Who this is for:<\/strong> Data-driven operators, brand owners, and finance leads who want to move from scattered reports to actionable insight.<\/p>\n\n\n\n
What Keri put on the table<\/strong><\/h2>\n\n\n\nKeri\u2019s premise was simple. Better decisions come from better visibility. Amazon is packaging the sprawl of Seller Central<\/a> data into two tools you can use together or separately: Custom Analytics<\/strong> to build the exact views you need, and Profit Analytics<\/strong> to see true costs, model tradeoffs, and choose the most profitable route before you act. Her emphasis was speed. Sometimes you need a deep dive<\/a>, other times a fast answer that tells you where to focus right now.<\/p>\n\n\n\n![\"Keri](\"https:\/\/zonhack.com\/wp-content\/uploads\/2025\/10\/Keri-Cusick-showing-Seller-Central-data-with-two-tools-1024x512.webp\")
<\/figure>\n\n\n\nYour data, your way: Custom Analytics<\/strong><\/h2>\n\n\n\nCustom Analytics centralizes data that used to live across many surfaces and lets you design reports around your goals. Keri highlighted \u201cover 100 different metrics\u201d<\/strong> across sales, traffic, inventory and more, many of which were \u201cpreviously spread across more than 15 different reports and dashboards.\u201d<\/strong> The tool now includes added signals like account health<\/a>, promotions, product ratings, and reviews, with ads performance data \u201ccoming soon.\u201d<\/strong> Search is faster, you can drag-and-drop metrics, and compare time periods side by side.<\/p>\n\n\n\n![\"Custom](\"https:\/\/zonhack.com\/wp-content\/uploads\/2025\/10\/Custom-Dashboard-of-Custom-Analytics-1024x512.webp\")
<\/figure>\n\n\n\nOn visualization, Custom Analytics introduces heat maps to time your promotions, and funnel diagrams to expose where customers fail to convert. Keri\u2019s example: spot a shoulder-season drop in glance views<\/a> and sales, launch a targeted promotion, then compare the before-and-after in real time and add inventory metrics to ensure supply keeps pace. If you do not want to start from a blank canvas, curated dashboards ship ready to use, including a high-velocity sales event dashboard.<\/strong><\/p>\n\n\n\n![\"Customize](\"https:\/\/zonhack.com\/wp-content\/uploads\/2025\/10\/Customize-metrics-and-dimensions-1024x512.webp\")
<\/figure>\n\n\n\nKeri underscored adoption and value: \u201cIn just the first few weeks, sellers created over 35,000 custom dashboards,\u201d<\/strong> and feedback is that the tool saves hours each week<\/strong> and is free to use.<\/strong><\/p>\n\n\n\nMargins without guesswork: Profit Analytics<\/strong><\/h2>\n\n\n\nProfit Analytics pulls cost data from \u201cmore than eight Seller Central<\/a> sources\u201d<\/strong> in one place, including fees, ad spend, refunds and returns, and lets you add outside costs for a complete picture. From there you can assess profitability across your catalog, drill into individual items, simulate price changes, and forecast the impact of new services before you commit. The Alpineverse example was direct. Rising ad costs with flat sales were visible at a glance, which led Riley to shut off underperforming campaigns. Keri called out the principle: \u201cProfit Analytics helps you stop spending money on what isn\u2019t working, even if that means you\u2019re spending less money with us.\u201d<\/strong><\/p>\n\n\n\n![\"Total](\"https:\/\/zonhack.com\/wp-content\/uploads\/2025\/10\/Total-Conversion-rate-with-sales-KPIs-1024x512.webp\")
<\/figure>\n\n\n\nWhat is next matters too. Scenario planning is coming soon,<\/strong> so you can test questions like \u201cWhat if we add a promotion to sell through stock\u201d or \u201cWhat if we launch in an additional store\u201d and see projected outcomes in advance. Proactive notifications are also on the roadmap<\/strong> to alert you when demand spikes, recommend inbound quantities, and help you avoid stockouts<\/a>. Amazon is working to extend these capabilities to other sales channels<\/strong> so you can see cross-channel cost and profit, not just what happens inside Amazon.<\/p>\n\n\n\nMoves that compound quickly<\/strong><\/h2>\n\n\n\n
<\/figure>\n\n\n\nYour data, your way: Custom Analytics<\/strong><\/h2>\n\n\n\nCustom Analytics centralizes data that used to live across many surfaces and lets you design reports around your goals. Keri highlighted \u201cover 100 different metrics\u201d<\/strong> across sales, traffic, inventory and more, many of which were \u201cpreviously spread across more than 15 different reports and dashboards.\u201d<\/strong> The tool now includes added signals like account health<\/a>, promotions, product ratings, and reviews, with ads performance data \u201ccoming soon.\u201d<\/strong> Search is faster, you can drag-and-drop metrics, and compare time periods side by side.<\/p>\n\n\n\n<\/figure>\n\n\n\nOn visualization, Custom Analytics introduces heat maps to time your promotions, and funnel diagrams to expose where customers fail to convert. Keri\u2019s example: spot a shoulder-season drop in glance views<\/a> and sales, launch a targeted promotion, then compare the before-and-after in real time and add inventory metrics to ensure supply keeps pace. If you do not want to start from a blank canvas, curated dashboards ship ready to use, including a high-velocity sales event dashboard.<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\nKeri underscored adoption and value: \u201cIn just the first few weeks, sellers created over 35,000 custom dashboards,\u201d<\/strong> and feedback is that the tool saves hours each week<\/strong> and is free to use.<\/strong><\/p>\n\n\n\nMargins without guesswork: Profit Analytics<\/strong><\/h2>\n\n\n\nProfit Analytics pulls cost data from \u201cmore than eight Seller Central<\/a> sources\u201d<\/strong> in one place, including fees, ad spend, refunds and returns, and lets you add outside costs for a complete picture. From there you can assess profitability across your catalog, drill into individual items, simulate price changes, and forecast the impact of new services before you commit. The Alpineverse example was direct. Rising ad costs with flat sales were visible at a glance, which led Riley to shut off underperforming campaigns. Keri called out the principle: \u201cProfit Analytics helps you stop spending money on what isn\u2019t working, even if that means you\u2019re spending less money with us.\u201d<\/strong><\/p>\n\n\n\n<\/figure>\n\n\n\nWhat is next matters too. Scenario planning is coming soon,<\/strong> so you can test questions like \u201cWhat if we add a promotion to sell through stock\u201d or \u201cWhat if we launch in an additional store\u201d and see projected outcomes in advance. Proactive notifications are also on the roadmap<\/strong> to alert you when demand spikes, recommend inbound quantities, and help you avoid stockouts<\/a>. Amazon is working to extend these capabilities to other sales channels<\/strong> so you can see cross-channel cost and profit, not just what happens inside Amazon.<\/p>\n\n\n\nMoves that compound quickly<\/strong><\/h2>\n\n\n\n
<\/figure>\n\n\n\nOn visualization, Custom Analytics introduces heat maps to time your promotions, and funnel diagrams to expose where customers fail to convert. Keri\u2019s example: spot a shoulder-season drop in glance views<\/a> and sales, launch a targeted promotion, then compare the before-and-after in real time and add inventory metrics to ensure supply keeps pace. If you do not want to start from a blank canvas, curated dashboards ship ready to use, including a high-velocity sales event dashboard.<\/strong><\/p>\n\n\n\n Keri underscored adoption and value: \u201cIn just the first few weeks, sellers created over 35,000 custom dashboards,\u201d<\/strong> and feedback is that the tool saves hours each week<\/strong> and is free to use.<\/strong><\/p>\n\n\n\n Profit Analytics pulls cost data from \u201cmore than eight Seller Central<\/a> sources\u201d<\/strong> in one place, including fees, ad spend, refunds and returns, and lets you add outside costs for a complete picture. From there you can assess profitability across your catalog, drill into individual items, simulate price changes, and forecast the impact of new services before you commit. The Alpineverse example was direct. Rising ad costs with flat sales were visible at a glance, which led Riley to shut off underperforming campaigns. Keri called out the principle: \u201cProfit Analytics helps you stop spending money on what isn\u2019t working, even if that means you\u2019re spending less money with us.\u201d<\/strong><\/p>\n\n\n\n What is next matters too. Scenario planning is coming soon,<\/strong> so you can test questions like \u201cWhat if we add a promotion to sell through stock\u201d or \u201cWhat if we launch in an additional store\u201d and see projected outcomes in advance. Proactive notifications are also on the roadmap<\/strong> to alert you when demand spikes, recommend inbound quantities, and help you avoid stockouts<\/a>. Amazon is working to extend these capabilities to other sales channels<\/strong> so you can see cross-channel cost and profit, not just what happens inside Amazon.<\/p>\n\n\n\n<\/figure>\n\n\n\nMargins without guesswork: Profit Analytics<\/strong><\/h2>\n\n\n\n
<\/figure>\n\n\n\nMoves that compound quickly<\/strong><\/h2>\n\n\n\n
![\"Scenario](\"https:\/\/zonhack.com\/wp-content\/uploads\/2025\/10\/Scenario-Modeling-to-analyze-fees-cst-and-profitability-1024x512.webp\")
<\/figure>\n\n\n\n