AI Jargon Buster
AI news and the language around it, simplified.
What is a Customer Lifetime Value Prediction (CLV)?
Customer Lifetime Value Prediction is a method where software analyzes past buying habits to estimate the total profit a company will earn from a specific customer over the entire course of their relationship. By looking at patterns in how often someone buys, how much they spend, and how long they stay active, the system assigns a future value to each person. This allows a business to move beyond simple sales history and focus on long-term potential rather than just immediate transactions. It effectively turns raw data into a roadmap for understanding which customers are most likely to grow with the brand over time.
Why this matters to you
It helps managers decide exactly how much to spend on marketing to attract new people. It also identifies your most loyal customers so you can offer them special rewards or personalized service to keep them happy for years to come.
How you might hear this
Our marketing department is using customer lifetime value prediction to identify which segments of our audience are worth the highest advertising spend this quarter.
AI Jargon Buster
Search any AI term, explained in plain English.
Type a term below and search. You will be taken straight to the tool.
Related terms
See how your CV performs against the ATS algorithms that screen candidates before a human ever reads your application.
Try the CV Optimiser →How AI job displacement actually works, what it means for your career, and what to do about it. Written by someone who has been in recruitment for 25 years.
When the Ground Shifts →