As an official ecosystem partner of IBM, Earshot is now leveraging the cognitive insight of IBM’s Watson to further inform real-time relevancy within Decibel Level™ through variables such as personality traits, complex image recognition, and advanced sentiment analysis.

Within the Earshot platform, clients can now control the proper weighting of Decibel Level™ by adjusting levels of importance to these different variables and many others including location, keywords, bios, or even weather. In one campaign, the word “runner” in someone’s bio may deserve to be more heavily weighted whereas another campaign might emphasize a certain personality trait like “openness” when earned media and amplification is the goal.

A Customer’s Persona Includes a Customer’s Personality

Within these personas are specific personality types that define who is more likely to be receptive to their product or service while helping them define the type of messaging that will resonate most effectively with that target audience.

Decibel Level™ powered by IBM Watson Personality Insights now gives Earshot clients the power to now identify, prioritize, and properly message target consumers at the right place, right time based on personality type. Leveraging the sophisticated linguistic analysis of Watson within social media to infer the personality traits, instrinsic needs, and personal values, Earshot’s Decibel Level helps clients discover real-time relevancy in an entirely new way.

Imagery Tells Stories and Shares Real-Time Emotions that the Written Word Can’t Often Capture

The volume of photos shared through social media is expected to double to over 1 billion per day in the next 12 months. Earshot recognizes the powerful insight that photos give marketers as they work to re-apply real-time relevance to their campaigns. As a result, Earshot’s Decibel Level™ is now being informed by sophisticated image analytics computing to bring even more value to brands and their agencies.

The interpretation of multiple objects and concepts within complex visual scenes, just like humans do, can be an incredibly valuable way for brands and their agencies to identify real time relevance through Decibel Level™.

Decibel Level™ powered by IBM Watson Image Tagging automates the task of tagging and classifying images into useful categories such as streets, stores, beaches, landscapes, mountains, and detecting people, faces, etc. When provided an image file or URL, the API returns between 0 and 20 keywords, summarizing scenes, objects, and stylistic features. The API is also capable of identifying 3D objects such as chairs, dogs, and buildings.