Context
Thousands of products are launched every year, and 80-85% of them end up as failures. Brands that succeed have tied how successfully a brand delivers consumer experiences to creating and sustaining loyalty. Creating, launching, and gaining successful adoption of a product requires innovation and calculation and an understanding of customer needs.
While brands measure traditional behavioral metrics to understand their consumers, it is also important to use emotional metrics. When a brand connects with consumers’ emotions, the payoff can be unprecedented.
Emotion AI technology helps companies hyper-personalise physical and digital experiences both online and offline, thus increasing sales. Combining behavioural and sensory data, it has the potential to create personalised experiences for users and could help brands achieve real-time empathetic marketing. This especially becomes important in a post-Covid world where consumers expect a more human approach to product and marketing.
“While adopting a more AI-enabled, data-driven approach to delivering positive customer interactions eliminates much of the guesswork involved in creating a consumer-centric experience, there’s more, deeper technology that can be utilized. Specifically, Emotion AI can go even further, helping companies connect with users at the deepest level possible,” writes Ranjan Kumar, CEO, Founder, Entropik Tech for Built In.
Emotion AI has become a pivotal aspect to winning over consumer trust, and businesses are shifting their focus when trying to understand their consumers and move past traditional sales metrics. AI capabilities provide brands with actionable feedback in less time and reduced cost. This technology will enable brands to deliver more relevant messages to highly segmented audiences and give them more meaningful experiences.
Read about how adopting a more AI-enabled, data-driven approach to delivering positive customer experiences and how Emotion AI can go even further, helping companies connect with users at the deepest level possible. The full article can be found here at Technative.
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