I identified a profitable segment combining app usage and sales data from the previous year
I found a particularly profitable segment of users by looking cross-referencing app usage and purchase behavior. For the Black Friday 2020 campaign we sold far more high ticket items to people who had used the app for 12 consecutive months (the size of the circles represent # plans purchased). It helped us send our most active users our best deal. (High price but high discount)
Spreadsheet command center
To keep track of the 60 campaigns I built out a spreadsheet to track the different offers and email template modules to include in the campaign. Different segments received personalized offers (pictured) based on analysis from our Data Science team that found the optimal offer according revenue per email sent.
Landing page switch led to 40% conversion improvement
Toward the end of the campaign I created an A-B test for the email click’s landing page.
You should notice that the original page is a very simple credit card page. Because we were advertising a Black Friday time-limited sale our logic was to collect payment as quickly as possible.
You will notice that Treatment version has a lot more information. It has a big hero image, some science facts, a product comparison checklist in the middle, and testimonials on the bottom. Our product & engineering team had refined and tested this landing page for peak performance earlier in the year but we had never tested these two variants against each other within the context of a holiday sale.
The A-B test showed 50%+ sales conversion improvement over the 3-day observation period for the campaign. I wished I had tested these two landing pages earlier in the campaign!
I believe that part of the reason the page performed so much better is that we only sent this page to users who never subscribed before. These people barely know what Calm is so I believe that having the extra information on the page properly educated the returning inactive users and clearly did a better job at explaining the value of the Black Friday deal that we were offering them.
Next year I’ll be sure to compare the two variants across broader audience (churned, current paid, etc.)