Analytics

Measurement that connects search visibility to revenue.

We set up and operate the analytics layer expert-led companies need: search console, server logs, attribution, lead quality signals, and dashboards that distinguish qualified pipeline from vanity metrics.

Start with a visibility diagnostic

Evidence, not theatre

For teams whose dashboards do not match their decisions.

  • 01You cannot tell which content brings qualified leads versus visits.
  • 02Your Search Console and CRM tell different stories.
  • 03AI and referral traffic are not separated from branded noise.
  • 04You have no honest view of which pages earn citations versus impressions.

Four connected layers

What we measure and how

1. Instrument

Server logs, Search Console, Bing Webmaster, schema validation, and CRM tagging aligned to actual buyer journeys — not just sessions.

2. Attribute

First-touch and assist views that show which pages and queries create qualified opportunities, not just clicks.

3. Visualize

A small set of dashboards your team actually uses: indexability, non-brand demand, AI referrals, lead quality, and Core Web Vitals regressions.

4. Operate

A monthly review cadence that turns dashboards into decisions: what to publish, what to fix, what to stop measuring.

Typical deliverables

An analytics layer you can defend in a board meeting.

  • Search Console + Bing Webmaster wiring
  • Server-log based crawl and index health
  • CRM-aligned lead quality tagging
  • AI and referral traffic separation
  • Dashboards with a small number of high-signal KPIs
  • Monthly review cadence with decision log

No dashboard theatre

Measurement should reduce meetings, not add them.

We do not deliver 40-tab spreadsheets. We deliver a tight set of signals that match the decisions the team actually makes, plus a cadence to keep them honest.

Questions

Analytics FAQ

Why do our dashboards not match our decisions?

Most analytics setups measure sessions, not buyer journeys. They blend branded and non-brand traffic, omit AI referrals, and tag leads without quality signals. The fix is a smaller, decision-aligned signal set.

Do you replace our existing tools?

No. We align Search Console, server logs, your CRM, and one visualization layer to a small set of KPIs. We keep what works and stop measuring what does not drive decisions.

Can you separate AI and referral traffic from branded noise?

Yes. We tag the referrer patterns of generative interfaces (ChatGPT, Perplexity, Gemini, Google AI Overviews) separately from branded search and direct traffic, and tie them to landing pages.

How do you measure lead quality?

We tag opportunities against your actual qualification criteria (deal size, fit, intent) so qualified rate is visible per source, not buried in a CRM report.

What does the monthly review cadence look like?

A monthly written review: what improved, what regressed, what to publish, what to fix, and what to stop measuring. Decisions are logged and reviewed next month.

Will you operate the analytics layer for us?

Yes, if useful. We can run the monthly review, propose changes, and ship instrumentation work. Your team can also take it in-house after the setup is stable.

Start with an Analytics Diagnostic.

We will identify which signals are missing, which are misleading, and where to invest first.

Start with a visibility diagnostic

References

Public sources this page draws from

  1. Google Search Central — Structured Data General Guidelines
  2. Schema.org — Organization, Service, Article
  3. HTTP Archive — Web Almanac: SEO chapter
  4. web.dev — Core Web Vitals
  5. Google Search Central — AI Overviews and your website