How to build trust with consistent emails

[Rakibul200]

Then add up your -month inactives plus how many emails aren’t even getting to the inbox. That will give you a rough count of the opaque churn. For this example, I’m going to use an inbox placement rate. That’s what return path’s inbox placement review report says is average. With an inbox placement rate, that means of my list is not getting into people’s inboxes. Here’s what the churn formula might look like now, with the opaque churn added in: churn rate = (unsubscribes + hard and soft bounces + spam complaints) + (list size + of subscribers who have not opened or clicked on an email in months)

List size want another view on gambling number data how to calculate list churn? See marketing consultant linda schumacher’s blog post (editor’s note: the blog post the author’s referring to has recently been taken down) about how she calculated her email list churn for the last few years.

Schumacher used a different technique for calculating her list’s churn rate, but it’s a good technique, too. It also illustrates how there’s no one agreed-upon way to calculate list churn. The table below shows the results schumacher got after she finished her calculations. Chart of “email database annual growth & loss rates” by schumacher how do I reduce my list’s churn rate? Now that you’ve got a rough percentage for your own list’s churn rate (or you know how to get it), what can be done to reduce it? Plenty.