Every week your traffic stays down costs you leads, revenue and rankings that get harder to recover. Connect your Google Analytics and get the exact diagnosis — root causes identified, affected pages ranked by loss, and a recovery plan delivered to your inbox.

A 30% traffic drop left unchecked for 4 weeks can cost a mid-size site $5,000-$20,000 in lost revenue — and every day without a diagnosis makes recovery harder as competitors fill the gap. The Traffic Drop Diagnoser connects to your Google Analytics, cross-references 90 days of data with algorithm update timelines and on-page changes, and delivers a data-backed diagnosis: the exact channels affected, the pages hit hardest, and a prioritized recovery plan so you stop guessing and start fixing.
Your URL runs through 5 AI stages. Each one handles a specific part of the analysis.
Pulls 90 days of traffic data: pageviews, sessions, sources and top pages from Google Analytics.
Identifies significant drops week-over-week and month-over-month across channels and pages.
Scrapes the top 5 affected pages to detect content changes, meta tag issues and structural problems.
Correlates traffic patterns with page changes, algorithm updates and seasonal trends.
Generates a prioritized action plan with timeline estimates and expected impact.
Pulls 90 days of traffic data: pageviews, sessions, sources and top pages from Google Analytics.
Identifies significant drops week-over-week and month-over-month across channels and pages.
Scrapes the top 5 affected pages to detect content changes, meta tag issues and structural problems.
Correlates traffic patterns with page changes, algorithm updates and seasonal trends.
Generates a prioritized action plan with timeline estimates and expected impact.
Daily traffic plotted across 90 days with drop points annotated and quantified.
Organic, paid, referral and social traffic analyzed separately to isolate the affected channel.
The 10 pages that lost the most traffic ranked by absolute session loss.
Drop timing cross-referenced with known Google algorithm updates.
Scraped pages compared against cached versions to find unintended changes.
Step-by-step recovery plan with effort estimates and expected traffic impact per action.
Your site gets less than 1,000 monthly sessions (not enough data for pattern detection), you run a single-page site with no subpages to analyze, or you have less than 30 days of Google Analytics data connected.
This tool runs a 5-stage AI pipeline that costs us real compute per diagnosis. It is free while we refine the accuracy of the root cause engine. Once we hit our accuracy target, it moves to a paid plan.
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