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Commerce7 Data Drop: The Tasting Room Effect
Every winery knows the tasting room matters. Few know just how much. Commerce7 analyzed data across six global markets, and one thing kept showing up. The tasting room isn't just a sales channel. It's where most new customer records get created. Where most DTC transactions happen. Where first-time guests become regulars. Commerce7's latest Data Drop, "The Tasting Room Effect," breaks it all down: → Where the revenue is actually coming from → The opportunities most wineries are leaving on the table → What growing wineries are doing differently Get the Data Drop The Commerce7 Data Drop series is an ongoing series designed to deliver timely, digestible insights that help wineries understand what is really driving direct-to-consumer performance. What was once a single yearly data book will now be published in shorter pieces that arrive throughout 2026, giving the industry faster access to trends, benchmarks, and opportunities backed by the largest DTC
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Commerce7 Launches New “Data Drop” Series, Making Advanced DTC Insights More Accessible Than Ever
Commerce7 today announced the launch of Data Drops, a new ongoing series designed to deliver timely, digestible insights that help wineries understand what is really driving direct-to-consumer performance. What was once a single yearly data book will now be published in shorter pieces that arrive throughout 2026, giving the industry faster access to trends, benchmarks, and opportunities backed by the largest DTC dataset in wine. Powered by data from across the Commerce7 platform, Data Drops turn the company’s scale into practical knowledge any winery can use.This series is built for the entire industry, not only Commerce7 clients. Whether a winery runs on another platform or is just beginning to build out its DTC strategy, the content offers clear, actionable intelligence designed to push the industry forward. “Data is only useful when it helps you take the right next step. With Data Drops, we’re making the industry’s biggest DTC dataset readable, practical, and
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