Growth hacking through Data and Experimentation
AB-test Masters helps you make the most out of your data
What we d0?
Get the Best of Causal Inference
Difference-in-Differences (DiD)
Propensity Score Matching
Synthetic Control Method
Randomized Controlled Trials (RCTs)
Regression Discontinuity Design (RDD)
Panel Data Analysis
Instrumental Variables (IV) Analysis
Causal Mediation Analysis
Granger Causality Test
Why AB-test masters?
Start your experimentation program and data-driven decision making with no data science team
Workflow Creation
We create your data and experimentation pipelines
Testing and analyzing
We help you run tests and analyze data
Training
We train your team to run a seamless testing program
Our Technology Stack
Our Work Flow
Head start your program in just three steps
1- Creating your work flow
First things first. We create your experimentation work flow which includes your data pipeline, GitHub, experimentation process, and analysis framework.
2- Start testing and growing
Make data-driven decisions by running experiments. Improve revenue, conversion rate, costs, and user experience.
3- Training your team
Our mission is to make sustainable growth possible for our clients. We train your team to take over the whole process so that you can grow independently.
“We had difficulty starting our A/B test program due to lack of the expertise in our team. AB-test masters setup our program quickly and trained our current team to run it efficiently ”
Jane Doe
CEO of Network
FAQ
You typically need 2 to 3 months to hire a couple of data scientists and business domain experts. This team needs at least a month to get to know the business and 2 to 3 months to set up the program. At the very best it will take you six months to one year to start your program. We can do it in less than two months!
Considering the amount of money you need to spend to hire staff, pay their wages, and trial and error to achieve the best process, it can cost you a couple of million dollars to do so. We can save you from all this trouble.
We would hold a couple of meetings to come up with the best solution according to your needs. Afterward, we create your workflow, start experimentation, and finally train your team to maintain the program.