Experiment types & delivery — found from sitemap — GrowthBook

Cited by

Facts read from this source

• Experiment delivery methods Report an error

  “Run A/B tests with feature flags, the Visual Editor, URL redirects, or your own assignment, then analyze results in GrowthBook.”

• Server side experiments Report an error

  “the decision about what version to serve a user is decided on the server”

• Feature flag experiment rules Report an error

  “you can add an experiment rule to a feature that will randomly assign the users based on some hashing attribute into one of your experiment variations”

• Inline experiments Report an error

  “You can also run server-side experiments by using inline experiments directly with our SDK. This requires no 3rd party requests”

• Client side experiments Report an error

  “Client-side A/B testing, also known as frontend or client-side experimentation, is a way to test visual changes to your application.”

• Visual editor Report an error

  “GrowthBook has a visual editor for running experiments on the front-end of your website without requiring any code changes.”

• API ml experiments Report an error

  “with our deterministic hashing method for assignment, you can even be sure users get assigned the same variation across your platform without needing to store state from GrowthBook”

• Custom assignment analysis Report an error

  “As long as the exposure/assignment information is available from within your data warehouse, you can use GrowthBook to analyse the results of your experiments.”

• Assignment hashing Report an error

  “GrowthBook uses a consistent hashing algorithm to assign users to experiments, ensuring that the same user will always receive the same variation as long as the experiment settings (experiment seed and user hashing ID) remain unchanged.”

• Sticky bucketing Report an error

  “In cases where experiment settings do change but consistent assignment is still required, GrowthBook offers a feature called sticky bucketing, which requires additional configuration.”

• Namespaces mutual exclusion Report an error

  “If you need to run mutually exclusive tests, you can use GrowthBook’s namespace feature. Ensure all experiments within the namespace use the same hash attribute (assignment attribute).”

• Activation metric Report an error

  “If assignment is unavoidably separated from exposure, you can use an activation metric to filter out these un-exposed users from the analysis.”

• Targeting attributes Report an error

  “GrowthBook also lets you target any feature or rule based on the targeting attributes you define.”

• External experiment import Report an error

  “Importing External Experiments”

• Bandits Report an error

  “Bandits Contextual Bandits BETA”

• Holdouts Report an error

  “Holdouts”

• Power analysis Report an error

  “Power Analysis”

• Experiment templates Report an error

  “Experiment Templates”

Scores citing this record

• The CRO Consultant Experiment types & delivery
• The CRO Consultant Consent & visitor tracking
• The Data Protection Officer Experiment types & delivery
• The Data Protection Officer Consent & visitor tracking
• The E-Commerce Manager Experiment types & delivery
• The E-Commerce Manager Consent & visitor tracking
• The Growth Lead Experiment types & delivery
• The Growth Lead Consent & visitor tracking
• The Product Engineer Experiment types & delivery
• The Product Engineer Statistical method & guardrails
• The Product Engineer Consent & visitor tracking
• The Skeptic Experiment types & delivery
• The Skeptic Statistical method & guardrails
• The Skeptic Consent & visitor tracking