Why We Need to Understand Data & SEO in 2024
summary
Analytics often records a huge 45% direct black hole that actually hides referrals from apps, Discover and Gemini; a tiny bookmarklet JavaScript referrer fixes some missing referrer strings. Examples include bringing Google My Business into Looker Studio via Mirador + Looker Studio, discovering 153,000 indexed pages but 14.2 million not crawled, cookie dialogs listing 399 vendors and pages shrinking from 9MB to 6MB when cookies are rejected. GA4, gclid loss, server logs and simple dashboards are shown as practical fixes, not theory.
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chapters (35)
- 0:00Introduction
- 1:06Search results 2024
- 2:52Direct traffic problem
- 4:43Missing GMB data
- 5:45Social media in search
- 6:47Google Discover & AI
- 7:49Data beyond Analytics
- 8:53Right metrics for reports
- 10:18User journeys today
- 11:20Vanity metrics pitfalls
- 13:05Stock vs conversions
- 14:08Survivor bias
- 15:12Rethinking bounce rate
- 16:35Segmenting metrics
- 17:36Content & brand value
- 18:40Paid vs SEO conversions
- 19:22Ranking odd terms
- 20:04Northstar metrics
- 21:07Technical SEO issues
- 22:10Fixing non-indexed pages
- 23:14Hreflang errors
- 24:17Transactions & revenue
- 25:20Client dashboard design
- 26:42Privacy, cookies, and user experience
- 29:51Page speed insights
- 30:11Tailored reports
- 32:00Q&A
- 33:25Q&A: Direct traffic logs
- 34:50Q&A: Awareness metrics
- 36:14Q&A: News & traffic
- 36:35Q&A: Indexing delays
- 37:40Q&A: SEO & AI future
- 39:47Q&A: AI content risks
- 40:29Q&A: Multi-platform data
- 41:10Closing remarks and further discussion
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