Rules-based 6-stage conversational lead capture to fix unreliable LLM timing

Rules-based 6-stage conversational lead capture to fix unreliable LLM timing targets a $6.0B = 2M businesses × $3K ACV total addressable market with medium saturation and a year-over-year growth rate of 12% YoY — conversational marketing and martech adoption growing (Gartner/Forrester industry estimates aggregated).

Key trends driving demand: Conversational AI adoption — businesses are adding chat to websites but are dissatisfied with unpredictable LLM behavior, creating demand for deterministic conversion controls.; Privacy and tracking shifts — changes in browser tracking increase the value of on-site capture channels, making reliable chat capture more valuable.; Composable martech stacks — APIs and CRMs are easier to integrate with, enabling smaller vendors to plug directly into lead workflows and compete on specialization.; Data-driven marketing — marketers increasingly demand measurable, testable components (A/B tests, benchmarks) which favors products that provide conversion analytics out of the box..