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What is Eppo?

Eppo simplifies the execution of reliable and impactful experiments by automating the analysis, diagnostics, and investigations directly within your data warehouse. The platform features a centralized dashboard that allows your entire team to track various elements of each experiment, such as the metrics impacted, their current status, confidence intervals, and other relevant metadata. With Eppo, you can analyze traffic splits, confirm the setup, and develop hypotheses, among other capabilities. The experiment data is set up using SQL snippets, providing a consistent and dependable source of truth for all involved metrics. All required data calculations take place within your warehouse, ensuring that no raw events leave your system. Setting up experiment assignments in Eppo is also seamless, utilizing SQL snippets that extract from your data warehouse. Whether you are using LaunchDarkly or a custom solution, Eppo can utilize any data that resides in your warehouse. Moreover, Eppo generates clear and easily understandable reports, making it user-friendly for team members without extensive statistical training to interpret and act upon. This accessibility fosters a collaborative environment and promotes informed decision-making across various teams, ultimately enhancing the overall effectiveness of your experimentation efforts. With Eppo, the integration of experimentation into your workflow becomes not just feasible but also efficient, guiding your team towards data-driven success.

What is ABTestly?

ABTestly serves as a powerful A/B testing tool tailored for teams that wish to execute experiments via coding rather than utilizing a graphical interface. Variations are developed using genuine JavaScript and CSS, allowing for seamless integration into your code repository and subjecting them to the same thorough review process as other code updates. The platform boasts a compact runtime of around 31 KB when gzipped, ensuring that users do not see a flash of the control version by delaying page rendering until the variation is completely applied. Rather than relying on a single estimated figure, ABTestly diligently monitors assignment, exposure, and conversion as three separate events in a detailed ledger, which improves the transparency of results. It also provides well-defined confidence intervals alongside sample sizes, avoids hasty announcements of winning variations, and detects any discrepancies in sample ratios, notifying users of potential concerns. With three statistical engines at its disposal, frequentist analysis is accessible for all plans, while sequential and Bayesian methods are exclusive to Pro plans and higher. Furthermore, a speed guardrail feature assesses the 75th percentile Largest Contentful Paint (LCP) in comparison to the control group, ensuring that performance metrics remain optimal. Clear pricing options are available, starting at $99 monthly for up to 50,000 tracked users, $249 for 200,000 users, and $549 for as many as 500,000 users, all with a 14-day trial included for monthly subscriptions, allowing teams ample opportunity to test the platform's capabilities. This approach not only enhances user experience but also fosters confidence in the results obtained from A/B testing initiatives.

Media

Media

No images available

Integrations Supported

Amazon Redshift
Google Cloud BigQuery
Snowflake

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$99/month
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Datadog

Date Founded

2010

Company Location

United States

Company Website

www.geteppo.com

Company Facts

Organization Name

ABTestly

Date Founded

2025

Company Website

abtestly.com

Categories and Features

AB Testing

Not specified

Test Management

Not specified

Categories and Features

AB Testing

Not specified

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