Which is why you should test it.
Jan '22 -> once a month
Feb '22 -> twice a month
Mar '22 -> thrice a month
Jan '23 -> once a month
Feb '23 -> twice a month
Mar '23 -> thrice a month
Compare and contrast for both unsubscribe rate and conversion.
Which is why you should test it.
Jan '22 -> once a month
Feb '22 -> twice a month
Mar '22 -> thrice a month
Jan '23 -> once a month
Feb '23 -> twice a month
Mar '23 -> thrice a month
Compare and contrast for both unsubscribe rate and conversion.
A friend of mine was hired by Peet's to try to clean up the mess they caused by doing this to their previously loyal fan base, it has been a lot of work and expense.
Clean up what? You test it once and if it works, it works, if it doesn't you revert back. You're not going to get a huge backlash of brand loyalty for increasing a monthly newsletter to 2x/month. And if you get ANY backlash you simply revert back. Most people wouldn't even notice.
I think you're overthinking my recommendation.
> A customer driven "send these more often" or "send these less often" offer in the email will give the customer the ability to set the level of engagement that works best for them
You should have this option regardless of what techniques you use.
The people who dropped the newsletter after it became spam definitely won't notice that you reverted back to the expected behavior.
If your test costs 2% of newsletter receipients who were 2 emails away from unsubscribing, it might be worth it.
As always, know your audience.
The unsubscribe rate doesn't really change, it's fairly constant at 0.3% of the audience every time.
There are obviously diminishing returns on the revenue with frequencies. Our business is moderately seasonal, so the numbers are not that accurate on the revenue side.
Also, it may be a mistake to attribute all of your revenue from the email to email. By its nature, emails are going to the segment of your audience most interested and most likely to purchase. Only a portion of revenue from it is actually incremental; a large part probably would have ordered anyway, and the email gets credit only because they're also clicking through the email.
Of course, it depends on what offers are in the email, etc. If you want to test, the best bet is as was mentioned elsewhere in this thread, segment out a set of customers and change the frequency of emails over the long term, and track their total sales.
(I’ve been blocking them for 25+ years; might be out of touch…)
click rates are probably a better proxy for this.
In my experience most people do not block images in emails, and that's the easiest way to tell if someone opened your mail. Even most people who use an adblocker do not block email images.
For example, our newsletters are always offering a time-limited discount for the purchase. They're also not segmented out to people "most likely to purchase", because we don't have that data. It goes out to 100% of our audience every time, unless they made a very recent purchase.
If we knew who the people are that are most likely to buy, it sure as hell would make the business easier to run.