The best digital marketing data sources (2026)
The most reliable data sources for digital marketing: DataReportal, Statista, StatCounter, Mary Meeker, Pew, ITU, GWI and more.
Read the article →Practical, honest guides on organic search, AI engines and measurement. No hype.
The most reliable data sources for digital marketing: DataReportal, Statista, StatCounter, Mary Meeker, Pew, ITU, GWI and more.
Read the article →Translating your site isn't expanding.
Read the article →How to use Screaming Frog to generate embeddings and work with vectors: semantic similarity, content clusters, cannibalization and internal linking at scale.
Read the article →How to use Screaming Frog for GEO: audit citability, run LLM prompts at scale, validate structured data, check JS rendering and monitor AI bots in the Log File Analyser.
Read the article →GEO explained: what it is, why it matters in 2026 (with data) and the CITAR method - 5 steps to get your brand cited by ChatGPT, Perplexity, Gemini and AI Overviews.
Read the article →Practical steps to be cited as a source in ChatGPT and Perplexity: entity, Bing, citable content and how to verify.
Read the article →The February 2026 Google Discover core update prioritized local content, cut clickbait and shook non-US publishers' traffic.
Read the article →Run an on-page SEO audit in minutes with ChatGPT: a safe, complete prompt (title, canonical, hreflang, structured data, redirects) plus prioritized actions.
Read the article →A complete YouTube SEO guide: keyword and intent research, metadata, thumbnails and packaging, retention, chapters and playlists - to rank on search engine #2.
An honest framework for how much to invest in digital marketing: revenue benchmarks, stage and goals, the SEO-paid-content mix, and CAC vs LTV - not a magic percentage.
How to pick a North Star Metric and use the AARRR funnel (acquisition, activation, retention, referral, revenue) to focus growth on what actually compounds.
Quality Score demystified: the three components, why it lowers your cost per click, how to improve it, and the myths to ignore.
An honest guide to Performance Max: what it is, when it pays, the black-box and brand-cannibalization risks, and how to keep control with data, exclusions and asset groups.
How to build Looker Studio dashboards that drive decisions: connect GA4 and Search Console, design for the question, blend data, and avoid the clutter that kills adoption.
The GA4 setup that actually matters: key events, enhanced measurement, GTM, Consent Mode, internal-traffic exclusion and linking GSC and Ads.
How to structure a Google Ads account for control and Quality Score: campaigns by intent, tight ad groups, match types, negatives and naming.
How video SEO works now: ranking on YouTube and in Google video, why transcripts and key moments matter, and how AI uses video content.
What Google Discover is, how the feed picks content, and how to become eligible: large images, E-E-A-T, freshness and local relevance.