GA4 is a warehouse.
You need an analyst.
A live AI-powered dashboard with four intelligence systems. Built for marketing directors who are data-rich and insight-poor — know what changed, why it changed, and what to do next.
Demo by screen share only — no public dashboard links. Every demo uses live data.
The Interpretation Gap
You have the data.
You're missing the story.
Most marketing directors aren't making data-driven decisions — they're making gut decisions with data nearby. Here's why.
Minutes lost in GA4
The average marketing director spends 60–90 minutes per week inside GA4 — and comes out more confused than when they started. GA4 stores everything. It explains nothing.
Confident instincts, uncertain proof
You know your marketing is working. You just can't prove it fast enough to matter in a leadership meeting. The data is there — the interpretation isn't.
More spend, same uncertainty
When you can't read your data fast, you default to volume. More campaigns, more posts, more spend. Hope that something moves a number. That's noise with a budget, not strategy.
March 2026 Core Update — 89% probability. Broad core update favoring E-E-A-T signals deprioritized your /services/ cluster. 3 pages lost 40%+ impressions. Mechanism: thin expertise signals on commercial pages.
AI Overview Expansion — 67% probability. Brand queries now triggering AI Overviews in 34% of cases. Estimated CTR suppression: 12–18% of organic clicks. This is structural, not reversible with current content.
Branded search holding — positive signal. Direct brand searches up 8% WoW. Authority is intact. This is an attribution shift, not a brand health issue. Focus recovery on the affected cluster.
What You Get
Four AI systems.
Real-time view.
An intelligence layer, not just a dashboard. Every tab tells you what changed, why it changed, and exactly what to do next.
AI Analysis — Executive Brief
On-demand. Under 400 words. What the data says, what AI search is doing to your traffic, top 3 recommendations, and one metric to watch. The story, without the login archaeology.
Search Visibility Advisor
Scores every GSC query by opportunity — high, medium, low. Detects content gaps and keyword gaps. Returns 5 ranked tactical recommendations specific to your pages, word counts, schema types, and distribution channels.
Causal Attribution Intelligence
The flagship. Cross-references your performance data against real market events — algorithm updates, AI Overview expansions, demand shifts — and returns probability-ranked causal explanations. Includes a site health score (0–100) and a 30-day watch metric.
Channel Quality + AI Search Signal
Traffic quality by channel with engagement rates. Flags dark/unassigned traffic as an AI search signal. Shows Mobile vs Desktop CTR gap — a reliable indicator of AI Overview cannibalization on your branded queries.
Setup & Delivery
Up and running in
one week.
We connect your data
Secure read-only connection to your GA4 property and Google Search Console. No login sharing. No data stored beyond what's needed for analysis. Setup takes under an hour.
We configure your intelligence layer
We calibrate the analysis to your business model, conversion goals, and what "good" looks like for your specific marketing function. This is where practitioner judgment enters the system.
Your intelligence layer goes live
Your dashboard activates with all four AI systems running. Pull an Executive Brief on demand. Check the Search Visibility Advisor. Run Causal Attribution against the week's market events. The interpretation is already done — you just act on it.
Request a Private Demo
20 minutes.
No setup required.
I'll pull up your actual site data live on screen and show you what it's been trying to tell you. No slides. No pitch deck. Just your numbers, interpreted in real time.
Why This Exists
Built by a practitioner.
Validated in production.
This wasn't built to sell. It was built because I needed it.
The Origin
Built for my own marketing function
I built this because I was running a full marketing function without a data analyst — and GA4 wasn't giving me what I needed to make fast, confident decisions. I needed an interpretation layer, not more charts.
Enterprise Validation
Deployed at commercial scale
The same architecture was deployed at a multi-property commercial real estate firm and validated against real enterprise data — millions in managed assets, multiple properties, complex attribution. It held.
Now Available
Offered as a managed service
The methodology, the practitioner judgment, and the AI layer are now available to a small cohort of marketing directors and B2B leaders. You're not buying charts. You're buying an intelligence layer that already knows what the charts mean.
Common Questions
Before you reach out
What is Causal Attribution Intelligence and why does it matter?
Most analytics tools tell you what happened. Causal Attribution Intelligence tells you why. It cross-references your performance data against a live database of real market events — Google core updates, AI Overview expansions, algorithm changes, demand shifts — and returns probability-ranked explanations for what caused your traffic and ranking changes. Instead of guessing why organic dropped 15% last week, you get: "March 2026 Core Update Impact — 89% probability" with the specific mechanism, the affected pages, and what to do about it. That's the difference between data and intelligence.
What makes this different from a regular marketing dashboard?
A dashboard shows you data. Analytics Intelligence interprets it. Instead of logging into GA4 and spending an hour figuring out what the numbers mean, you receive a brief written by a practitioner who has run the same role — telling you what changed, why it matters, and what to do next. No new software to learn. No analyst to manage. Just the story your data is already telling, delivered ready to act on.
Is there a public demo I can access?
No — and this is intentional. The value is in the interpretation layer and the practitioner judgment baked into the analysis, not the interface. Demos are conducted via private screen share only, using live data. Request one and I'll walk you through exactly what it would look like for your property.
Who is this built for?
Marketing directors, VPs, and senior marketers at $5M–$50M revenue companies who are carrying a full marketing function — multiple channels, leadership reporting, budget accountability — without a data analyst on staff. If you have the data and lack the time or tooling to interpret it fast enough to act, this was built for you.
Do I need to share login credentials or give access to sensitive data?
No credential sharing is required. Access is established through Google's standard OAuth/service account process — read-only permissions only, scoped to the specific property. Your data is never stored beyond the analysis window and is never used for any other purpose.
What does "demo by application" mean?
I keep the initial cohort deliberately small because the nature of this service requires real engagement — not just a signup. Every new client starts with a private screen-share session where I walk you through what your data is currently telling you. That demo serves as the onboarding. Reach out via the button below and I'll respond personally within 48 hours.
Your data has been
talking.
Let's hear what it said.
One conversation. No commitment. I'll show you what your marketing data has been trying to tell you — using your actual numbers, live.
Request a Private Demo →20 minutes. Screen share only. No automated sequences.