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While solving the question: 👉 "Show me all official products, along with their sales and support details if available." many people fall into a very common cogroup() trap. They expect the data to behave as if: ➤ Sales and Support are combined first ➤ Then attached to Product Master But that is not how SAQL evaluates cogroup(). In this video, we expose exactly where the logic breaks. Using a simple tabular walkthrough, we simulate how SAQL actually processes: cogroup A by 'PID' left, B by 'PID', C by 'PID' by mentally breaking it into: ab = cogroup A by 'PID' left, B by 'PID' abc = cogroup ab by 'PID', C by 'PID' This makes one thing crystal clear: 🔹 cogroup() is evaluated left to right 🔹 Row survival depends on the join type at each step 🔹 A single misplaced join changes the final result We then validate the exact same behavior directly in the Lens. Towards the end, we also preview the next analytics scenario: 👉 "Show me all products that are either officially launched OR sold, plus support info if exists." We map the expected output first — before writing any SAQL. This session is about thinking like the SAQL engine, not just writing queries. If your cogroup() results have ever surprised you, this video explains why. ▶️ Watch till the end to spot the cogroup() mistake most people make ▶️ Save this if you’re learning SAQL step by step Subscribe Techie Avinash YouTube Channel for tips and examples on SAQL #SalesforceCRMAnalytics #SalesforceEinsteinAnalytics #SalesforceCRMA #SAQL #AnalyticsEngineering #LearningByExample #BusinessIntelligence #DataAnalytics