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<\/p>\nIn a proliferated multi-channel world, every brand needs to win the heart and mind of the consumer to acquire and retain consumers. They need to set up a foundation of empathy and connectedness.<\/p>\n
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Artificial intelligence combined with a human-centric approach to marketing might seem a contrarian model. The truth is that machine learning, AI and automation are vital for brands today to churn data into empathetic customer-centric experiences. For marketers, AI-based technology solutions, serve as a scalable and even customizable empathy tool capable of understanding the situation and motive behind consumer interactions. This is the rise of artificial empathy when brands target individual consumer needs and connect with them at a deeper level than mere transactional exchanges.<\/p>\n
Artificial empathy and data application<\/strong><\/p>\n Technology provides us with data and insights about what the customer has done but also nuggets and nuances that help anticipate future needs and requirements. This translates into analysing reams of data to detect wider patterns or evolving in preferences. Businesses cannot just rely on research and data teams to glean what customers are throwing back at them. The need right now is to be active listeners with ears on the ground and an ability to respond in real time.<\/p>\n Data literacy and relevant interactions is the nervous system on how customer experiences need to be woven and executed. Artificial empathy in marketing commences with a consumer-centric perspective and manifests into insights that reflect what data has been elicited by the brand\u2019s customer for meaningful next steps. Artificial empathy now merges data intelligence with AI<\/a> and predictive modelling tools that operate across extends beyond all moments of truth including websites, store visits, social media or customer service. Some examples:<\/p>\n Artificial empathy and the human touch<\/strong><\/p>\n The consumer today is always on, digitally. Herein, lies the opportunity to create new and exceptional experiences. While retaining the hearts and minds of the consumers across the experience journey.<\/p>\n Artificial empathy is beneficial to advertisers in understanding how customers emotionally connect to the brand. Insights can be utilized to evolve content and messaging to help optimize campaign performance. Machine learning algorithms combined with consumer behavior can offer suggestions improving campaign performance. Such algorithms can be deployed to fine tune demand forecasting and price sensitivity across target segments along with returning purchase behavior.<\/p>\n Replacing the human element<\/strong><\/p>\n While artificial empathy can help business create more effective interactions, it cannot replace the\u00a0\u00a0human interaction. The primary requisite that makes AI effective is human insight, contextual awareness, nuances and creativity. The human touch combined with machine intelligence drives greater ROI for targeted campaigns. The interaction between human and machine had drastically increased due to isolation or lesser social interaction since the pandemic. Natural user interfaces such as gestures have drawn a lot of buzz as they prompt humans to control machines intuitively.<\/p>\n\n
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