mx-search-term-negation

Automate Amazon PPC search term negation using MixShift and SP-API.

2|Updated May 13, 2026
One-click install
npx skills add https://github.com/miXshift/mx-claude-plugin --skill mx-search-term-negation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mx-search-term-negation
Source: https://github.com/miXshift/mx-claude-plugin/tree/main/plugins/mixshift-ai/skills/mx-search-term-negation
Command: npx skills add https://github.com/miXshift/mx-claude-plugin --skill mx-search-term-negation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires mx-search-term-data-pull, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the systematic review of Amazon PPC search term performance to identify irrelevant traffic and implement negative keywords, optimizing Amazon advertising campaigns.

Core Features & Use Cases

  • Search Term Analysis: Identifies irrelevant search terms and categorizes them for negation.
  • Negative Keyword Strategy: Implements surgical negative keywords at exact and phrase levels.
  • Automated Workflow: Runs the entire negation process, including pre-work requirements, data preparation, performance health checks, irrelevance analysis, historical impact analysis, negation implementation strategy, ASIN discovery review, and quality control checks.
  • Use Case: A user can run the 'mx-search-term-negation' skill to automatically analyze search term performance and apply negative keywords to optimize their Amazon PPC campaigns.

Quick Start

Run the mx-search-term-negation skill to begin the negation analysis for your Amazon PPC campaigns.

Frequently Asked Questions about mx-search-term-negation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I identify irrelevant Amazon PPC search terms for negative keyword negation?

Amazon PPC search term negation identifies irrelevant traffic by automating systematic performance reviews, categorizing terms through trend analysis, and implementing surgical exact and phrase negative keywords to optimize campaigns.

What is the process for automating negative keyword strategy in Amazon advertising?

Automating negative keyword strategy involves pre-work data preparation, performance health checks, irrelevance analysis, historical impact analysis, negation implementation, ASIN discovery review, and quality control validation to optimize Amazon PPC campaigns.

Do I need pre-computed data files to analyze Amazon PPC search term performance?

Yes, analyzing Amazon PPC search term performance requires pre-computed data files, MixShift context with authentication, and API access to MixShift services and Amazon's SP-API to execute the negation workflow.

How does trend analysis work for Amazon PPC negative keyword implementation?

Trend analysis for Amazon PPC negative keywords reviews historical search term performance data to categorize irrelevant terms, enabling surgical negation decisions at exact and phrase levels to prevent wasted ad spend.

Can I use MixShift to apply negative keywords directly through Amazon's SP-API?

Yes, MixShift uses API access to Amazon's SP-API to implement negative keyword decisions, applying exact and phrase level negations to optimize Amazon PPC campaigns after systematic validation checks.

What are the limitations of automated search term negation for Amazon PPC campaigns?

Automated search term negation operates only on pre-computed data and requires MixShift authentication, specific data files, and SP-API access, meaning it cannot process real-time search term data or function without these dependencies.