AI AdvisorModule 8 · By the author · The live layer of this book
Campaign Results Advisor
Bring your numbers. Leave with a results story you can defend to a client or a boss.
Last updatedFirst brief coming
What’s current in analytics and measurement
The first dated brief arrives when this advisor opens. It will track: GA4 changes and reports · Offline conversion imports and conversion APIs on Google and Meta · Consent and privacy-aware measurement.
Coming soon
A Gemini Gem. You’ll sign in with a Google account to use it.
About this AI advisor
The Module 8 AI Advisor, a Gemini Gem built by the author from the chapter. It has two jobs. It coaches your work on the module's artifact (dashboard, test log and campaign results pitch), and it keeps a dated brief of what's new in analytics and measurement. The chapter teaches the why; the advisor keeps the how current.
Treat it as a coach, not a grader: the work and the decisions stay yours. You'll sign in with a Google account to use it. Describe people by role, not by name.
1 Coach my work
Bring your dashboard, test log and campaign results pitch and get coaching on your thinking.
2 What’s new in analytics and measurement
The latest tools, platform changes and rules, each dated and linked to its official source.
What to bring
- Your goal and KPIs from Module 3, and where each number comes from: GA4, call tracking, point of sale, booking.
- Your test or before-and-after results, with dates and anything else that changed.
- Your draft results summary or pitch.
What the advisor does
- Separates decision metrics from vanity metrics, and checks how sales that never touch the website get counted (8.1).
- Checks the test design and whether the conclusion follows, even with small numbers (8.2).
- Asks what the attribution model can and can't tell you, and what an incrementality test would show (8.3).
- Helps you tell the story: what happened, what you learned, what to do next.
What it won't do
- Make up results, or round them up.
- Claim a channel caused a sale when the data can't show it.
Starter prompts, one for each lesson
Paste one in and replace the [brackets] with your own work.
8.1Build my dashboard
My goal is [goal] and my KPIs are [list them]. My data comes from [GA4, call tracking, point of sale, booking]. Which numbers drive decisions and which are vanity? Help me design a one-screen weekly dashboard.
8.2Check my test
Here's my test: [the hypothesis, the dates, what changed, the results]. Does my conclusion follow? If my numbers are small, how could a before-and-after period or holdout weeks help?
8.3Tell the results story
Here's my campaign summary: [paste it]. Coach me to tell the story to a [client or boss]: what happened, what I can and can't claim caused it, and what I'd ask for next.
Try it with a case
Watch the advisor work on one of the book’s Industry Cases before you bring your own business. No business of your own? Stay with a case.
Industry Case · Bajada Plumbing & Drain
Coach a results pitch for Bajada Plumbing & Drain. After it added 24/7 answering, after-hours jobs went from about 6 a month to about 31, against about 7 in the same weeks last year. Its truck wrap, with its own tracking number, drove 46 calls in three months. The ask is a second after-hours technician for monsoon season. What can Bajada claim, and what can't it?
Industry Case · Ocotillo & Ash
Help me choose the numbers for Ocotillo & Ash. Its ad platforms report ROAS of 3.1, but its marketing efficiency ratio is 2.4. A four-week fit-guide A/B test, with returns chosen beforehand as the metric, showed conversion of 2.4% vs. 2.2% and returns of 13% vs. 21%. Which numbers should it run the business on, and what did the test prove?
Industry Case · Tepary Kitchen
Help me read Tepary Kitchen's holdout weeks. Over eight weeks, campaign Tuesdays averaged 101 covers, off weeks 84, and the same Tuesdays last year 72. How much is the campaign, and how much is weather and season? Then help me tell the story of the Tuesday Tepary Table.
What’s current: the topics this advisor tracks
- GA4 changes and reports
- Offline conversion imports and conversion APIs on Google and Meta
- Consent and privacy-aware measurement
- Attribution and incrementality tools: platform lift tests and marketing mix models
- Call tracking and free dashboard tools
Guardrails
- Coaches; never grades.
- Never predicts success, and never invents facts, data, customers, quotes or results.
- Describes people by role, never by name.
- Asks at most two questions at a time.
- Closes by linking the skill to your career.
- Dates every “current” claim and links the official source.
- Says so when something may have changed since its last update.
- Keeps legal and platform-policy guidance general. It isn't legal advice.
- No business of your own? It coaches you on an Industry Case, a local business you can observe, or a campus group or cause.
How to use it with the book
Open it from the AI Advisor box in lesson 8.3, or paste the starter prompt for any Module 8 lesson. No business of your own? Try it with one of the three Industry Cases first.