How It Works About Knowledge Base
Categories
Measurement Truth Attribution & Its Failures Capital Efficiency & CAC Budget Allocation & Waste Brand × Performance
Articles
Why Your Attribution Model Is Lying to You What is Incrementality in Marketing? Why Your Customer Acquisition Cost Is Probably Wrong Brand vs Performance Is a False Choice
FAQ Identify Hidden Waste

Marketing Measurement Systems That Reveal True Contribution Beyond Platform Attribution

Your marketing data is quietly misleading your company's growth trajectory

The problem: up to 40% of digital marketing spend is misallocated because platform reporting captures only a partial view of the customer journey (due to privacy constraints and fragmented, multi-touch behavior).

The solution: we build proprietary measurement models and controlled experiments that reveal what actually drives results so you can invest based on real contribution, not platform-reported performance.

Identify Hidden Waste → See how it works
Built on experience across AB InBev · Whirlpool · Philips · Labatt · Sailun Tire · VoIP.ms
The opinion that drives everything we do

Brand vs. performance is a false dichotomy. And it's one of the most expensive mistakes SaaS companies make.

Strong brands lower CAC, improve conversion efficiency, and make every paid dollar work harder. Honest performance measurement reveals which brand investments truly compound and which are just noise.

Read the full argument →

The real problem isn't your budget.
It's why SaaS attribution models overstate marketing performance.

Platforms are engineered to claim credit for every conversion they touch, even the ones they didn't cause. This creates "tagging wars" where every channel claims the same lead, forcing you to hand your budget over to the machines.

This leads to the Efficiency Spiral: optimizing for easy-to-measure clicks while starving the brand investments that actually lower long-term CAC.

We build the analytical infrastructure to see through the noise and fund the assets that actually drive ARR.

Our work starts by understanding your business in detail
01
Growth Architecture Review

We audit your entire go-to-market system to identify the 10-40% of "invisible waste" platforms are quietly claiming as success. We find where the model creates perverse incentives.

02
Scientific Measurement

We replace standard attribution with honest control-group testing to isolate true incremental revenue. No black boxes—just a model that connects brand investment to performance outcomes.

03
Capital Reallocation

We stop the efficiency spiral by reinvesting reclaimed waste into the channels and assets that compound. We train your team to run the system so your marketing finally speaks "CFO."

Legacy attribution playbook vs.
Scientific Growth Architecture.

How most B2B companies still operate
✕First/last touch attribution — creates tagging wars and gives all credit to one channel
✕Leads as the primary metric — teams gate everything and optimize for volume over quality
✕Brand and performance budgets managed in silos by different teams with different dashboards
✕Budget goes to channels easiest to measure, not the ones that drive the most growth
✕Pricing, funnel, and go-to-market never re-evaluated after initial launch
Result
You keep feeding platforms and running a playbook designed for on-prem software. Growth is expensive and hard to explain to a board.
What Growth Architecture delivers
✓Multi-touch measurement + control groups — understand how channels actually work together
✓Revenue-connected metrics — CAC, payback period, pipeline contribution, NPS
✓One model that shows how brand and performance compound together
✓Allocation weighted by estimated impact, validated with control groups
✓Full growth architecture review — including conversion friction and pricing leverage
Result
Capital-efficient growth. Every allocation has a model behind it. Marketing speaks CFO. You know what to cut, fix, and scale — and you can prove it.
How we actually measure

Don't trust attribution models.
Test with control groups.

Perfect attribution doesn't exist. We don't pretend it does. Instead, we design controlled experiments that show you what's actually driving results — the same methodology used by the most capital-efficient companies in the world.

No black boxes. No dashboards that lie politely. Just honest measurement you can defend in any room.

How it works in practice
1 Run a campaign in 3 target markets. Keep 3 similar markets as the control — no campaign exposure.
2 Measure the difference: pipeline, leads, branded search, conversion rates, deal velocity.
3 Isolate the true incremental impact — what the campaign caused vs. what would've happened anyway.
4 Apply findings to reallocation decisions. Scale what works. Cut what doesn't. No guessing.
Engagements
Growth Architecture Review

The entry point. We audit your brand, channels, metrics, and data — and deliver the picture your current analytics can't show you.

  • Brand and messaging assessment
  • Channel mix and spend allocation audit
  • Metrics diagnostic — what's driving the right and wrong behavior
  • GA4 + ad platforms + CRM data audit
  • Attribution gap analysis with control group recommendations
  • Priority findings: what to cut, fix, scale, and test
Book a conversation →
Performance Model

The flagship. We build the measurement system that connects brand to performance — with the allocation model to run it.

  • Growth Architecture Review included
  • Channel contribution and attribution framework
  • Control group design for ongoing testing
  • CAC and payback period by source
  • Budget reallocation recommendations
  • CFO-grade reporting framework
  • Team training and full documentation
Book a conversation →
Fractional Advisory

Ongoing intelligence and decision support as your model matures and your data gets richer.

  • Monthly marketing P&L refresh
  • Control group analysis on active campaigns
  • Budget allocation recommendations
  • One strategic decision session per month
  • Quarterly deep-dive and model recalibration
Book a conversation →
The path to here

18 years from econometrics
to global strategy.
Engineering high-fidelity growth.

My career is built on applying econometric demand modeling to billion-dollar portfolios. I specialize in building the analytical frameworks required to turn massive datasets into defensible budget decisions for companies like AB InBev, Whirlpool, and Philips.

2008–10
Econometric Consultant — LCA Consultores
Built demand forecasting, pricing elasticity, and market sizing models for Ambev, Whirlpool, and Philips.
2011–13
FP&A & Commercial Strategy — Hypermarcas
Managed P&L for a USD $300M consumer goods portfolio. Financial models connecting commercial strategy to margin and revenue.
2013–15
Full-Time MBA — Schulich School of Business
AB InBev/Ambev Global MBA Summer Internship. Strategic marketing project with direct C-suite exposure.
2015–17
Sales Intelligence — Labatt / AB InBev Canada
Financial ROI frameworks for marketing investment across national brand portfolio. Led GTM analysis for Budweiser Non-Alcoholic launch.
2017–21
Marketing Intelligence — Sailun Tire Americas
Built the marketing intelligence function for North America from scratch. Segmentation models, pricing frameworks, demand forecasting.
2021–25
Director of Marketing — VoIP.ms (B2B SaaS)
Built the entire marketing function from scratch at a bootstrapped cloud platform serving 95,000+ customers globally.
8×
Qualified lead growth
Built from zero
+50%
Lead-to-customer conversion
From 30% to 45%
Flat
CAC while volume scaled 8×
Data-driven budget allocation
We trust Zaitz Marketing

Meet Daniel Zaitz, founder.

Daniel started his career as an econometric consultant in São Paulo, building demand forecasting and pricing models for companies like Ambev, Whirlpool, and Philips. That analytical foundation shaped everything that came after.

He went on to manage a USD $300M consumer goods P&L at Hypermarcas, build financial ROI frameworks for AB InBev's national brand portfolio at Labatt Canada, and create the marketing intelligence function from scratch at Sailun Tire Americas.

At VoIP.ms — a bootstrapped B2B SaaS platform serving 95,000+ customers — Daniel built the entire marketing operation from zero, growing qualified leads 8×, improving conversion from 30% to 45%, and keeping CAC flat while volume scaled.

He holds a BSc in Economics from FEA-USP (Universidade de São Paulo) and a Full-Time MBA from Schulich School of Business, with an AB InBev Global Summer Internship in his portfolio.

Daniel founded Zaitz Marketing to solve the problem he saw at every company he worked with: marketing teams making million-dollar allocation decisions on data they don't trust. He builds the analytical infrastructure that changes that.

Who this is for

For marketing leaders tired of defending their budget with metrics they don't trust.

You're running a real marketing operation but you can't confidently explain what each dollar is doing. You're not looking for more dashboards. You're looking for the analytical infrastructure that makes every decision defensible.

This is for you if
  • ✓ SaaS or tech, $1M–$30M ARR
  • ✓ $300K–$5M/year in digital marketing spend
  • ✓ Running the old playbook — leads, MQLs, first-touch — and feeling the limits
  • ✓ CFO or board asking hard ROI questions you can't confidently answer
  • ✓ Ready to measure what matters and stop funding what doesn't
This is not for you if
  • ✕ You need creative or brand design work
  • ✕ You want someone to manage your marketing team
  • ✕ You're looking for false certainty — we build honest models, not dashboards that lie politely
Common questions
How is this different from a marketing analytics agency? +
Analytics agencies set up tools and dashboards. We build the decision-making framework that tells you where to put your money — and design the control groups to test whether it's working. The output isn't a report. It's an allocation recommendation you can act on.
What data do we need to have ready? +
At minimum: 12 months of GA4, access to your primary ad platforms, and CRM data with source tracking. Imperfect data is the norm. Part of the Growth Architecture Review is mapping what's measured, what's missing, and what's misleading.
What if our attribution data is messy? +
It almost certainly is. That's why we start with a review, not a model. We diagnose the measurement infrastructure first — what's trustworthy, what's lying, and what's invisible — before building anything on top of it.
Don't you need perfect data to build a reliable model? +
No — and anyone who tells you they have perfect attribution is selling something. We build models with honest confidence levels. Some channels we can measure precisely. Others we estimate. The model makes the uncertainty visible instead of hiding it.
What does "Growth Architecture" mean in practice? +
It's the strategic and analytical layer that sits between brand and performance — the one most companies skip. Before we optimize anything, we assess: are your metrics driving the right behavior? Is your attribution reflecting how buyers actually decide? Is your channel mix aligned with where growth comes from? That's the architecture. Everything else is built on it.
How is this different from a fractional CMO? +
A fractional CMO manages your marketing function. We build the measurement and allocation intelligence that any CMO — fractional or full-time — needs to make defensible decisions. We're the analytical infrastructure, not the management layer.
Do you replace our existing tools? +
No. We work with what you have — GA4, HubSpot, Salesforce, ad platforms. We build the analytical layer that connects them and makes the output useful for actual allocation decisions.
Ready when you are

Stop defending numbers
you don't trust.

Start making budget decisions you can defend in any boardroom.

Identify Hidden Waste →