In this digital world, how customers interact with brands has drastically changed especially in the last decade and half. In the past, consumers interacted through limited, disintegrated touchpoints - visiting physical stores, calling customer services, print advertisements, reading brochures, and catalogs. The customer journey now is far more complex, where consumers often begin their experience online. They are exposed to brands through multiple digital touchpoints across different channels such as social media, online advertisements, and messages delivered directly to their mobile devices. A seamless omnichannel experience with smooth transitions between devices, quick responses, instant satisfaction, and personalized interfaces has become the norm. Additionally, businesses are facing fierce competition, forcing companies to reimagine their customer journeys to drive loyalty and minimize churn. An interesting side effect of the digital transformation is that customers are now generating valuable data that businesses can harness.
Churn is one of the biggest threats to customer loyalty. To achieve long-term success, organizations must understand the "why" behind customer attrition and AI can exactly help with this. Companies that can identify the signals that reveal the causes for customer loss and address them proactively have a tremendous advantage. Machine learning algorithms can uncover hidden insights and deduce relationships using customer data. By analyzing past behavior, these algorithms detect subtle patterns such as reduced engagement, complaints, or payment delays, that indicate churn risk. With this intelligence, companies can identify the root causes of customer frustrations and take corrective action before
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