#websiteanalytics — Public Fediverse posts on home.social

Minsyhu @[email protected] · 2026-02-07 · 09:20 UTC

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#SyngHub #HubSpotMarketplace #WebsitePerformance
#UXOptimization #WebsiteAnalytics #ConversionOptimization

#synghub #hubspotmarketplace #websiteperformance #uxoptimization #websiteanalytics #conversionoptimization

Keith Bradnam 📈 @[email protected] · 2026-02-01 · 10:28 UTC

I set myself a goal this year of writing at least one blog post a month and I’ve managed to bookend January with a post on both the first and last day of the month.

My latest post focuses on deciphering website analytics and this is probably something that I’m going to write more about going forwards.

Yesterday’s post looks at why I find it increasingly challenging to make sense of website analytics data:

https://www.keithbradnam.com/blog/2026/1/31/why-dark-social-and-ai-traffic-makes-it-harder-than-ever-to-make-sense-of-website-analytics

#analytics #GoogleAnalytics #WebsiteAnalytics #DarkSocial #AI

#analytics #googleanalytics #websiteanalytics #darksocial #ai

Keith Bradnam 📈 @[email protected] · 2026-01-11 · 21:38 UTC

You may all be aware of the thought experiment: ‘If a tree falls in a wood, and no-one is around to hear it, does it make a sound?’

In the world of website analytics, I often think about the following (somewhat clumsy) analogy to this:

‘If a webpage gets published on a website, and no-one ever views it, does it still exist?’

The point being that large academic websites can contain thouands of pages, and there are often many requests to *publish* content…but not always the same clamour to *promote* content (either from other pages on the same website or through external channels such as email and social media).

Sometimes content is also created that is not properly annotated in a way that makes it discoverable by search engines (which can include your website’s own search tool).

Website analytics platforms will tell you when a page has had a ‘hit’. They do *not* tell tell you when a page has had zero hits. To find this out you have to a) make a list of all web pages and b) cross-reference that against data from your website analytics platform.

There are web pages out there which no-one knows about because no-one ever views them, and so they don’t get logged in the analytics. Maybe they are lurking there, flying low under the radar, waiting for the day where they will be rediscovered. Or maybe they have ceased to exist.

Love your website content.
Care for your website content.
It is waiting to be noticed.

#websiteanalytics #analytics #website

Hacker News @[email protected] · 2025-11-30 · 11:58 UTC

Real-time system that tracks how news spreads across 200k websites

https://yandori.io/news-flow/

#HackerNews #RealTimeNews #NewsTracking #WebsiteAnalytics #InformationSpread

#hackernews #realtimenews #newstracking #websiteanalytics #informationspread

Michael Martinez :verified: @[email protected] · 2023-03-21 · 15:54 UTC

New article published on SEO Theory today: "An Introduction to Website Oscillation Theory"

Oscillation is a regular movement (back and forth, up and down, etc.) in a pattern or wave function.

You’re most likely to see oscillation in your seasonal traffic spikes and dips. If you can predict about how much traffic a site will get based on the time of year then it’s probably oscillating. That’s neither good nor bad. It’s just a property of the data.

If you can look at historical traffic data (from any source, a group of sources, or all sources) and confirm there is oscillation over 2-3 years then any sudden break from the oscillation suggests something changed. It could be:

1. An external news event changed traffic
2. The site changed
3. A competitive site changed
4. Searchers changed their behavior

If these four points look familiar, it’s because I used to mention them a lot. I call them “the Four SEO Influences”. You can also call them “breaks in oscillation”.

#seo #websiteanalytics #dataanalysis

https://www.seo-theory.com/an-introduction-to-website-oscillation-theory/

#seo #websiteanalytics #dataanalysis