Distinguishing correlation from causation is a competitive advantage. We conduct advanced Causal Inference research, identify KPIs that are causally linked with your business goals, and measure the true impact of your activities, to help your business grow faster.
Our Tremendous Services
KPIs analysis
Focus on KPIs that actually move the needle. Our services include analyzing your data thoroughly using Causal Inference methods, defining KPIs that are causally linked with your business goals and estimating expected impact size.
Feature release impact analysis
Do you know the true impact of your new features? When A/B Testing isn’t available, our specialists will use robust Causal Inference methodologies to analyze your data, identify the true impact of your feature release and help you make data-driven decisions.
Professional workshops
Looking to empower your analysts and data scientists? We offer Causal Inference workshops, on topics like Potential Outcomes and DAG Frameworks, Diff in Diff and Regression discontinuity methodologies, and much more. Make sure your team has everything they need to turn complex data into strategic advantage.
FAQs
Everything you ever wanted to know, we've got you covered
When is the best time to start using KPI analysis?
The best time to start KPI analysis is when you have clear business goals defined and are looking to identify the most predictive KPIs to optimize.
Who is KPIs analysis for?
KPIs analysis is usually suited for mature companies that have entered the growth stage and beyond. These companies are looking to optimize specific KPIs within their funnel to achieve aggressive business goals.
How long does the KPIs analysis take?
It typically takes between 3 to 4 months to see results.
How much do your services cost?
The cost varies depending on the project and client. For more information, please contact us.
What results can I expect from the KPIs analysis?
Upon completion, you will have well-defined KPIs that are causally linked to your business goals, along with an estimated impact size. For example, for every X% uplift in a KPI, you should expect a Y% uplift in the corresponding business goal. Additionally, you will receive all the code and calculations, as well as full documentation and explanations using causal inference terminology.
How long does the feature release impact analysis take?
It typically takes a few days to see results.
How are you different from other solutions out there?
We customize our services to fit each client's specific needs and context. Unlike black-box solutions, we provide all the code and calculations, full documentation, and explanations using causal inference terminology. We also hold periodic status meetings and share recommendations and next steps.
What resources do you need from me?
While we handle everything, we require access to your data and a limited number of analyst hours per project.