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When developing an app, the work of many is put together. It’s a combination of art, math, and marketing expertise that equates with users to uncover uncertainty through A/B testing.
A/B testing for mobile apps is one of the key techniques to make sure the app meets its users expectations and keep them engaged.
Today’s guest is Karan Tibdewal of Phiture, a mobile growth consulting company that assists clients with ASO, Apple search ads, mining user retention, growth consulting and A/B testing.
✔️ A/B Testing: Important and essential to start with fundamentals
✔️ Reason for Testing: Optimizing metrics that you care about by experimenting
✔️ Common Problems: Control, don’t mix variables to measure
✔️ Problems Solved: A/B testing solves user lifecycle issues from acquisition to reactivation
✔️ Customers: What resonates and what they actually need through A/B testing
✔️ A/B Testing Strategy: Experimentation mindset and understanding basics
✔️ A/B Testing Framework: Ideation, prioritize, test, analyze, revise, and consolidate/share
✔️ Brainstorm Ideas: Everybody has opinions, but unable to prioritize them
✔️ Quantitative vs. Qualitative: Validate ideas about users through data science support
✔️ How/where to learn A/B testing? Theory and statistics courses to app industry blogs
“It’s essential to start with fundamentals. A/B testing is not something completely new.”
“You care about a certain metric, and you want to optimize for its performance.”
“When you think you know your customers really well...A/B testing can prove you wrong.”
“Experimenting is usually the solution.”
4.7
2424 ratings
When developing an app, the work of many is put together. It’s a combination of art, math, and marketing expertise that equates with users to uncover uncertainty through A/B testing.
A/B testing for mobile apps is one of the key techniques to make sure the app meets its users expectations and keep them engaged.
Today’s guest is Karan Tibdewal of Phiture, a mobile growth consulting company that assists clients with ASO, Apple search ads, mining user retention, growth consulting and A/B testing.
✔️ A/B Testing: Important and essential to start with fundamentals
✔️ Reason for Testing: Optimizing metrics that you care about by experimenting
✔️ Common Problems: Control, don’t mix variables to measure
✔️ Problems Solved: A/B testing solves user lifecycle issues from acquisition to reactivation
✔️ Customers: What resonates and what they actually need through A/B testing
✔️ A/B Testing Strategy: Experimentation mindset and understanding basics
✔️ A/B Testing Framework: Ideation, prioritize, test, analyze, revise, and consolidate/share
✔️ Brainstorm Ideas: Everybody has opinions, but unable to prioritize them
✔️ Quantitative vs. Qualitative: Validate ideas about users through data science support
✔️ How/where to learn A/B testing? Theory and statistics courses to app industry blogs
“It’s essential to start with fundamentals. A/B testing is not something completely new.”
“You care about a certain metric, and you want to optimize for its performance.”
“When you think you know your customers really well...A/B testing can prove you wrong.”
“Experimenting is usually the solution.”
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