Marketing Science

Know what's
actually working.
And why.

Analytics tells you what happened. Marketing science tells you why, separating genuine, incremental growth from statistical coincidence so you can scale with confidence, not hope.

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The Problem We Solve

Correlation isn't causation.
And the difference is expensive.

Every marketing dashboard shows you what happened. Very few tell you why. Is that channel actually driving revenue, or would those customers have converted anyway? Is that campaign lifting sales, or just capturing demand that already existed?

These are the questions that standard reporting can't answer, and getting them wrong costs real money. Over-investing in channels that look good but aren't incremental. Under-investing in channels that work but don't get credit. Making strategic decisions on coincidence rather than causation.

Marketing science replaces guesswork with rigorous experimental frameworks, so you know, with statistical confidence, what is genuinely moving the needle.

The questions we answer

"Is this channel actually driving incremental revenue?"

"What would happen if we cut spend here by 30%?"

"Which audience is driving our highest-value conversions?"

"What does next quarter look like if we scale this campaign?"

Core services

Incrementality Testing
Geo-based and holdout experiments that isolate the true, incremental lift driven by your campaigns, removing the noise that makes correlation look like causation.
Causal Impact Studies
Statistical causal analysis that identifies the direct effect of specific marketing interventions on business outcomes, with confidence intervals, not gut feel.
A/B & Multivariate Testing
Rigorous experiment design, from hypothesis development through to statistical significance, that produces decisions you can act on with confidence.
Predictive Modeling & Forecasting
Revenue forecasting and scenario planning models built on your actual historical data, so budget allocation is forward-looking, not just reactive.
Lead Value Frameworks
Monetary value assignment across lead categories that enables bidding algorithms to optimize for total business value, not just raw conversion volume.

How We Work

A rigorous process for
defensible conclusions.

01
Goal-setting & hypothesis development
Every engagement starts with a precise question. We work with you to define what success looks like and develop a testable hypothesis, before we design a single experiment.
02
Experiment design & testing framework
We design the experiment to answer the question accurately, choosing the right methodology, test duration, control groups, and significance thresholds for your specific situation.
03
Causal analysis & impact measurement
We isolate the effect of your marketing interventions from background trends, seasonality, and confounding variables, using statistical methods that produce reliable conclusions.
04
Predictive modeling & forecasting
Where experiments reveal what works, predictive models tell you how far to scale it. We build forecasting frameworks that help you allocate budget with foresight, not hindsight.
05
Clear recommendations
You receive insights translated into specific, actionable recommendations, not raw statistical output. The goal is a decision you can act on with confidence, not a report to file away.
06
Ongoing optimization
The best testing programs are continuous, each experiment informs the next. We work with you on an ongoing basis to build a cumulative body of evidence about what drives your growth.
Free · Testing Feasibility Study

Can you prove what’s working?

Free, with no obligation. You'll get real findings, not a sales pitch.

We'll answer three questions

  1. 01Can your business support a valid test?
  2. 02If so, which test, and how long would it need to run?
  3. 03If not, what would have to change first?

What you get, free

A clear go or no-go. If go, a recommended test design: the method, how long it should run, and what it can reliably measure.

Questions

Is it really free?

Yes, no cost and no obligation. If the findings point to work we can help with, we'll say so. If they don't, we'll say that too.

What access do you need?

None upfront. We discuss it on the intro call, and read-only access is enough.

How long does it take?

You'll leave the intro call with a delivery date.

What happens after?

You keep the findings either way. If you want help acting on them, we'll scope it together.

Request your free study

We take on a limited number each month, so every request gets a real review.

Already know what you need? Talk to us about working together →

How it works

01

Request

A short form about your current setup.

02

Intro call

30 minutes on your business, your goals, and the access we'd need. Read-only is enough.

03

The study

Hands-on analysis of your data and your options.

04

Findings

A call walking through the results, plus a written summary.

The Full Picture

Marketing science is most powerful when built on
strong campaigns and clean analytics.

Performance Marketing
Campaigns that pay for themselves
The campaigns that generate the results your testing frameworks measure, and benefit most from knowing what's truly incremental.
Measurement & Analytics
The infrastructure behind the numbers
The data infrastructure that makes experiment design accurate and results trustworthy, the foundation every good test is built on.