What problem does it solve?
Funnel-review identifies why a funnel underperforms by scoring its traffic-to-offer fit, offer stack design, proof quality, VSL structure, and affiliate readiness so you can prioritize the highest-impact changes instead of guessing.
Core Features & Use Cases
- Structured funnel scoring: Produces a /100 scorecard across traffic-funnel match, offer stack architecture, proof quality, VSL structure (when present), and affiliate readiness.
- Benchmark-based diagnostics: Compares your funnel against vetted research benchmarks and specific checklist criteria to detect common failure modes.
- Prioritized fix list: Ranks every failed check by revenue impact with P1/P2/P3 guidance to support an actionable launch or scale decision.
Use case example: A B2B founder asks for a funnel audit after conversion rates drop, and the skill evaluates whether the traffic temperature matches the funnel type and whether the offer stack layers (order bump, continuity, backend/ascension) are present to support the target metric.
Quick Start
Ask the AI: "Grade my funnel and produce a funnel review scorecard with a prioritized fix list."