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Reading Amazon Brand Analytics data v1.0.0

Use this resource to interpret Amazon Brand Analytics data to guide catalog and advertising

New

  • 450 downloads
  • 214 likes
  • 138 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install amazon-brand-analytics-insights

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent decodes Search Frequency Rank data, market basket patterns, item comparisons and demographics, then turns them into a strategy. You get a report on keyword and bundle opportunities. This skill requires Brand Registry access.

Updated November 2, 2026

Card for the “Reading Amazon Brand Analytics data” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md : three-mode analysis method
  • SKILL.md : strategic report template per brand

Good fit for

  • You look for high-potential search keywords
  • You want to propose bundles or cross-sells

Not for

    Tags

    • amazon
    • brand analytics
    • keywords
    • data

    About

    You say

    “Analyze my brand's Brand Analytics data and find keywords where I am losing click share.”

    Card for the “Reading Amazon Brand Analytics data” skill

    Skill published by nexscope-ai under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to interpret Amazon Brand Analytics data to guide catalog and advertising
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md9.4 KB

    Origin and licence

    Listed unmodified

    Author
    nexscope-ai
    Source
    github.com/nexscope-ai/amazon-skills/tree/0f3b13fa0e5ed0a9f3d600dc18518bc76ddd813b/amazon-brand-analytics
    Licence
    MIT

    Notice

    « amazon-brand-analytics » (nexscope-ai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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