This section refers to a deprecated version of the product. The new version is FE&R. To access FE&R, contact your CSM.
📘 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
    • 👉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)
    • 👉Retrieving your third-party tools’ audiences in AB Tasty - Feature Experimentation & Rollouts
    • Zapier integration
    • Segment integration
  • Steps configuration
    • 👉Configuring Sequential Testing Alerts
    • 👉Configuring your Flags
    • 👉Using the scheduler
    • 🛠️[Troubleshooting] How to target a large number of users at the same time?
    • 👉Configuring KPIs
    • 👉Using the automatic rollback option
    • 👉Targeting configuration
    • 👉Dynamic allocation
    • 👉Traffic allocation
  • Team
    • Access Rights, Teams & User Management
    • 👉Defining rights per project
  • DEMO
    • AB Tasty - Feature Experimentation & Rollouts Demo - How to use it
  • Navigating the interface
    • 👉Archiving use cases from the dashboard
    • 👉Flags page
    • 👉Running a search on the dashboard
    • Navigating the Flagship interface
  • REPORTING
    • 👉Verifying your hit setup
    • 👉Exporting reporting data
    • Understanding the "Chances to win" indicator
    • 🛠️[Troubleshooting] How can I know my test is reliable and my data significant enough to be analyzed?
    • Reporting - A/B Test
    • 👉Using the reporting filters
  • API keys & Settings
    • 👉Acting on your account remotely
    • 👉Using Experience Continuity
    • visitor experiment option
  • FEATURES SETUP
    • 👉Bucket allocation
  • SDKs integration
    • 👉Managing visitor consent
    • 👉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
    • 👉Webhooks page
  • Decision API
    • Decision API for non-techie users
  • Account & Profile
    • 👉Configuring account restrictions with MFA
    • 👉Configuring a FA on your profile
  • RELEASE NOTES
    • October - Flagship becomes Feature Experimentation & Rollouts
    • February - Release Notes
    • 📅January - Release Notes
    • 🎉December - Release Notes 🎉
    • 🦃November - Release Notes
    • September Release Notes 🎨
    • June Release Notes 🐞
    • 🍸May Release Notes ☀️
    • Flagship Release Notes April 🐇
    • Flagship February release notes 🏂
    • Flagship January release notes 🎉
    • Flagship November release notes 🦃
    • Flagship October Release Notes 🎃
    • Flagship September Release note 🎒
    • Flagship August Release Notes 🐬
    • Flagship Release Notes July ☀️
    • Flagship Release notes June 🌻
    • Flagship Spring Release May 🌸
    • Flagship Release Notes: Fall
  • Use cases
    • 👉Duplicating a winning variation
    • 👉Configuring a Feature Toggle/Flag
    • 👉Configuring an A/B Test
    • 👉Configuring a Progressive rollout
    • 👉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

© Copyright 2025 AB Tasty, Inc, All rights reserved

On this page

Was this helpful?

Edit on GitLab
Export as PDF
  1. First steps with Flagship

Glossary

2FA

Two-step process for verifying the identity of people who log into the platform and for securing your profile.

A/B Test / Experiment

Type of use case that lets you test a simple or complex hypothesis. Users are subjected to one of several alternative versions of a page, element, or workflow in order to identify the best-performing variation.

Automatic rollback

Option that enables you to stop the deployment of a feature and to revert all the changes that have been made in order to ensure that your feature isn’t breaking your customer experience, and therefore your business and conversion rate.

Backup codes

Codes generated after enabling a 2FA method that you can store in a safe location in case you forget or lose your phone.

Boolean

Type of variable with a value of either true or false.

Chance to win

Likelyhood of winning more if you put the variation into production. Calculation is based on the Bayesian confidence interval of the uplift.

Conversion rate

Number of visitors that reach a desired goal (a conversion) out of the total number of visitors.

Custom ID

Unique value that lets you request the flags of a specific use case.

Dashboard

Overview of your projects and all the use cases (features, experimentations) that you are currently managing.

Decision API

Deployment

Step that enables you to plan your progressive rollout by configuring each due date and percentage of traffic that will see your feature.

Dynamic allocation

Option that automatically sends more traffic towards the best-performing variation based on a specific KPI (e.g. conversion rate, transaction rate, etc.).

Dynamic variable (or Remote variable)

Container for some code (Feature flag, Toggle, CSS, Text, any values, etc.).

Environment ID

Identifier of your current environment (prod/preprod). It must be sent when you are communicating with the Decision API/SDKs.

Feature Flag

Remote variable / Dynamic variable you can play with remotely. From the Flagship platform, you can play with all the flags wrapping your feature.

Feature Toggle

Feature flag containing additional string or integer parameters (ON with quota of 500; ON with version number 2.1; etc.).

Feature

New functionality within a product to be deployed to users.

Feature management

Method used by development teams to deliver faster and take on more development cycles. It allows engineering teams to continuously deploy code and empowers business teams with control over features so they can manage their customer’s experience.

Feature toggle

Synonym of Feature Flag.

Flag Key

Variable present on your code that you want to act on with a specific value (Boolean, integer, string).

KPI

Key Performance Indicator, which will prove that your team brings ROI to your company.

MFA Method

Multi-factor authentication that allows you to protect your account.

Panic mode

Button in the settings that enables you to disable every live feature of your account, especially if you are dealing with a major issue.

Persona

Typology of users you want to address.

Personalization

Type of feature which enables you to modify the content of your website or application, either for the entire traffic or for a specific audience.

Primary KPI

KPI that serves as a point of reference for the entire use case to determine whether your use case is effective or not.

Progressive Rollout (or Progressive Deployment)

Feature that enables you to assign your users to your new feature step by step, with a Rollback KPI.

Projects

Series of features that you need to experiment and manage to reach a specific outcome.

Report

Analysis interface available for each feature, which presents the visits, actions, and behavior of visitors allocated to the feature. Each report includes a list of KPIs and indicators which enable you to determine the winning version of a test or the performance of a feature.

Rollback

Action carried out to completely disable the feature and return to the previous behavior of your website/application.

Rollback KPI

Metric you want to track in case your new feature negatively impacts your main objective.

Scenarios

Step that enables you to set your targeting users and your personalization/feature configuration.

SDK (Software Development Kit)

Easy way to develop in a specific language. This helps you save time as all the functions you need are pre-coded.

Secondary KPI

KPI which will probably and indirectly be impacted by your use case.

Standard allocation

Option that allows you to manually manage your user allocation on each variation of your feature.

Summary

Last step of each created use case that allows you to get an overview of your experimentation information.

Targeting

Feature configuration step. Enables you to specify the different targeting criteria of the audience which the modifications shall apply to.

Targeting key

Variable whose value can be used as a targeting criterion.

Uplift

Improvement made in comparison to the reference variation with the Bayesian interval.

Use case

Template applied to a feature (i.e.: an experiment use case applied to an algorithm feature).

User context

Context that you get from your user, shared to Flagship. It allows you to set different types of users (VIP, New, mobile user, etc.) which will increase the effectiveness of your feature management. Used for targeting keys and reporting filters.

User ID

Unique user ID (defined by you) that you send to the platform via the Decision API/SDKs.

Variation

Variant of the original version of your experimentation feature. The effectiveness of the variation is measured in relation to the original version, based on previously selected and configured KPIs.

PreviousQuick start guideNextSending transactions from the AB Tasty Shopify app directly to Feature Experimentation & Rollouts

Last updated 2 days ago

Was this helpful?

Managed REST API which allows your developers to communicate with our Flagship product. It will return flags and the associated values that you want to display to your users.

Learn more