This section refers to a deprecated version of the product. The new version is FE&R. To access FE&R, contact your CSM.
πŸ“˜ To learn more, read the FE&R documentation.
LogoLogo
PlatformsPricingRessources
  • User documentation
  • Onboarding
  • Help Center
  • Release Notes
  • Flagship - Deprecated
  • Feature Experimentation & Rollout (ex-Flagship) is evolving!
  • GETTING STARTED
    • πŸ‘‰Managing multiple environments
    • Using the trial version of Flagship
  • First steps with Flagship
    • Quick start guide
    • Glossary
  • Implementation
    • Sending transactions from the AB Tasty Shopify app directly to Feature Experimentation & Rollouts
  • Integrations
    • Heap Analytics integration (Push)
    • Tealium AudienceStream (receive audiences)
    • FullStory integration (segment exports)
    • Heap Analytics integration (Pull)
    • Google Analytics integration (pull audiences)
    • Segment Integration (receive traits)
    • Mixpanel integration (cohort exports)
    • πŸ‘‰Retrieving your third-party tools’ audiences in AB Tasty - Feature Experimentation & Rollouts
    • Zapier integration
    • Segment integration
  • Steps configuration
    • πŸ‘‰Configuring Sequential Testing Alerts
    • πŸ‘‰Configuring your Flags
    • πŸ‘‰Using the scheduler
    • πŸ› οΈ[Troubleshooting] How to target a large number of users at the same time?
    • πŸ‘‰Configuring KPIs
    • πŸ‘‰Using the automatic rollback option
    • πŸ‘‰Targeting configuration
    • πŸ‘‰Dynamic allocation
    • πŸ‘‰Traffic allocation
  • Team
    • Access Rights, Teams & User Management
    • πŸ‘‰Defining rights per project
  • DEMO
    • AB Tasty - Feature Experimentation & Rollouts Demo - How to use it
  • Navigating the interface
    • πŸ‘‰Archiving use cases from the dashboard
    • πŸ‘‰Flags page
    • πŸ‘‰Running a search on the dashboard
    • Navigating the Flagship interface
  • REPORTING
    • πŸ‘‰Verifying your hit setup
    • πŸ‘‰Exporting reporting data
    • Understanding the "Chances to win" indicator
    • πŸ› οΈ[Troubleshooting] How can I know my test is reliable and my data significant enough to be analyzed?
    • Reporting - A/B Test
    • πŸ‘‰Using the reporting filters
  • API keys & Settings
    • πŸ‘‰Acting on your account remotely
    • πŸ‘‰Using Experience Continuity
    • visitor experiment option
  • FEATURES SETUP
    • πŸ‘‰Bucket allocation
  • SDKs integration
    • πŸ‘‰Managing visitor consent
    • πŸ‘‰Understanding the use of SDKs
  • FAQ
    • Can I make a comparison for each reporting?
    • Can I use Flagship even if my SDK stack is not available?
  • Platform integration
    • πŸ‘‰Webhooks page
  • Decision API
    • Decision API for non-techie users
  • Account & Profile
    • πŸ‘‰Configuring account restrictions with MFA
    • πŸ‘‰Configuring a FA on your profile
  • RELEASE NOTES
    • October - Flagship becomes Feature Experimentation & Rollouts
    • February - Release Notes
    • πŸ“…January - Release Notes
    • πŸŽ‰December - Release Notes πŸŽ‰
    • πŸ¦ƒNovember - Release Notes
    • September Release Notes 🎨
    • June Release Notes 🐞
    • 🍸May Release Notes β˜€οΈ
    • Flagship Release Notes April πŸ‡
    • Flagship February release notes πŸ‚
    • Flagship January release notes πŸŽ‰
    • Flagship November release notes πŸ¦ƒ
    • Flagship October Release Notes πŸŽƒ
    • Flagship September Release note πŸŽ’
    • Flagship August Release Notes 🐬
    • Flagship Release Notes July β˜€οΈ
    • Flagship Release notes June 🌻
    • Flagship Spring Release May 🌸
    • Flagship Release Notes: Fall
  • Use cases
    • πŸ‘‰Duplicating a winning variation
    • πŸ‘‰Configuring a Feature Toggle/Flag
    • πŸ‘‰Configuring an A/B Test
    • πŸ‘‰Configuring a Progressive rollout
    • πŸ‘‰Configuring a Personalization
  • VIDEO TUTORIALS
    • [Video Tutorial] AB Test
    • [Video Tutorial] Feature Flag
    • [Video Tutorial] Progressive Deployment
Powered by GitBook
LogoLogo

AB Tasty Website

  • Home page AB Tasty
  • Blog
  • Sample size calculator
  • Release note

AB Tasty Plateform

  • Login

Β© Copyright 2025 AB Tasty, Inc, All rights reserved

On this page
  • What is a reporting comparison?
  • Which use case is it available for?

Was this helpful?

Edit on GitLab
Export as PDF
  1. FAQ

Can I make a comparison for each reporting?

What is a reporting comparison?

A reporting comparison is used to analyze different variations of a feature. It allows our Bayesian algorithms to accurately determine which variation will perform best in terms of earnings, conversion rate and so on.

Which use case is it available for?

Being able to compare several variations is only applicable for A/B tests. In Feature toggling, there is no variation to compare when doing feature management, as we are evaluating the individual performance of the feature itself. For personalization, we are mainly looking to create several scenarios for specific audiences, and separately analyze their performances. For progressive rollout, we are looking to deploy a feature gradually to your users and want to measure the effectiveness of the feature deployment.

PreviousUnderstanding the use of SDKsNextCan I use Flagship even if my SDK stack is not available?

Last updated 2 days ago

Was this helpful?