Shopify Analytics is the built-in reporting suite in every Shopify store that provides data on sales, traffic, customers, and product performance. It is accessible from the Analytics section of the Shopify admin and covers everything from high-level revenue summaries to detailed customer cohort analysis and product sell-through reports.
Overview dashboard - a real-time summary of today's sales, sessions, conversion rate, and average order value, with comparisons to prior periods. This is typically the first screen a merchant checks daily. Sales reports - revenue broken down by product, channel, location, traffic source, and time period. These reports answer questions like which products drive the most revenue and which acquisition channels produce the highest-value customers. Customers reports - includes returning customer rate, first-time vs. returning customer breakdown, and customer cohort analysis (how much revenue customers acquired in a specific period have generated over subsequent months). The cohort report is one of Shopify Analytics' most underutilised tools - it is the easiest way to visualise retention trends without a dedicated analytics platform. Inventory reports - stock levels, sell-through rates, and days of inventory remaining by SKU. Critical for demand forecasting and reorder management. Traffic and conversion reports - sessions by source, conversion rate by channel and device, and funnel metrics showing where visitors drop off.
Shopify Analytics is sufficient for most brands under $500K in annual revenue and for operational monitoring at any scale. Its limitations become apparent when brands need cross-channel attribution, multi-touch attribution, customer lifetime value modelling beyond the basic cohort view, or real-time inventory forecasting. Tools like Triple Whale, Polar Analytics, and Northbeam are commonly layered on top of Shopify Analytics to provide deeper attribution and CLTV modelling capabilities.
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