Editorial Policy

    Last Updated: March 30, 2026

    Last updated: March 30, 2026

    At SoldScope, we build tools and content used in real Amazon product decisions. This policy explains how we ensure data accuracy, maintain content quality, and apply AI responsibly across our platform.

    1. Data Integrity & Accuracy (Our Tools)

    As a provider of decision-critical tools such as Rank Tracker, Product Research, and Listing Builder, we prioritize data quality above all else.

    Source reliability

    We use official Amazon SP-API connections and marketplace signals to ensure data is based on real, up-to-date information.

    Continuous processing

    Our systems analyze thousands of products, keywords, and marketplace signals daily to reflect real-world Amazon activity.

    Verification & auditing

    Our algorithms are continuously monitored and refined to ensure keyword rankings, search volumes, and product insights remain as accurate as technically possible.

    Transparency

    We clearly distinguish between raw Amazon data and SoldScope-generated estimates (such as projected sales). All estimates are based on statistically grounded models.

    2. Educational Content, Blog & Glossary

    Our educational content is designed to help Amazon sellers make informed decisions using clear, reliable, and practical information.

    Evidence-based approach

    All content is grounded in real marketplace data, industry knowledge, and proven Amazon strategies.

    Standardized terminology

    Glossary definitions align with official Amazon documentation and widely accepted e-commerce standards.

    Practical relevance

    Content focuses on real use cases such as product research, keyword optimization, and listing performance.

    Regular updates

    We review and update content to reflect changes in Amazon systems, ranking factors, and policies.

    Expert review process

    Content is created or reviewed based on hands-on experience in Amazon FBA, SEO, and marketplace analytics.

    3. AI-Generated Content (Listing Builder & Brand Generator)

    SoldScope uses advanced AI systems to assist users in generating listings, keywords, and brand ideas. We follow a strict human-in-the-loop approach.

    Assistance, not replacement

    AI provides structured suggestions and starting points. Users are expected to review and adapt outputs to match their product and brand.

    Controlled generation

    AI outputs are guided by structured prompts and monitored for relevance, clarity, and compliance.

    Compliance awareness

    Our systems are designed to help avoid restricted claims and formatting issues based on Amazon guidelines.

    User responsibility

    Final accuracy, compliance, and product-specific details remain the responsibility of the seller.

    4. Real-World Application

    SoldScope tools are used to:

    • Evaluate product opportunities
    • Estimate profitability before launch
    • Analyze competitors and demand
    • Optimize listings and keyword strategy

    Our platform is built to support real decisions in live Amazon marketplaces, not theoretical scenarios.

    5. Transparency and Independence

    SoldScope is developed and operated by Data Faber LLC, a company focused on data-driven tools for e-commerce analytics.

    Objectivity

    Our tools rank and analyze products based on data and algorithms, not paid placements or affiliate influence.

    Independence

    We do not manipulate results for commercial partnerships.

    Disclosure

    If third-party services are referenced, any affiliate relationships are clearly disclosed.

    6. Limitations & Responsible Use

    While SoldScope strives for high accuracy, Amazon does not publicly disclose all internal systems and ranking factors.

    • Estimates should be used as directional insights, not exact values
    • Results may vary depending on market conditions
    • Additional factors such as sourcing, logistics, and competition should be considered

    We encourage users to combine SoldScope insights with their own analysis when making decisions.

    7. Corrections and Feedback

    We continuously improve our data and content based on real-world usage.

    User feedback

    If you identify inaccuracies or outdated information, please contact our support team.

    Continuous improvement

    All reported issues are reviewed and addressed to maintain the highest level of accuracy and relevance.

    Why this policy matters

    • Ensures the data you rely on is consistent and transparent
    • Explains how estimates and insights are generated
    • Clarifies how AI is used responsibly
    • Defines how content is created, reviewed, and updated

    © 2026 Data Faber LLC d/b/a SoldScope