Insights on A/B testing, multi-armed bandits, conversion optimization, and the science of experimentation.
Combine game theory with the scientific method to model user incentives, control for variables, and reach conclusions faster using Thompson Sampling and strategic experiment design.
Not every decision needs an A/B test. Learn when testing wastes time and money — from button color debates to testing things you already know are better — and how to spend your experimentation budget on changes that actually matter.
Google Optimize shut down in September 2023. Here's our comprehensive comparison of the best A/B testing alternatives including Optimizely, VWO, LaunchDarkly, and why Experiment Flow is the top choice for modern teams.
Learn the key differences between multi-armed bandit algorithms and traditional A/B testing, and when each approach maximizes your conversion rate.
A practical guide to Thompson Sampling, the Bayesian bandit algorithm that balances exploration and exploitation to find winning variants faster.
Everything you need to know about CRO: from hypothesis generation to statistical significance, with practical examples and tools.
Understand p-values, confidence intervals, and sample sizes without a PhD. Learn how to run experiments that produce trustworthy results.
How contextual bandits enable real-time personalization that adapts to each visitor's context, outperforming static A/B tests.
A/B testing is the scientific method applied to business. Learn how to form hypotheses, design controlled experiments, and draw valid conclusions from your data.
A technical deep-dive into how Experiment Flow's personalization engine uses neural networks, embeddings, and online learning to rank content for each visitor.
How three classical ML techniques — gradient clipping, weight decay, and learning rate scheduling — make online personalization models more stable and accurate.
How modern ML models power real-time website personalization — from contextual bandits to neural networks, and the engineering that makes it work at scale.
Compare the top A/B testing platforms including Optimizely, VWO, LaunchDarkly, AB Tasty, and Experiment Flow. Find the right tool for your budget and needs.
Practical strategies to reach statistical significance faster: dimension reduction, variable control, sequential testing, and multi-armed bandits for quicker experiment resolution.
From hypothesis to results: learn how to design, run, and analyze online experiments that produce actionable insights. Covers sample size, segmentation, and common pitfalls.
Experiment Flow