{"id":9966,"date":"2026-01-24T07:02:21","date_gmt":"2026-01-24T07:02:21","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2026\/01\/24\/from-transactions-to-trends-predict-when-a-customer-is-about-to-stop-buying\/"},"modified":"2026-01-24T07:02:21","modified_gmt":"2026-01-24T07:02:21","slug":"from-transactions-to-trends-predict-when-a-customer-is-about-to-stop-buying","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2026\/01\/24\/from-transactions-to-trends-predict-when-a-customer-is-about-to-stop-buying\/","title":{"rendered":"From Transactions to Trends: Predict When a Customer Is About to Stop Buying"},"content":{"rendered":"<p>    From Transactions to Trends: Predict When a Customer Is About to Stop Buying<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<p>Customer churn is usually a gradual process, not a sudden event. In this post, we analyze monthly transaction trends and convert regression slopes into degrees to clearly identify declining purchase behavior. A small negative slope today can prevent a big revenue loss tomorrow.<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/from-transactions-to-trends-predict-when-a-customer-is-about-to-stop-buying\/\">From Transactions to Trends: Predict When a Customer Is About to Stop Buying<\/a> appeared first on <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/p>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Gustavo Santos<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/from-transactions-to-trends-predict-when-a-customer-is-about-to-stop-buying\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>From Transactions to Trends: Predict When a Customer Is About to Stop Buying Customer churn is usually a gradual process, not a sudden event. In this post, we analyze monthly transaction trends and convert regression slopes into degrees to clearly identify declining purchase behavior. A small negative slope today can prevent a big revenue loss [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,4657,211,83,803,157,238],"tags":[439,4658,2202],"class_list":["post-9966","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-churn-analysis","category-data-analysis","category-data-science","category-linear-regression","category-python","category-statistics","tag-customer","tag-transactions","tag-trends"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/9966"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=9966"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/9966\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=9966"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=9966"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=9966"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}