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Rainsight is the tool I wish I had for the last decade of running Amazon and DTC brands. After managing more than $100M in sales and spending thousands of hours digging through spreadsheets, I realized the problem wasn’t data access—it was pattern recognition. You can feel something changing in the business long before you can prove it, and that gap costs time, momentum, and revenue. Rainsight closes that gap by automatically analyzing your Amazon performance and flagging the meaningful shifts for you. It pulls in your real Amazon data and runs it through a library of operator-built signals: momentum changes, conversion rate anomalies, traffic vs. sessions mismatches, product cannibalization, Buy Box loss, seasonality patterns, new product maturity, and dozens more. Instead of manually pulling trailing periods and comparing numbers, Rainsight shows you what changed, why it changed, and the impact on your business—all before your morning coffee. Alerts fire automatically, insights update in real time, and trends are surfaced without babysitting reports or dashboards. This isn’t another BI tool that expects you to build everything yourself. It’s an operator’s system: fast to understand, fast to act on, and designed for the way Amazon really behaves. Rainsight is currently in early access with Amazon operators, brand owners, and agencies who want earlier signals, faster decisions, and fewer spreadsheet hours.

Website https://rainsight.io
Employees 1 (0 on RocketReach)
Founded 2024
Industry Technology, Information and Internet

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