Customer Lifetime Value (CLV) represents the total revenue a company can expect from a customer throughout their relationship. A higher CLV leads to increased profitability and customer retention. In the world of Revenue Operations (RevOps), understanding and improving CLV is crucial. AI platforms, like Squark, enable businesses to analyze various types of data to predict and enhance CLV, making advanced analytics accessible even for technical and non-technical teams.
Start by analyzing different data types to predict and improve CLV:
Connect to this data in a platform like Squark and use it to create training data. Next, pick what you want to predict. A good AI platform with simplify the process of predicting and enhancing CLV. AI model classes, such as regression, time series, and classification can be used:
Using AI to empower businesses to predict and improve CLV means analyzing a variety of data types and leveraging advanced AI models. Businesses who adopt AI solutions like Squark can make data-driven decisions, create personalized marketing campaigns, and optimize revenue growth – all of which will grow CLV. Find out more by reaching out to Team Squark.
Squark is a no-code AI as a Service platform that helps data-literate business users make better decisions with their data. Squark is used across a variety of industries & use cases to uncover AI-driven insights from tabular and textual data, prioritize decisions, and take informed action. The Squark platform is designed to be easy to use, accurate, scalable, and secure.