Tips for segmenting your email database
Database segmentation tricks are the secret weapon of many marketing managers who work every day to optimize their email marketing strategies.
And no wonder.
Do you want to increase your open rates, click-through rates, and decrease unsubscribes? Truly smart marketers use segmentation tricks to dramatically improve the effectiveness of their campaigns.
Furthermore, the data itself reveals the power of segmentation. For starters, segmented emails are 14% more likely to be opened than mass emails. But what’s more, a personalized email increases conversion rates up to six times more than a generic one.
TABLE OF CONTENTS
Segmentation Tricks
1.- Segmentation to new subscribers
2.- Opt-in/acceptance frequency
3.- Segment based on abandoned carts
4.- Segmentation based on purchase history
5.- Opening rate
6.- Segmentation tricks based on inactivity
7.- Preferences
8.- By type of purchase
9.- Changes in engagement
10.- Customers who have not left a review
11.- Segment by the history south africa telegram data of visits to your e-commerce
12.- Interests
13.- For activity on the web
14.- Due to inactivity on the web
15.- Segment by birthday
16.- Segmentation based on climate
17.- Segmentation based on location
18.- Expiration of subscription
Segmentation Tricks
The best part is that personalized emails are 6 times more Tips for likely to convert. And yet, 70% of brands fail at this process.
That’s good news for you. Even more so if you know how own your future challenge: learn why sales can change your life to take advantage of this guide with several segmentation tricks that will undoubtedly inspire you.
1.- Segmentation to new subscribers
Don’t neglect your new subscribers by simply asking for an email address and leaving them at that. They need a warm welcome. And there are several segmentation tricks that can help you achieve that.
For example, Lululemon uses its welcome email as a canada email lead reminder of the benefits of being a subscriber. Although the ideal in these cases is to take an example from this piece, which informs the user of the frequency of email sending.