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Data-Driven Content Strategy

Most content plans are a list of topics someone found interesting. This track replaces that with queries your site already ranks for, heading structures matched to how people actually phrase things, seasonality read correctly, and analytics you can trust enough to act on.

5 articles ~32 min total Ordered — each part builds on the last
After this track
  • Find the queries where a small change moves you from page two to page one
  • Structure headings around real query phrasing rather than invented keywords
  • Read Google Trends without mistaking normalisation for a traffic collapse
The reading path Reading order is the dependency order
  1. 1
    Striking Distance Keywords: Positions 4–20 Start here Queries ranking between positions 4 and 20 are already earning impressions. How to find them in Search Console and decide which are worth the work.
    7 min read
  2. 2
    Writing H2s That Match Search Intent Rewrite H2 and H3 headings to match real search intent: a GSC query-mapping workflow, the answer-first snippet pattern, and before/after heading examples.
    5 min read
  3. 3
    A Content Roadmap Built From Trends Data How to turn Google Trends data into a publishing plan: reading relative interest honestly, spotting seasonality, and choosing what not to write.
    7 min read
  4. 4
    Google Trends Seasonality Analysis Reading seasonality in Google Trends without over-reading it: relative indices, year-over-year shape, and how far ahead to publish.
    6 min read
  5. 5
    Fixing GA4 Event Timing and Consent Mode Missing GA4 conversions on a static site usually means one thing: events fire before consent resolves or after navigation starts. Both have exact fixes.
    7 min read
After this track