In this chapter, we are going to focus on the second use case of predictive analytics in marketing, the customer lifetime value that we discussed in the previous chapter. In marketing, it is always a challenge to budget for marketing campaigns. We do not want to spend too much and result in a negative ROI. However, we also do not want to spend too little and have no visible impact or outcome. When determining the budget for a marketing strategy, it is essential to know what the expected return will be from running a given marketing campaign. Understanding what the customer lifetime value (CLV) is for individual customers can help marketers justify their marketing budget, as well as target potential high-value customers. In this chapter, we are going to discuss in more detail the concept and the advantage of calculating the CLV, as well as how to build a...
United States
Great Britain
India
Germany
France
Canada
Russia
Spain
Brazil
Australia
Singapore
Hungary
Philippines
Mexico
Thailand
Ukraine
Luxembourg
Estonia
Lithuania
Norway
Chile
South Korea
Ecuador
Colombia
Taiwan
Switzerland
Indonesia
Cyprus
Denmark
Finland
Poland
Malta
Czechia
New Zealand
Austria
Turkey
Sweden
Italy
Egypt
Belgium
Portugal
Slovenia
Ireland
Romania
Greece
Argentina
Malaysia
South Africa
Netherlands
Bulgaria
Latvia
Japan
Slovakia