Can AI substitute digital content in email marketing? Myth or sad truth?

An AI algorithm will not follow the rules to illustrate a specific art or an image to create an AI art. But instead, it will “learn” a distinctive aesthetic style or a design by analyzing hundreds and thousands of images by the time a request comes in. The algorithm then tries to generate new images per the aesthetics it has learned and according to the text prompt it has been given.

And different tools utilize different models of “learning.” Here are the most commonly used ones.

This particular art generation approach is made of two components: the generator and the compiler. The first one tries to produce original images, while the second contains a database of many images and "discriminates" whether the generator’s work is truly unique. The two communicate, with the generator trying to outsmart the discriminator. DALLE-E 2 typically utilizes this approach.

If you’ve been in the darkness for too long, your brain will slowly start to see different patterns, outlines, and other details. Google’s DeepDream does precisely that: it finds and enhances patterns, producing psychedelic images. Unless you code it yourself, the patterns are dictated by what the creator trained the AI with.

Neural style transfer or NST is an image stylization approach. You upload an original image of your own and turn one input image into the style of another. You could enter a photo of yourself and receive an output image of you in the style of Pablo Picasso.

You may be wrong if you think this move will save some money in your pocket as you need a skilled or right person who can correctly give the right text prompt to generate the right digital content. Furthermore, all AI platforms (including DALL-E, Midjorney, and NightCafe) are not free, and paywalls once you cross the free pass they initially offer.

On the other hand, AI platforms are steadily gaining more popularity among email marketers. AI can help them frame email marketing strategies more appropriately as the tool can analyze big data efficiently and much faster than a human brain does.

In our opinion, the effectiveness of AI art is rapidly growing, as the algorithms are beginning to learn and analyze more data. Perhaps in the future, a hundred years from now, we may see whether it can fully delegate a designer's work. Right now, we consider AI a powerful and magnificent addition to the marketing department.

For a concept that may take a week for a designer to fully discuss and create, a machine with the right set of keywords can develop 20 alternative designs in a mere minutes. That’s just how big the potential is for AI image generators. These are a few of the concerns that a designer could harbor. It’s hard to be a skilled human these days with the rise of machines and algorithms.

The AI digital content can raise your audience engagement, demonstrate creativity and bring positive emotions to your customers. However, the AI algorithm is still far from perfect. Not to mention that any email has closely stuck to the brand guidelines of one company.

Our piece of advice: try to use it in your company and track how your marketing strategy will perform, combine it with your designer, and experiment.

The fashion industry has begun to employ artificial intelligence to radically alter how firms make, market, and sell their items. AI not only simplifies the marketing and selling of goods at a time when brands are seeking new, more effective ways to generate demand for their products, but it also improves the sales system and the sales process through intelligent automation, as well as enhancing the shopping experiences of consumers.

Long one - try to understand how the keyword prompt works, practice, and illustrate your digital content in your newsletter. The tricky part is not in the “creation process”, but where you would use this image in your email.

If you create an email wireframe, describe what the newsletter will concentrate on and where the images will be placed - then you can try generating your visual content. If you are working on a series of welcome emails, pick up some keywords with a user-friendly, warm, and beginner approach. Below are a few examples: