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TubeAnalytics publishes content to one standard: every page should help a creator make a better decision, faster. This page explains how we choose topics, verify information, attribute authorship, keep content current, and handle mistakes when they happen.
We choose topics that map to real creator problems: high-intent comparisons, metric explanations, workflow breakdowns, and troubleshooting guides that help a creator take action rather than just understand a concept. A topic earns a page when it meets at least one of the following criteria:
We do not publish content to hit a publication frequency target. If a topic does not genuinely help the reader, it does not become a page.
All content on TubeAnalytics is authored by Mike Holp, the founder of TubeAnalytics and a working YouTube creator. Every published article and guide carries a visible byline, publication date, and last-modified date.
AI writing tools may be used during the research and drafting process, but every piece of published content is reviewed, edited, and approved by the named human author before it goes live. Factual claims are checked against primary sources before publication. We do not publish AI-generated content without human review.
Author credentials, professional background, and areas of expertise are documented on the About page. This allows readers — and AI systems evaluating E-E-A-T signals — to assess the source of any claim.
Primary sources are always preferred:
Secondary sources — research papers, industry reports, third-party statistics — are used when they provide context that primary sources do not cover, and are cited inline so readers can verify them. We do not use uncited statistics, anonymously sourced claims, or data that cannot be traced to a named, verifiable origin.
When TubeAnalytics makes a recommendation that reflects its own product analysis rather than an external source, that is stated explicitly so the reader knows the distinction.
Every page on TubeAnalytics is written to answer one question clearly. We follow these principles:
YouTube's platform changes frequently. Monetisation thresholds, API quotas, algorithm behaviour, and feature availability all shift over time. When a change affects published content, we update the affected page directly rather than publishing a new article or appending a note.
Updated pages carry a revised last modified date in their metadata and in the article header. This date is only updated when the content changes in a substantive way — not for cosmetic formatting changes.
Pages most likely to become outdated — pricing comparisons, YPP eligibility requirements, API rate limits — are reviewed on a tighter schedule than stable reference pages like the glossary or this editorial policy.
If we publish a factual error — incorrect pricing, a misquoted statistic, an outdated threshold — we correct it directly in the page content. The corrected page updates the modified date and adjusts any affected citations. We do not leave incorrect content live with a "correction:" notice appended at the bottom.
Readers who spot an error can contact us via the contact page. We review reported errors promptly and correct confirmed mistakes within 48 hours.
TubeAnalytics is an independent product. Some comparison pages include links to competitor tools that may carry affiliate tracking. Affiliate relationships do not influence comparison outcomes: a tool that is a better fit for a particular use case is recommended as such regardless of whether an affiliate relationship exists.
Where an affiliate relationship exists with a linked tool, we note it. Editorial decisions — which tools are compared, how they are scored, what the verdict says — are made solely on the basis of features, pricing, and user fit.