product page revenue leak doctor

    by nowrich

    1

    Diagnoses conversion bottlenecks and prioritizes high-impact revenue fixes for product pages.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Our product page has a 12% add-to-cart rate but only 1% of those users actually buy. The ads promise free shipping, but the page doesn't mention it. Help me fix the leak.

    Your agent does

    Summary: Conversion score 42/100. Top Leak: Add-to-cart vs. Checkout Start (Trust/Price friction).

    Prioritized Fixes:

    1. Add "Free Shipping" banner in hero (Impact: High, Effort: Low).
    2. Add trust badges near CTA (Impact: High, Effort: Low).

    What you get

    Find the exact drop-off point in your purchase funnel.Score the message-match between your ad copy and landing page.Prioritize CRO tasks based on impact-to-effort ratios.Audit product descriptions and headlines for conversion clarity.

    About this skill

    The problem

    High traffic volumes are useless if users drop off at the cart or bounce due to misaligned messaging. Most developers and store owners struggle to identify exactly why their conversion rate is lagging despite spending on ads.

    What it does

    • Analyzes funnel metrics to locate the exact step where users exit your revenue path.
    • Audits page copy, headlines, and CTAs for benefit-driven clarity and value propositions.
    • Evaluates visual trust signals including product imagery, social proof, and review transparency.
    • Calculates message-match scores between ad sources and landing page content to find continuity gaps.
    • Generates a prioritized fix plan ranked by impact-to-effort ratio.

    Why this beats prompting it yourself

    Generic prompts often miss the subtle friction between checkout initiation and purchase completion. This skill uses a structured seven-step diagnostic framework that forces a logical audit of traffic intent versus page execution, ensuring you don't waste time on low-impact design changes.

    Use cases

    • Diagnosing high add-to-cart rates that result in zero completed purchases.
    • Auditing a landing page before launching a high-budget paid ad campaign.
    • Identifying why mobile users are bouncing at a higher rate than desktop users.
    • Reviewing a product page after a dip in organic conversion performance.

    Known limitations

    Requires qualitative or quantitative data inputs to be effective. If no traffic data is provided, the diagnosis is limited to heuristic analysis and marked as qualitative only.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Recently published to Agensi

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