commentary on analytics & revenue intelligence growth).

Key trends driving demand: Unified data stacks (data warehouses + reverse ETL) are reducing integration friction, which creates an opportunity to layer value-added insight products on top.; Demand for revenue-grade attribution is increasing as CFOs and GTM leaders push for clearer links between spend and MRR.; LLMs and specialized causal inference tools make automated, human-readable explanations possible without building expensive internal ML teams.; Product-led growth and subscription models push more companies to monitor fine-grained changes to onboarding funnels and monetization — teams need faster explanations..