Semantic SEO Case Study : sneak-officialstore.com
E-commerce · Footwear · GSC data
Search Console benchmarks synced with Topical OS.Real Google Search Console metrics from stored snapshots, updated daily when sync runs.
Last 90 days vs previous 90 days
Compares the most recent 90 day rows in our database to the 90 day rows before that. Higher clicks and impressions and lower position are “good”.
12 months : numbers + trend in each card
CTR line is daily CTR as a percent (not 0–1). Position is the daily average rank in Google (lower = better). The colored line under the headline is last 90d vs previous 90d when we have 180+ days; the chart is the full daily series in the window above.
GSC sync snapshot (first validation)
First validation may use capped Search Console exports. Live charts use the daily date series from GSC after sync, not a single export row limit.
The challenge
Ecommerce sites spike on launches; short windows can overstate or understate QoQ moves.
Product URL churn can fragment page-level history unless templates stay stable.
No revenue or cart data in Search Console : only search clicks and impressions.
What Topical OS did
Linked sneak-officialstore.com to the public case-study GSC pipeline.
Stored daily aggregates for impressions, clicks, CTR, and average position.
Built top-pages views from Search Analytics page dimension snapshots.
Key results
QoQ tiles summarize last 90d vs prior 90d from stored daily rows.
Twelve-month mini-charts reflect the same daily table.
Per-URL 90d metrics appear when page-window sync completes.
Top pages (latest day in data: 2026-05-02)
Whole site, last 90d vs previous 90d (same window as the chart section): clicks +31.4%, impressions +18.0%, CTR +11.3%, avg. position −0.25 pts (lower is better)
Per-URL 90-day totals come from Search Console (dimension page) for the same last-90 / previous-90 date ranges as the table above, and are saved on each case-study GSC sync. We don’t have 90-day per-page GSC data stored for this site’s current window yet—run a case-study backfill or the daily case-study job to populate the database.
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