SEO Analytics

Search data has answers. Most reports miss them.

This site covers how to read SEO data with precision — what the numbers mean, where they mislead, and how to make decisions that hold up over time.

Read the blog

Not written for beginners, but not hostile to them either

The content assumes you have spent some time with Google Search Console or a rank tracker. You know what organic traffic is. You have probably run a few experiments and found the results confusing.

If you are three months into SEO, some articles will stretch you. That is intentional — the goal is to give you a clearer picture of what good analysis actually looks like, not just confirm what you already know.

Practising SEO professionally

You manage sites, report to clients or leadership, and need sharper frameworks for interpreting data under pressure.

In-house marketers with data access

You have dashboards but struggle to connect search metrics to decisions that actually move the needle.

Technical people curious about search

Developers and analysts who want to understand why rankings behave the way they do at a structural level.


A new piece appears when there is something precise to say

Cadence

Articles appear roughly twice a month. Frequency is deliberately modest — each piece takes time to develop from observation to something worth publishing.

Topic selection

A topic earns its place when a common interpretation of the data turns out to be wrong, or when a measurement problem keeps surfacing with no clear answer elsewhere.

SEO analytics workflow and data review process

Reference sources and data tools used in SEO research

Sources and references

What backs the analysis

Claims on this site trace back to documented sources — Google's own documentation, publicly available case data, and platform-level disclosures where they exist.

Where something is an interpretation rather than a confirmed fact, it is labelled as such. There is enough speculation in SEO already.

Google Search Console and Looker Studio data exports
Verified algorithm update documentation and Google Search Central resources
Industry research from Ahrefs, Semrush, and Moz where methodology is disclosed
Direct testing across monitored site clusters, started in 2021

A suggested route for your first visit

Three steps that get you oriented quickly without reading everything at once.

01

Read the About page

Understand the perspective behind the analysis before you read the analysis itself. It takes three minutes.

02

Browse the blog index

Scan headlines for a topic you are currently dealing with. Start there, not at the beginning of the archive.

03

Sign up for updates

New articles do not follow a fixed schedule. The email list is the most reliable way to know when something new appears.


Stay connected

Reading once is fine. Reading regularly is where the value compounds.

SEO data changes meaning as search behaviour shifts. An article from six months ago might read differently once you have seen the same pattern in your own data.

The email list sends one notification per article — no digests, no roundups, no promotions. Just a link when something new is published.

You can also follow along through the blog index directly, which stays current without any subscription required.

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