Marketing measurement
Understand what the evidence says about marketing performance. Evaluate incremental effects, design experiments and identify where further measurement is needed.
Incrementality · Experiment design · Evaluation
Analytical consulting
Better evidence.
Better marketing
decisions.
We help marketing teams understand what drives performance, evaluate investment choices and decide where to invest.
Marketing measurement, modelling and planning.
- Bayesian modelling
- Econometrics
- Causal inference
- Experiment design
- Scenario planning
Our services
Start with the decision
that matters.
Focused analytical work, from understanding past performance to evaluating what comes next.
Marketing mix modelling
Examine the relationship between marketing investment and business outcomes. Account for other drivers, assess model uncertainty and make the assumptions explicit.
Bayesian methods · Econometrics · Model review
Budget & scenario planning
Compare investment choices within real constraints. Explore alternative budgets, channel allocations and the range of outcomes supported by the evidence.
Budget allocation · Scenario analysis · Decision support
Our approach
Clear questions.
Careful analysis.
Useful analysis makes its reasoning visible. We connect the business question, the evidence and the decisions that follow.
Frame the decision
Agree the business question, the choices available and what useful evidence would look like.
Examine the data
Review coverage, quality and measurement gaps before deciding what the analysis can support.
Model & evaluate
Use appropriate statistical methods, test assumptions and examine uncertainty.
Inform the plan
Translate the findings into options, trade-offs and a clear account of their limitations.
Uncertainty is part of the answer. We explain what the evidence supports, where it is inconclusive and what would help resolve it.
About Griffin Analytics
Statistical rigour.
Commercial context.
Griffin Analytics brings statistical methods to marketing measurement and planning. Our work combines Bayesian modelling, econometrics and causal inference with the practical questions facing marketing teams.
We make the path from data to conclusion clear, with reproducible analysis, explicit assumptions and a considered account of uncertainty.
Talk to us about your workLet's talk
What decision are
you working on?
Tell us about your business question, the data you have and the decision you need to make.
Discuss a project info@griffin-analytics.com