It’s not always easy to get a good first impression. Your email list has made an effort by subscribing and you should take care not to mismanage this relationship! The tone of the message will determine whether these individuals continue following links within future emails, opening them up for more information on products or services they might be interested in hearing about – which could ultimately turn into customers if done correctly with nurturing technique as well.
A thank you message is the perfect way to show your new subscriber that they are appreciated.
After all, feeling loved has a lot to do with getting attention, and having these feelings towards someone means caring about them too! The “Thank You” email should not be general or generic – include details like what their first name was in order to capture interest right off of the bat so there’s no room for second thought when it comes time to writing future emails later on down this road together 😉
Keep expectations crystal clear
When you sign up a new subscriber, they have certain expectations. Key among these is that you will send them an email from your company once their subscription has been confirmed and activated with no issues in sight–and it’s important to keep this promise! Make sure the address where all correspondence goes live doesn’t look like someone else’s nicely decorated inbox; whitelist anyone who wants access before sending any emails whatsoever so there are never surprises on delivery days (spamming).
Data-driven more personalized emails
With the addition of more data, you will be able to segment your email list and better gear future marketing efforts. The key is that this step should be done right away so it doesn’t get lost in translation!
Include a brief survey asking subscribers to choose between several options such as demographics or message frequency before they subscribe – With these insights at hand we can tailor our emails accordingly by targeting important demographic groups (e-commerce users?) who might have specific needs related to products/services; furthermore knowing what type of messages worked best for previous campaigns means less time spent testing out new subject lines.