Case Study: Audiense achieves real-time customer affinity insights to personalize marketing with IBM Watson

A IBM Case Study

Preview of the Audiense Case Study

Uses Cognitive solutions to help clients personalize their marketing activities

Audiense, a UK social marketing company, faced the challenge of helping clients understand who their customers are and how they think so they could personalize marketing at scale. To add cognitive capabilities to its platform, Audiense partnered with IBM and integrated IBM Watson AI/Watson services to surface customer affinities from social data in real time.

By embedding IBM Watson technology into its platform, Audiense enabled analysis of unstructured social media data to identify customer segments and affinities instantly. The solution lets marketing teams optimize messaging and tailor product launches for specific audiences, giving businesses clearer, real-time insights that help them capture new market share and sharpen their competitive edge.


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Audiense

Javier Buron

CEO and Co-founder


IBM

1508 Case Studies