{"id":9583,"date":"2026-05-24T12:05:59","date_gmt":"2026-05-24T10:05:59","guid":{"rendered":"https:\/\/www.htt.it\/?p=9583"},"modified":"2026-05-24T14:14:40","modified_gmt":"2026-05-24T12:14:40","slug":"data-studio-marketing-dashboard-guide","status":"publish","type":"post","link":"https:\/\/www.htt.it\/en\/data-studio-marketing-dashboard-guide\/","title":{"rendered":"Data Studio: dashboard for marketing"},"content":{"rendered":"\n\n<!-- SECTION -->\n<section  class=\"   whitesection\" style=\"\">\n    <div class=\"testo-colonna-centrale htt-generic-text\">\n        <div class=\"htt-container\">\n                    <\/div>\n    <\/div>\n<\/section>\n\n\n\n\n<!-- SECTION -->\n<section  class=\"   whitesection\" style=\"\">\n    <div class=\"testo-colonna-centrale htt-generic-text\">\n        <div class=\"htt-container\">\n            <article class=\"htt-article htt-article--data-studio\" role=\"article\" lang=\"en\" aria-labelledby=\"data-studio-title\">\n<header class=\"htt-article__header\" aria-labelledby=\"data-studio-title\">\n<p class=\"htt-article__eyebrow\" aria-label=\"Article category\">Web Analytics &amp; Data Visualization<\/p>\n<h2 id=\"data-studio-title\" class=\"htt-article__title\">\n      Data Studio (formerly Looker Studio): how to build marketing dashboards that support decision-making<br \/>\n    <\/h2>\n<p class=\"htt-article__subtitle\">\n      In April 2026 Google renamed Looker Studio back to Data Studio, returning to the original name after three years of confusion. But beyond the name, the platform has become much more powerful.<br \/>\n      This is the practical guide to using it properly, written by people who use it every day.\n    <\/p>\n<p>\n  This guide comes directly from HT&amp;T Consulting\u2019s experience, a Google Marketing Platform certified agency and one of the few Italian partners listed in Google\u2019s official partner portal.\n<\/p>\n<\/header>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.htt.it\/wp-content\/uploads\/2026\/05\/ufficio-con-dashboard-data-studio-1024x572.webp\" alt=\"Advanced marketing dashboard with GA4 data, advertising KPIs, SEO and analytics\" width=\"1024\" height=\"572\" class=\"aligncenter size-large wp-image-9563\" srcset=\"https:\/\/www.htt.it\/wp-content\/uploads\/2026\/05\/ufficio-con-dashboard-data-studio-1024x572.webp 1024w, https:\/\/www.htt.it\/wp-content\/uploads\/2026\/05\/ufficio-con-dashboard-data-studio-300x167.webp 300w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<section class=\"htt-article__answer\" aria-labelledby=\"answer-first-ds\">\n<h2 id=\"answer-first-ds\">In short<\/h2>\n<p>\n      <strong>Data Studio<\/strong> (previously Looker Studio, and before that Google Data Studio) is Google\u2019s free platform for building marketing dashboards and reports connected to GA4, Google Ads, Search Console, Meta Ads, spreadsheets and more than 800 data sources.<br \/>\n      A well-designed dashboard answers one single question: <em>what should I do now?<\/em> It is not a collection of charts but <strong>a decision-making system<\/strong>. This guide explains how to build it starting from business goals rather than tools.\n    <\/p>\n<\/section>\n<nav class=\"htt-article__toc\" aria-label=\"Table of contents\">\n<p class=\"htt-article__toc-title\">Contents<\/p>\n<ol>\n<li><a href=\"#rebranding\">Data Studio: the return of the original name<\/a><\/li>\n<li><a href=\"#perche-dashboard\">Why most dashboards fail<\/a><\/li>\n<li><a href=\"#connettori\">Connectors and data sources: what should you connect?<\/a><\/li>\n<li><a href=\"#dashboard-seo\">SEO and organic dashboards<\/a><\/li>\n<li><a href=\"#dashboard-ads\">Google Ads and Meta Ads campaign dashboards<\/a><\/li>\n<li><a href=\"#dashboard-ecommerce\">GA4 ecommerce dashboards<\/a><\/li>\n<li><a href=\"#dashboard-b2b\">B2B lead generation dashboards<\/a><\/li>\n<li><a href=\"#best-practice\">Design and readability best practices<\/a><\/li>\n<li><a href=\"#errori\">Common marketing dashboard mistakes<\/a><\/li>\n<li><a href=\"#non-tecnico\">Not an analyst? What to check<\/a><\/li>\n<li><a href=\"#faq-data-studio\">Frequently asked questions<\/a><\/li>\n<li><a href=\"#checklist-ds\">Checklist<\/a><\/li>\n<\/ol>\n<\/nav>\n<p>  <!-- STATS --><\/p>\n<section class=\"htt-article__stats\" aria-labelledby=\"stats-ds-title\">\n<h2 id=\"stats-ds-title\" class=\"htt-article__stats-title\">Data Studio and marketing reporting: the numbers<\/h2>\n<div class=\"htt-stats-grid\" role=\"list\">\n<div class=\"htt-stat-card htt-stat-card--dark\" role=\"listitem\">\n<div class=\"htt-stat-card__number\">74<span>%<\/span><\/div>\n<div class=\"htt-stat-card__label\">of marketers say they make decisions based on incomplete or outdated data<\/div>\n<div class=\"htt-stat-card__source\">Gartner Marketing Survey, 2025<\/div>\n<\/p><\/div>\n<div class=\"htt-stat-card\" role=\"listitem\">\n<div class=\"htt-stat-card__number\">6+<\/div>\n<div class=\"htt-stat-card__label\">hours per week wasted on average by marketing teams manually collecting reporting data<\/div>\n<div class=\"htt-stat-card__source\">HubSpot State of Marketing, 2025<\/div>\n<\/p><\/div>\n<div class=\"htt-stat-card\" role=\"listitem\">\n<div class=\"htt-stat-card__number\">800<span>+<\/span><\/div>\n<div class=\"htt-stat-card__label\">connectors available in Data Studio to combine multiple data sources into one dashboard<\/div>\n<div class=\"htt-stat-card__source\">Google Data Studio Connector Gallery, 2026<\/div>\n<\/p><\/div>\n<div class=\"htt-stat-card\" role=\"listitem\">\n<div class=\"htt-stat-card__number\">\u221270<span>%<\/span><\/div>\n<div class=\"htt-stat-card__label\">time spent on reporting after implementing automated Data Studio dashboards<\/div>\n<div class=\"htt-stat-card__source\">Internal HT&amp;T client dashboard analysis<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<p>  <!-- SECTION 1 --><\/p>\n<section class=\"htt-article__section\" id=\"rebranding\" aria-labelledby=\"rebranding-title\">\n<h2 id=\"rebranding-title\">Data Studio: the return of the original name<\/h2>\n<p>\n      Before diving into the practical guide, it is worth clarifying the naming situation because it creates confusion and will continue to do so for months.\n    <\/p>\n<p>\n      On April 10, 2026 Google announced the return to the name <strong>Data Studio<\/strong>, abandoning <strong>Looker Studio<\/strong> after three and a half years. The rebrand officially became effective on April 16, 2026. The paid version is now called <strong>Data Studio Pro<\/strong> (formerly Looker Studio Pro).\n    <\/p>\n<p>\n      The official reason is the need to clearly separate two products designed for different audiences: Data Studio for self-service reporting (marketing teams, analysts, SMEs) and Looker for enterprise Business Intelligence (data engineers and large organizations).<br \/>\n      Sharing the same \u201cLooker\u201d name created confusion about which platform was intended for whom.\n    <\/p>\n<aside class=\"htt-article__note\" role=\"note\" aria-label=\"Practical note about the rebranding\">\n<p>\n        If you already have existing Looker Studio reports, you do not need to do anything.<br \/>\n        All reports, data sources and permissions migrate automatically.<br \/>\n        Existing links continue to work \u2014 only the UI name has changed.\n      <\/p>\n<\/aside>\n<p>\n      In this article we use Data Studio as the primary name, while still referencing Looker Studio where necessary for clarity, because most online content still uses the previous name and both terms will remain in circulation for a long time.\n    <\/p>\n<\/section>\n<p>  <!-- SECTION 2 --><\/p>\n<section class=\"htt-article__section\" id=\"perche-dashboard\" aria-labelledby=\"perche-title\">\n<h2 id=\"perche-title\">Why most dashboards fail<\/h2>\n<p>\n      The average marketing dashboard is an accumulation of charts.<br \/>\n      There is the sessions chart, the conversions chart, bounce rate, Google Ads impressions, social media followers \u2014 all on one page, all updated in real time. <strong>And nobody knows what to do with it<\/strong>.\n    <\/p>\n<p>\n      The problem is not the tool but the approach.<br \/>\n      A dashboard built around available data instead of business questions inevitably produces the same outcome: lots of numbers, very few answers.\n    <\/p>\n<aside class=\"htt-article__note\" role=\"note\" aria-label=\"Core principle\">\n<p>\n        An effective dashboard answers specific questions instead of displaying every available metric.<br \/>\n        Before opening Data Studio, write down the three questions your report must answer.<br \/>\n        If you cannot write them, the dashboard is useless.\n      <\/p>\n<\/aside>\n<p>\n      The right questions depend on the role of the person reading the report.<br \/>\n      A <strong>CEO<\/strong> wants to know whether the business is growing and where budget is being wasted.<br \/>\n      A <strong>marketing manager<\/strong> wants to know which channels generate qualified leads.<br \/>\n      A <strong>paid specialist<\/strong> wants to know which campaign delivers the highest ROAS.<br \/>\n      These are three different dashboards \u2014 or at least three different pages within the same dashboard.\n    <\/p>\n<blockquote class=\"htt-quote\" aria-label=\"Quote about effective dashboards\">\n<p class=\"htt-quote__text\">\n        The perfect dashboard does not exist \u2014 only the right dashboard for the person making decisions.<br \/>\n        A report that works for a paid specialist is incomprehensible for a CEO, and vice versa.<br \/>\n        The first mistake is building a dashboard for everyone.\n      <\/p>\n<footer class=\"htt-quote__author\">\n        <span class=\"htt-quote__name\">Giacomo Boldrini, HT&amp;T Consulting<\/span><br \/>\n        <span class=\"htt-quote__role\">Web Analytics &amp; Data Specialist<\/span><br \/>\n      <\/footer>\n<\/blockquote>\n<p>\n      This principle is the same one behind our approach to <a href=\"https:\/\/www.htt.it\/en\/data-visualization-simplify-data-accelerate-decisions\/\"\n         aria-label=\"Read the guide about business data visualization\">business data visualization<\/a>: simplifying data to accelerate decisions, not adding visual complexity.\n    <\/p>\n<\/section>\n<p>  <!-- SECTION 3 --><\/p>\n<section class=\"htt-article__section\" id=\"connettori\" aria-labelledby=\"connettori-title\">\n<h2 id=\"connettori-title\">Connectors and data sources: what should you connect?<\/h2>\n<p>\n      Data Studio connects to more than 800 data sources through native and third-party connectors.<br \/>\n      Native Google connectors are free and can be configured in just a few clicks.<br \/>\n      Third-party connectors (such as Supermetrics for Meta Ads, TikTok and LinkedIn) often require an additional license.\n    <\/p>\n<div class=\"htt-table-wrap\" role=\"region\" aria-labelledby=\"connettori-table-title\" tabindex=\"0\">\n<h3 id=\"connettori-table-title\">Most useful connectors for marketing<\/h3>\n<table class=\"htt-table\">\n<thead>\n<tr>\n<th scope=\"col\">Source<\/th>\n<th scope=\"col\">Connector<\/th>\n<th scope=\"col\">What it provides<\/th>\n<th scope=\"col\">Cost<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>GA4<\/strong><\/td>\n<td>Native Google connector<\/td>\n<td>Sessions, conversions, ecommerce, events, audiences<\/td>\n<td>Free<\/td>\n<\/tr>\n<tr>\n<td><strong>Google Ads<\/strong><\/td>\n<td>Native Google connector<\/td>\n<td>Clicks, impressions, costs, conversions, campaign ROAS<\/td>\n<td>Free<\/td>\n<\/tr>\n<tr>\n<td><strong>Search Console<\/strong><\/td>\n<td>Native Google connector<\/td>\n<td>Clicks, impressions, CTR, average position by query and page<\/td>\n<td>Free<\/td>\n<\/tr>\n<tr>\n<td><strong>Google Sheets<\/strong><\/td>\n<td>Native Google connector<\/td>\n<td>Manual data, targets, budgets, exported CRM data<\/td>\n<td>Free<\/td>\n<\/tr>\n<tr>\n<td><strong>BigQuery<\/strong><\/td>\n<td>Native Google connector<\/td>\n<td>Warehouse data, custom SQL queries, historical datasets<\/td>\n<td>Free (BigQuery costs separate)<\/td>\n<\/tr>\n<tr>\n<td><strong>Meta Ads<\/strong><\/td>\n<td>Supermetrics \/ third-party<\/td>\n<td>Facebook and Instagram campaigns, CPL, ROAS, reach<\/td>\n<td>Paid<\/td>\n<\/tr>\n<tr>\n<td><strong>LinkedIn Ads<\/strong><\/td>\n<td>Supermetrics \/ third-party<\/td>\n<td>B2B campaigns, lead form performance, cost per lead<\/td>\n<td>Paid<\/td>\n<\/tr>\n<tr>\n<td><strong>HubSpot \/ Salesforce<\/strong><\/td>\n<td>Certified connectors<\/td>\n<td>CRM pipeline, won\/lost deals, lead quality, revenue<\/td>\n<td>Paid<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n<p>\n      For teams using Supermetrics to aggregate multi-channel data inside Data Studio,<br \/>\n      we published a detailed guide on how to <a href=\"https:\/\/www.htt.it\/en\/n8n-supermetrics-marketing-automation\/\"\n         aria-label=\"Read the guide about n8n and Supermetrics\">automate data flows with n8n and Supermetrics<\/a>, reducing manual collection and normalization work even further.\n    <\/p>\n<\/section>\n<p>  <!-- SECTION 4 --><\/p>\n<section class=\"htt-article__section\" id=\"dashboard-seo\" aria-labelledby=\"dashboard-seo-title\">\n<h2 id=\"dashboard-seo-title\">SEO and organic dashboards: the metrics that matter<\/h2>\n<p>\n      An effective SEO dashboard in Data Studio answers three fundamental questions:\n    <\/p>\n<ul>\n<li>Is organic traffic growing?<\/li>\n<li>Which pages and queries generate traffic?<\/li>\n<li>Where are the opportunities we can act on immediately?<\/li>\n<\/ul>\n<section class=\"htt-article__subsection\" aria-labelledby=\"seo-metriche-title\">\n<h3 id=\"seo-metriche-title\">Core metrics to include<\/h3>\n<ul>\n<li><strong>Total clicks and impressions<\/strong> from Search Console, with weekly trend and previous-period comparison<\/li>\n<li><strong>Average CTR<\/strong> \u2014 a low CTR with high rankings usually signals a title or meta description problem<\/li>\n<li><strong>Average ranking position<\/strong> by page, useful to identify high-volume pages ranking between positions 4 and 10 (quick wins)<\/li>\n<li><strong>Top 10 queries by impressions<\/strong>, with CTR analysis to identify untapped visibility<\/li>\n<li><strong>Top organic landing pages<\/strong> from GA4, including conversion rate analysis<\/li>\n<li><strong>Channel trend comparison<\/strong>, organic vs direct vs referral<\/li>\n<\/ul>\n<\/section>\n<aside class=\"htt-article__note\" role=\"note\">\n<p>\n        The Search Console + GA4 combination inside Data Studio is the most powerful setup for SEO.<br \/>\n        Search Console shows what happens inside the SERP, while GA4 shows what happens on the website after the click.<br \/>\n        Without both, the picture remains incomplete.<br \/>\n        We covered proper GA4 implementation in depth in our guide to <a href=\"https:\/\/www.htt.it\/en\/ga4-ecommerce-setup-events-conversions-server-side-tracking\/\"\n           aria-label=\"Read the GA4 guide\">GA4 for ecommerce: events, conversions and the data that matters<\/a>.\n      <\/p>\n<\/aside>\n<\/section>\n<p>  <!-- SECTION 5 --><\/p>\n<section class=\"htt-article__section\" id=\"dashboard-ads\" aria-labelledby=\"dashboard-ads-title\">\n<h2 id=\"dashboard-ads-title\">Google Ads and Meta Ads campaign dashboards<\/h2>\n<p>\n      Advertising dashboards are the most likely to become overloaded with metrics.<br \/>\n      ROAS, CPA, CPL, CTR, impressions, frequency, quality score \u2014 everything looks important.<br \/>\n      The real rule is selecting the metrics that change decisions, not the ones that simply confirm what you already know.\n    <\/p>\n<section class=\"htt-article__subsection\" aria-labelledby=\"ads-metriche-title\">\n<h3 id=\"ads-metriche-title\">Recommended structure for an advertising dashboard<\/h3>\n<div class=\"htt-dashboard-blueprint\" role=\"list\" aria-label=\"Advertising dashboard structure\">\n<article class=\"htt-dashboard-step\" role=\"listitem\">\n      <span class=\"htt-dashboard-step__eyebrow\">Section 1<\/span><\/p>\n<h4>Budget and performance overview<\/h4>\n<ul>\n<li>Total spend vs planned budget, with alerts when thresholds are exceeded<\/li>\n<li>Overall and channel-level ROAS compared against targets<\/li>\n<li>Total conversions and cost per conversion on weekly trends<\/li>\n<\/ul>\n<\/article>\n<article class=\"htt-dashboard-step\" role=\"listitem\">\n      <span class=\"htt-dashboard-step__eyebrow\">Section 2<\/span><\/p>\n<h4>Campaign performance<\/h4>\n<ul>\n<li>Campaigns sorted by spend, ROAS, conversions and CPA<\/li>\n<li>Underperforming campaigns highlighted for immediate action<\/li>\n<li>Learning-phase campaigns separated to avoid premature optimization<\/li>\n<\/ul>\n<\/article>\n<article class=\"htt-dashboard-step\" role=\"listitem\">\n      <span class=\"htt-dashboard-step__eyebrow\">Section 3<\/span><\/p>\n<h4>Traffic quality<\/h4>\n<ul>\n<li>Campaign CTR to identify targeting or creative issues<\/li>\n<li>Meta Ads frequency monitoring to detect audience saturation<\/li>\n<li>Post-click conversion rate comparison across channels<\/li>\n<\/ul>\n<\/article><\/div>\n<\/section>\n<p>\n      This structure directly connects to the optimization logic we describe in our guides to <a href=\"https:\/\/www.htt.it\/en\/google-ads-ecommerce-shopping-performance-max\/\"\n         aria-label=\"Read the Google Ads ecommerce guide\">Google Ads for ecommerce<\/a> and <a href=\"https:\/\/www.htt.it\/en\/meta-ads-b2b-lead-generation-facebook-instagram\/\"\n         aria-label=\"Read the Meta Ads B2B guide\">Meta Ads B2B<\/a>: the dashboard is the operational layer that makes those strategies actionable.\n    <\/p>\n<blockquote class=\"htt-quote\" aria-label=\"Quote about advertising dashboards\">\n<p class=\"htt-quote__text\">\n        An advertising dashboard that does not display campaign-level ROAS and target comparison is useless.<br \/>\n        One that shows it with a visual traffic-light system \u2014 green above target and red below \u2014 saves 20 minutes of analysis every review cycle.\n      <\/p>\n<footer class=\"htt-quote__author\">\n        <span class=\"htt-quote__name\">Emma Taddei, HT&amp;T Consulting<\/span><br \/>\n        <span class=\"htt-quote__role\">Performance Marketing Specialist<\/span><br \/>\n      <\/footer>\n<\/blockquote>\n<\/section>\n<p>  <!-- SECTION 6 --><\/p>\n<section class=\"htt-article__section\" id=\"dashboard-ecommerce\" aria-labelledby=\"dashboard-ecom-title\">\n<h2 id=\"dashboard-ecom-title\">GA4 ecommerce dashboards<\/h2>\n<p>\n    For ecommerce businesses, the most important Data Studio dashboard is the one that visualizes the complete purchase funnel, from impression to transaction, including conversion rates for every step and revenue by channel and product category.\n  <\/p>\n<div class=\"htt-ecom-flow\" aria-label=\"GA4 ecommerce funnel\">\n<p class=\"htt-ecom-flow__label\">Recommended GA4 funnel<\/p>\n<ol>\n<li><span>01<\/span><code>view_item<\/code><small>product view<\/small><\/li>\n<li><span>02<\/span><code>add_to_cart<\/code><small>cart addition<\/small><\/li>\n<li><span>03<\/span><code>begin_checkout<\/code><small>checkout started<\/small><\/li>\n<li><span>04<\/span><code>purchase<\/code><small>completed purchase<\/small><\/li>\n<\/ol>\n<\/div>\n<div class=\"htt-ecom-reports\" role=\"list\" aria-label=\"Recommended ecommerce reports\">\n<article class=\"htt-ecom-report\" role=\"listitem\" aria-labelledby=\"ecom-report1-title\">\n      <span class=\"htt-ecom-report__badge\">Report 1<\/span><\/p>\n<h3 id=\"ecom-report1-title\">Purchase funnel<\/h3>\n<p>\n        Visualize the <code>view_item \u2192 add_to_cart \u2192 begin_checkout \u2192 purchase<\/code> journey with the transition rate between every step.<br \/>\n        This helps identify exactly where the largest number of users is lost.\n      <\/p>\n<ul>\n<li><strong>Segmentation:<\/strong> device, acquisition channel, product category<\/li>\n<li><strong>Alert:<\/strong> drop in the begin_checkout \u2192 purchase rate below the historical threshold<\/li>\n<\/ul>\n<\/article>\n<article class=\"htt-ecom-report\" role=\"listitem\" aria-labelledby=\"ecom-report2-title\">\n      <span class=\"htt-ecom-report__badge\">Report 2<\/span><\/p>\n<h3 id=\"ecom-report2-title\">Revenue by channel and product<\/h3>\n<p>\n        Displays revenue generated by acquisition channel and product category, compared against the previous period.<br \/>\n        This is the report that answers the question:<br \/>\n        \u201cwhere does our digital revenue come from?\u201d.\n      <\/p>\n<\/article>\n<article class=\"htt-ecom-report\" role=\"listitem\" aria-labelledby=\"ecom-report3-title\">\n      <span class=\"htt-ecom-report__badge\">Report 3<\/span><\/p>\n<h3 id=\"ecom-report3-title\">Data-driven attribution<\/h3>\n<p>\n        Uses GA4\u2019s data-driven attribution model to show the actual contribution of each channel to conversions, moving beyond last-click logic.\n      <\/p>\n<p class=\"htt-ecom-report__warning\">\n        Avoid ecommerce dashboards based only on last-click attribution:<br \/>\n        they systematically underestimate upper-funnel channels such as organic, display and social.\n      <\/p>\n<\/article><\/div>\n<\/section>\n<p>  <!-- SECTION 7 --><\/p>\n<section class=\"htt-article__section\" id=\"dashboard-b2b\" aria-labelledby=\"dashboard-b2b-title\">\n<h2 id=\"dashboard-b2b-title\">B2B lead generation dashboards<\/h2>\n<p>\n      In B2B, the most critical dashboard is not the traffic dashboard but the one connecting leads generated by digital channels to opportunities inside the CRM.<br \/>\n      Without this connection, you can measure CPL but not actual customer acquisition cost.\n    <\/p>\n<ul>\n<li><strong>Total leads by channel<\/strong> \u2014 Google Ads, Meta Ads, LinkedIn, organic, email<\/li>\n<li><strong>CPL by channel<\/strong>, compared against targets and monthly trends<\/li>\n<li><strong>Lead \u2192 MQL rate<\/strong>, percentage of leads becoming marketing-qualified<\/li>\n<li><strong>MQL \u2192 SQL rate<\/strong>, percentage passed to the sales team<\/li>\n<li><strong>Pipeline generated by channel<\/strong>, potential revenue from open opportunities<\/li>\n<li><strong>Average lead \u2192 first contact time<\/strong>, where high response times usually indicate follow-up issues<\/li>\n<\/ul>\n<p>\n      This dashboard requires integration between Data Studio and the company CRM (HubSpot, Salesforce or others) through certified connectors or Google Sheets as an intermediate layer.<br \/>\n      The logic is the same as the one described in our guide to <a href=\"https:\/\/www.htt.it\/en\/marketing-automation-what-it-is-how-it-works-best-tools\/\"\n         aria-label=\"Read the marketing automation guide\">marketing automation<\/a>: data should flow automatically, not be copied manually.\n    <\/p>\n<\/section>\n<p>  <!-- SECTION 8 --><\/p>\n<section class=\"htt-article__section\" id=\"best-practice\" aria-labelledby=\"best-practice-title\">\n<h2 id=\"best-practice-title\">Design and readability best practices<\/h2>\n<p>\n      A technically correct dashboard that looks visually chaotic will never be used.<br \/>\n      These are the design principles that separate dashboards opened every morning from dashboards everyone ignores.\n    <\/p>\n<section class=\"htt-article__subsection\" aria-labelledby=\"bp1-title\">\n<h3 id=\"bp1-title\">Clear visual hierarchy<\/h3>\n<p>\n        The most important KPIs belong in the top-left corner because that is where the eye naturally starts.<br \/>\n        Use large scorecards for key metrics and smaller charts for supporting details.<br \/>\n        Do not place more than 3\u20134 elements in the first row.\n      <\/p>\n<\/section>\n<section class=\"htt-article__subsection\" aria-labelledby=\"bp2-title\">\n<h3 id=\"bp2-title\">Always include comparison<\/h3>\n<p>\n        A number without comparison means nothing.<br \/>\n        <em>Is 1,234 sessions good or bad?<\/em><br \/>\n        It depends on last week, last month, or the same period last year.<br \/>\n        Every key metric <strong>must include a delta versus the previous period<\/strong>.\n      <\/p>\n<\/section>\n<section class=\"htt-article__subsection\" aria-labelledby=\"bp3-title\">\n<h3 id=\"bp3-title\">Interactive filters and controls<\/h3>\n<p>\n        <strong>Add filters<\/strong> for date range, channel, device and campaign.<br \/>\n        A dashboard without filters forces users back into Data Studio every time they need a different analysis.<br \/>\n        Filters transform a static dashboard into an exploration tool.\n      <\/p>\n<\/section>\n<section class=\"htt-article__subsection\" aria-labelledby=\"bp4-title\">\n<h3 id=\"bp4-title\">One page per audience<\/h3>\n<p>\n        Use Data Studio\u2019s multiple-page structure to separate views by audience:<br \/>\n        page 1 for management (overview, revenue, trends),<br \/>\n        page 2 for marketing (channels, campaigns, content),<br \/>\n        page 3 for paid specialists (campaigns, ad sets, creatives).<br \/>\n        Each person opens the page they actually need.\n      <\/p>\n<\/section>\n<section class=\"htt-article__subsection\" aria-labelledby=\"bp5-title\">\n<h3 id=\"bp5-title\">Consistent and functional color palette<\/h3>\n<p>\n        Use green for above-target results, red for underperforming metrics and grey for neutral states.<br \/>\n        Never use colors as decoration: every color should communicate meaning.<br \/>\n        A red scorecard immediately signals \u201cpay attention here\u201d without anyone even reading the value.\n      <\/p>\n<\/section>\n<\/section>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.htt.it\/wp-content\/uploads\/2026\/05\/data-studio-dai-dati-alle-decisioni-683x1024.webp\" alt=\"infographic explaining how to use Google Data Studio correctly\" width=\"683\" height=\"1024\" class=\"aligncenter size-large wp-image-9558\" srcset=\"https:\/\/www.htt.it\/wp-content\/uploads\/2026\/05\/data-studio-dai-dati-alle-decisioni-683x1024.webp 683w, https:\/\/www.htt.it\/wp-content\/uploads\/2026\/05\/data-studio-dai-dati-alle-decisioni-200x300.webp 200w, https:\/\/www.htt.it\/wp-content\/uploads\/2026\/05\/data-studio-dai-dati-alle-decisioni.webp 1024w\" sizes=\"auto, (max-width: 683px) 100vw, 683px\" \/><\/p>\n<section class=\"htt-article__section\" id=\"errori\" aria-labelledby=\"errori-ds-title\">\n<h2 id=\"errori-ds-title\">Common marketing dashboard mistakes<\/h2>\n<div class=\"htt-errors-grid\">\n<article class=\"htt-error-card\" aria-labelledby=\"errore-ds-1\">\n<div class=\"htt-error-card__badge\">01<\/div>\n<h3 id=\"errore-ds-1\">Too many charts, no answers<\/h3>\n<p>\n      A dashboard with 20 charts and 40 metrics is not comprehensive \u2014 it is useless.<br \/>\n      Every additional chart reduces attention on what actually matters.<br \/>\n      If you cannot explain in one sentence why a chart exists, remove it.\n    <\/p>\n<\/article>\n<article class=\"htt-error-card\" aria-labelledby=\"errore-ds-2\">\n<div class=\"htt-error-card__badge\">02<\/div>\n<h3 id=\"errore-ds-2\">Misaligned data sources<\/h3>\n<p>\n      Combining GA4 sessions with Google Ads clicks without understanding the difference leads to incorrect comparisons.<br \/>\n      Sessions and clicks are not the same thing.\n    <\/p>\n<\/article>\n<article class=\"htt-error-card\" aria-labelledby=\"errore-ds-3\">\n<div class=\"htt-error-card__badge\">03<\/div>\n<h3 id=\"errore-ds-3\">No time comparison<\/h3>\n<p>\n      A dashboard without comparison to previous periods makes it impossible to understand whether performance is improving or declining.\n    <\/p>\n<\/article>\n<article class=\"htt-error-card\" aria-labelledby=\"errore-ds-4\">\n<div class=\"htt-error-card__badge\">04<\/div>\n<h3 id=\"errore-ds-4\">Dashboard not shared<\/h3>\n<p>\n      A dashboard that only exists on the creator\u2019s computer is not a business tool \u2014 it is a personal file.\n    <\/p>\n<\/article>\n<article class=\"htt-error-card\" aria-labelledby=\"errore-ds-5\">\n<div class=\"htt-error-card__badge\">05<\/div>\n<h3 id=\"errore-ds-5\">Dashboard never updated<\/h3>\n<p>\n      If goals and KPIs change, the dashboard must change as well.<br \/>\n      An outdated dashboard leads to bad decisions.\n    <\/p>\n<\/article>\n<\/div>\n<p>  <!-- SECTION 10 --><\/p>\n<section class=\"htt-article__section\" id=\"non-tecnico\" aria-labelledby=\"non-tecnico-ds-title\">\n<h2 id=\"non-tecnico-ds-title\">Not an analyst? What to check in your dashboard<\/h2>\n<p>\n      If you work with a team or an agency managing your Data Studio dashboards, these are the questions you should ask to understand whether the work is being done properly.\n    <\/p>\n<h3>The right questions every month<\/h3>\n<ul>\n<li>Does the dashboard answer specific business questions or only display generic metrics?<\/li>\n<li>Does every metric include comparison against a previous period or target?<\/li>\n<li>Are the data sources updated automatically or do they require manual updates?<\/li>\n<li>Are there interactive filters for channel, device and campaign analysis?<\/li>\n<li>Is the dashboard shared with every stakeholder who needs access to it?<\/li>\n<\/ul>\n<h3>Warning signs something is wrong<\/h3>\n<ul>\n<li>No one opens the dashboard \u2014 it is too complex or does not answer real questions<\/li>\n<li>Data is still manually copied into Excel \u2014 automation is not working<\/li>\n<li>No historical comparisons \u2014 impossible to understand performance evolution<\/li>\n<li>The dashboard shows everything except the information needed for decision-making<\/li>\n<\/ul>\n<p>\n      A well-designed Data Studio dashboard is the convergence point of all marketing data:<br \/>\n      SEO, advertising, ecommerce and lead generation.<br \/>\n      It is the tool that transforms data into decisions, and decisions into measurable results.<br \/>\n      If you want to understand how HT&amp;T builds reporting systems for clients, the best starting point is our <a href=\"https:\/\/www.htt.it\/en\/services\/web-analytics\/\"\n         aria-label=\"Discover HT&#038;T web analytics services\">web analytics and data strategy service<\/a>.\n    <\/p>\n<\/section>\n<section class=\"htt-article__section htt-trust-box\" aria-labelledby=\"trust-gmp-title\">\n<h2 id=\"trust-gmp-title\">Dashboard and marketing data: why work with HT&amp;T Consulting<\/h2>\n<p>\n    HT&amp;T Consulting is certified by <strong>Google Marketing Platform<\/strong> and listed inside Google\u2019s official partner portal.<br \/>\n    This recognition strengthens our expertise in measurement systems, reporting, dashboarding and data strategy for ecommerce and B2B companies.\n  <\/p>\n<p>\n    <a href=\"https:\/\/enterprisemarketingportal.google\/find-a-partner\/ht%2526tconsulting-it\"\n       target=\"_blank\"\n       rel=\"noopener\"\n       aria-label=\"Verify HT&#038;T Consulting inside the official Google Marketing Platform portal\"><br \/>\n       Verify HT&amp;T Consulting in Google\u2019s official partner portal<br \/>\n    <\/a>\n  <\/p>\n<\/section>\n<p>  <!-- CTA --><\/p>\n<section class=\"htt-article__section htt-article__cta\" aria-labelledby=\"cta-ds-title\">\n<h2 id=\"cta-ds-title\">Do you want Data Studio dashboards that support decision-making?<\/h2>\n<p>\n      HT&amp;T Consulting designs and implements Data Studio reporting systems for ecommerce brands, B2B companies and agencies \u2014 connecting GA4, Google Ads, Meta Ads, Search Console and CRM platforms into real-time dashboards.\n    <\/p>\n<p>\n      <a href=\"https:\/\/www.htt.it\/en\/contacts\/\" class=\"htt-cta-button\" aria-label=\"Request a Data Studio consultation\"><br \/>\n        Request a consultation<br \/>\n      <\/a>\n    <\/p>\n<\/section>\n<p>  <!-- FAQ --><\/p>\n<section class=\"htt-article__faq\" id=\"faq-data-studio\" aria-labelledby=\"faq-ds-title\">\n<h2 id=\"faq-ds-title\">Frequently asked questions about Data Studio<\/h2>\n<details class=\"htt-faq-item\" open>\n<summary>What is Data Studio and what is it used for?<\/summary>\n<div class=\"htt-faq-item__content\">\n<p>\n          Data Studio (formerly Looker Studio and before that Google Data Studio) is Google\u2019s free platform for creating marketing dashboards and reports connected to GA4, Google Ads, Search Console and more than 800 other data sources.<br \/>\n          It transforms raw data into automatically updated visualizations that can be shared with teams without manual exports.\n        <\/p>\n<\/p><\/div>\n<\/details>\n<details class=\"htt-faq-item\" open>\n<summary>Why did Google rename Looker Studio back to Data Studio?<\/summary>\n<div class=\"htt-faq-item__content\">\n<p>\n          On April 10, 2026 Google announced the return to the Data Studio name in order to clearly separate two products designed for different audiences:<br \/>\n          Data Studio for self-service reporting and Looker for enterprise Business Intelligence.<br \/>\n          Existing reports migrate automatically without data loss.\n        <\/p>\n<\/p><\/div>\n<\/details>\n<details class=\"htt-faq-item\" open>\n<summary>Is Data Studio free?<\/summary>\n<div class=\"htt-faq-item__content\">\n<p>\n          Yes.<br \/>\n          Data Studio is free when using native Google connectors such as GA4, Google Ads, Search Console, Google Sheets and BigQuery.<br \/>\n          Third-party connectors for Meta Ads, LinkedIn, HubSpot and other platforms usually require additional licenses.<br \/>\n          Data Studio Pro adds enterprise features such as governance, advanced permissions and deeper BigQuery integration.\n        <\/p>\n<\/p><\/div>\n<\/details>\n<details class=\"htt-faq-item\" open>\n<summary>What is the difference between Data Studio and Google Analytics?<\/summary>\n<div class=\"htt-faq-item__content\">\n<p>\n          GA4 collects and analyzes website data.<br \/>\n          Data Studio visualizes that data inside customizable and shareable dashboards.<br \/>\n          The two tools are complementary:<br \/>\n          GA4 is the data source, while Data Studio is the reporting interface.\n        <\/p>\n<\/p><\/div>\n<\/details>\n<details class=\"htt-faq-item\" open>\n<summary>How many data sources can be connected to Data Studio?<\/summary>\n<div class=\"htt-faq-item__content\">\n<p>\n          Data Studio supports more than 800 connectors.<br \/>\n          Native Google connectors cover GA4, Ads, Search Console, Sheets, BigQuery and YouTube.<br \/>\n          Third-party connectors support platforms such as Meta Ads, LinkedIn, TikTok, HubSpot, Salesforce, Shopify and Stripe.\n        <\/p>\n<\/p><\/div>\n<\/details>\n<details class=\"htt-faq-item\" open>\n<summary>How do you share Data Studio dashboards?<\/summary>\n<div class=\"htt-faq-item__content\">\n<p>\n          Dashboards can be shared through links with view\/edit permissions, by email to users or Google Groups, or embedded into websites and Google Slides presentations.<br \/>\n          Automated PDF email delivery can also be scheduled.\n        <\/p>\n<\/p><\/div>\n<\/details>\n<details class=\"htt-faq-item\" open>\n<summary>Does Data Studio work with Shopify and WooCommerce?<\/summary>\n<div class=\"htt-faq-item__content\">\n<p>\n          Yes.<br \/>\n          The most common setup is connecting GA4 ecommerce tracking to Data Studio using the native connector.<br \/>\n          For deeper order, customer and product data, certified Shopify and WooCommerce connectors are available, or Google Sheets can be used as an intermediate layer.\n        <\/p>\n<\/p><\/div>\n<\/details>\n<details class=\"htt-faq-item\" open>\n<summary>What is the difference between Data Studio, Power BI and Tableau?<\/summary>\n<div class=\"htt-faq-item__content\">\n<p>\n          Data Studio is free, optimized for the Google ecosystem and ideal for marketing teams.<br \/>\n          Power BI and Tableau provide more advanced analytics and data modeling features, but require expensive licenses and higher technical expertise.<br \/>\n          For most marketing teams, Data Studio is more than sufficient.\n        <\/p>\n<\/p><\/div>\n<\/details>\n<\/section>\n<p>  <!-- CHECKLIST --><\/p>\n<section class=\"htt-article__section\" id=\"checklist-ds\" aria-labelledby=\"checklist-ds-title\">\n<h2 id=\"checklist-ds-title\">Checklist: before publishing a Data Studio dashboard<\/h2>\n<p>Review these points before sharing a dashboard with your team:<\/p>\n<ul class=\"htt-checklist-grid\" role=\"list\" aria-label=\"Data Studio dashboard checklist\">\n<li>Every metric includes comparison against a previous period or a visual target<\/li>\n<li>The most important KPIs are positioned in the top-left area and clearly visible<\/li>\n<li>Interactive filters exist for dates, channels and campaigns<\/li>\n<li>Data sources update automatically \u2014 no manual refresh required<\/li>\n<li>The dashboard includes separate pages for different audiences: management, marketing and paid teams<\/li>\n<li>Colors communicate meaning \u2014 green above target, red below target<\/li>\n<li>No more than 5\u20136 primary metrics are displayed per page<\/li>\n<li>The dashboard is shared with every stakeholder using the correct permissions<\/li>\n<li>Filters have been tested across all devices<\/li>\n<li>A note or legend explains non-obvious metrics<\/li>\n<li>GA4 data has been verified against ecommerce or CRM data<\/li>\n<li>A quarterly KPI and target review process has been planned<\/li>\n<\/ul>\n<p>\n      A well-designed Data Studio dashboard is never a finished project:<br \/>\n      it is a system that evolves alongside business objectives.<br \/>\n      Data changes, priorities change, channels change.<br \/>\n      The dashboard must evolve with them.\n    <\/p>\n<\/section>\n<section class=\"htt-article__section htt-bibliography\" id=\"bibliografia-data-studio\" aria-labelledby=\"bibliografia-ds-title\">\n<h2 id=\"bibliografia-ds-title\">Bibliography and sources<\/h2>\n<div class=\"htt-biblio-grid\" role=\"list\">\n<article class=\"htt-biblio-card\" role=\"listitem\">\n<h3>Google Cloud \u2014 Data Studio connectors<\/h3>\n<p>\n        Official documentation covering available Data Studio connectors, including Google sources, databases, files, cloud storage and marketing platforms.\n      <\/p>\n<p>      <a href=\"https:\/\/docs.cloud.google.com\/data-studio\/available-connectors\" target=\"_blank\" rel=\"noopener\"><br \/>\n        View source<br \/>\n      <\/a><br \/>\n    <\/article>\n<article class=\"htt-biblio-card\" role=\"listitem\">\n<h3>Google Cloud \u2014 Connectors, data sources and credentials<\/h3>\n<p>\n        Official guide explaining how connectors, data sources and credentials work inside Data Studio reports.\n      <\/p>\n<p>      <a href=\"https:\/\/docs.cloud.google.com\/data-studio\/about-connectors-data-sources-and-credentials\" target=\"_blank\" rel=\"noopener\"><br \/>\n        View source<br \/>\n      <\/a><br \/>\n    <\/article>\n<article class=\"htt-biblio-card\" role=\"listitem\">\n<h3>Google Developers \u2014 Community Connectors<\/h3>\n<p>\n        Technical documentation about Community Connectors used to connect Data Studio with external online data sources.\n      <\/p>\n<p>      <a href=\"https:\/\/developers.google.com\/data-studio\/connector\" target=\"_blank\" rel=\"noopener\"><br \/>\n        View source<br \/>\n      <\/a><br \/>\n    <\/article>\n<article class=\"htt-biblio-card\" role=\"listitem\">\n<h3>Google Cloud Blog \u2014 Looker and Looker Studio<\/h3>\n<p>\n        Google\u2019s deep dive into the integration between Looker and Looker Studio and the distinction between self-service reporting and governed Business Intelligence.\n      <\/p>\n<p>      <a href=\"https:\/\/cloud.google.com\/blog\/products\/data-analytics\/public-preview-of-looker-and-looker-studio-connector-now-available\" target=\"_blank\" rel=\"noopener\"><br \/>\n        View source<br \/>\n      <\/a><br \/>\n    <\/article>\n<article class=\"htt-biblio-card\" role=\"listitem\">\n<h3>HubSpot \u2014 State of Marketing Report<\/h3>\n<p>\n        Annual report on marketing team priorities, including AI, automation, productivity, trust and growth trends.\n      <\/p>\n<p>      <a href=\"https:\/\/www.hubspot.com\/state-of-marketing\" target=\"_blank\" rel=\"noopener\"><br \/>\n        View source<br \/>\n      <\/a><br \/>\n    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For most marketing teams, Data Studio is more than sufficient.\"\n      }\n    }\n  ]\n}\n<\/script>\n<\/script>\n\n\n\n<!-- SECTION -->\n<section  class=\"block-banner-mmet darksection\" style=\"\">\n    <div class=\"htt-container htt-talk-idea\">\n        <div class=\"htt-talk-idea--left\">\n            <p>Do you want clear marketing dashboards that turn data into faster, smarter business decisions?<\/p>\n        <\/div>\n        <div class=\"htt-talk-idea--right\">\n            <div class=\"htt-talk-idea--card\">\n                <h4>\ud83d\udc4b <br>Discuss it with                    Matteo!\n                <\/h4>\n                                        <div class=\"htt-talk-idea--person\">\n                            <div class=\"avatar\" style=\"background-image: url(https:\/\/www.htt.it\/wp-content\/uploads\/2023\/12\/avatar_matteo-1.webp)\"><\/div><p>Matteo Doveri<span>Matteo Doveri is Agency Director at HT&T Consulting. He leads multidisciplinary teams and oversees digital marketing, performance, innovation and digital transformation initiatives, helping companies and brands accelerate growth, strengthen market positioning and evolve their business models in increasingly complex digital ecosystems.<\/span><\/p>                        <\/div>\n                                                    <!-- <a class=\"htt-talk-idea--meet\" href=\"https:\/\/www.htt.it\/contatti\/\">Prenota un meet<\/a> -->\n                <a class=\"htt-talk-idea--meet\" href=\"https:\/\/www.htt.it\/contatti\/\">Book a meeting<\/a>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":20,"featured_media":9567,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1,121],"tags":[905,907,731,443,908,909,734,910],"class_list":["post-9583","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-agency","category-best-practice-en","tag-data-studio-2","tag-data-visualization-2","tag-ga4-2","tag-google-ads-2","tag-google-analytics-2","tag-kpi-marketing-2","tag-looker-studio-2","tag-reporting-2"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Data Studio: Marketing Dashboards for GA4, SEO &amp; ADV .<\/title>\n<meta name=\"description\" content=\"How to build Data Studio dashboards for GA4, SEO, Ads and ecommerce. 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