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Experimentation Protocols: Your Practical Path to Better, Faster Testing
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Results

Product News
Introducing Switchback Testing on Eppo: An Intuitive Tool for Complex Marketplace Experiments

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Engineering
Migrating Feature Flagging Tools Is Easy, Actually

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Statistics
What to Do When You Encounter Sample Ratio Mismatch in A/B Testing

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Culture
The Connection Between Marketing Experimentation and Business Outcomes

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Marketing
Picking Your First Incrementality Test

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Statistics
Rethinking Experimental Statistics: New Standards for 2025

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Eppo News
Introducing Experiment Forecasting: Your Product Roadmap's New Best Friend

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Strategy
Building a Data-Driven Culture Through Experimentation

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A/B Testing
Optimizing for Real Business Impact: A Strategic Framework for Ecommerce Experimentation

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Engineering
Mobile Experimentation with Eppo: From Feature Flags to A/B Testing

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A/B Testing
Gaming companies run thousands of experiments a year - here’s why and how

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Eppo News
From Ideas to Insights: Accelerate Experimentation with Eppo's Contentful Integration

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Statistics
Significance Levels 101 for Smarter Experimentation

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Strategy
Make Smarter, Data-Driven Decisions in Your Experiments With Confidence Levels

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Tips
How to Set Up Eppo Protocols

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Culture
Make Decisions Before Experimenting

How pre-registration yields more rigorous decisions, faster decisions, and saved time

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Statistics
The 95% Confidence Interval’s Impact on Experimentation Results

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Tips
Building High-Impact Team Structures for Experimentation

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Strategy
Experimentation Protocols: Your Practical Path to Better, Faster Testing

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Strategy
Production Testing Guide For Safely Experimenting with New Features

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Ryan Lucht
How Startups Like Figma, Facebook, and Airbnb Found Sudden Growth Inflections
Tyler Buffington
The Bet Test: Spotting Problems in Bayesian A/B Test Analysis
Drew Harry
Make Decisions Before Experimenting
How pre-registration yields more rigorous decisions, faster decisions, and saved time
Julian Runge
Gaming companies run thousands of experiments a year - here’s why and how
Introducing: Eppo Geolift
·
A/B Testing
Statistics
Engineering
Culture

Optimizing for Real Business Impact: A Strategic Framework for Ecommerce Experimentation

Carlos Trujillo
·
February 20, 2025

Gaming companies run thousands of experiments a year - here’s why and how

Julian Runge
·
February 18, 2025

Accelerate Experimentation Adoption with Protocols and Property Analysis

Eric Metelka
·
November 21, 2024

Marketing Incrementality 101

Greg Dale
·
October 25, 2024

Four Customer Characteristics That Should Change Your Experiment Runtime

Simon Jackson
·
May 16, 2024

Your Comprehensive Guide To Creating an Experiment Plan

Kristi Angel
·
March 6, 2024

Surviving the "Peeking Problem": A Self-Help Guide for Product Managers

Eric Metelka
·
February 22, 2024

Holdouts: Measuring Experiment Impact Accurately

Giorgio Martini
·
December 12, 2023

What to Do When You Encounter Sample Ratio Mismatch in A/B Testing

Allon Korem
·
March 6, 2025

The Bet Test: Spotting Problems in Bayesian A/B Test Analysis

Tyler Buffington
·
December 16, 2024

Top 3 Tips from Eppo's Geolift Launch

Elizabeth George
·
November 21, 2024

Bayesian Angels and Frequentist Demons

Sven Schmit
·
July 24, 2024

The Cult of Stat Sig

Giorgio Martini
·
May 29, 2024

Encouragement Design Experiments: When You Can't Run a True A/B Test

Sven Schmit
·
February 20, 2024

The 4 Types of Validity in an Experiment You Need to Know

Kristi Angel
·
January 11, 2024

Comparing Frequentist vs. Bayesian vs. Sequential Approaches to A/B Testing

Sven Schmit
·
January 8, 2024

Migrating Feature Flagging Tools Is Easy, Actually

Alexey Komissarouk
·
March 7, 2025

Mobile Experimentation with Eppo: From Feature Flags to A/B Testing

Aaron Silverman
·
February 19, 2025

AB Testing 101 for Engineers

Jonathan Fulton
·
October 24, 2024

What’s Wrong with Feature Flags?

Alexey Komissarouk
·
July 24, 2024

What Happened When We Replaced Airflow for DAG Orchestration?

Ryan Lucht
·
July 23, 2024

Building a Custom DAG Orchestration System for Experimentation

Kristi Angel
·
July 22, 2024

Why We Replaced Airflow in our Experimentation Platform

Ryan Lucht
·
July 23, 2024

Incremental Pipelines: Managing State at Scale

Ryan Lucht
·
June 21, 2023

Make Decisions Before Experimenting

Drew Harry
·
January 27, 2025

How We Ran Successful Experimentation Office Hours at Groupon

Anne Kim
·
July 24, 2024

How to Hackathon: Where Experimentation Mindset Meets Rapid Action

Aaron Silverman
·
April 18, 2024

What to Look For in an Experimentation Platform (Beyond Features)

Ryan Lucht
·
March 18, 2024

A Simple "Build vs. Buy" Decision Framework for Experimentation

Che Sharma
·
February 5, 2024

Designing Eppo Reports

Ryan Lucht
·
October 25, 2023

From 10s to 1000s: How to Scale Experimentation Velocity

Kristi Angel
·
July 26, 2023

Be Data-Informed, Not Data-Driven

Ryan Lucht
·
June 5, 2023
New from Eppo
Experimentation Protocols: Your Practical Path to Better, Faster Testing
January 2025 – CJ Towle, Product Marketing Manager
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Expert Tips

Unsure how to run experiments? We’ve got you covered!
Statistics
Comparing Frequentist vs. Bayesian vs. Sequential Approaches to A/B Testing
Sven Schmit
Sven Schmit
·
January 8, 2024
Engineering
What is an ETL Pipeline? Easy Guide with Examples
Sven Schmit
·
May 9, 2024
Tips
What is the DAU/MAU Ratio? In Simple Terms
Ryan Lucht
·
May 9, 2024
Tips
What are Daily Active Users (DAUs) Exactly?
Ryan Lucht
·
May 8, 2024
A/B Testing
Top 8 Optimizely Alternatives Compared Head-to-Head (2024)
Ryan Lucht
·
April 26, 2024
A/B Testing
What is A/B/n Testing? Easy Guide with Examples
Ryan Lucht
·
April 24, 2024
Culture
How to Hackathon: Where Experimentation Mindset Meets Rapid Action
Aaron Silverman
·
April 18, 2024
A/B Testing
10 A/B Testing Metrics You Should Be Tracking & Testing
Ryan Lucht
·
April 18, 2024
Engineering
What is Canary Testing? An Easy Guide (2024)
Sven Schmit
·
April 18, 2024
Tips
What is Bucket Testing? Examples & Best Practices
Ryan Lucht
·
April 16, 2024
Engineering
LaunchDarkly Pricing: Is it Worth The Cost?
Ryan Lucht
·
April 16, 2024
Engineering
Top 8 LaunchDarkly Alternatives for Feature Management & Experimentation (2024)
Ryan Lucht
·
April 10, 2024
Tips
19 SaaS Product Metrics for 2024: Track & Test for Success
Ryan Lucht
·
April 5, 2024
A/B Testing
7 Best A/B Testing Tools in 2024 (Expert Review)
Ryan Lucht
·
April 5, 2024
Tips
Product Strategy Framework: The 5 Top-Performing Frameworks to Consider
Anne Kim
·
April 5, 2024
Eppo News
Introducing: Eppo Contextual Bandits
Sven Schmit
·
April 2, 2024
A/B Testing
7 Benefits of A/B Testing | Is it Really Worth it?
Ryan Lucht
·
April 1, 2024
AI/ML
When Should I Use Contextual Bandit Algorithms vs. Recommendation Systems?
Ryan Lucht
·
March 29, 2024
Culture
What to Look For in an Experimentation Platform (Beyond Features)
Ryan Lucht
·
March 18, 2024
A/B Testing
Your Comprehensive Guide To Creating an Experiment Plan
Kristi Angel
·
March 6, 2024
A/B Testing
Surviving the "Peeking Problem": A Self-Help Guide for Product Managers
Eric Metelka
·
February 22, 2024
Statistics
Encouragement Design Experiments: When You Can't Run a True A/B Test
Sven Schmit
·
February 20, 2024
Culture
A Simple "Build vs. Buy" Decision Framework for Experimentation
Che Sharma
·
February 5, 2024
Statistics
The 4 Types of Validity in an Experiment You Need to Know
Kristi Angel
·
January 11, 2024
Statistics
Comparing Frequentist vs. Bayesian vs. Sequential Approaches to A/B Testing
Sven Schmit
·
January 8, 2024
Eppo News
Now Live: Certified Metrics
Che Sharma
·
January 3, 2024
Eppo News
Now Live: Holdouts
Eric Metelka
·
December 14, 2023
A/B Testing
Holdouts: Measuring Experiment Impact Accurately
Giorgio Martini
·
December 12, 2023
A/B Testing
Bandit vs. Experiment Testing: Which Is Right for You?
Sven Schmit
·
December 12, 2023
Statistics
What We Heard at the 2023 Conference on Digital Experimentation @ MIT
Sven Schmit
·
December 5, 2023
Culture
3 Ways To Sell Your Org on Experimentation
Ryan Lucht
·
December 4, 2023
A/B Testing
How to Run Search-Ranking Experiments
Ryan Lucht
·
November 30, 2023
A/B Testing
When Should I Use Mutually Exclusive Experiments?
Giorgio Martini
·
November 20, 2023
A/B Testing
CMS Integrations: A Better Way for Marketing Teams to Run A/B Tests
Ryan Lucht
·
November 8, 2023
AI/ML
Experimentation Gets AI to the "Real World”
Ryan Lucht
·
November 8, 2023
Statistics
CUPED and CUPED++: Bending time in experimentation
Che Sharma
·
October 30, 2023
Culture
Designing Eppo Reports
Ryan Lucht
·
October 25, 2023
Eppo News
Now Live: Eppo Reports
Sven Schmit
·
October 17, 2023
A/B Testing
How to Compare LLMs with an A/B Test
Sven Schmit
·
September 12, 2023
A/B Testing
Experimentation Metrics: Deciding What To Measure
Anne Kim
·
August 24, 2023
Statistics
Beware of the Bayesian Imposter
Sven Schmit
·
August 15, 2023
Eppo News
The Most Powerful Diagnostics Tool Just Got Even Better
Kristi Angel
·
August 9, 2023
AI/ML
The "Transformative Force" of AI and Experimentation
Ryan Lucht
·
August 4, 2023
Culture
From 10s to 1000s: How to Scale Experimentation Velocity
Kristi Angel
·
July 26, 2023
AI/ML
AB Experiment Infra is AI Infra
Sven Schmit
·
July 24, 2023
AI/ML
AI Enabled Creators Need AB Experiments
Sven Schmit
·
July 24, 2023
Eppo News
Eppo and Modelbit: Introducing Our Partnership
Sven Schmit
·
July 19, 2023
Engineering
Incremental Pipelines: Managing State at Scale
Ryan Lucht
·
June 21, 2023
Culture
Be Data-Informed, Not Data-Driven
Ryan Lucht
·
June 5, 2023
Eppo News
Introducing the Copy SQL Button
Kristi Angel
·
May 24, 2023
Statistics
The Useful Useless p-value
Sven Schmit
·
May 17, 2023
Culture
How to Craft Compelling, Impactful Experiment Reports
Ryan Lucht
·
May 8, 2023
Eppo News
Eppo Announces Integration With Databricks
Sven Schmit
·
May 3, 2023
Product News
5 Ways to Ensure Data Quality When Running Experiments
Sven Schmit
·
April 25, 2023
Eppo News
Introducing Eppo's New Progress Bar
Kristi Angel
·
March 29, 2023
Culture
Experimentation is Not a Strategy
Hang Le
·
March 16, 2023
Culture
Doing Data Science in Sports, Where Experimentation Happens on the Field
Ryan Lucht
·
February 21, 2023
Product News
Architecting a Global Feature Flag Service
Ryan Lucht
·
February 16, 2023
Eppo News
Eppo partners with InvestInData to power data-driven decision making
Sven Schmit
·
January 19, 2023
Engineering
Introduction to Feature Flagging and Randomization
Anne Kim
·
January 12, 2023
Eppo News
Welcome to your unified feature flagging + experimentation platform
Sven Schmit
·
November 30, 2022
Statistics
What the heck is statistical power anyhow?
Anne Kim
·
October 25, 2022
Strategy
Introduction to Experimentation
Ryan Lucht
·
October 17, 2022
Culture
Tips for Making Experimentation Successful Across Your Organization
Anne Kim
·
September 26, 2022
AI/ML
Machine learning teams are AB experimentation teams
Sven Schmit
·
September 22, 2022
Eppo News
Eppo Obtains SOC 2 Type II Report
Sven Schmit
·
August 1, 2022
Eppo News
We raised $19.5M to bring Airbnb-caliber experimentation to all
Sven Schmit
·
June 22, 2022
Culture
The most impactful thing a data team can do is establish an experimentation program.
Sven Schmit
·
December 7, 2021
Culture
Stop Micromanaging Product Strategy
Sven Schmit
·
September 1, 2021
Eppo News
We're hiring a statistics engineer!
Sven Schmit
·
August 23, 2021
Strategy
Should you always run an experiment?
Sven Schmit
·
August 12, 2021
Culture
The Designer Gap in A/B Testing Tools
Che Sharma
·
June 28, 2021
Statistics
Reducing Experiment Durations
Che Sharma
·
June 17, 2021
Experimentation Frameworks: A Full Guide With Examples
Ryan Lucht
·
A/B Testing
How to Use CRO and A/B Testing Effectively
Ryan Lucht
·
Eppo News
Measuring Experiment Impact Accurately
Holdouts help measure the cumulative, long-term impact of an experimentation program.
Read more
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