How did Midjourney neural network creatives improve the results of targeted advertising?Senior Key Account ManagerAccoun
Posted: Tue Feb 18, 2025 7:15 am
Integration of Midjourney into advertising activities and its benefits
Midjourney is a visual AI platform that can be used to create images and videos for subsequent use in advertising. The neural network analyzes a large amount of data and generates new unique images used for graphic elements and creatives in advertising campaigns, for filling a website or posts on social networks.
Among the advantages of the neural network for the advertising sphere, we note significant time savings, which allows you to quickly create many creative options for testing. And also the ability to adapt design parameters to the needs and preferences of the brand's target audience, which makes AI a virtually universal tool.
How to make high-quality AI creative?
To create effective creative using a neural network, it is jiangsu mobile number database necessary to clearly formulate the task for the robot. The result will depend on how accurately the AI understands it. In order for the result to meet expectations, it is necessary:
Choose a suitable topic. Creatives from neural networks are not suitable for all segments. For example, this is not the best option for niches that require the most realistic images - medicine and real estate. AI does not always succeed in generating images of people well, but it copes well with creating creatives with animals.
Write the request clearly. It is important to clearly set the technical task for the AI: the more detailed the promt is written, the better the result will be. It is necessary to describe the composition, color and style, the position of the main object and other parameters. In this case, it is worth using short sentences in English, even for neural networks that understand requests in Russian.
Be prepared for multiple edits. Neural networks are only just developing and the expected result is not always achieved immediately. Often, you have to make edits several times and rework creatives.
Track performance indicators. For example, you can create a table comparing the average indicators of creatives created by a designer and those generated by a neural network. This will help analyze the data and understand whether it is worth continuing to use AI creatives in advertising.
Midjourney is a visual AI platform that can be used to create images and videos for subsequent use in advertising. The neural network analyzes a large amount of data and generates new unique images used for graphic elements and creatives in advertising campaigns, for filling a website or posts on social networks.
Among the advantages of the neural network for the advertising sphere, we note significant time savings, which allows you to quickly create many creative options for testing. And also the ability to adapt design parameters to the needs and preferences of the brand's target audience, which makes AI a virtually universal tool.
How to make high-quality AI creative?
To create effective creative using a neural network, it is jiangsu mobile number database necessary to clearly formulate the task for the robot. The result will depend on how accurately the AI understands it. In order for the result to meet expectations, it is necessary:
Choose a suitable topic. Creatives from neural networks are not suitable for all segments. For example, this is not the best option for niches that require the most realistic images - medicine and real estate. AI does not always succeed in generating images of people well, but it copes well with creating creatives with animals.
Write the request clearly. It is important to clearly set the technical task for the AI: the more detailed the promt is written, the better the result will be. It is necessary to describe the composition, color and style, the position of the main object and other parameters. In this case, it is worth using short sentences in English, even for neural networks that understand requests in Russian.
Be prepared for multiple edits. Neural networks are only just developing and the expected result is not always achieved immediately. Often, you have to make edits several times and rework creatives.
Track performance indicators. For example, you can create a table comparing the average indicators of creatives created by a designer and those generated by a neural network. This will help analyze the data and understand whether it is worth continuing to use AI creatives in advertising.