Get granular with user data

Get more granular with your user data

Summary: The article discusses the importance of granular data analysis over aggregated data in various contexts. This idea extends to different scenarios like social media, television viewership, and book readership. The author emphasizes the value of detailed feedback, such as pinpointing a specific social media post causing unfollows or identifying the exact moment viewers stop…

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complicated spreadsheet

Analytics tips from a pro — how your data can deceive you if you don’t have the larger context

Summary: The article discusses the importance of questioning assumptions about data to ensure accurate interpretation. A conversation with data expert Michelle Drewek highlights key observations. Firstly, the shift from “average time on page” to “average session duration” led to better content decisions. Secondly, eliminating anomalies from page views and considering context aids accurate analysis. Lastly,…

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measurement

How do you measure engagement?

A recent Bo Sacks post included this interesting paragraph. “Norwegian publisher Amedia reaches 2.4M readers daily across all platforms. It uses a machine learning algorithm to identify characteristics of user behavior that indicate happy and satisfied customers. The algorithm analyzes up to 70 reader behavior statistics and boils it down to a single number called…

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