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
Artificial intelligence is an important part of many industries, including digital marketing. Now let’s see what is meant by AI in digital marketing and how it works.
Here you will find some examples of AI and its mechanisms in digital marketing.
- Product / Content Recommendations:
This is a way to predict customer behavior in advance. Amazon uses “collaborative filtering” to enable recommendations for millions of customers using AI-powered recommendations. Netflix, Hotstar has also implemented a machine learning model designed to recommend content according to the morale of the viewer. The reason is that customers are accustomed to the highest level of personalized recommendations from service providers. - Data filtering and analysis:
Digital marketing has become a more data-driven discipline. Data is used more effectively to improve customer experience, personalization, improved viewership, and more. However, integrating huge amounts of data and analyzing them to determine patterns is difficult for humans. Where AI comes from. Its ability to analyze complex organizational data frees humans to perform the more intuitive creative work they are capable of. - Search engines:
AI has a profound effect on the way we search and the quality of the search experience. Google began the innovation in 2015 with the introduction of its machine learning-based algorithm, RankBrain, with the first AI research. Since then, many e-commerce websites (including Amazon) have followed in Google’s footsteps and incorporated AI to help customers in a variety of ways. - Product classification:
Some ret online retailers have discovered how machine learning can make the process of tagging and classifying products more efficient. If a different language is used by retailers to describe products such as “trainer”, “basketball shoes” and “sneaker” — the algorithm is able to understand that the products are identical and tag them accordingly. - Product cost:
Demand-based price changes are nothing new. For example, hotel rooms are on a seasonal basis. However, with the entry into the AI equation, considering the various data, the values can be determined and certainly optimized to a whole new level. Hotel brands will now help property owners determine their property list considering various aspects to improve their prices. - Predictive analyzes:
Predictive Analysis The data from data sets has a revolutionary ability to predict future trends based on AI because it was only previously possible to determine trends from data sets. Thanks to artificial intelligence, things that once could only be predetermined can now be reliably modeled, and decisions are made based on those models.
Thus, to conclude, AI has enhanced the understanding of the nature of intelligence and provided an impressive array of applications in multiple fields that help everyone succeed in marketing.