The Impact of AI on Targeted Advertising
Posted: Tue Jan 21, 2025 6:14 am
The basis of targeted advertising is the collection and analysis of data about social network users. The use of neural networks allows you to make advertising more effective: more accurately target the target audience, select the optimal ad format, and determine the best placements.
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Why Professionals Shouldn't Be Afraid of AI Taking Their Jobs
Predictive Analytics
Neural network algorithms are used to process china telegram number database large data sets and more successfully predict user behavior in various situations, predict their reaction to various advertisements. This helps marketers and targetologists create an image of the target user, collect a database of people who are highly likely to convert (send an application, make a purchase).
AI uses a large data set to find the user to show the ad to. Thus, the system analyzes past purchases, behavior on the Internet and social networks, actions on the company's website, etc. All this allows you to identify people who are ready for conversion and show them ads.
Major players in the Russian targeted advertising market are already successfully using AI. For example, in VK Ads, neural networks help predict the reach and effectiveness of campaigns launched on the platform. The predictive capabilities of AI allow you to see errors in launching advertising at an early stage and adjust your strategy.
Read also:
Why Professionals Shouldn't Be Afraid of AI Taking Their Jobs
Predictive Analytics
Neural network algorithms are used to process china telegram number database large data sets and more successfully predict user behavior in various situations, predict their reaction to various advertisements. This helps marketers and targetologists create an image of the target user, collect a database of people who are highly likely to convert (send an application, make a purchase).
AI uses a large data set to find the user to show the ad to. Thus, the system analyzes past purchases, behavior on the Internet and social networks, actions on the company's website, etc. All this allows you to identify people who are ready for conversion and show them ads.
Major players in the Russian targeted advertising market are already successfully using AI. For example, in VK Ads, neural networks help predict the reach and effectiveness of campaigns launched on the platform. The predictive capabilities of AI allow you to see errors in launching advertising at an early stage and adjust your strategy.