Retention

Look into your future...

…or at least your customer’s future.

Predictive Customer Lifetime Value (CLV) is a machine learning model that gives you an estimate of what each customer’s lifetime value most likely will be, based on their behavior and purchases.

HOW IT WORKS

Create segments with predictive CLV

The model is trained to follow the same basic RFM (recency, frequency, monetary value) formula as a standard CLV calculations. The difference is it doesn’t need a year’s worth of historical data, and it updates each customer’s CLV prediction with every new interaction.

When creating audience segments with predictive CLV, you can choose a defined time frame such as “customers who will spend $XX within the next 3 months” to isolate customers with high value in the near term. Or you can target customers with low CLV predictions to give them a better experience and nurture the relationship.

01.

Nurture

Know which customers need extra attention to retain their business.

02.

Evaluate

Know whether your retention campaigns are increasing overall CLV

03.

Increase revenue

Optimize campaigns, messaging and interactions to keep your customers coming back.

Explore more solutions

Predictive CLV

Likelihood to buy

Algorithmic attribution

Smart lookalike segments

Start growing your brand now

Get a demo and learn how Velocidi makes machine learning accessible to DTC brands and eliminates guess-work from marketing.