Problem solving through task decomposition

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To get around these difficulties, you can decompose the problem:

Generative AI should be tasked with creating content: text blocks, images, and other elements that make up the content of the letter.
Selecting the necessary modules from existing code: use templates and modules already created and saved in your account to compose the final letter.
Thus, we do not delegate the complex task of layout to AI, but still italy consumer email list receive a high-quality and professionally designed email.

Testing showed that a unified approach to creating AI texts increases CTOR by 41.34% , compared to manually filled emails.

AI-generated push notifications
We decided to take generative AI even further. If we can create and generate emails, why not automate the creation of push notifications? This step was taken specifically for mobile applications.

AI-generated push notifications

Context-aware message personalization

In this approach, we can choose the topic of the message — determine what we want to inform the user about. For example, it could be personalized offers. Knowing the context, such as the description of the mobile application itself, the audience, and other information that we as a CDP have about your product, makes it much easier for a marketer to generate a message that will exactly match the marketing objective.