Overview

This article explains how keyword search sessions, filters, and pre-applied filters work in the Keyword Researcher tool. These capabilities help sellers narrow large keyword sets into a focused, actionable list while maintaining consistency across keyword research workflows.

Explanation

Keyword Researcher organizes keyword discovery into sessions. Each session represents a single keyword search run based on a seed keyword, selected marketplace, and optional product context.

Within a session, filters can be applied to refine keywords based on relevancy, demand, performance indicators, and data source. Pre-applied filters allow commonly used filter combinations to be reused automatically across sessions.

Keyword Search Sessions

Each keyword search runs as an independent session and captures:

1. Seed keyword used for discovery.

2. Marketplace selected for the search.

3. Search status (In Progress or Completed).

4. Total number of keywords discovered.

5. Timestamp of when the search was executed. 

   
   
   

Sessions allow sellers to review, compare, and revisit keyword research runs without overwriting previous results.

Filters and Refinement

Filters help reduce large keyword lists into a manageable and relevant set.

Keyword Filters include:

1. Include Keywords

2. Exclude Keywords

Metric Filters include:

1. Keyword Relevancy (High, Medium, Low)

2. Search Query Volume (SQP)

3. Gross Revenue (SQP)

4. Search Frequency Rank (SFR)

5. Click Rate (SQP)

6. Click Potential

7. Conversion Potential

8. Keyword Type

9. Data Source 

   
   
   

Filters are applied only to the active session and do not modify underlying keyword data.

Pre-Applied Filters

Pre-applied filters allow sellers to save frequently used filter combinations for reuse.

They are used to:

1. Maintain consistent filtering logic across sessions.

2. Reduce repetitive manual filtering.

3. Standardize keyword qualification criteria. 
   

Important Rules and Behavior

NOTE:
Filters affect only how keywords are displayed and shortlisted. They do not change keyword discovery or underlying data.

Key behaviors include:

1. Filters apply only within the selected session.

2. Pre-applied filters do not retroactively affect past sessions.

3. Always Apply filters remain active across sessions until manually disabled.

4. Sessions preserve original results even when filters are modified.

Usage

Filters and sessions are most useful when sellers need to:

1. Shortlist high-relevance keywords from large result sets.

2. Apply consistent qualification logic across multiple searches.

3. Compare keyword opportunities across different seed keywords.

4. Reduce noise from irrelevant or low-quality terms.

Summary

Keyword Researcher sessions, filters, and pre-applied filters provide structured control over keyword refinement. By separating keyword discovery from filtering logic, the system ensures that sellers can experiment, standardize, and iterate on keyword research without losing original data or consistency across workflows.