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It’s that time of year again: the 2020 Omnichannel Statistics Report is live! This year, we deliver the same marketing automation and timing statistics as we did in 2019. However this year, we decided to do something a little different. With the rise of SMS marketing across the ecommerce industry, including among our own marketers, we decided to focus on how SMS performed for our marketers this year, and how they impacted omnichannel campaigns. And the insights we’ve uncovered might surprise you (and hopefully, convince you to give this underappreciated channel a chance). Let’s jump in:
Nearly every business leader (99% according to an HBR study) recognizes the need to build a data driven organization. However, so many struggle to use data for a variety of reasons, a big one of them being that data exists in all sorts of places. This is especially the case with startups, who use a number of out of the box tools that don’t connect to each other, and that only offer so much granularity and flexibility. The solution? A data warehouse.
Data science is the field of applying advanced mathematical and statistical techniques to large sets of data to uncover insights that can improve the performance of different parts of a business. Data science is used in growth to uncover commonalities between types of users that are either successful or unsuccessful with a product. Marketers and growth teams use data science findings to improve the performance of their product, user acquisition funnel, user retention and more. These are the best articles on how to use data science to grow your business. From how to analyze data using R, pandas for Python, regression, model building, SQL and more, you'll learn how to apply data science concepts to growth.
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