Content SEO Analytics: Diagnosing Performance Beyond Traffic Numbers

Content SEO Analytics: Diagnosing Performance Beyond Traffic Numbers

Duration 6 weeks, one session per week
Seats left 9
CAD 610 Includes six live sessions, recordings, audit worksheet templates, and certificate of completion.
Registration is open — limited availability
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About this program

Page traffic went down. Was it a ranking drop, a seasonality shift, a SERP feature stealing clicks, or something in the content itself? Answering that correctly changes everything about what you do next, and most diagnostic processes skip steps that would make the answer clearer.

The diagnostic framework at the centre of this course

Over six weeks, you will build a repeatable process for diagnosing content performance changes using Search Console query data, rank tracking tools, SERP feature analysis, and engagement metrics from GA4. Each week focuses on one layer of that diagnosis, and participants work through examples from real content audits conducted with permission from participating site owners.

There is substantial focus on the update-vs-consolidate decision because it is where a lot of effort gets misdirected. Rewriting a page that actually needs to be merged with another page does not help organic performance. The course covers how to identify which situation you are in before committing editorial time.

Format and instructor

Sessions run weekly on Wednesday evenings, 6:30 PM ET, and each is about 75 minutes. Instructor Nadège Kowalczyk has spent six years focused specifically on content performance analysis for media and SaaS clients, and the case material she brings to each session is detailed and specific rather than illustrative and generic.

Previous SEO experience recommended. This course assumes familiarity with Search Console and basic GA4 navigation.

Program structure

Six-Week Program

  • Week 1: Query data segmentation — navigational, informational, and mixed-intent signals
  • Week 2: SERP feature mapping — featured snippets, PAA, and click-through impact
  • Week 3: Engagement metrics as content quality signals — time, scroll, and return visits
  • Week 4: Algorithm update timeline correlation and how to avoid false attribution
  • Week 5: The update-vs-consolidate decision framework with live audit examples
  • Week 6: Building a content health monitoring system for ongoing use
Prerequisites

Participants should have at least one year of hands-on SEO or content marketing experience and working access to Google Search Console. GA4 familiarity is helpful but not required for admission.