{"id":1313,"date":"2019-02-15T10:32:03","date_gmt":"2019-02-15T07:32:03","guid":{"rendered":"http:\/\/kusuaks7\/?p=918"},"modified":"2021-05-11T14:10:14","modified_gmt":"2021-05-11T14:10:14","slug":"change-how-you-solve-churn-at-your-company-with-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/www.experfy.com\/blog\/ai-ml\/change-how-you-solve-churn-at-your-company-with-artificial-intelligence\/","title":{"rendered":"Change how you solve Churn at your Company with Artificial Intelligence"},"content":{"rendered":"

Ready to learn Machine Learning? Browse courses<\/a> like Machine Learning Foundations: Supervised Learning<\/a> developed by industry thought leaders and Experfy in Harvard Innovation Lab.<\/em><\/strong><\/p>\n

Have you watched the movie, <\/em>Minority report<\/em><\/a>, where Tom Cruise saves lives by detecting crimes beforehand?<\/em><\/p>\n

In this post, you will know how to proactively save your customers from churning by detecting it beforehand.<\/em><\/p>\n

This is part of the Solving Churn blog series. We have spoken about how Churn is hard to solve with current methods in our previous post.<\/em><\/p>\n

\"experfy-blog\"<\/p>\n

Solving Churn Part 1: What is Churn and why should Consumer Internet companies worry about it?<\/a><\/p>\n

Sections:<\/strong><\/p>\n

    \n
  1. Introduction<\/strong><\/li>\n
  2. Value of Predictions<\/strong><\/li>\n
  3. The Return on Investment<\/strong><\/li>\n
  4. Conclusion<\/strong><\/li>\n<\/ol>\n

    With more and more money pouring into internet companies, companies have been collectively spending billions of dollars in growing the user base on their platform and fight off the cutthroat competition to survive in their respective domain or vertical.<\/p>\n

    But the sad reality is that companies on an average lose 80 percent <\/em><\/strong>of their customers in the first 30 days <\/strong>of acquisition<\/a>.<\/em><\/p>\n

    So, for example, if you had a marketing budget of $1000<\/p>\n

    Money Spent= $1000<\/em><\/p>\n

    Money wasted = $800<\/em><\/p>\n

    Future LTV wasted= <\/em>\ud83d\udcb8\ud83d\udcb8\ud83d\udcb8<\/em><\/p>\n

    Not many companies can survive at scale if the Churn problem is not mitigated as soon as possible.<\/p>\n

    2. Behaviour Predictions can save the day \ud83d\udd2e<\/strong><\/p>\n

    I bike to work every day in Bangalore which is known for its chaotic traffic. The likelihood of one reaching from point A to point B is determined by how good one is at anticipating the movement of vehicles and pedestrians so that one can avert a potential crash.<\/p>\n

    This sort of skill comes from experience riding on these roads for a long period of time.<\/p>\n

    Let’s break down how one is able to do this,<\/p>\n