Selected Template

Customer Lifetime Value

Customer Lifetime Value

Predicting customer lifetime value is a way of identifying those customers who potentially generate the majority of your sales revenue.
With this model, you can tailor advertisements to individuals or groups of similar users and target your most valuable customer segments.

0

Benefits of CLTV through the Aliz Intelligence Platform

checkbox

Quick start on GCP with a ready-to-use model

checkbox

Automatized model retraining and deployment

checkbox

Own the model+data

checkbox

Automatic deployment, training and operation - only lightweight configuration needed

About the solution

What are the benefits of predicting CLTV?

Focus for increased profit

Focus for increased profit

A minority of customers will most likely generate the majority of profit. Identifying and focusing on this particular group is essential for accurately targeting campaigns.

Identify your target customers

Identify your target customers

By predicting the lifetime value you can easily target customers in region of interest, track their activity and identify their impact. You can also use this information to take action and plan how to move customers from one segment to another.

Better ROI by digitalizing your marketing pipeline

Better ROI by digitalizing your marketing pipeline

By measuring CLTV in correlation with other metrics you can retrieve information on how long it takes to recoup the investment in a campaign. In other words, you can get more accurate predictions of optimal Customer Acquisition Cost (CAC).

What’s under the hood?

Things you don't have to care about

Automated pipelines

Automated pipelines

The CLTV blueprint provides automated predictive modeling pipelines. This means there is no need to build your own ML pipelines – they’ve already been built for you.

AutoML

AutoML

By using SQL you can tailor the model to your needs, while still retaining the highly predictive model performance of AutoML.