{"id":14151,"date":"2026-09-05T07:50:00","date_gmt":"2026-09-05T05:50:00","guid":{"rendered":"https:\/\/www.lukaswojcik.com\/blog\/?p=14151"},"modified":"2026-09-24T23:33:37","modified_gmt":"2026-09-24T21:33:37","slug":"the-ga4-dashboard-six-card-types-a-15-card-limit-and-no-segments","status":"publish","type":"post","link":"https:\/\/www.lukaswojcik.com\/blog\/en\/digital-analytics\/the-ga4-dashboard-six-card-types-a-15-card-limit-and-no-segments\/","title":{"rendered":"The GA4 Dashboard: Six Card Types, a 15-Card Limit and No Segments"},"content":{"rendered":"<p>Google has rebuilt the reporting workspace around a single button. At the top of the Reports navigation sits <em>+ Create<\/em>, and choosing Dashboard from it opens a grid canvas. Dimensions and metrics are dragged onto that canvas, a panel on the right adjusts whatever card is selected, Save keeps the work and Publish writes the finished page straight into the left navigation of Reports.<\/p>\n<p>What the dashboard is good for follows from four published numbers and three published absences, and those are worth reading before a Looker Studio page gets retired in its favour.<\/p>\n<figure class=\"lw-diagram\">\n<img decoding=\"async\" src=\"https:\/\/www.lukaswojcik.com\/blog\/wp-content\/uploads\/diagrams\/kartenraster-en.png\" width=\"1120\" height=\"580\" loading=\"lazy\" alt=\"A dashboard grid holding eight cards of different footprints, beneath it a bar of thirty slots with eight filled and a marker at fifteen dividing standard from premium, beside three panels covering roles, publishing and unsupported features\"><figcaption>Eight cards laid out on the canvas, seven of the fifteen slots still free. The marker at fifteen is where a standard property stops and a premium one carries on to thirty.<\/figcaption><\/figure>\n<h2>Six card types, and what each is built for<\/h2>\n<p>The canvas takes six kinds of card, and the list is short enough to hold in mind while planning a page.<\/p>\n\n\n<figure style=\"--cbb-digits:2\" class=\"cbb cbb--wrap cbb--numbers wp-block-code-beautifier-block-code\" data-lang=\"plain\"><figcaption class=\"cbb-head\"><span class=\"cbb-lang\">Text<\/span><span class=\"cbb-actions\"><button type=\"button\" class=\"cbb-button cbb-button--wrap\" data-cbb-action=\"wrap\" aria-pressed=\"true\" title=\"Wrap long lines\"><svg aria-hidden=\"true\" focusable=\"false\" width=\"16\" height=\"16\" viewBox=\"0 0 16 16\"><path d=\"M2 4h12M2 8h9.5a2.5 2.5 0 0 1 0 5H8m0 0 1.5-1.5M8 13l1.5 1.5M2 12h3\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><span class=\"cbb-sr\">Wrap long lines<\/span><\/button><button type=\"button\" class=\"cbb-button cbb-button--copy\" data-cbb-action=\"copy\" data-cbb-done=\"Copied\" data-cbb-failed=\"Press Ctrl+C to copy\"><svg aria-hidden=\"true\" focusable=\"false\" width=\"16\" height=\"16\" viewBox=\"0 0 16 16\"><rect x=\"5.5\" y=\"5.5\" width=\"8\" height=\"8.5\" rx=\"1.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\"\/><path d=\"M10.5 3.5V3A1.5 1.5 0 0 0 9 1.5H4A1.5 1.5 0 0 0 2.5 3v6.5A1.5 1.5 0 0 0 4 11h.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\"\/><\/svg><span class=\"cbb-button-label\" aria-live=\"polite\">Copy<\/span><\/button><\/span><\/figcaption><pre class=\"cbb-pre\" tabindex=\"0\"><code class=\"cbb-code language-plain\" style=\"counter-reset:cbb-line 0;\"><span class=\"cbb-line\">Score card    a single KPI, with the percentage change\n<\/span><span class=\"cbb-line\">              shown when a date comparison is applied\n<\/span><span class=\"cbb-line\">\n<\/span><span class=\"cbb-line\">Table chart   rows of detail, with shaded bar graphs\n<\/span><span class=\"cbb-line\">              inside the cells and pagination\n<\/span><span class=\"cbb-line\">\n<\/span><span class=\"cbb-line\">Line chart    a metric over time, at daily, weekly\n<\/span><span class=\"cbb-line\">              or monthly granularity\n<\/span><span class=\"cbb-line\">\n<\/span><span class=\"cbb-line\">Bar chart     dimensions compared, horizontally\n<\/span><span class=\"cbb-line\">              or vertically\n<\/span><span class=\"cbb-line\">\n<\/span><span class=\"cbb-line\">Donut chart   parts against a whole\n<\/span><span class=\"cbb-line\">\n<\/span><span class=\"cbb-line\">Funnel chart  conversion steps, and where the\n<\/span><span class=\"cbb-line\">              drop-off happens<\/span><\/code><\/pre><\/figure>\n\n\n<p>The grid does the rest: cards are placed by hand, aligned and resized, so a page can be arranged the way it will be read rather than in the order the questions were asked.<\/p>\n<h2>Fifteen cards, thirty on premium<\/h2>\n<p>A standard property allows a maximum of 15 cards per dashboard; a premium property, meaning the paid tier, allows up to 30. That is a firm number and it shapes the planning more than any of the visual options do.<\/p>\n<p>Fifteen sounds generous until a page has a row of score cards across the top. Four of those plus a line chart and a table already spend six, and a second section for a different channel spends six more. The practical consequence is one dashboard per audience rather than one dashboard for the whole business, which also matches how the pages get read: nobody scrolls a shared page looking for the three cards that concern them.<\/p>\n<h2>Three absences, and what each rules out<\/h2>\n<p>The documentation names three things as not supported at present: API support, segments, and card-level comparisons. Each one closes off a different kind of use.<\/p>\n<p><strong>No API<\/strong> means nothing downstream can read the dashboard. There is no scheduled export, no copy landing in a warehouse, no second system rendering the same cards. Whatever is on the page exists only on the page, and any figure that has to travel needs a different route out of Analytics.<\/p>\n<p><strong>No segments<\/strong> means every card sees the property as a whole. Two audiences side by side has to be built out of dimensions instead: two bar charts filtered by a dimension value rather than one chart split by a segment. For anything where the population itself is the question, this is the limit that bites first.<\/p>\n<p><strong>No card-level comparisons<\/strong> means one date setting governs the whole page. Comparison is not gone \u2014 a date comparison makes the score cards show their percentage change \u2014 but it applies everywhere at once. A page that needs last week on one card and last year on another cannot be built here.<\/p>\n<figure class=\"lw-illu\">\n<img decoding=\"async\" src=\"https:\/\/www.lukaswojcik.com\/blog\/wp-content\/uploads\/illustrationen\/illu-ga4-dashboard.webp\" width=\"1120\" height=\"580\" loading=\"lazy\" alt=\"Tiles of different sizes packed above a firm line; three empty outlined squares stay beyond it\"><br \/>\n<\/figure>\n<h2>Publishing has exactly one size<\/h2>\n<p>Creating and publishing a dashboard requires Editor or Administrator rights on the property. Viewing requires nothing beyond access to the property itself: anyone who can open it sees every dashboard that has been published.<\/p>\n<p>And every published dashboard is shared with the property. There is no personal dashboard, no draft visible to one team, no publication to a subset. The left navigation of Reports is a shared surface, and each publication adds a row that everybody sees.<\/p>\n<p>On a property with several agencies or several internal teams that turns naming into a real decision rather than a nicety. The habit worth adopting on day one is a prefix per owner and a review of the list at some fixed interval, because the navigation only grows on its own.<\/p>\n<h2>Where it sits next to what already exists<\/h2>\n<p>Standard reports answer a fixed set of questions and cannot be rearranged. Explorations answer open questions and bring segments, free-form techniques and per-exploration comparisons. The dashboard is the flat layer between the two: fixed like a report, arranged like an exploration, and permanently visible in the navigation.<\/p>\n<p>Which makes the replacement question narrow and answerable. A Looker Studio page that only ever read GA4, only ever got looked at, and only ever used one date range is better off inside Analytics, with one fewer connection to break and one fewer tool to hold rights in.<\/p>\n<p>A page that blends GA4 with Ads cost data or a spreadsheet, that goes to somebody without property access, that gets mailed on a schedule, or that carries more than fifteen cards, stays where it is. The test is short enough to run in a minute, and it is the whole decision.<\/p>\n<div class=\"lw-faq\">\n<h2>Questions and answers<\/h2>\n<h3>How can two audiences be compared without segments, and where does that substitute end?<\/h3>\n<p>Through dimensions, as the article says, and that goes further than it first sounds. Anything that can be expressed as the value of a dimension will do: device category, country, channel group, new versus returning users. Behaviour can be moved there too if it is set as a user property and registered as a user-scoped custom dimension, such as a customer status set at the first purchase.<\/p>\n<p>The limit lies where the group is defined by its history: everyone who submitted a form last month, or every session in which two particular events occurred. A dimension filter checks a value, a segment checks a condition across the history of users or sessions, and for such questions the exploration remains the tool. A user property also helps only from the day it is set; it fills in nothing retroactively.<\/p>\n<p>Then there is the card limit. Every split doubles the cards: four score cards for two groups are eight cards, more than half of a standard property\u2019s fifteen, before a single chart is on the page.<\/p>\n<h3>Is a premium property worth it for the thirty cards?<\/h3>\n<p>Not for the card count alone. The limit applies per dashboard, not per property, and splitting into one dashboard per audience, which the article suggests anyway, solves the same problem without moving to the paid tier.<\/p>\n<\/div>\n<div class=\"lw-quellen\">\n<h2>Sources<\/h2>\n<ul>\n<li><a href=\"https:\/\/developers.google.com\/analytics\/devguides\/collection\/ga4\" target=\"_blank\" rel=\"noopener noreferrer\">Google Analytics 4 developer guide<\/a><\/li>\n<\/ul>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>A + Create button at the top of the Reports navigation opens a grid canvas with six card types on it. Three things it does not do decide whether it replaces an existing report, and publishing is property-wide with no smaller option.<\/p>\n","protected":false},"author":1,"featured_media":14163,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[91386,91258,91252],"class_list":["post-14151","post","type-post","status-publish","format-standard","hentry","category-digital-analytics","tag-marketing-cyfrowy-pl","tag-google-analytics-4","tag-web-analytics"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The GA4 Dashboard: Six Card Types, a 15-Card Limit and No Segments | Lukas Wojcik<\/title>\n<meta name=\"description\" content=\"The GA4 dashboard: six card types on a grid canvas, 15 cards on standard properties and 30 on premium, and no API or segments.\" \/>\n<meta name=\"robots\" content=\"index, follow, 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