Ex-AB InBev / Ze DeliveryEx-InstaCarroUSP MBA

Half of your media budget is in the wrong channel.

You just do not know which half yet.

I use Marketing Mix Modeling and statistical analysis to show where each dollar of your media budget actually drives outcomes. No last-click. No guesswork.

0+

years in growth

BRL 0M+

media/month managed

-0%

CAC in LATAM project

0

countries operated

mmm_budget_optimizer.py

Current allocation (last-click)

Meta Ads

42%

14%

Google Ads

30%

5%

TikTok

18%

10%

Programática

7%

8%

Orgânico (halo)

3%

11%

+18% efficiency with the same budget ->

Illustrative example

What is slowing your growth down

Your conversion data is inaccurate

GA4 says one thing, CRM says another, and finance does not match either. You are making budget decisions with data that does not reflect what is really happening.

You do not know which channels truly work

You allocate budget across Meta, Google, and TikTok based on last-click or intuition. Channels that truly convert are underfunded while weak channels keep receiving budget.

Growth slowed down and you do not know why

CAC is rising, payback is getting worse, and tests are not compounding learning. Without a structured growth framework, each cycle starts from zero.

SERVICES

Diagnosis, strategy, and execution

Services organized by your journey: understand the problem, solve it with rigor, and sustain outcomes.

Entry point

Performance & Attribution Audit

Comprehensive analysis of why paid media performance is not scaling. I audit tracking, attribution, funnel, and unit economics to identify where budget is leaking.

  • GA4 + GTM + Meta Pixel + BigQuery audit
  • Unit economics analysis (CAC, LTV, payback)
  • Failure map report with remediation plan

For teams that know something is off but are not sure exactly what

Core offer

Core offer

Marketing Mix Modeling

Full statistical model (PyMC-Marketing) built on your historical data. Measures true incremental impact per channel without cookies or last-click dependence.

  • MMM model with weekly data (2+ years)
  • Adstock, saturation, and response curves by channel
  • Results dashboard + reallocation recommendations

For teams managing BRL 300K+/month that need defensible budget decisions

Ongoing

Growth Advisory

Recurring strategic support: performance reviews, budget decision support, model recalibration, and mentoring for your internal team.

  • 4 monthly sessions (strategy + performance analysis)
  • Monthly MMM recalibration (when applicable)
  • Async support for budget and channel decisions

For teams with execution capacity that need ongoing strategic seniority

3-month minimum

Talk about advisory
PROCESS

From diagnosis to outcomes

A structured ~8 week process that turns broken data into rigorous budget decisions.

Typical flow for a Marketing Mix Modeling project. Other services have specific timelines - I align them in the meeting.

Timeline do projeto

~8 weeks + ongoing

2sem

4sem

1sem

1sem

01
02
03
04
Schedule a meeting

30 minutes to understand your context and evaluate next steps.

Real outcomes

Vehicle Marketplace

B2C/B2B Marketplace · Sao Paulo

GA4 reported 90% of conversions in under 4 minutes, impossible for a high-ticket product with a multi-week buying cycle. The team was o...

Complete GTM audit, duplicate event cleanup and attribution funnel rebuild. MMM model developed with 4 years of weekly data across 6 ch...

Budget reallocation delivered a 10-20% efficiency gain with the same investment.

Managed budget

BRL 500K/month

Channels analyzed

6 channels

Historical data

4+ years

Projected ROI

+10-20%

D2C Delivery Platform

Super App · Brazil + Mexico

Fast expansion in two countries with BRL 1M+/month budget, rising CAC and low confidence in which channels were driving net-new acquisi...

Implemented a multi-touch attribution framework, cross-channel creative strategy and activation funnel optimization.

50% CAC reduction over 2 years while preserving growth volume.

Managed budget

BRL 1M+/month

CAC reduction

-50%

Period

2 years

Markets

Brazil + Mexico

Online Donation Platform

Social Fintech · Brazil

Marketing operations were unstructured, without clear ROI metrics, and decisions were feeling-based. The team was overloaded and lacked...

Implemented agile marketing routines, OKRs, experimentation frameworks and performance dashboards.

80% revenue growth with a more sustainable operating model.

Revenue growth

+80%

Methodology

Agile Marketing

Team structure

About

Rafael Kopko

Growth Marketing Consultant

Over 10 years building growth for startups across Latin America. I have managed BRL 1M+/month in paid media, reduced CAC by 50%, scaled operations in Brazil and Mexico, and learned that most performance issues are not creative or audience problems. They are data and attribution problems. Today I help CMOs and Heads of Growth understand where budget truly drives outcomes using Marketing Mix Modeling and rigorous statistical analysis. No guesswork, no last-click, no misleading dashboards.

MBA in Marketing Management · USP

Marketing Mix Modeling specialist (PyMC-Marketing)

Python and SQL for marketing analytics and automation

Experience across Brazil, Mexico, Chile and Spain

InstaCarro

Growth Marketing Manager

AB InBev / Ze Delivery

Growth Manager

Bluma

Growth Manager

Vakinha

Growth Manager

10+

years in growth marketing

BRL 1M+

managed media budget/month

-50%

CAC reduction in LATAM project

4

countries operated

Let me evaluate whether working together makes sense

Share your context and I will reply within 24h with an assessment and next steps.