{"id":804,"date":"2026-08-06T09:14:46","date_gmt":"2026-08-06T09:14:46","guid":{"rendered":"https:\/\/www.useproactiveai.com\/blog\/?p=804"},"modified":"2026-08-06T09:14:46","modified_gmt":"2026-08-06T09:14:46","slug":"magento-analytics","status":"publish","type":"post","link":"https:\/\/www.useproactiveai.com\/blog\/magento-analytics\/","title":{"rendered":"Magento Analytics: How Adobe Commerce Brands Can Unlock Deeper Reporting"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">You have an Adobe Commerce store, orders are streaming in, and campaigns are running on various channels. However, when your leadership team asks, \u201cWhich products are leading our most loyal customers?\u201d or \u201cWhat will our revenue be next quarter?\u201d you&#8217;re left with CSVs, spreadsheets, and guesswork.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This is the pain point most Magento (Adobe Commerce) brands face today. The platform&#8217;s native reporting provides operational visibility but lacks the depth required for strategic business intelligence. Without an analyst spending hours and hours in the backend, there is no way to easily tie customer behavior to revenue trends and predict inventory demand, or answer a business question.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Modern analytics platforms address these limitations by combining business intelligence, AI, and unified reporting. The right Magento analytics setup, with native tools, advanced BI, and AI-powered analytics platforms, can change the way you make decisions, from reactive reports to truly proactive decision-making. This blog explains how to do just that, what tools are important, and how ProactiveAI fits in.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">What Is Magento Analytics and Why Does It Matter?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Magento Analytics combines reporting, business intelligence, and performance metrics to measure ecommerce operations across revenue, customers, products, and marketing. This ranges from order and revenue tracking, customer lifetime value, and product performance to marketing attribution.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A <\/span><a href=\"https:\/\/www.salesforce.com\/eu\/blog\/future-of-customer-service\/\"><span style=\"font-weight: 400;\">2023 Salesforce report revealed that 73% of customers expect businesses<\/span><\/a><span style=\"font-weight: 400;\"> to know their needs, something only possible with clean, connected data. With Adobe Commerce brands, Magento analytics isn&#8217;t simply a reporting tool, and it&#8217;s a competitive edge.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If your analytics stack is functioning properly, you can find answers to questions such as:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Which customers have the highest repeat purchase rate?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">What products are trending before reaching the peak of demand?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">What are the drop-off issues in the checkout funnel?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">What is the growth compared to last year for your line of revenue this week?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">If you don&#8217;t have analytics in place, you&#8217;re operating blind.<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-weight: 400;\">What Does Magento Provide Natively?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The built-in reporting section under the Admin panel in Adobe Commerce covers the basics. The native reporting suite includes the following capabilities:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Standard Magento Reporting Tools:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Sales Reports: <\/b><span style=\"font-weight: 400;\">All orders, invoices, shipping, refunds, and tax reports<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Product Reports:<\/b><span style=\"font-weight: 400;\"> Views, bestsellers, low stock, and ordered products.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Customer Reports:<\/b><span style=\"font-weight: 400;\"> New Customers, Order Counts, and Customer Activity.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Marketing Reports:<\/b><span style=\"font-weight: 400;\"> Abandonment reports, search terms, and coupons<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Reviews &amp; Wishlist Reports:<\/b><span style=\"font-weight: 400;\"> Customer engagement indicators<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The Magento reporting tools are truly helpful for operational checks throughout the day. You can view yesterday&#8217;s order count and which SKUs are out of stock from the native dashboard.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">There is also an enhanced integration with Adobe Analytics for behavioral tracking, including page views, session paths, funnel analysis, and A\/B test data, that goes far beyond what is available in the basic admin panel for Adobe Commerce (Cloud) customers.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">What Are the Limits of Magento&#8217;s Built-in Reporting?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">This is where most emerging brands get stuck. Native Magento dashboards primarily support transactional reporting and provide limited predictive or strategic business insights.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">These are the most common restrictions:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>No cross-channel attribution.<\/b><span style=\"font-weight: 400;\"> There is no correlation between ad spend data and actual revenue outcomes across native reports, whether provided by Google or Meta.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Limited customer analytics. <\/b><span style=\"font-weight: 400;\">You can view order history, but accessing cohort analysis, churn prediction, and lifetime value segmentation requires additional tools.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>No predictive capability. <\/b><span style=\"font-weight: 400;\">No revenue forecasting or demand prediction is built-in.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Poor data visualization. <\/b><span style=\"font-weight: 400;\">The default Magento ecommerce metrics interface provides operational reporting, but isn&#8217;t designed for executives to tell a story or quickly extract insights.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Siloed data. <\/b><span style=\"font-weight: 400;\">Your email system, CRM, ERP, and ad accounts each reside in entirely different systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>No self-service to non-technical users. <\/b><span style=\"font-weight: 400;\">Each custom report usually needs to be developed or involve a certain level of SQL.<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">These limitations may be acceptable for early-stage ecommerce businesses. These gaps are a reality for any brand that&#8217;s grown beyond seven figures.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Key Components of a Strong Adobe Commerce Analytics Stack<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">A good data analytics platform for ecommerce is not built from a single tool, and it&#8217;s composed of several capabilities working together:<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td>\n<p style=\"text-align: center;\"><b>Layer<\/b><\/p>\n<\/td>\n<td style=\"text-align: center;\"><b>Function<\/b><\/td>\n<td>\n<p style=\"text-align: center;\"><b>Example Tools<\/b><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td><b>Data Collection<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Capture transactions, events, customer behavior<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Adobe Commerce, Google Tag Manager<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>Data Warehouse<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Store and consolidate data from all sources<\/span><\/td>\n<td><span style=\"font-weight: 400;\">BigQuery, Snowflake, Redshift<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>BI \/ Reporting<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Visualize and explore historical data<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Adobe Commerce Intelligence, Looker<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>AI Analytics<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Predict, explain, and surface insights automatically<\/span><\/td>\n<td><span style=\"font-weight: 400;\">ProactiveAI, Adobe Experience Platform<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>Activation<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Act on data to personalize, retarget, and automate<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Klaviyo, Salesforce, Meta Ads<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\">Imagine these layers are like the floors of a building. The top floors of the building (AI analytics and activation) are only valuable once it has a solid foundation (data collection and storage). If you skip layers, you&#8217;ll get a split, disparate report, which most brands struggle with.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">What Is Adobe Commerce Intelligence (Formerly Magento BI)?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Adobe Commerce Intelligence (ACI) was previously Magento BI and prior to that RJMetrics, Adobe&#8217;s built-in business intelligence layer for Commerce customers. It&#8217;s a data warehouse and visualization platform built specifically for ecommerce transaction analysis.<\/span><\/p>\n<p><b>What ACI does well:<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Computes customer lifetime value (CLV) and cohort retention rates<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Customizes revenue, AOV, and product performance automated reports<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Allows SQL-based custom metrics and calculated columns<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Includes support for connecting to Adobe Analytics for merged behavioral dimensions.<\/span><\/li>\n<\/ul>\n<h3><span style=\"font-weight: 400;\">Technically, how ACI works:<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">\u00a0ACI is a tool that moves all Adobe Commerce tables (orders, customers, products) into a managed data warehouse. You create dashboards based on metrics, SQL-calculated fields, and definitions. It&#8217;s more capable than the built-in Admin reporting and is also used in the Adobe environment, though not much.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The difference is in what Adobe Commerce Intelligence stores and what Adobe Analytics stores. The difference is: Adobe Commerce Intelligence stores what you sold and to whom, while Adobe Analytics stores what visitors did before and after they bought. Mature teams leverage both in tandem: Adobe Analytics for behavioral and funnel analysis, and ACI for business performance metrics.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">How Do You Connect Magento to an Advanced Analytics Platform?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The integration of a brand&#8217;s data with an advanced analytics platform is usually one of these:<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Option 1: Direct Database Connection\u00a0<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">You can use tools such as Zoho Analytics to tunnel into your Magento MySQL database or connect to it via a read replica. This is suitable for smaller stores, but can load production databases.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Option 2: API-Based Integration\u00a0<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Most analytics platforms offer REST API endpoints to retrieve Magento order, customer, and product data on a scheduled basis. This approach offers greater scalability but requires implementation and ongoing maintenance.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Option 3: AI-Powered Analytics Platform (Recommended)<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Platforms such as ProactiveAI integrate with your Adobe Commerce data and integrate other data sources like Google Ads, Meta, email platforms, and more into a single ecommerce analytics dashboard. You don&#8217;t need to build pipelines yourself, and you&#8217;re provided with pre-built connectors, automated data sync, and AI-generated insights on top.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The Magento eCommerce dashboards from ProactiveAI bring all Magento sales analytics, customer behavior, marketing attribution, and inventory tracking into a single view, with no SQL required, and are specifically designed for Magento and Adobe Commerce brands.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Magento vs Shopify Analytics: A Quick Comparison<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">It is a frequent scenario, particularly when brands are considering platforms or running multiple stores.<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><span style=\"font-weight: 400;\">Feature<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Magento (Adobe Commerce)<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Shopify<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Native Reporting Depth<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Moderate (better with ACI)<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Good for basics<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Customization<\/span><\/td>\n<td><span style=\"font-weight: 400;\">High SQL, API, custom metrics<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Limited without apps<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Third-Party Integrations<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Extensive but requires setup<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Large app ecosystem, easier setup<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">AI Analytics Support<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Via third-party tools<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Via third-party tools<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Data Ownership<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Full (self-hosted or cloud)<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Shopify controls data layer<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Scalability<\/span><\/td>\n<td><span style=\"font-weight: 400;\">High enterprise-grade<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Good but limited at extreme scale<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\">Shopify is a winner when it comes to simplicity. Magento offers greater flexibility, customization, and scalability for enterprise ecommerce operations than Shopify. However, in terms of advanced analytics, neither platform addresses the challenge natively, and each requires its own Magento data analytics platform and\/or third-party integrations.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Best Analytics Tools for Magento Stores<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Here&#8217;s how some Adobe Commerce brands use these tools for each of the use cases:<\/span><\/p>\n<p><b>For Business Intelligence:<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The Adobe Commerce Intelligence native BI layer, SQL-based.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">For teams that have a data warehouse and data analysts, consider using Looker or Tableau.<\/span><\/li>\n<\/ul>\n<p><b>For Behavioral Analytics:<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Adobe Analytics (deep behavioral tracking, native integration).<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Google Analytics 4 (popular, free)<\/span><\/li>\n<\/ul>\n<p><b>For AI-Powered ecommerce Analytics:<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">ProactiveAI is a conversational AI analytics platform, offering pre-built Magento dashboards, a forecasting engine, and self-service business intelligence for ecommerce teams.<\/span><\/li>\n<\/ul>\n<p><b>To use with Data Pipeline \/ ETL:<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Fivetran, Stitch, or custom scripts (engineering teams)<\/span><\/li>\n<\/ul>\n<p><b>For CRM + Commerce Sync:<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Zoho Analytics (good for SMBs) with Magento connector.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Salesforce + MuleSoft (enterprise-grade)<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">ProactiveAI is a standout on this list, especially because it is designed for the non-technical ecommerce operator. No data engineer or SQL knowledge is required, and the platform will do the heavy lifting, so your team can focus on decision-making, not data wrangling.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">How Does AI Analytics Improve Reporting for Magento Stores?\u00a0<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Regular BI tools let you know what happened. AI analytics will tell you why it happened, what is likely next, and what you should do about it. It&#8217;s a significant edge for any Adobe Commerce brand looking to remain competitive.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Let&#8217;s see what AI has to offer for Magento customer analytics in particular:<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">1. Conversational AI Analytics\u00a0<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">If you have a question, ask it, and don&#8217;t construct a report. With the power of <\/span><a href=\"https:\/\/www.useproactiveai.com\/products\/conversational-ai-analytics\"><span style=\"font-weight: 400;\">conversational AI analytics<\/span><\/a><span style=\"font-weight: 400;\">, your team can ask questions such as &#8220;What was the return rate on the product category with the most returns last month?&#8221; and receive immediate, accurate answers without having to navigate the dashboard. This is the practical usage of conversational AI in the ecommerce sector.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">2. AI Sales Forecasting\u00a0<\/span><\/h3>\n<p><a href=\"https:\/\/www.useproactiveai.com\/products\/forecasting-engine\"><span style=\"font-weight: 400;\">Forecasting Engine<\/span><\/a><span style=\"font-weight: 400;\"> creates ecommerce sales forecasts by leveraging machine learning techniques and your real-world historical data, market signals, and seasonal patterns. You can have revenue projections, demand forecasting for stock purchases, and even scenario modeling without a data science team.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">3. Automated Anomaly Detection\u00a0<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">With a 30% decline in conversion rate on a Tuesday afternoon, you don&#8217;t want to know two days later when your weekly report comes around. Your key metrics are tracked around the clock by AI analytics, which alerts you to any pattern of abnormality as soon as it arises.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">4. Customer Segmentation at Scale\u00a0<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">AI can automatically segment your customers by their purchase behavior, lifetime value potential, and churn risk, and continuously update these segments as new orders are placed. This means that your Magento customer analytics become actionable.<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">5. Self-Service BI for the Whole Team<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Any team member, whether in marketing, operations, or leadership, can dive into the data on their own using <\/span><a href=\"https:\/\/www.useproactiveai.com\/products\/self-service-analytics\"><span style=\"font-weight: 400;\">Self-Service Analytics<\/span><\/a><span style=\"font-weight: 400;\">. No tickets to the data team, no waiting for a report to be built. Self-service Business Intelligence, just for ecommerce.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Why Choose ProactiveAI for Your Adobe Commerce Reporting?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">ProactiveAI is a dedicated AI-powered analytics platform designed for ecommerce brands, such as Adobe Commerce and Magento stores. It provides insights specific to ecommerce companies, rather than general BI tools.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Our platform comes with<\/span><a href=\"https:\/\/www.useproactiveai.com\/products\/ecommerce-dashboards\"><span style=\"font-weight: 400;\"> pre-designed dashboards<\/span><\/a><span style=\"font-weight: 400;\"> that provide sales performance, customer analytics, marketing attribution, and inventory insights. This enables teams to access important metrics without having to build them from the ground up.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The ML-powered forecasting engine can forecast sales, demand, and inventory trends, helping finance and operations teams make better planning decisions based on reliable data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Along with this, our self-service analytics allows business users to create custom reports, filter and export data without relying on other users. Additionally, it integrates with Magento, Google Ads, Meta, email marketing tools, and CRMs to provide businesses with a consolidated view of ecommerce performance, ideal for both growing and enterprise brands.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Conclusion<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">While Magento provides you with important reporting features, expanding ecommerce enterprises require more information than what the native dashboards can deliver. The Magento analytics strategy emerges from a blend of historical reporting, AI-driven forecasting, customer analytics and marketing attribution, and self-service reporting to enable swift, data-driven decisions.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You can integrate your data from your ecommerce platform to advertising systems, CRM, and marketing systems to get a full picture of the business and find growth opportunities. It can be much easier with platforms such as <\/span><a href=\"https:\/\/www.useproactiveai.com\/products\/ecommerce-dashboards\"><span style=\"font-weight: 400;\">ProactiveAI<\/span><\/a><span style=\"font-weight: 400;\">, which offer pre-built ecommerce dashboards, conversational analytics, and predictive insights tailored for Adobe Commerce and Magento brands.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">With competition rising, investing in deeper Magento analytics will help businesses become more efficient, deliver a better customer journey, and make better decisions with ease.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>You have an Adobe Commerce store, orders are streaming in, and campaigns are running on various channels. However, when your leadership team asks, \u201cWhich products are leading our most loyal customers?\u201d or \u201cWhat will our revenue be next quarter?\u201d you&#8217;re left with CSVs, spreadsheets, and guesswork. This is the pain point most Magento (Adobe Commerce) [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":805,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[3],"tags":[297],"class_list":["post-804","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-analytics","tag-magento-analytics"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Magento Analytics: Smarter Reporting for Adobe Commerce Stores<\/title>\n<meta name=\"description\" content=\"Go beyond Magento Analytics reports with AI-powered revenue forecasting, customer insights, and attribution.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.useproactiveai.com\/blog\/magento-analytics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Magento Analytics: Smarter Reporting for Adobe Commerce Stores\" \/>\n<meta property=\"og:description\" content=\"Go beyond Magento Analytics reports with AI-powered revenue forecasting, customer insights, and attribution.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.useproactiveai.com\/blog\/magento-analytics\/\" \/>\n<meta property=\"og:site_name\" content=\"ProactiveAI Blog | AI Analytics, Data Insights &amp; 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