Usage and billing dashboards

The Usage & Billing dashboards in the Opti ID Admin Center provide a central location to monitor your usage and billing data for all your Optimizely products. The dashboards are available for the following Optimizely products:

In the Opti ID Admin Center, go to Usage & Billing. If you have multiple Optimizely products, you must select the correct product tab to view usage and billing data specific to that product. The dashboards and metrics you see depend on the products and contract you have.

For more information on filtering, downloading, and other dashboard actions, see Work with dashboards.

The Optimizely Experimentation usage and billing dashboards provide a detailed view of your usage. The dashboard shows data for the metric your contract is based on. For example, if you purchased monthly active users (MAUs), you see MAU data. The data is pulled every 24 hours and can take up to 3 hours to display in the dashboard. You can view the following MAU information:

The Mark usage and billing dashboards provide a detailed view of your credit consumption. You can see how many credits your organization has used and has left, how your balance changes over time, and which users and agents consume the most credits.

The Agent Platform Insights dashboard gives you an overview of your credit consumption so you can manage your credit allocation. The dashboard includes the following data:

The Usage by User section shows how many credits each user account consumed. Use the User Email, User Type, and Usage Date filters to narrow the data. The default date range is Last 7 Days.

The Credit Usage by User chart lists each User Email with its User Type and Credit Total. Use this chart to identify high-usage accounts and monitor consumption trends.

The Usage by Agent section shows how many credits each agent consumed. Use the Usage Date, Agent ID, and Instance Name filters to narrow the data. The default date range is Last 7 Days.

The Credits Consumed Per Agent chart lists each Agent Name with its Total Credits. Use this chart to find the agents that use the most credits.

The Mark Agent Usage dashboard displays a table that lists the agent IDs (@names) in your product instances and the total number of credits each agent consumed.

For more information about how people in your organization use Mark, such as adoption data, see Optimizely Reporting for Mark.

If you have any of the following products, select the product tab in Usage & Billing to view its usage and billing dashboard.

Optimizely Experimentation, Content Marketing Platform (CMP), and Mark support billing notifications, which help you track your application usage throughout the month and avoid additional charges. Complete the following steps to enable billing notifications for specific users in your organization:

See the following details on product-based notification settings:

These notifications do not prevent you from exceeding your allotted usage. They only make it easier for you to monitor your usage.

You can download data from two places: a specific dashboard tile, or the entire dashboard. To download all of the data behind a tile, use the tile download.

By default, the dashboard displays usage and billing data for the current year. If you have a multi-year contract, you can adjust this filter to view data from a different contract year. The last time the system refreshed the data displays at the top.

Click Hide filters to collapse the filters so they do not display on the dashboard.

To clear the current filter settings and reset to the default filter, click Dashboard actions > Reset filters. The dashboard automatically reloads to display data for the default filters.

If you want to change the time zone for your dashboard, click Dashboard actions > Each tile's time zone. Select your desired time zone from the drop-down list, then click Update.

To expand a tile on a dashboard, click Tile actions > View > Expanded. From the expanded view, use the left and right arrows to scroll through other dashboard tiles.

You can also make the dashboard tiles full screen. Click Tile actions > View > Full Screen. Click Close or press Escape on your keyboard when done.

Click Reload to apply your filter changes. The dashboard does not update until you do.

Download from the dashboard tile instead of the entire dashboard. Click Tile actions > Download data, expand Advanced data options, and select the option to include all results. For more information, see Download a dashboard.

MAUs are not broken down by day. They are rolled up to specific dates. If the last rollup date is outside the date range you select, the dashboard has no data to show. Select a longer date range, such as Last 14 Days, that includes the most recent rollup date.

The projected usage calculation does not include the current month. If your MAUs or impressions changed significantly this month, that change is not yet reflected in your projection.

Data is pulled every 24 hours and can take up to 3 hours to display in the dashboard, so expect a lag of about 27 hours.

Not if you identify the same user the same way in both products. Optimizely aggregates all consumption into a single count of unique users, and de-duplicates a user only when both products use the same user ID for that person. For example, if Feature Experimentation has three unique users (Bob, Larry, and Mo) and Web Experimentation has two (Larry and Mo), and both products identify Larry and Mo with the same user IDs, your MAU count is three. If the products identify the same person with different IDs, such as an anonymous Web Experimentation ID and a known Feature Experimentation ID, Optimizely counts them as separate users.

To avoid overcounting, override the anonymous Web Experimentation user IDs with your known Feature Experimentation user IDs. For more information, see De-duplication.

Each unique visitor who loads a page that has the Optimizely snippet is counted as one MAU for the month, even if the snippet is empty or the visitor does not see an experiment. A visitor who returns multiple times in the same month is still counted once. If you do not want Optimizely Web Experimentation to run on a specific page, remove or disable the snippet on that page.

If you use custom snippets, the snippet can contain experiments from multiple projects. In this case, the breakdown shows a row for each custom snippet instead of each project.

The following answers apply to contracts that are measured in pageviews. To see the unit your contract uses, check the Unit of Measure tile on the dashboard.

Optimizely calculates pageviews from the data captured by Azure Application Insights. Usage is counted across all of your environments, such as production, integration, and preproduction.

Optimizely cannot filter a pageview after it is recorded. Third-party elements that load in an iFrame, such as ad networks, are captured as part of the full page render and are counted as pageviews. If you suspect bot traffic is inflating your count, submit a support ticket to enable or modify bot blocking at the web application firewall (WAF) level. This blocks bots before the pageview is recorded.

GA4 and Azure Application Insights are built for different purposes, so their counts differ. Do not compare the data. The following are common reasons:

A missing or broken tracking snippet is the most common cause of a sudden, large drop. Pageview data can also take up to 7 days to fully settle, so a query for the same date can return different results on different days. If data is missing for longer than 7 days, submit a support ticket.

When you run a query in the CMS or GraphiQL interface, the system uses single-key authentication by default. This returns only public and published content. To get a complete count, use HMAC or Basic authentication. These methods return all content items, including unpublished content and content with access restrictions.

Named users are people you authorize to use CMS (SaaS). The count is a limit that you cannot exceed at any point, not a total over the contract term. Users are counted across your organization, so the same user is counted once even if they have access to multiple CMS instances. Any user with at least one CMS role is counted, regardless of which roles they have.

No. Credits are purchased for your organization. You cannot limit credits per instance.

Yes. In addition to organization-level totals, you can view credits by user and by agent in Usage & Billing.

Credit calculation takes into account the input tokens, output tokens, number of tools called, and the model used.

A transaction is any order, quote, or requisition that is submitted through your e-commerce site or API and moves to Submitted status.

Commerce Connect is a PaaS solution, so transaction volume does not display in the Admin Center. Report your transaction volume to your Optimizely account team as required by your contract.