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Ranking Changes In Minutes

Compare two periods of GSC data, see which pages gained or lost rankings. Free.

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Running google search console ranking changes analysis analysis...

Running google search console ranking changes analysis analysis...

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How it works

Compares two time periods of GSC data to identify ranking winners and losers. Categorizes pages by how much they moved and quantifies the click impact.

Use this when you want to see what changed in your search rankings between two periods (e.g., before and after a site update).

If you want to find optimization opportunities (not changes), use Quick Wins.

Built for: SEO manager, webmaster, content strategist

Typical data source: Two GSC performance exports for different date ranges

marketingpublishingsaas

What data do you need?

GSC data for two comparison periods

page (categorical) clicks (numeric) impressions (numeric) position (numeric)
/blog/guide 100 3000 5.2
/pricing 50 1500 12.8
/features 200 6000 3.1

Minimum 10 rows · Best with 50-1000 pages

What's in the report?

Compare two time periods of Google Search Console data to identify and quantify ranking changes, categorize winners and losers, and measure traffic impact of position shifts.

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Top Movers

Pages with the largest ranking position changes

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Winners

Pages that improved in ranking position

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Losers

Pages that declined in ranking position

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Change Breakdown

Pages categorized by type of ranking change (improved, declined, stable, new, lost)

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Position Distribution

Baseline vs comparison position scatter (below diagonal = improved)

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Traffic Impact Summary

Aggregate click, impression, CTR, and position changes

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AI Insights

Plain-English interpretation — what the numbers mean, what's significant, and what to do next.

Related tools

Need something simpler? Quick Wins — Want opportunities, not change tracking

Similar: Title Ab Test

Questions?

See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.

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