{"version":"1.0","provider_name":"Data Science made in Switzerland","provider_url":"https:\/\/blog.zhaw.ch\/datascience","author_name":"dtli","author_url":"https:\/\/blog.zhaw.ch\/datascience\/author\/dtli\/","title":"Selecting Customers by their Lifetime Value","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"0lKTjI7vhh\"><a href=\"https:\/\/blog.zhaw.ch\/datascience\/selecting-customers-by-their-lifetime-value\/\">Selecting Customers by their Lifetime Value<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/blog.zhaw.ch\/datascience\/selecting-customers-by-their-lifetime-value\/embed\/#?secret=0lKTjI7vhh\" width=\"600\" height=\"338\" title=\"&#8220;Selecting Customers by their Lifetime Value&#8221; &#8212; Data Science made in Switzerland\" data-secret=\"0lKTjI7vhh\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/blog.zhaw.ch\/datascience\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"In business, especially marketing, it is often necessary to perform customer selection. The typical task involves defining a set of customers for upselling, cross-selling or retention actions. Traditionally, the selection criterion is the positive response probability. While this identifies customers who are the most likely to respond, it does not necessarily provide the optimal solution [&hellip;]","thumbnail_url":"http:\/\/blog.zhaw.ch\/datascience\/files\/2013\/11\/COLOURBOX7764582_small-300x300.jpg"}