Using neural networks in marketing
Posted: Tue Jan 21, 2025 10:24 am
Almost all modern marketing services use AI. According to Gartner research, from 2015 to 2019, the number of companies using artificial intelligence increased by 270%. Moreover, this figure is growing exponentially. Setting up targeting in social media advertising accounts is also based on neural networks. AI is used in optimizing advertising campaigns, chatbots, and creative services.
For example, AI in Odnoklassniki and VKontakte independently creates birthday greeting videos for users. To do this, the program uses the faces of their friends as characters. Many well-known voice assistants (for example, Siri and Alice) are able to recognize voice commands and questions. It is also worth mentioning LipNet, which is a neural network that can read lips with an accuracy of 93.4%.
Many neural networks are used to improve search engine and social media results. This allows users to find relevant content faster. AI also indexes titles and texts. The program recommends content to users that may be of interest to them. The VKontakte news feed, TikTok, YouTube, and Netflix recommendations operate on the basis of neural networks. Below we will look at several examples.
Case: VT-metall
Find out how we reduced band database the cost of attracting an application by 13 times for a metalworking company in Moscow
Find out how
In targeting
AI is able to recognize objects in photographs. This allows for increased targeting accuracy and finding audiences that are usually missed by targeted advertising settings.
For example, a neural network for business promotion can find people who have moustaches, wear hats, and choose certain brands. Several years ago, the company "Ashmanov and Partners" developed the project "Ochkarik".
The task was to target VKontakte users who wear glasses. To do this, photos of people on the social network were analyzed. The first parsing managed to collect an audience of 263,000 accounts.
To optimize your advertising campaign
Thanks to the Albert neural network, Cosabella was able to save on the marketing department, completely eliminating it. AI automatically makes advertising purchases on various platforms such as Google Ads.
Using neural networks in marketing
The program can send letters and messages to clients, analyze information, and optimize advertising campaigns.
Albert is also used by the international fruit producer Dole Asia. With the help of this neural network for business, the company increased sales by 87%. By analyzing various parameters, the AI ​​generated recommendations for advertising placement. For example, the program determined that the highest user engagement rates are on smartphones, and transferred most of the marketing budget to this area.
AI-CD is another neural network that is used as a replacement for the marketing department. The program officially occupies the position of creative director in one of the Japanese advertising agencies. AI chooses what TV advertising will be like. As a rule, its videos are rated higher by the jury than those developed by marketers.
The LoopMe neural network is capable of optimizing advertising on mobile devices. AI independently searches for an audience. Ads are displayed based on several personalized parameters (device type, OS, user category). This neural network for business is often used by Microsoft, Audi, Philips.
Recommended articles on this topic:
9 Types of Customer Loyalty Programs
Examples of Marketing Strategies from Apple to Barack Obama
Absolutely Free Internet Advertising: 19 Options
For example, AI in Odnoklassniki and VKontakte independently creates birthday greeting videos for users. To do this, the program uses the faces of their friends as characters. Many well-known voice assistants (for example, Siri and Alice) are able to recognize voice commands and questions. It is also worth mentioning LipNet, which is a neural network that can read lips with an accuracy of 93.4%.
Many neural networks are used to improve search engine and social media results. This allows users to find relevant content faster. AI also indexes titles and texts. The program recommends content to users that may be of interest to them. The VKontakte news feed, TikTok, YouTube, and Netflix recommendations operate on the basis of neural networks. Below we will look at several examples.
Case: VT-metall
Find out how we reduced band database the cost of attracting an application by 13 times for a metalworking company in Moscow
Find out how
In targeting
AI is able to recognize objects in photographs. This allows for increased targeting accuracy and finding audiences that are usually missed by targeted advertising settings.
For example, a neural network for business promotion can find people who have moustaches, wear hats, and choose certain brands. Several years ago, the company "Ashmanov and Partners" developed the project "Ochkarik".
The task was to target VKontakte users who wear glasses. To do this, photos of people on the social network were analyzed. The first parsing managed to collect an audience of 263,000 accounts.
To optimize your advertising campaign
Thanks to the Albert neural network, Cosabella was able to save on the marketing department, completely eliminating it. AI automatically makes advertising purchases on various platforms such as Google Ads.
Using neural networks in marketing
The program can send letters and messages to clients, analyze information, and optimize advertising campaigns.
Albert is also used by the international fruit producer Dole Asia. With the help of this neural network for business, the company increased sales by 87%. By analyzing various parameters, the AI ​​generated recommendations for advertising placement. For example, the program determined that the highest user engagement rates are on smartphones, and transferred most of the marketing budget to this area.
AI-CD is another neural network that is used as a replacement for the marketing department. The program officially occupies the position of creative director in one of the Japanese advertising agencies. AI chooses what TV advertising will be like. As a rule, its videos are rated higher by the jury than those developed by marketers.
The LoopMe neural network is capable of optimizing advertising on mobile devices. AI independently searches for an audience. Ads are displayed based on several personalized parameters (device type, OS, user category). This neural network for business is often used by Microsoft, Audi, Philips.
Recommended articles on this topic:
9 Types of Customer Loyalty Programs
Examples of Marketing Strategies from Apple to Barack Obama
Absolutely Free Internet Advertising: 19 Options