AI and marketing

Today’s marketers are searching for new ways to find their ideal customer audience. However, the digital marketing environment is now changing very rapidly, so reaching customers is becoming much more difficult every year. Using modern technology, such as artificial intelligence, is critical to getting results.

In marketing, AI can be used to:
- аnalyzing data and sorting it;
- natural language processing;
- media buying;
- automatic decision making;
- generation of personalized content in real-time.

With the right approach, marketers can use AI to transform their marketing program by extracting the most valuable facts from the database and influencing it online. Today’s AI platforms can make decisions in record time and determine the best allocation of funds across media channels, and perform analysis of the most effective places to place ads to consistently and effectively engage customers and maximize the impact of campaigns.

Neural networks can be used to deliver personalized content to customers at specific points in their life cycle. AI can also come in handy in identifying customers who could potentially opt out of further interactions and send them information that will get them to re-engage with the brand.

Many organizations struggle to keep up with all the data that digital campaigns produce, making it difficult to tie success to specific campaigns. AI platforms provide granular insights into strategies that work so that this data can be replicated across channels and budgets allocated accordingly.

AI can perform tactical analysis many times faster than its human counterparts and apply machine learning to draw quick conclusions based on the campaign and client context. This gives team members time to focus on strategic initiatives, which can then be used in neural network-enabled marketing. With AI, marketers no longer have to wait until the end of an ad campaign to make a decision, they can apply analytics online to make better media choices.

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