Know Which Channels Actually Drive Revenue
Cookie-free, privacy-safe measurement that reveals the true causal impact of every marketing euro — built by a Google Premier Partner agency.
The measurement problems costing you budget
If any of these keep you up at night, marketing mix modeling is your answer.
GA4 doesn’t match ad platforms
Meta says one thing, Google says another, and GA4 tells a different story. You end up making decisions on conflicting data.
Cookies are disappearing
Attribution gaps widen as privacy rules tighten. MMM stays robust without relying on user-level tracking.
Can’t prove incrementality
Your CFO asks “what happens if we cut this channel?” and you don’t have a confident, causal answer.
Stop relying on broken attribution
Traditional measurement only tells part of the story. Our models reveal the full picture.
✕ Traditional attribution
- ✕ Clicks only — misses brand impact
- ✕ Paid traffic only — ignores organic lift
- ✕ Black box algorithms you can’t audit
- ✕ Generic templates, not your business
- ✕ Breaks with cookie deprecation
✓ ePPC’s MMM approach
- ✓ Measures true causal impact of each channel
- ✓ Captures delayed effects days & weeks later
- ✓ Transparent logic you can understand
- ✓ Custom-fit to your business goals
- ✓ Privacy-safe, no cookies needed
Understand the real impact of your ad spend
Most tools assume more spend = more results. We measure the true marginal impact of your ads — how much extra revenue you get for each extra euro.
- ✓ Separate the effect of ads from seasonality, discounts, PR, and other factors
- ✓ Account for lingering effects days or weeks after exposure
- ✓ Model diminishing returns so you know where spend starts doing less
Find what channel is driving your revenue
Revenue comes from everything happening in and around your business. We break it down clearly.
- ✓ See how much each channel actually contributes
- ✓ Separate ad impact from seasonality, promotions, and demand shifts
- ✓ Track what’s moving the needle month by month
Assess the risk before you spend
Budget decisions come with uncertainty. We run simulations to forecast your most probable, worst-case, and best-case outcomes based on your data and channel behaviour.
- ✓ Spot the risk of overspending when returns flatten
- ✓ Identify missed upside from underspending in high performers
- ✓ Compare risk and return across channels before shifting budgets
Ecosh Marketing mix modeling
An ecommerce supplement brand used MMM to grow revenue while reducing media spend as a share of revenue.
- Separated baseline demand from incremental lift
- Quantified channel contribution with uncertainty
- Enabled safer budget shifts (scenario planning)
Our process delivers custom models for your business and budget goals
Decide Business Goals
One-to-one meeting to discuss your goals and define the decisions you need to make.
Audit & Analyse
We audit your ads, tag manager, and analytics accounts to find gaps and opportunities.
Data Collection
We collect relevant marketing and non-marketing data that affects your business.
Model Exploration
Create various statistical models to make confident decisions about your budget.
Test and Refine
Observe and improve based on incrementality tests and model prediction accuracy.
Optimise and Reiterate
Optimise budgets and keep improving models to make better decisions over time.
Find out how we discovered that Brand Traffic in Google App Campaigns (Surprisingly) didn't matter
We ran a controlled A/B test for a productivity app to find out if brand search ads were truly incremental — or just cannibalizing organic installs. The result: no significant drop after excluding brand keywords.
Read the case studyMarketing mix modeling: FAQ
What business questions can MMM answer?
MMM helps you answer strategic questions like the true impact of each channel after adjusting for seasonality, discounts, and external demand shifts. It helps you identify overspending vs underspending, forecast the effect of budget shifts, and quantify what promotions actually drove.
Is MMM better than attribution or experiments?
They serve different jobs. MMM stays robust when tracking is limited and provides causal estimates across channels. Experiments are gold-standard for specific hypotheses but can be costly and slow. Attribution splits credit; it doesn’t prove incrementality.
What data do we need?
Ideally 2–3 years across key channels (spend, impressions, clicks) plus outcome data (revenue, leads, etc.). We also include non-marketing factors like holidays. You don’t need perfect data — we build the best model possible from what exists.
How do you validate the model?
We stress-test assumptions, validate against holdouts where possible, and compare MMM insights with experiments when available. We iterate: define → test → simulate or experiment → measure → improve.
Services that bring you growth
MMM is strongest when paired with excellent execution. We help you measure, decide, and act.
Full account management & multi-channel approach
Google App campaigns, Apple Search, Instagram, and Facebook app ads are common channels. We help you pick what matters and how to run each channel like a system.
We’ll cover the right options on the call.
Video creatives that turn campaigns around
We work with creators who deliver results. We know the formulas for making videos that perform and scale without burning budget.
Hear from Martin @minimalist phone app
and Nishant @Malwarebytes
Martin — minimalist phone
Nishant — Malwarebytes
Award-Winning Case Study
on Think with Google
We helped Synctuition, the meditation app, go from 0 to over 1 million installs just within a year while maintaining a positive ROI. Our app marketing efforts were covered on Think with Google.
Read case studyTrusted by leading brands
With years of experience, we help clients invest millions each month while hitting their ROAS targets.
How we helped two subscription apps go from 10k to 1M installs in under a year
Profitably. With positive ROI from day one.
Read the full story →Book a free strategy session
Curious if marketing mix modeling is right for you? Book a free call and we’ll map your measurement and budget plan.
Or write to us: karl@ppc.ee