About the project

Where statistics meets Google Ads & SEO

QuantumAdsLab exists to show how the laws of statistics actually apply to digital marketing, and to turn that into decisions you can use on a real account.

Most digital-marketing advice is opinion dressed as fact. I started QuantumAdsLab to do the opposite: to treat Google Ads and SEO as what they really are, systems governed by probability, sampling and statistical inference.

Every Google Ads account is, underneath the interface, a stream of random variables: impressions that may or may not convert, auctions won by margins, conversion rates estimated from samples that are almost always too small. The same is true of SEO, where rankings, click-through rates and traffic move with a noise that most people mistake for signal. The questions that matter are statistical questions, is this difference real or random? how much data is enough to trust a result? what is the system actually optimising?

That is the gap this site sets out to close. Not by quoting textbooks, but by applying statistical thinking to the concrete problems that come up while managing live campaigns: significance testing on A/B results, confidence intervals on conversion rates, how Smart Bidding's models infer value, why a "winning" change can be pure variance. The goal is to make the maths usable, to help you tell what's worth acting on from what's just noise.

The thesis: in paid search and SEO, the practitioners who win over time are the ones who understand the statistics underneath, not the ones with the most opinions.

What I write about

The work is organised into five areas. Each one is a different place where statistical reasoning changes the decision you'd otherwise make on instinct.

Campaigns

Search, Shopping, PMax, Display, YouTube and Demand Gen, managing each format with evidence rather than habit.

AI & Automation

How Smart Bidding and Google's machine-learning models actually decide, the probability engine behind the buttons.

Measure & Data

Attribution, conversions, tracking and applied statistics, significance, intervals, and sample size done right.

Creativity

AI images and video for ads, tested against what actually performs, measured instead of assumed.

Strategy

Audience, targeting and account structure, the thinking layer that turns data into a plan that holds up.

All topics

See the full map of areas and how they fit together.

The method

  • From real accounts, not theory

    Everything starts from a live campaign. If I haven't run it myself, I don't publish it. The statistics are applied to actual data, not toy examples.

  • Facts and inferences kept separate

    What's documented by Google and what I've inferred from testing are always labelled distinctly. You never have to guess which is which.

  • Significance before conclusions

    Before calling a result a "win", I ask whether it could be variance. Sample size, confidence and noise come first, opinions come last.

  • Sources linked, gaps admitted

    Claims point to their source. Where Google is silent or the data is thin, I say so plainly instead of filling the gap with confidence.

Who's behind it

None of this works as theory. The reason QuantumAdsLab can be written from real data is that running real accounts is what I do every day.

Nicolò Caiti

Nicolò Caiti

Google Ads practitioner · Applied AI, measurement & statistics

I'm Nicolò Caiti, the person writing and running QuantumAdsLab. I manage real Google Ads accounts every day, from small catalogs to feeds with tens of thousands of products, and I share here exactly what I learn solving the problems that actually come up. If it's on this site, it's because it worked for me first.

For the past 8 years I've worked hands-on with Google Ads and SEO, managing a lot of sector and treating every account as a place to test ideas rather than apply templates. That range, from compact catalogs to feeds with tens of thousands of SKUs, is where the statistical questions on this site come from: small samples, noisy signals, and decisions that have real budget behind them.

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See the method in practice

The mission only matters if the writing delivers. Start reading.

Read the blog