Measurement Lab - MLab
MLab is a measurement framework based on real-world experimentation and causal modeling.
While it helps marketing team leverage real-world evidence, the experimental measurements complement and improve the performance of your in-house Marketing Mix Model (MMM)
80% of CMOs want to better understand the impact of their marketing spend at the channel level
Continuous Experimentation
Models are good, but as long as they are grounded in real-world experiments. At ELIYA, we want to build models based on real-world evidence.
This is why we have developed MLab, a systematic experimental design framework that uses causal modeling to uncover the true impact of channels.
Experimentation at scale
Performing experiments require a lot of hands-on work. With us, you can scale your experimentation capacity from a handful of experiments to hundreds or thousands of experiments per year.
Why Impact Measurement?
The performance of an MMM is only as good as the quality of its input data.
MLab is a systematic experimental design framework that uses causal modeling to uncover a channel's true impact.
As part of model grounding, the MLab ensures the MMM system is connected to high-quality and verified source of information.
How Effective Is Your Marketing?
“Is Marketing effective?” is an ever-debated topic in companies. MLab forms the bedrock for measuring and optimizing the true causal impact at the channel level.
Key Features
Boost Performance
High-quality data is synonymous with precise and powerful MMM models
Accurate Measurement
Confidently measure the causal marketing impact at the level of channels
Reduce Waste
Reduce unnecessary spending by leveraging MLab's actionable insights
Boost Performance
High-quality data is synonymous with precise and powerful MMM models
Accurate Measurement
Confidently measure the causal marketing impact at the level of channels
Reduce Waste
Reduce unnecessary spending by leveraging MLab's actionable insights