You can assess the interests of individual list members by monitoring which pages they land on, and where they go from there. The process is explained by this example from Airbnb. They use click behaviour to ascertain the destination preferences and travel styles of customers and base their follow-up emails on those preference profiles. It's intensely specific, but it gets results!
Give people a way to avoid more emails about the same offer. If you do a concentrated promotion for something, you might send lots of emails about it in a short time. Give people the option to avoid future emails about the offer. Just add a link to the end of the emails (e.g., “If you’re sure you’re not interested in [ offer ], click here, and I won’t send you any more emails about it this year.”). That way you won’t annoy people who aren’t interested in the offer now. You could argue that some of them might buy if they saw all the emails. Well, if you’re only interested in this month’s sales, send as many emails as you can. I just assume you want to have someone left on your list for next month.
Surprise: Customer loyalty is the key to success. And you can reward your loyal customers by giving them something for free every now and then. Create a “surprise” email that sends an automated email to your best customers that offers a free yearly license to your software for them to use, a gift card or even a coupon code to redeem a box of cupcakes. It’s a small cost for your business but, the reward is huge!
If you want to code your own emails, you have the freedom to do so. But this is an advanced skill that requires a good bit of technical know-how. Here’s what you need to take the coding leap—whether you’re just getting started, wondering about the basics of HTML emails, or looking for a guide to coding them. We’ve also rounded up a few more resources you might need as you become a certifiable email pro. If you're considering another platform, check out our comparison guide before you make any decisions.
Messages which require online action work better in email than DM (direct message on social media), whereas calls-to-action to text to a shortcode or download a mobile app work fine within a DM. RFM and response analysis will indicate channel preference since customers with a preference for specific online channels will be more responsive in them and will make more purchases online.
To make sure you're only sending emails to the people who want to read them, clean up your email list so that it excludes recipients who haven't opened a certain amount of emails in the campaign's recent history. This makes sure your emails' open and clickthrough rates reflect only your most interested readers, allowing you to collect more effective data on what is and isn't working in each email you send.
Email marketing has always been Permission based, but is silently replaced with its brother; Tease Marketing, continuously building on a brand relationship based on mutual interest. The challenge becomes presenting an – already in itself – appealing and attractive message. But how to benchmark your email marketing efforts to fit that new train of thought?