2
    review-to-marketing-insight-extractor

    Review to Marketing Insight Extractor

    Turn raw customer reviews into evidence-grounded marketing reports, customer language banks, and JSON insights.

    Updated Jun 2026
    99 views
    Security scanned

    $6

    · or 30 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Build a 'voice of customer' language bank for high-converting ad copy.
    • Identify common friction points and objections to improve landing page FAQs.
    • Ready for OpenClaw
    • Includes example output and usage patterns
    • Instant install

    Sample input

    Analyze the 50 reviews in g2-export.csv for Acme Studio. Identify recurring language and objections to help us draft a new 'Power User' landing page.

    Sample output

    Marketing Insights

    Customer Language

    • "Game-changer for my workflow" (Mentioned 12x)

    Key Objections

    • High learning curve for non-devs

    Angle: "The Power User's Secret"

    Use customer's exact phrasing: "Finally, an agent that doesn't just hallucinate." [Source: G2 Review #42]

    Screenshots

    About This Skill

    What it does

    This skill transforms raw customer feedback into a data-driven marketing strategy. Unlike generic copywriters, it acts as a qualitative data scientist, processing CSVs, JSON files, or live URLs to extract grounded insights. It identifies recurring customer language, hidden objections, and winning message angles to build a high-conversion marketing foundation.

    How it works

    The skill follows a deterministic workflow: it validates and deduplicates input, redacts sensitive PII, and then perform deep thematic analysis. It generates two primary artifacts: a structured insights.json for programmatic use and a polished marketing-insights.md report for stakeholders.

    Supported tools

    • Python/PowerShell: Ready for CLI-based automation.
    • Data Sources: Supports CSV/JSON exports and schema.org JSON-LD web scraping.
    • Frameworks: Optimized for agentic workflows using OpenClaw.

    Why use this skill?

    Prompting an AI yourself often leads to "hallucinated" marketing fluff. This skill enforces rigorous evidence-grounded analysis, ensuring every recommendation is backed by actual customer snippets. It handles the "boring" parts—cleaning data, redacting IDs, and structured formatting—so you can focus on strategy.

    Use Cases

    • Build a 'voice of customer' language bank for high-converting ad copy.
    • Identify common friction points and objections to improve landing page FAQs.
    • Extract structured JSON data from live review URLs using built-in scraping.
    • Segment your audience based on actual product usage mentioned in testimonials.

    Reviews

    No reviews yet - be the first to share your experience.

    Only users who have downloaded or purchased this skill can leave a review.

    Security Scanned

    Passed automated security review

    Permissions

    Allowed Hosts

    example.com

    File Scopes

    review-to-marketing-insight-extractor-marketplace/**

    OpenClaw, Python-based CLI agents, and SKILL.md-compatible agentic workflows.

    Frequently Asked Questions