Introduction to Online Experimentation and A-B Testing
Learn best practices for designing and evaluating A/B tests in online experimentation. Covers choosing metrics, avoiding errors, interpreting results, and comparing A/B to multivariate testing.
Shifting Focus from Conversion to Retention - Sustainable Growth Strategies
Explore Blinkist's shift from conversion-driven to holistic product focus, emphasizing engagement and retention. Learn key lessons, metrics, and organizational changes for sustainable growth.
Grow Your App or Game Business in Asian Markets - Strategies and Insights
Discover strategies for expanding your app or game business in Asian markets, focusing on localization, cultural adaptation, and effective user engagement techniques.
Applied Reinforcement Learning for Online Ads and Recommender Systems
Explore how Reinforcement Learning revolutionizes online advertising, from personalized content delivery to stochastic bandit algorithms, covering business impacts and technical challenges in real-world implementation.
Evaluating Recommendation Algorithms - Offline and Online Approaches
Discover how Delivery Hero optimizes recommendation algorithms through offline evaluations and A/B testing, enhancing user experience while maintaining business metrics.
Marketplace Experimentation at SpotHero
Explore dynamic pricing and experimentation in two-sided marketplaces. Learn about switchback testing and its application in improving KPIs for parking reservation platforms.
How to Build a Landing Page for Affiliate Marketing
Create a high-converting affiliate marketing landing page in minutes with this easy-to-follow tutorial.
Complete ConvertKit Tutorial 2024 - Email Marketing
Master ConvertKit's email marketing tools with this in-depth guide. Learn to create campaigns, manage subscribers, and optimize your strategy for better engagement and results.
Scaling Experimentation to 20 Billion Users
Discover insights on scaling experimentation to billions of users, learn best practices, and explore lessons from Statsig's rapid growth in product analytics and decision-making.
Practical Statistics for Data Scientists - Statistical Experiments Significance Testing
Learn statistical experiments and significance testing for data science, covering A/B testing, hypothesis testing, resampling, and ANOVA, with practical examples and insights.
Advanced Causal Inference Made Simple
Explore automated causal inference techniques using auto-causality package. Learn to analyze A/B test results, measure impacts, and identify customer responses to different options.
Proving the Impact: Using Synthetic Control to Evaluate Intervention Effectiveness
Explore Synthetic Control methodology for measuring intervention impact when A/B testing isn't feasible. Learn to construct "synthetic" units, estimate causal effects, and apply this innovative approach to real-world scenarios.
Causal Machine Learning with CausalELM - JuliaCon 2024
Explore causal machine learning with CausalELM, covering potential outcomes, real-world examples, extreme learning machines, and estimators. Learn practical implementation for various applications without extensive statistical background.
Building a Measurement System for Personalization - A Bayesian Approach
Explore Bayesian approaches for measuring personalization effectiveness, optimizing customer assignments, and designing MLOps-inspired measurement platforms for complex hierarchical experiments.
The Specifics of AB-Testing for Unit Economics with Network Effects
Discover advanced AB testing methodologies for unit economics optimization in network-effect environments, focusing on scaling strategies and business growth metrics.
Testing and Online Experimentation - A-B Testing
Explore online experimentation and A/B testing strategies used by industry leaders. Learn to implement effective tests, understand experimentation levels, and leverage data for product improvement and growth acceleration.
Online Experimentation and AB Testing
Comprehensive introduction to online A/B testing, covering statistical fundamentals, implementation strategies, and common pitfalls in digital experimentation for businesses.
Optimizing A/B Testing Roadmap - Lessons from Duolingo, Dailymotion, and Monzo
Learn A/B testing strategies from Duolingo, Dailymotion, and Monzo. Discover how to optimize your testing roadmap, ensure actionable results, and avoid ineffective approaches for app development.
Being Intentional: AB Testing and Data Minimization - PEPR '24
Explore data minimization techniques for AB testing, focusing on statistical approaches that don't require linking to individual customer IDs, promoting privacy-conscious analytics practices.
Building an Experimentation Culture: Beyond the Platform
Discover strategies to foster a robust experimentation culture beyond platform implementation. Learn to overcome common obstacles and create an environment that embraces data-driven decision-making through A/B testing.
Building an Experimentation Culture - Empowering Data-Informed Decisions
Empower your organization with data-driven decision-making by fostering an A/B testing culture and implementing effective experimentation strategies.