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Background In a previous post, we described two approaches to performing customer segmentation in Tellius:

Customer retention analysis is business critical but time consuming. In this post, we showcase how to perform customer retention analysis in Tellius — the leading AI-Powered Insights & Analytics platform — using customer data, usage data, and product plan details.

Customer segmentation is the process of dividing existing and potential customers into sub-groups (also known

AI-powered Insights & Analytics is the missing layer of the Modern Data Analytics Stack that enables analysts to control a lot more of the data value chain and increase their impact on organizations.

Customer Lifetime Value (CLTV) is a critical KPI in any industry for making decisions related to sales, marketing, product development, and customer support. But tracking CLTV can be unwieldy and time consuming. Learn how Tellius simplifies this process and helps firms identify, track, and predict high CLTV customers to maximize brand potential and boost profitability/retention.

Joint customers will now be able to quickly discover new business insights and explore their data with natural language search

In this blog post by Radu Miclaus, learn about how Tellius & Looker work together to help data teams & business users alike save time and take action faster by empowering them to train models and start taking action in minutes.

This post showcases how Tellius can be leveraged to more easily perform an analysis of a drug’s commercial performance using 3rd party pharmaceutical sales data combined with internal sales and operations data.

By Donald Farmer, Principal at Treehive Strategy Having worked in the data and analytics space