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    Customer Review Objection Analyzer

    1

    Analyze hundreds of customer reviews, rank recurring purchase objections, separate real product weaknesses from messaging problems, and generate evidence-backed sales copy and counterarguments.

    $5

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    Customer Review Objection Analyzer

    Customer Review Objection Analyzer

    Example session with this skill installed

    Analyze reviews.xlsx for our subscription meal-planning app.

    There are about 1,800 reviews from the last 12 months.

    I want to understand the biggest objections that could stop a prospect from buying.

    Please

    • normalize and deduplicate the reviews;
    • separate purchase objections from real product defects, service issues, and feature requests;
    • group similar objections;
    • rank the objections by frequency and severity;
    • cite the review IDs supporting every major cluster;
    • draft truthful counterarguments only when supported by product facts;
    • mark any unsupported response as PROOF_REQUIRED;
    • create product-page copy, FAQ answers, ad angles, and a separate list of product-improvement issues.

    Do not invent guarantees, statistics, or product capabilities.

    • Read your context and instructions
    • Compiled the customer review objection
    • Generated the data export

    Review objection analysis complete

    Reviews processed: 1,842
    Duplicate reviews removed: 37
    Meaningful objection clusters: 11
    Product-defect / improvement signals: 6
    Major objections with sufficient proof for messaging: 7
    Objections requiring additional proof: 4

    Top purchase objections

    RankObjectionReview countShareSeverity
    1“I won't have time to set this up”21411.6%High
    2“Will this work for picky eaters?”1689.1%High
    3“The subscription feels expensive”1437.8%High
    4“I don't want another complicated app”965.2%Medium

    Example objection

    Objection:
    “I won't have time to set this up.”

    What customers are really worried about:
    The recurring concern is not the app itself—it is the perceived effort required before the user receives value.

    Evidence:
    214 reviews mention setup time, onboarding effort, configuration, or difficulty getting started.

    Supporting review IDs include

    REV-00194, REV-00308, REV-00472, REV-00631, REV-00944

    Truthful response angle

    The supplied product documentation confirms that the app includes a guided onboarding checklist and default meal-plan templates.

    That supports messaging around reducing initial setup effort.

    Suggested product-page copy

    Start with a plan—not a blank screen.

    Use the guided setup and ready-made meal templates to build your first plan without configuring everything from scratch.

    Suggested FAQ

    How long does it take to get started?

    You can begin with the guided onboarding flow and pre-built meal templates instead of creating a plan from zero.

    PROOF_REQUIRED: Add a quantified setup-time claim only if the product team provides validated timing data.

    Product issue separated from messaging

    Signal: Recipe filtering becomes slow on older devices.

    This appeared in 61 reviews and was classified as a product-performance issue, not a sales objection.

    Recommended action: route to Product / Engineering rather than attempting to counter the concern with marketing copy.

    Files generated

    • normalized_reviews.csv
    • objection_clusters.json
    • objection_matrix.csv
    • evidence_audit.csv
    • sales_copy.md
    • faq_objection_handlers.md
    • counterarguments.md
    • product_improvement_signals.md
    • summary.json

    customer-review-objection-analyzer.csv

    CSV · data export

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Identify why customers hesitate to purchase based on real review data.Quantify the severity and frequency of specific product complaints.Generate sales copy that is strictly grounded in verified customer evidence.Surface product defect signals for engineering teams to prioritize.

    About this skill

    The problem

    Customer reviews contain the exact reasons buyers hesitate—but reading hundreds of reviews manually makes it easy to overfocus on a few loud complaints or miss recurring patterns.

    Generic AI summaries are often too vague to turn into useful sales messaging.

    What it does

    Customer Review Objection Analyzer converts large review datasets into a structured objection intelligence package.

    • Normalizes CSV, XLSX, JSON, TXT, and Markdown review exports
    • Removes duplicate review text from frequency counts
    • Groups recurring purchase objections into source-backed clusters
    • Separates objections from real product defects, delivery issues, and feature requests
    • Quantifies frequency and severity
    • Links every major finding back to review IDs
    • Identifies where proof is required before a counterargument can be used
    • Drafts product-page copy, FAQ answers, checkout reassurance, ad angles, and sales rebuttals
    • Creates a separate product-improvement signal report

    Why this beats prompting it yourself

    A generic prompt can summarize reviews, but it may lose track of which customers said what, inflate a pattern from a handful of comments, or create counterarguments that are not supported by product facts.

    This skill forces a staged workflow:

    Reviews → Signals → Objection Clusters → Evidence Validation → Prioritization → Sales Messaging

    Every major objection remains tied to its supporting review IDs.

    It doesn't hide real product problems

    Not every negative review should become marketing copy. Genuine defect, reliability, delivery, or feature problems are separated into a product-improvement report instead of being disguised with persuasive messaging.

    Evidence-backed copy

    Counterarguments are generated only when supported by known product facts, policies, or reliable evidence.

    If proof is missing, the skill outputs PROOF_REQUIRED rather than inventing a guarantee or claim.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    Recently published to Agensi

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    Security scanned

    Verified clean 9 days ago

    • Passed all security checks, Safe to install

    Listed9 days ago

    What's inside

    Frequently Asked Questions