> ## Documentation Index > Fetch the complete documentation index at: https://docs.reelevant.com/llms.txt > Use this file to discover all available pages before exploring further. # Experiments > Create reusable experiments in Analytics and use them in Workflows Experiments listing with experiment names, statuses, types, periods, traffic allocations, and last updates Experiments help you compare Variants across Workflows and measure their impact in Analytics. An [Experiment](/glossary) is created and managed in Analytics, then reused by Workflows through the Experiment Node. It has a type, [Variants](/glossary), an [Allocation](/glossary) for each Variant, a [Control](/glossary) or [Reference](/glossary), a business hypothesis, and a success metric. ## Availability Experiments are activated on request: contact your Reelevant contact. ## Experiment types Experiment type picker showing Global holdout and Continuous A/B test objectives | Type | Objective | Variants | **Randomization unit** | End | | - | - | - | - | - | | **Global holdout** | **Measure incremental impact** | Exactly two: **Control** and [**Treatment**](/glossary) | Always **Per customer** | No automatic end; you can conclude it manually. | | **Continuous A/B test** | **Compare variants** | Two to four, including a **Reference** | **Per customer** or **Per display** | Conclude it when you choose. | A **Global holdout** keeps part of your audience on the non-personalised experience. This helps you measure the value personalisation adds. ## Experiments listing Open **Analytics** and select **Experiments** to see your experiments. | Column | What it shows | | - | - | | **Name** | The experiment name. | | **Status** | Where the experiment is in its lifecycle. | | **Type** | **Global holdout** or **Continuous A/B test**. | | **Period** | The experiment's start and end information. | | **Traffic allocation** | The configured share for each variant. | | **Last update** | When the experiment was last changed. | Select **Show archived** to include archived experiments. Select **Create experiment** to begin. ## Create an experiment Experiment configuration showing General, Variants and allocation, and Measurement sections 1. In the Experiments listing, select **Create experiment**. 2. Under **What is your objective?**, choose **Measure incremental impact** or **Compare variants**. 3. In **General**, enter a **Name** and **Business hypothesis**. 4. In **Variants and allocation**, name your Variants and set their Allocation. 5. In **Measurement**, choose a **Randomization unit** and one **Success metric**. 6. Select **Create experiment** to validate it as Ready, or **Save draft** to finish later. Your **Name** must not match an existing tag name because the Experiment becomes a tag. Select **Split evenly** to divide traffic evenly between the other Variants. The **Control** or **Reference** Allocation is calculated automatically, keeping the total at 100%. Before an Experiment starts, its **Control** or **Reference** receives all traffic. Choose **Per customer** to keep each customer in the same Variant. Choose **Per display** to assign a Variant each time Content is displayed. Choose one **Success metric**: **Unique conversion rate**, **Unique click rate**, **Revenue per customer**, or **Purchases per customer**. With **Per display**, only **Unique click rate** is available. You can attach a **Ready** Experiment to a Workflow before starting it. An Experiment used by no Workflow receives no traffic. ## Lifecycle Experiment page showing its status, configuration, and traffic allocation | Status | What it means | | - | - | | **Draft** | You can continue editing the Experiment. | | **Ready** | The configuration is validated and can be attached to a Workflow. | | **Live** | The Experiment is running and allocating traffic. | | **Decided** | A Variant was chosen to receive all traffic. | | **Archived** | The Experiment is archived and hidden from the active listing. | ### Validate or return to draft Select **Validate configuration** to move a draft to Ready. Select **Back to draft** to return a Ready Experiment to Draft. Detach the Experiment from its Workflows before moving it back to Draft. While a Draft or Ready Experiment is used by a Workflow, you cannot add or remove Variants. Everything else stays editable until you start it. ### Start Select **Start** to begin the Experiment manually. Starting locks its Variants, Allocation, Randomization unit, and Success metric. If no Workflow uses the Experiment, a warning appears. The Experiment receives no traffic until a Workflow uses it. ### Conclude Conclude experiment modal with the Variant to keep option The **Conclude experiment** modal offers **Variant to keep** radio options. Choose a Variant, then select **Conclude**. All traffic then goes to that Variant, and the Experiment becomes Decided. A **Global holdout** has no automatic end date, but you can conclude it manually. You cannot stop a **Live** Experiment without choosing a Variant to keep. Concluding is irreversible. The Experiment stops collecting data and cannot be restarted. ### Archive Select **More actions** > **Archive**, then type the confirmation word. Detach the Experiment from all Workflows first. **Archive** is not available while it is **Live**. ### Clone Select **Clone** to create a new draft named with “(copy)”. ## Read experiment data The Experiment page shows **Results dashboard coming soon**. Meanwhile, open [Data Exploration](/product-guide/analytics/data-exploration). Your Experiment appears as a tag named after it, with one value for each Variant. Add **Tag: {name}** as a dimension to compare Variants. See [Measures and Dimensions](/product-guide/analytics/measures-and-dimensions) for help choosing fields. These figures are not statistically validated. ## Coming soon The results dashboard and statistical significance are coming soon. Scheduled start and automatic end dates are also coming soon. ## What's Next? Use an Experiment in a Workflow. Explore your analytics data. Learn about Workflow Logic Nodes.