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6 Reasons Why Unstructured Data Is Key to an Effective Retention Program

VOZIQ

Traditional customer retention strategies only use structured data because it’s easier for their models to understand and be trained with. While structured customer data can tell you how many customers may cancel, unstructured data can reveal your customers’ wants, needs, concerns, expectations, and reasons for potentially canceling.

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Tray.io’s VP of Marketing Alex Ortiz on embracing the era of automation

Intercom, Inc.

Instead, we’re entering an exciting new moment in marketing where AI tools not only have the ability to free up humans to do the best work of their careers, they are helping companies reach their customers in a highly personal and engaging way. . Thankfully, no such Armageddon is on the horizon.

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How Artificial Intelligence and Predictive Analytics Can Help You Reduce Customer Churn

CSAT.AI

CB Insights used their own AI-powered software, Mosaic, which uses public data and predictive algorithms to provide intelligence on private companies, to compile the list. AI has successfully been implemented in this scenario as well when combined with data sets. So, if you’re not doing that, you should be.

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5 Reasons Why Traditional Retention Efforts Are Inadequate

VOZIQ

Structured Data Over-reliance. Organizations using traditional models rely on structured data – e.g., subscription information, billing details, payment history, and FICO scores, to name a few -. However, structured data is transactional, quantitative, and fails to answer ‘why’ a customer might cancel.

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Text Analytics vs Sentiment Analysis: Key Differences & Applications

SurveySensum

When the world is rapidly turning towards AI, businesses are relying on advanced techniques to extract valuable insights customer reviews, social handles, emails, chats, surveys, and whatnot. Both techniques transform raw text into structured data that can be analyzed for patterns and trends. But wait, are you doing it right?

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Why Measuring Churn Risk across Customer Lifecycle Is Critical for Recurring Revenue Businesses

VOZIQ

Enhance retention impact by leveraging unstructured data. Include unstructured data in your analysis to decipher complex customer behavioral patterns. Sole reliance on structured data sources will fail to understand the risk until it is too late or missing several addressable opportunities.

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Why Measuring Churn Risk across Customer Lifecycle Is Critical for Recurring Revenue Businesses

VOZIQ

Enhance retention impact by leveraging unstructured data. Include unstructured data in your analysis to decipher complex customer behavioral patterns. Sole reliance on structured data sources will fail to understand the risk until it is too late or missing several addressable opportunities.