A couple of years ago I put together a survey to figure out how marketers were using visual content as part of their strategies. There was some really interesting data we collected, so we decided to update that survey to see what changed over the past couple of years in how marketers are using visuals, and what types of results they are getting. Not only did we learn how marketers were using visual content, but we were able to see which types of visual formats were generating the best results, and how those results impacted where they were allotting their marketing budgets. Check out the results in this infographic/study, and leave a comment to tell us how you are using visual content and what types of results you’ve seen.
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.
Join over 70,000 growth pros from companies like Uber, Pinterest & Twitter