標題: Artificial Intelligence in Marketing: How to Use AI to Optimize Processes [打印本頁] 作者: shuklarani41423 時間: 2024-11-10 12:32 標題: Artificial Intelligence in Marketing: How to Use AI to Optimize Processes Write a creative ad, come up with topics for a content plan, develop a strategy, and much more: neural networks in marketing help solve hundreds of tasks every day. Artificial intelligence can create videos and music tracks, generate images, and write articles that resonate with the target audience.
If you want your products to be competitive and sales to break on page seo service records, ignoring modern technologies is, at the very least, short-sighted. In this article, we will tell you how to use AI to increase your business performance and turn this tool into a staff of personal assistants for promotion.
Types of neural networks for different purposes
AI can be used in almost any field of activity, but a neural network for a marketer can literally open up new horizons in work, become a source of inspiration and help with the operating system. Depending on the company's goals, several types of neural networks are distinguished.
Narrow AI
This is the most common type of AI that can be used for free. It can perform a certain range of tasks and is not capable of machine learning, but it can be entrusted with routine tasks - processing photos, generating simple images and texts, communicating with clients within the framework of a pre-written script.
Such a neural network will easily remove unnecessary elements from a photo or perform light retouching, answer frequently asked questions from site users (and, if necessary, forward the question to your manager), and come up with a simple text to describe the product.
General AI
The tasks of this neural network in marketing and advertising can be much broader, because it can improve itself in the process of interaction with a person. General AI can even make independent decisions in situations that they were not initially trained for.
Such a neural network is quite capable of generating a complex text if you explain in detail what result you would like to receive “at the output”, predict the behavior of your clients based on data about their actions on the site, and even independently create a full-fledged promotion strategy.
The quality of the result you get from interacting with the neural network depends entirely on the prompt – a hint with which the artificial intelligence receives tasks. An example of a prompt is any of your messages in ChatGPT. If you need to generate a winter landscape, you enter a message like “Create an image of winter mountains with a forest and a small house” into the command line. The more detailed the prompt, the better and more detailed the finished picture will be. Accordingly, if you ask the AI to segment the client base that you upload to the command line, it will choose the criteria for dividing the audience on its own. Therefore, it is better to specify the conditions in advance.
Super AI
This is a category of neural networks that mere mortals can only dream of. Such technologies are still in development, but scientists assure that Super AI will be able to completely replace people in the future, performing even the most complex tasks.
How to use artificial intelligence in advertising and marketing?
Digital experts highlight several tasks that neural networks can easily handle.
Generation of advertising materials
An advertising offer should cover the pain points of your target audience, be short and concise, and also distinguish the company from competitors. AI can easily cope with the task if it is specified.
It is recommended to specify precise requirements for the finished text in the prompt: you can write which keywords should be used and which should be excluded, ask the neural network to change the style of the message or add assertiveness to it. After light editing and a little adaptation, such creative will be indistinguishable from that created by a professional copywriter. Moreover, studies of a number of cases in Yandex. Direct clearly demonstrate that the conversion of advertisements created by marketers using AI is much higher than that of texts written by a person.
Among the capabilities of neural networks is the ability to create visual materials: unique videos and images. We have already noted above that the prompt in this case should be as specific as possible. If possible, try not to involve AI in creating images with people, although in advertising it is believed that the image of a real person is always perceived by the audience better. The mechanisms of neural networks are not yet so perfect, and if you look closely at the pictures created by AI, you can see a lot of implausible, and sometimes frightening details. For example, a couple of extra fingers or a hand that does not belong to anyone depicted in such a photo.
