Relevance Test

Relevance Test answers a seller-critical question: Does the search system recognize my product for this keyword? Only indexed keywords can earn organic visibility, and intent alignment determines whether that visibility turns into orders.

How to Use

Follow these steps to validate relevance and remove low-probability keywords fast:

  1. Install Browser Extension

    Install the Satlis extension from the Chrome Web Store and log in to your account.

  2. Enter Task Information

    Enter a task name, select the target marketplace and language, input the ASIN list to test (one per line, batch testing supported).

  3. Enter Keywords

    Enter the list of keywords to check (one per line). The system will detect the indexing status of each keyword for your products.

  4. View Results

    After the task completes, review the indexing ratio and relevance level for each keyword. Export data for advertising decisions.

  5. Search Tasks

    Use the search box to quickly locate past relevance test tasks.

  6. Review Task List

    Check task status and access results for comparisons and re-tests.

What is Relevance Testing?

Relevance Testing checks whether your ASINs appear in search results for a keyword. This is the eligibility signal you need before spending on ads or expecting organic orders.

  • Tests multiple ASINs against keywords simultaneously
  • Measures actual Amazon search result visibility
  • Calculates relevance ratio from real indexing data, not assumptions

How is Relevance Calculated?

The relevance score is calculated based on how many of your tested ASINs appear in Amazon search results for each keyword:

Relevance Calculation Formula
Relevance Ratio = (Number of tested ASINs indexed for keyword ÷ Total number of ASINs tested) × 100%
Example: If you test 10 ASINs and 5 appear in search results for a keyword, the relevance ratio is 50%.

Total Products

i

The total number of ASINs you entered for testing

Indexed Products

i

Of your tested ASINs, the number that appear in Amazon search results for this keyword

Relevance Ratio

i

The percentage of tested ASINs that are indexed for this keyword

Relevance Levels Explained

Based on the relevance ratio, keywords are classified into four levels:

HighHigh Relevance

Most of your products appear in search results. The search system considers this keyword highly relevant to your products.

Priority Investment - These keywords have strong relevance and high potential for ad conversion.
MediumMedium Relevance

A significant portion of your products appear in search results. The keyword has moderate relevance.

Test Carefully - Consider testing with lower bids before scaling up.
LowLow Relevance

Only a small portion of your products appear in search results. The keyword has weak relevance.

Not Recommended - Low relevance may result in poor ad performance and wasted budget.
NoneNo Relevance

Very few or none of your products appear in search results. The keyword may not be relevant to your products.

Avoid Investing - Advertising on these keywords will likely have very low ROI.

Advertising Decisions

Use relevance data to optimize your PPC campaigns:

  • Focus budget on high-relevance keywords for better ACOS
  • Use medium-relevance keywords for discovery campaigns
  • Avoid low-relevance keywords to reduce wasted spend
  • Follow backend Search Terms best practices (byte limit, space-separated terms, no repeats) to stabilize indexing

Best Practices

  1. Test Multiple ASINs

    Include all relevant variations so the relevance ratio reflects your real product line, not a single ASIN outlier.

  2. Follow Search Terms Best Practices

    Keep backend Search Terms within byte limits, use space-separated terms, and avoid repeats to improve stable indexing.

  3. Regular Re-testing

    Indexing changes over time. Re-test keywords after listing edits, seasonality shifts, or price changes.

  4. Use for Listing Optimization

    Low relevance on a high-intent term is a signal to fix your listing (title, bullets, A+, attributes) before spending.

References

Authoritative references used to explain indexing, listing rules, and best practices: