{"id":21154,"date":"2020-01-30T15:26:59","date_gmt":"2020-01-30T15:26:59","guid":{"rendered":"https:\/\/www.arimetrics.com\/glosario-digital\/custom-metrics"},"modified":"2026-09-14T10:40:36","modified_gmt":"2026-09-14T10:40:36","slug":"custom-metric","status":"publish","type":"encyclopedia","link":"https:\/\/www.arimetrics.com\/en\/digital-glossary\/custom-metric","title":{"rendered":"Custom Metric"},"content":{"rendered":"<p><img decoding=\"async\" alt=\"Custom Metric\" class=\"boxpad wp-image-23276 size-full alignright\" height=\"300\" src=\"https:\/\/www.arimetrics.com\/wp-content\/uploads\/2021\/11\/custom-metric.jpg\" style=\"margin-top:0;\" width=\"300\" srcset=\"https:\/\/www.arimetrics.com\/wp-content\/uploads\/2021\/11\/custom-metric.jpg 300w, https:\/\/www.arimetrics.com\/wp-content\/uploads\/2021\/11\/custom-metric-150x150.jpg 150w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><strong>Definition:<\/strong><\/p>\n<p>A <strong>custom metric<\/strong> is a quantitative measure configured in an analytics tool to analyse data that is not covered by its predefined metrics. In Google Analytics 4 (GA4), it allows numerical values sent through event parameters to be used.<\/p>\n<p>These metrics help analyse business-specific results and can incorporate information from other systems, such as a CRM, when an integration sends it to Analytics. Creating a metric does not establish that connection or automatically start data collection.<\/p>\n\n<h2>Creating a custom metric<\/h2>\n<p>In GA4, custom metrics are event-scoped. Before registering one, the transmission of a numerical parameter from the website, application or relevant integration must be configured, and its receipt by Analytics must be checked.<\/p>\n<p>Creating a custom metric requires the Editor or Administrator role on the property. The process consists of these steps:<\/p>\n<ol>\n<li><strong>Select the property:<\/strong> open the GA4 property receiving the data.<\/li>\n<li><strong>Open custom definitions:<\/strong> in Admin, go to Data display and select &#34;Custom definitions&#34;.<\/li>\n<li><strong>Start creating the metric:<\/strong> open the &#34;Custom metrics&#34; tab and click &#34;Create custom metric&#34;.<\/li>\n<li><strong>Assign a name:<\/strong> use a clear, unique name that identifies the measure in reports. A description can be added to explain what it represents.<\/li>\n<li><strong>Specify the event parameter:<\/strong> enter the name of the numerical parameter being sent. It must match the name used in the implementation.<\/li>\n<li><strong>Choose the unit of measurement:<\/strong> select the unit corresponding to the data, such as standard, currency, distance or time. For monetary metrics, also specify whether they represent costs or revenue.<\/li>\n<li><strong>Save the configuration:<\/strong> once the data has been sent and the metric created, it usually takes between 24 and 48 hours to become available in reports.<\/li>\n<\/ol>\n<p>The unit must correspond to the value being sent. If a duration is recorded in milliseconds, it should not be configured as seconds without the appropriate conversion.<\/p>\n<p>Standard properties allow up to 50 custom metrics, and Analytics 360 properties allow up to 125. Before registering a new one, it is useful to check whether a predefined metric already meets the need. The full procedure is available in the <a href=\"https:\/\/support.google.com\/analytics\/answer\/14239619?hl=en\" target=\"_blank\" rel=\"noopener\">GA4 custom metrics documentation<\/a>.<\/p>\n<h2>Examples of custom metrics<\/h2>\n<p>The following examples illustrate measures that can provide specific information for analysis:<\/p>\n<ul>\n<li><strong>Points earned on completing a level:<\/strong> an application can send a numerical parameter with the points earned each time a level is completed. The metric allows accumulated scores to be analysed and compared across levels.<\/li>\n<li><strong>Duration of a configuration process:<\/strong> a website can send the time spent completing a product configurator. The metric allows that duration to be analysed alongside characteristics of the process.<\/li>\n<li><strong>Cost of handling a request:<\/strong> an integration with the <a href=\"https:\/\/www.arimetrics.com\/en\/digital-glossary\/crm\">CRM<\/a> can send the cost associated with a handled request. The metric allows that amount to be analysed by request category, provided that the integration supplies the necessary data.<\/li>\n<\/ul>\n<p>In these cases, what each value represents and when it is sent must be defined. Recording the same result several times can cause totals to count it more than once.<\/p>\n<h2>Use in reports<\/h2>\n<p>Custom metrics extend the possibilities of <a href=\"https:\/\/www.arimetrics.com\/en\/digital-analytics-agency-spain\">web analytics<\/a> by allowing business-specific results to be measured. They can be included in compatible reports and explorations and analysed alongside other metrics.<\/p>\n<p>A metric quantifies a value, whereas a <a href=\"https:\/\/www.arimetrics.com\/en\/digital-glossary\/custom-dimension\">custom dimension<\/a> describes a characteristic. For example, points earned are a metric, while the difficulty of a level can be a dimension. Combining them allows results to be compared across categories.<\/p>\n<p>They should not be confused with calculated metrics, which are obtained through formulas applied to other existing metrics.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Definition: A custom metric is a quantitative measure configured in an analytics tool to analyse data that is not covered by its predefined metrics. In Google Analytics 4 (GA4), it allows numerical values sent through event parameters to be used. These metrics help analyse business-specific results and can incorporate information from other systems, such as [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":0,"template":"","encyclopedia-tag":[1296],"class_list":["post-21154","encyclopedia","type-encyclopedia","status-publish","hentry","encyclopedia-tag-measurement-planning"],"_links":{"self":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/encyclopedia\/21154","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/encyclopedia"}],"about":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/types\/encyclopedia"}],"author":[{"embeddable":true,"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/users\/6"}],"wp:attachment":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/media?parent=21154"}],"wp:term":[{"taxonomy":"encyclopedia-tag","embeddable":true,"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/encyclopedia-tag?post=21154"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}