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How to Build a Churn Prediction Model to Predict Customer Churn

User Pilot

TL;DR Churn prediction involves identifying at-risk customers who are likely to cancel their subscriptions or close/abandon their accounts. A churn model works by passing previous customer data through a machine learning model to identify the connections between features and targets and make predictions about new customers.

Churn 105
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Customer Analytics Tools to Take your Business to the Next Level

Baremetrics

Some of the most vital business decisions depend on real-time predictive analytics solutions, advanced technologies ecosystem (machine learning algorithms, big data, business intelligence, etc.), and market segmentation. Let us now dig deeper into the customer analytics tools that are available in the market.

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170 Sales Terms From A – Z: The Updated Glossary of B2B Sales Definitions

Sales Hacker

Annual Recurring Revenue (ARR) is the value of contracted, often subscription-based revenues normalized for one calendar year. Artificial Intelligence (AI) refers to a system of computers, software, machines and processes that simulate certain aspects of human intelligence such as image perception, voice recognition and reasoning.

Scale 105
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What it takes to be a category king

Chart Mogul

Data (as machine learning techniques are increasingly accessible, data becomes a point of leverage). If you’re not aiming for the scale and returns that venture capital demands, simply being a significant player in an existing market segment can result in an enduring, profitable business. Oh how far we’ve come.