This time last year I worked with The Write Life during their three-day sale of The Writer’s Bundle, a collection of digital products for writers. I built a dynamic dashboard using Google spreadsheets so the team could visually monitor progress throughout the sale.
This year The Writer’s Bundle 2015 was bigger and better than ever, so I wanted to create an even more useful dashboard for the team. The dashboard was a key tool for the team, to monitor both overall and individual sales channel performance, as well as to be a motivating force by giving everyone a visual sense of progress.
Continue reading Building a dynamic dashboard for a 3-day digital flash sale
I’m working my way through this book, Data Analysis Using SQL and Excel, at the moment and chapter 6 is all about survival and retention modelling. I learn best when I can attack real life problems, so I took some of the lessons from this chapter and applied them to the MailChimp email data I already had in a MySQL database.
Previously I looked at setting up a database and doing some basic MySQL analysis on MailChimp data, as well as some more in-depth analysis such as creating a histogram of email subscribers.
This post takes it a step further by looking at subscriber behaviour within the email campaign data. What can we say about how long people remain active subscribers? For a subscriber who has been active for a given length of time, how likely are they to continue being active?
Continue reading Survival and retention analysis using MySQL