Excellent Personalization with Open Time Content
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Increased Engagement with Email Personalization
As a print company, posterXXL needed a way to stand out among their competitors and win sales from their customers online. Using the Emarsys platform to add dynamic and personalized content to their email strategy, posterXXL increased engagement with their thousands of customers after only a few months.
Creating Urgency to Buy with Emarsys
Using Open Time Content from Emarsys allowed posterXXL to better leverage their data to personalize emails, create a sense of urgency, and increase their customer engagement. With the success of this initiative, posterXXL is expanding their personalization strategy to include mobile channel and has already implemented push notifications in their app.
PosterXXL was able to better engage their vast audience through email alone with these Emarsys tools:
Engaging Images and Email Design
The Emarsys solution allowed posterXXL to place images that appeal to different segments, such as men and women. They could also further refine the designs of the email to see which ones led to higher engagement, and all of the results were tracked through the Emarsys platform.
Automated Special Occasion Emails
Moving beyond the standard “Hello [first name]” email salutation, the Emarsys solution allowed them to embed names or any other required values in their products or image design. This individualized attention not only engages customers but will build loyalty going forward.
PosterXXL used countdown timers, a dynamic piece of content embedded into an email that updates every time the email is opened to show the current time left, in an attempt to generate urgency to buy. As a result, their open, click-through, and conversion rates increased.
“The general mission is to personalize the dialog for every customer, and this has been made possible for us with Emarsys. The automation programs, the personalization features, the conditional targeting, etc. — this is all very good. What I wish is to continue the implementation of machine learning into the system.”
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