Category

Analytics and measurement basics

Measure decisions, not vanity fog.

Start by naming the job-to-be-done, the owner, the first visible output and the maintenance routine. A tool is only useful when it makes a specific decision or workflow easier.

Check switching cost before enthusiasm takes over: exports, renewal terms, admin access, integrations, data ownership and who can keep the setup clean after month one.

The common failure is buying for identity. A serious stack is not a personality costume. It should reduce friction, protect assets and make the next action obvious.

Best first step: write the acceptance criteria in plain language before comparing providers. If the criteria cannot be written, the purchase is probably premature.

Decision criteria

  • Use-case clarity
  • Owner and maintenance model
  • Data portability
  • Pricing and renewal transparency
  • Operational risk reduction

Common mistakes

  • Buying before workflow exists
  • Comparing only headline features
  • Ignoring exit cost
  • Treating affiliate ranking as neutral truth

Relevant providers

Privacy-friendly analytics

Plausible

Analytics candidate for simple privacy-aware measurement without turning reporting into theatre.

Privacy-friendly analytics

Fathom Analytics

Analytics candidate for clean traffic measurement with minimal dashboard noise.

Behaviour analytics

Hotjar

Behaviour-insight candidate for heatmaps, session patterns and qualitative site feedback.

SEO platform

Semrush

SEO platform candidate for broader keyword, competitive, site-audit and content research workflows.

SEO platform

Ahrefs

SEO platform candidate for backlink research, content opportunities and search-visibility analysis.

Related guides

Guide

LinkedIn as proof layer

A named LinkedIn presence can make a new site look less disposable, but it must point to useful work rather than motivational fog.