What problem does it solve? Lead-generation pages often ship with competing calls to action, long forms, and unverifiable trust claims, and teams then change them based on opinion rather than data. This Skill provides structural conversion-rate-optimization rules for es-MX service business sites on the Astro/Cloudflare stack, enforcing an instrumentation-first sequence so every change is measured. ## Core Features & Use Cases - Primary-conversion decision framework: Choose exactly one primary action (WhatsApp deep link, short form, or tel: click-to-call) based on how the business actually closes, with the secondary action kept at reduced visual weight. - Landing hierarchy and trust signals: A four-part section order (fold, evidence, objection ground, closing ask) plus es-MX-specific trust slots like physical address, horarios, CFDI availability, and aviso de privacidad links. - Measurement-gated experiment loop: Hypotheses name a funnel leak, one variant tests at a time via edge-logic's A/B pattern with ab_expose and funnel events, and losing variants are removed. - Use Case: When building a landing page for a Mexican plumbing service, use this Skill to decide WhatsApp as the primary CTA, cap the contact form at three fields plus consent, place verifiable trust signals, and queue a CTA-placement experiment only after baseline analytics accumulate. ## Quick Start Use the conversion-patterns skill to structure the landing page for my service business with a single primary CTA and a measurement plan.
