---
title: Experiment Value Estimator agent
slug: agent-platform/docs/experiment-value-estimator-agent
docTags: 
createdAt: 2026-08-12T15:37:08.000Z
---

**Experiment Value Estimator** is an agent in Agent Platform. It generates a stakeholder-ready report with the projected annualized impact of rolling out a winning experiment variation.

- **Challenge** – Communicating the business impact of a winning experiment is difficult. You often struggle to translate experiment test results into concrete, stakeholder-ready numbers that justify the investment. Lift percentages and statistical significance do not map directly to revenue.
- **Agent outcome** – The agent generates a report with the projected annualized impact of rolling out a winning experiment variation. It takes your experiment test results (conversion rates, traffic, duration, and value per conversion). It produces a shareable projection of the revenue or business value your winning test delivers.
- **Value** –
  - Quantifies the return on investment (ROI) of experimentation in dollar terms stakeholders understand.
  - Removes the guesswork from post-experiment reporting.
  - Gives you copy-ready Slack and email blurbs to share the result with stakeholders.
  - Includes an optional conservative discount factor to anchor stakeholders on a realistic, defensible number.

## Required Optimizely products

Optimizely Web Experimentation or Optimizely Feature Experimentation.

## Install agent

:::hint{type="info"}
**Note**

**Mark Administrators**, **Agent Builders**, and users with the **Add, edit, and install specialized agents** attribute for a custom role can add agents to their organization's Mark instance. See [Add users and set permissions.](../../get-started/get-started-with-optimizely-opal-for-administrators.mdx)
:::

Install the agent from the **Directory**.

1. Go to **Directory > Agents**.
2. (Optional) Begin entering *Experiment Value Estimator* or use the drop-down list filters to narrow the list.
3. Click **Install** on **Experiment Value Estimator** to add it to your Mark instance.

![screenshot of the Directory Agents page where Install is available for Experiment Value Estimator](https://api.archbee.com/api/optimize/BrbvVORKJ5iIeSMZye5kI/uUHbD-rTKa4HzrhxpkeyA_exp-value-estimator-agent.png)

If **Install** is disabled, connect the required Optimizely products to your Mark instance first.

## Use the agent

In [Mark chat](docId\:dtNBEttEGVvkhNkwNypLM), enter *@experiment\_value\_estimator* and provide the following details:

- `Primary Metric Name` – The primary success metric to measure. For example, *Form Success*, *Add to Cart*, or *Trial Signup*.
- `Conversion Unit` – The plain-English name for each conversion. The agent uses it in labels and share blurbs. For example, *lead*, *signup*, *order*, *subscription*, or *conversion*.
- `Variation Visitors` – Number of visitors exposed to the variation during the test (not total experiment traffic). For example, *139795*.
- `Control Conversion Rate` – Conversion rate for the control, entered as a percentage value. For example, *2.73* means 2.73% (not 0.0273).
- `Variation Conversion Rate` – Conversion rate for the variation, entered as a percentage value. For example, *2.87* means 2.87% (not 0.0287).
- `Statistical Significance` – Statistical significance or confidence level, entered as a percentage. For example, *93* means 93%.
- `Duration in Days` – Number of days the experiment ran. For example, *319*.
- `Value Per Conversion` – Dollar value of a single conversion, entered as a number (no $ sign or comma). For example, *70* for $70 per lead.
- (Optional) `Conservative Discount Factor` – Conservative haircut applied to the annualized projection, entered as a percentage. Reduces the headline projected annual value by this amount. For example, *10* means the agent projects 90% of the calculated annual value. A $1,000,000 annualized projection becomes $900,000. Default is 0 (no discount).

The **Experiment Value Estimator** agent generates a stakeholder-ready Hypertext Markup Language (HTML) impact report in a [canvas](docId:1_VDSKJ_RG0FEQe0MCTv1), showing observed incremental value, projected annual impact, confidence analysis, and copy-ready share blurbs for Slack and email.

To use the **Experiment Value Estimator** agent in a [workflow agent](docId:2HD0fUsIsfdek516VtN9l), drag and drop it into your workflow. See [Create a workflow agent](docId\:KWaI2TBwD38sN7p74exoy).

## Details

These are the default details for the **Experiment Value Estimator** agent. After you [install the agent in your Mark instance](./#install-agent), customize these details for your organization's needs. See [Manage agents](docId\:SSeNiblVMXwVvDR_lhtvI) for instructions.

### Input variables

The **Experiment Value Estimator** agent takes the following input:

- `Primary Metric Name`
- `Conversion Unit`
- `Variation Visitors`
- `Control Conversion Rate`
- `Variation Conversion Rate`
- `Statistical Significance`
- `Duration in Days`
- `Value Per Conversion`
- (Optional) `Conservative Discount Factor`

### Tools

The **Experiment Value Estimator** agent uses the following tools internally to process your request:

- `create_canvas`
- `reasoning_step`

### Additional details

The agent uses the following default configuration:

- **Inference level** – Pro. Provides maximum reasoning depth.
- **Files** – None.
- **Output** – Text.

:::hint{type="info"}
**Note**

If you use Opti ID, administrators can turn off generative AI in the Opti ID Admin Center. See [Turn generative AI off across Optimizely applications](docId\:X5U0kKD2azV5cIdNqwGNj).
:::