FEATURE REQUEST: NATIVE DYNAMIC E-COMMERCE ANALYTICS & REPORTING HighLevel should prioritize the development of a comprehensive native e-commerce analytics and reporting system. HighLevel already captures substantial commerce data within Orders, Transactions, Products, Customers, and Order Line Items. However, e-commerce operators need a native analytical layer that can aggregate, filter, compare, and visualize this information without requiring complex Opportunities, Pipelines, Workflows, Custom Fields, APIs, manual exports, external databases, or third-party business intelligence tools. At a minimum, an E-Commerce Analytics Dashboard should provide: FINANCIAL REPORTING • Total revenue • Gross product revenue • Net revenue • Total orders • Average order value • Tax collected • Shipping revenue • Discounts • Additional charges and fees • Refunds and partial refunds • Revenue after refunds PRODUCT REPORTING • Total units sold • Quantity sold by product • Quantity sold by variant • Revenue by product • Revenue by variant • Best-selling products by quantity • Best-selling products by revenue CATEGORY & COLLECTION REPORTING • Units sold by category or collection • Revenue by category or collection • Category performance over time CUSTOMER REPORTING • Total unique customers • New customers • Repeat customers • Repeat purchase rate • Orders per customer • Revenue per customer • Customer lifetime value • First purchase date • Last purchase date • High-value customer identification BASKET, ADD-ON & UPSELL REPORTING • Products purchased together • Average items per order • Add-on units sold • Add-on revenue • Add-on attachment rate • Upsell performance • Cross-sell performance ATTRIBUTION REPORTING • Revenue by source • Revenue by channel • Revenue by campaign • Revenue by UTM parameters • Revenue from email • Revenue from SMS • Revenue from social media • Revenue from affiliates and vendors DYNAMIC DASHBOARD CAPABILITIES Users should be able to: • Select custom date ranges • Compare reporting periods • Filter by product • Filter by variant • Filter by category • Filter by customer type • Filter by source and campaign • Create charts and tables • Export reports • Schedule recurring reports WHY THIS MATTERS Opportunities and Pipelines are extremely valuable for CRM, sales, customer journey, and operational tracking. However, they should not be required as a workaround for foundational e-commerce reporting. A business owner should be able to open an E-Commerce Analytics Dashboard and immediately answer: What did I sell? How many did I sell? How much revenue did each product generate? Which categories are performing? How much tax did I collect? What was refunded? Who are my new and repeat customers? What is my customer lifetime value? Where is my revenue coming from? Which products, customers, and campaigns are driving my business? HighLevel has an enormous competitive opportunity. The platform already connects: TRAFFIC → MARKETING → CRM → CONTACT → CUSTOMER → PURCHASE → AUTOMATION → RETENTION Adding comprehensive native commerce analytics would complete the ecosystem: TRAFFIC → MARKETING → CRM → CONTACT → CUSTOMER → PURCHASE → PRODUCT → REVENUE → RETENTION → REPORTING ADDITIONAL REQUEST: COMPREHENSIVE E-COMMERCE TRAINING HighLevel should also develop a comprehensive, official, start-to-finish e-commerce video training program. The training should accommodate auditory, visual, and hands-on learners and cover the complete process of: • Store setup • Products and variants • Categories and collections • Payments • Taxes • Shipping • Orders • Transactions • Refunds • Workflows • Opportunities and Pipelines • Attribution • Dashboards • Reporting • Testing • Troubleshooting • Scaling HighLevel has built an exceptionally powerful CRM, automation, and marketing ecosystem. Native dynamic e-commerce analytics and comprehensive e-commerce training would eliminate a significant barrier for business owners who want to operate their entire business within HighLevel. Please prioritize this development.