Optimizely Web Experimentation
by Optimizely
Optimizely Web Experimentation runs client-side A/B and multivariate tests on defined pages and audiences, and its API returns experiments, campaigns and results with conversion rates and statistical significance per variation. Results stop at the test metric. A Lake that also holds orders and retention shows whether a winning variation still pays three months later.
- Category
- Analytics & Attribution
- Type
- Experimentation & A/B testing
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Access token, OAuth 2.0
02Data
What you can sync.
- Experiments
- Results
- Audiences
- Pages
- Campaigns
Join Optimizely Web Experimentation experiments with orders, subscriptions and CRM data, so a question about growth gets one answer instead of three dashboards.
Need more? Name any other Optimizely Web Experimentation data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An access token
- OAuth 2.0 (client ID, client secret, refresh token)
Optimizely Web Experimentation uses an access token or OAuth 2.0 (client ID, client secret, refresh token). You add the credentials once, when the AI asks for them, and it tells you where to create them in Optimizely if you need help.
04Questions
Questions you can answer.
Once Optimizely Web Experimentation data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- Which winning variations from last year still show higher revenue per visitor today?
- How many experiments ran on the checkout page at the same time, and on which audiences?
- Which audiences respond to tests in the opposite direction from the overall result?
- What share of experiments reached significance, and how long did they run?
05How it works
How it works in DataMind.
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Pick Optimizely Web Experimentation.
Open Lake, pick Optimizely Web Experimentation in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Optimizely Web Experimentation API docs.
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Answer a few questions.
The AI reads the Optimizely Web Experimentation documentation, then asks which credentials you will use, which data to sync (for example experiments and results), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Optimizely Web Experimentation data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with Optimizely Web Experimentation.
Sources teams join with Optimizely Web Experimentation in the Warehouse, each one connected the same way.