Create appropriate segments based

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If you want to better understand your customers, you can use third-party data and deep learning to deeply understand the interests and intentions of customers in various channels, so as to accurately understand what stage of life they are in. For example, a personal finance bank might target 30 -something women looking for a high-quality office suite, while bahamas whatsapp number data 5 million a peer-to-peer lending service might target entrepreneurs looking to expand into emerging markets.

Once you have this information, you can filter out and on customers' interests, intentions, and life stages. Then, deep learning can identify the customer groups most likely to apply for credit cards or loan services by predicting future conversion rates and advertising return on investment.



In addition, customer segmentation can also make marketing campaigns and advertising more personal, thereby enhancing customer interaction. For example, Andy has just paid off his car loan and has been browsing articles about new apartments and property taxes, which indicates that he may be interested in applying for a home loan in the near future. At this time, if you can push notification ads through email or web pages to market the home loan plan with the best interest rate to the other party, you will most likely be able to successfully establish a positive interaction with him.