To start, we wanted to classify the purpose and intent of every email. We devised a hacky (and unimaginative) algorithm to sort each email into one of nine categories.
Transactional Email Categories
| Category | Example Keywords and Terms |
|---|---|
| welcome | verify your email address, thanks for signing up |
| reminder | reminder, you still haven’t, expiring |
| billing | invoice, billing, payment, credit card |
| status_update | confirmed, shipped, received, printing |
| promotional | newsletter, redeem, sale, tips to help you, coupon |
| social | invited, reply, followed, shared |
| password | password reset |
| garbage | internal reports and testing emails |
| unknown | category unclear |
After categorizing 50,000,000 emails and templates, we began to look at open and click rates across these categories.
Email click rates were quite varied and appeared to be heavily dependent on sender brand and email content – a great topic for further investigation.
Open rates, on the other hand, showed some very notable patterns.
Here’s the same data, shown as relative open rates per category:
So What Does this Mean?
Chances are you’re sending at least one of these transactional emails to every single user who uses your product. And the data shows that these emails matter — users are opening and engaging with them regularly, much more than traditional marketing emails.
Welcome emails, in particular, get opened a lot. Even boring billing-related emails see significantly higher open rates than most other email types.
In short: these emails are important to your users.
We’re Just Getting Started
We’ve only begun to investigate our data set, and we’ve got a giant list of questions worth investigating in hopes of finding interesting or helpful insights for everyone.
Here are a few of our favorites:
- Does putting dynamic data in the subject line make a difference on open rate?
- What is the optimal length for a subject line?
- What specific words, if any, correlate with a higher open rate?
- If action is required, is the email more likely to be opened? Clicked?
- What are senders with the highest open rates doing differently?
As we dig deeper, we hope to answer these questions and further our mission to make email better for everyone.
Super interesting stats to begin. Curious if the followup article ever got posted on this? Thanks!
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