Marketing
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landing-page-conversion-audit

Perform a structured 8-factor conversion rate optimization (CRO) audit of any landing page to identify friction points and opportunities for growth.

Introduction

The Landing Page Conversion Audit skill is a professional-grade marketing analysis tool designed to evaluate web performance through a rigorous 8-factor framework. It acts as an expert consultant, helping marketers, founders, and product managers identify why their landing pages fail to convert traffic into leads or sales. By analyzing URL content, pasted copy, or visual screenshots, the agent performs a systematic assessment, assigning scores from 0-10 for each factor to generate an actionable, prioritized roadmap for improvement. It focuses on critical areas such as clarity of value propositions, psychological triggers, and technical friction, providing the data-backed insights necessary for effective split testing and iterative page optimization.

  • Evaluates headline clarity and specific value propositions to ensure instant audience resonance.

  • Assesses subheadline and body copy for scannability, problem-awareness, and persuasive flow.

  • Reviews the quality and strategic placement of social proof, including testimonials, case studies, and trust signals.

  • Analyzes CTA effectiveness, visual hierarchy, and the overall path to conversion.

  • Identifies technical friction points related to mobile optimization and page loading signals.

  • Generates a scored executive summary (0-80 points) with a prioritized fix list for quick wins and long-term strategic growth.

  • Operates by fetching web data via tools or parsing provided text and visual inputs.

  • Best used when traffic is high but conversion rate is low, or when launching new landing pages to ensure conversion readiness.

  • Does not require a live URL; works effectively with screenshots or raw copy drafts for pre-launch feedback.

  • Scoring is conservative; the agent flags missing information rather than making assumptions, ensuring audit integrity.

  • Designed to be used in conjunction with A/B testing platforms and analytics suites like Google Analytics or Hotjar.

  • Limitations include inherent constraints when analyzing visual hierarchy from static images without fully interactive browser state data.

Repository Stats

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Language
Python
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