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SP Keyword Character Checker

Clean special characters first, then upload Sponsored Products targets or negatives into Amazon Ads.

SP Keyword Character Checker is a pre-flight compliance tool inside Satlis. It does not connect to Amazon Ads directly and it does not make bidding decisions for you. Instead, it applies Sponsored Products character rules, flags invalid characters, generates cleaned output, and shows which terms still need a manual rewrite before upload.

When To Use

Use this page before bulk-uploading Sponsored Products targets or negatives into Amazon Ads so formatting issues are caught earlier.

It works best on raw keyword lists pulled from search term reports, mining workflows, shared team spreadsheets, or manual PPC build sheets.

Workflow

The page follows a fixed flow: paste raw terms, review the highlighted characters and cleaned output, then copy the compliant version back into your PPC execution workflow.

  1. 1

    Step 1: Paste SP Targets or Negatives

    Use line breaks, commas, semicolons, or tabs. One term per line is the easiest format to review.

  2. 2

    Step 2: Review Invalid Characters and the Rule Source

    The page explains Sponsored Products character rules and highlights problematic characters directly in the original input.

  3. 3

    Step 3: Validate the Cleaned Output

    The system removes invalid characters automatically, but still flags terms that need a manual rewrite instead of forcing a bad replacement.

This tool answers “Can this term pass character rules?” It does not answer “Should I target this keyword?” That decision still belongs to the operator.

How It Evaluates Terms

The page makes the Sponsored Products manual-keyword rule set explicit: letters, numbers, and spaces can stay, while special characters are flagged.

If a term still preserves its meaning after cleanup, the tool returns a copy-ready sanitized version. If cleanup strips the term too far or leaves it blank, the page tells you to rewrite it manually.

  • The left side keeps the original term so you can locate the exact problem character
  • The right side outputs the sanitized version for copy-back execution
  • The page counts total terms, flagged terms, and terms that already pass as-is
  • Invalid characters are aggregated at term level so you can spot the pattern inside a keyword pack

What You Get

After processing, the page gives you a clean working list for Amazon Ads plus a separate set of terms that still need manual review.

  • Original-input preview with invalid-character highlights
  • Sanitized output you can paste back into Amazon Ads
  • A manual-rewrite warning when a cleaned term no longer makes sense
  • Copy actions for both flagged originals and sanitized results

Best Practices

Use it before large PPC uploads instead of waiting for Amazon Ads validation errors to force rework.

If multiple teammates share keyword packs, keep the original-vs-sanitized comparison so recurring character issues can be traced back to the source.

  • Run every large target pack through character cleanup before handoff
  • If cleanup returns a blank or distorted term, rewrite it manually instead of forcing it live
  • Review languages in batches to keep validation cleaner and faster