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The Zembula Approach: Personalization and Data

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We all know that data is central to a good personalization experience. Unfortunately for us marketers, just knowing that fact doesn’t make it any easier to accomplish. The good news is that there are plenty of ways to ease this burden, and Zembula has some ideas around this that will help you, whether you’re using our solution or not.

Data is Central to a Good Personalization Experience

Without good data you just simply don’t have good personalization. You need to take account for all the things you’ve been collecting from your customers and see what works for your brand when it comes to personalization. A few good places to start are profile data (like customer name) and some kind of transactional or triggered data (like abandoned cart).

The best part is you’re probably already tracking these things. We recommend you start with what you have and to not add another data piece to the mix until you’ve got the basics down! For example, don’t start up a loyalty program just for the sake of personalization!

What Makes Zembula’s Ability To Utilize Data Unique?

Personalizing your email content with Zembula is easier than using other solutions for a lot of reasons, but here are two that our customers say stick out to them!

  1. Multiple Data Sources Within The Same Block 
    Add as many data sources within the same content block as you want! We handle the integration and normalization.
  2. Complete Freedom to Design With Data
    We make it as easy as drag and drop when it comes to designing with your data. You won’t need to worry about anything except how your content looks!

What Elements Can/Should One Use?

When you use Zembula content the possibilities are pretty much endless. We recommend you start with what you have. These could include first name, abandoned cart data, product images, reviews, loyalty points, or anything you can think of. Check out the example below for an idea!

If you’d like to learn more about the Zembula and how we approach personalization and data, watch this Z-Talk!

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