Understanding Analytics Tools for Your Data Needs
Get insights into various analytics tools, including web and product analytics, to effectively understand your data and metrics.
What is this page about?
An explainer of analytics tools organized into seven categories (web, product, business intelligence, marketing, customer, social, and email analytics), aimed at making sense of an overwhelming data stack. It weighs Google Analytics against privacy-focused alternatives, distinguishes actionable metrics from misleading vanity metrics, gives a week-by-week setup sequence (tracking, conversions, events, UTM tagging), a sustainable weekly-and-monthly analysis routine, and catalogs the most common structural, behavioral, technical, and strategic analytics mistakes.
What has been corrected on this page?
Every accepted correction to this page is recorded with the exact change, so readers can see how the page improved over time.
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2 corrections applied: Pop-Tart/hurricane insight is tied to CIO Linda Dillman c.2004, not a 'Cynthia Doong' at a 2014 NRF conference (unverified attribution) | Netflix's data platform was not publicly named 'Gigaspinner'; the name appears unverified
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Why: Body text already correctly attributes the Pop-Tart/hurricane insight to then-CIO Linda Dillman (not an unverified 'Cynthia Doong') and no longer names an unverified 'Gigaspinner' platform for Netflix. FAQ checked, no fabrication present. No changes needed.
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1 contributor has checked "Understanding Analytics Tools for Your Data Needs" on When Notes Fly. Each name below links to that person's public CitePep profile, where every contribution they have made is listed with the exact change they proposed.