Filters let you focus the dashboard on exactly the traffic you care about—by date, query, page, market, device, branding, and your own topics/clusters. This guide explains each filter, how they combine, and a few quick recipes.
Where filters apply
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Everything on the Dashboard: KPI cards, the main time series, and the Queries / Pages / Countries / Devices tables.
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Exports: CSV/Sheets exports respect the filters you set.
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Share links: Copy link preserves current filters so teammates see the same view.
Logic: Filters across different categories combine with AND (e.g., Date AND Country AND Device). Within a single multi-select (e.g., multiple countries) they combine with OR.
Filter types
1) Date range
Pick any range (e.g., Last 7 / 28 / 90 days, custom dates).
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Group by controls chart aggregation: Day / Week / Month.
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Compare to adds deltas vs Previous period or Year over year with day-of-week matching (fair weekend/weekday comparisons).
Tip: If today looks low, remember GSC may delay the latest day’s data.
2) Country
Slice performance by market. Supports multi-select (e.g., US OR CA).
3) Device
Desktop, Mobile, Tablet. Multi-select allowed.
4) Page (URL)
Focus on specific pages or URL patterns.
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Type/paste a full URL or a prefix (e.g., /collections/ to target a section).
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Click a row in Pages to auto-filter by that page.
3) Query
Filter by keywords users searched.
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Partial matches work (e.g., boots).
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Use Branded filter (below) to include/exclude brand terms globally.
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Click a row in Queries to auto-filter by that query.
Common recipes
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Find money keywords near the top:
Date: Last 28 days → Branded: Off → Queries → view = Popular → sort by Avg. position 6–10 → pick candidates for title/UX tweaks.
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Diagnose a mobile dip in the US:
Date: Last 14 days vs previous → Country: US → Device: Mobile → check CTR and Pages → Decaying to find what slipped.
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Assess a collection launch:
Date: Since launch → Page: /collections/new-arrival → switch Group by: Week → add annotation; track CTR & position trend.
Tips & best practices
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Reset quickly: Use Reset filters to clear all and return to the full view.
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Share context: Copy link to share a filtered view with teammates or clients.
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Start broad, then narrow: Begin with date/country/device, then add query/page.
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Branded first: Define branded terms early—your non-brand trends become much clearer.
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Use annotations: When filters explain a change (sale, title tests), add an annotation so the story is obvious later.
Troubleshooting
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Empty state / missing rows:
Check the date range, search type, and make sure the selected GSC property actually has data for those filters.
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Numbers differ from GSC UI:
Topify loads the full dataset (up to 50,000 rows/day) with your filters, while the GSC UI shows a sampled 1,000-row view. Totals can differ—Topify is more complete.
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Brand filter not working as expected:
Review Settings → Branded keywords. Add variations and misspellings; the filter uses “contains” logic.
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Slow table with very wide ranges:
Narrow the time window or apply a filter (country/device/page) to focus results; export for deeper offline analysis.
FAQ
Do filters affect exports?
Yes—exports reflect your current filters.
Can I save filter presets?
You can use share links today; named presets are on our roadmap.
Does Topics/Clusters change my raw data?
No. They’re overlay groupings you control; raw GSC data stays intact.