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How does deep learning provide insights ?

Posted: Wed Dec 11, 2024 5:22 am
The most valuable sleepers are the customers most likely to return. But how do you find these customers? Traditional methods rely on human intuition to derive broad insights from numerous data points that are prone to misjudgment, so they are not easy to implement. In contrast, advanced artificial intelligence technologies such as deep learning can easily conduct multi-faceted analysis on the user's past behavior, viewing frequency, viewing time, device usage, viewing content and other data to identify sleeping users. users and segment them. The technology can even predict conversion rates for more than a million customer types to identify the most valuable ones.

In order to ensure the accuracy of the above process, companies also list of austria whatsapp phone numbers need to understand what sleeping users are currently interested in. Artificial intelligence can unearth other interests displayed by users outside of specific platforms by integrating historical data and third-party data. For example, Emma used to follow a certain drama series on a certain platform, but stopped using that platform after the series ended. Later, after analyzing the other party's browsing behavior on other external websites, the platform operator found that she was very interested in comedy recently because she had been paying attention to comments related to comedy series and talk shows. Once this information is obtained, the most relevant recommended items and advertising content can be used to tailor personalized marketing campaigns for Emma to successfully attract the other party to return.

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A well-known live broadcast platform operator chose Appier 's artificial intelligence solution in the hope of attracting Taiwanese customers who have not used the platform for more than seven days to return. The results proved that compared with the preset KPI , the company successfully reduced the cost per click (CPC) by 22% and the cost per customer acquisition (CPA) by 7% . In addition, through the application of dynamic advertising, the conversion rate of the platform's native advertising also jumped by 30% . The final overall data showed that 10,000 previously lost viewers not only returned to the platform, but each viewer watched an average of three videos in just one week.