> ## Documentation Index > Fetch the complete documentation index at: https://docs.florists.digital/llms.txt > Use this file to discover all available pages before exploring further. # Insights > Deeper analysis across staff, products, customers, orders, events, and delivery. The **Insights** page goes deeper than the analytics overview. It breaks your data into tabs — staff, products, category sales, customers, orders, events, and delivery — so you can focus on one area at a time. **This page covers features gated by Manager-tier permissions.** Managers and Admins have these by default; your administrator can adjust who has them in [Settings > Team](/settings/team). Insights dashboard showing analytics blocks across multiple categories ## How it works Set your date range and filters, press **Run**, and the page loads a series of **analytics blocks** — tables and charts grouped under tabs. Each tab focuses on one part of the business. Some blocks have a small download button in their header for that block's data. For full data downloads across the shop, head to [Reports](/analytics/reports). ## Tabs ### Staff How your team is performing: * **Team By Most Orders Added** — who's added the most orders, with total gross * **Team By Average Order Total** — who's writing the highest-value orders on average * **Team By Upsold Products** — who's adding upsell items (defined by your upsell category) * **Team By Completed Tasks** — who's closed the most tasks in the period * **Team By Created Tasks** — who's creating tasks * **Team By Delayed Tasks** — tasks whose due date moved, with a delay percentage * **Team by Confirmed Orders** — who's confirmed the most orders * **Team By Products Sold** — products sold by each team member, with a per-product breakdown * **Team By Orders Marked Ready** — who's marking orders ready for fulfilment **Team By Products Sold** and **Team By Orders Marked Ready** expand on click to show a breakdown — products by name, or daily activity with times and sources. ### Products What's selling and how it's bundled: * **Most Ordered Products** — top 10 by order count, with total gross * **Products Sold by Designer** — sales grouped by the designer named on each product * **Frequently Bought Together** — product pairs that appear in the same order most often Chart showing revenue by product category ### Category sales Sales broken down by product category: * **Sales by Category and Staff Member** — items, orders, and gross per category per staff member * **Top Categories by Sales Volume** — top 15 categories by gross * **Staff Performance Across Categories** — how many categories each team member sold from ### Customers Three leaderboards covering who's buying: * **Customers by Orders** — top 10 by order count, with total spent * **Customers by Total Spent** — top 10 by spend across the period * **Credit Customers by Total Spent** — top 10 account customers by spend Customer analytics leaderboards ### Orders A wide breakdown of order data: * Counts grouped by **status**, **order source**, **payment status**, **fulfilment method**, **order type**, **occasion**, **payment method**, **fulfilment date**, **delivery slot**, and **integration** * **Delivery Orders by Postcode Area** (UK shops only) * **Order Processing Time by Stage** — average time between status changes * **Sales by Occasion** with year-on-year comparison * **Occasion Sales by Month** — monthly trend for the top occasions * **Payment Aging Analysis** — outstanding orders grouped by age bucket * **Orders Marked Ready** charts — daily trend, by hour, by source, and top 10 staff comparison Order analytics showing volume trends and status breakdown ### Events Your wedding and event pipeline: * Leaderboards for **events created**, **events assigned**, and **quotes accepted** by user * **Events by Venue** — useful for spotting where to exhibit at wedding fairs * **Events by Marketing Source** — where leads come from * **Events by Type** — which event categories you run most * **Event Quote Conversion Funnel** — how events move from draft to completed, with average days in each stage * **Quote Conversion Rate Over Time** — monthly conversion trend Event analytics showing booking trends ### Delivery How your runs and drivers are performing: * **Delivery Runs by Driver** — top 10 drivers by completed runs * **Orders Delivered by Driver** — orders and gross delivered per driver * **Drivers by Mile** — total miles per driver * **Milage Statistics** — totals, averages, fees, and average deliveries per run * **Driver Performance Summary** — runs, stops, average duration, and time per stop * **Daily Delivery Completions** — runs completed per day If **Punctuality Monitoring** is turned on in [delivery settings](/daily-operations/delivery-history#punctuality), an extra block appears: * **Driver Punctuality** — average score, on-time, late, and very late percentages per driver Delivery analytics only include data from October 2025 onwards. Earlier runs from the legacy driver system aren't included. Delivery analytics showing on-time rates and method breakdown ## Filtering Set the filters at the top of the page before pressing **Run**. * **Date Range** — pick a preset (Today, Last 7 days, Last 30 days, This month, Last month, This year, Last year) or choose custom dates * **Date Type** — Order Date or Fulfilment Date * **Order Type** — All, Gift, Funeral, Corporate, or Event Open **Advanced Filters** for: * **Product Categories** — pick one or more, with an option to include subcategories * **Locations** — pick one shop or several * **Integrations** — limit to specific connected integrations * **Order Sources** — limit to specific order sources, or include orders with no source ## Common questions A few blocks have a small download button in their header — **Team By Orders Marked Ready**, **Customers by Orders**, **Customers by Total Spent**, and **Driver Punctuality**. For full data downloads, see [Reports](/analytics/reports). If a block has no data for your filters and date range, it stays empty. Try widening the date range or removing filters. **Insights** are on-screen tables and charts. **Reports** are downloadable spreadsheets you can open in Excel or Google Sheets. The Driver Punctuality block only appears if **Punctuality Monitoring** is turned on. See [Delivery History](/daily-operations/delivery-history#punctuality) for how to enable it. ## What's next? See the high-level overview of your shop's performance. Compare your busiest periods year-on-year. Download detailed reports as spreadsheets. Review past runs, punctuality, and driver performance.