Yabble's Virtual Audiences to Mimic Real Customers

In New Zealand, insights platform Yabble has launched a product which offers real-time interaction with virtual audiences that emulate real customers.

Founded in 2013 by former Kantar exec Kathryn Topp and branding specialist Rachel O'Shea, Yabble uses machine learning and natural language processing to help brands connect with more than 62 million consumers globally, collecting data in real time. Users can build their own surveys and manage their own customer research communities, and consumers can share ideas, feedback and experiences about the products they use.

The new 'Virtual Audiences' are created using AI-generated data, dynamically based on a user's topics of interest, and able to answer survey questions, participate in one-on-one interviews with researchers, or mimic a bulletin board or forum-type research experience. This is powered by the firm's proprietary Augmented Data model, which gathers knowledge from sources including proprietary databases, academic repositories and real time web searches.

The model gathers information and synthesizes it into a 'lake of knowledge' from which insights can be mined. This consolidation of data is then used to generate personas, devise pertinent questions and answers, and summarize key insights relative to the user's topic of interest. Yabble says the new solution is ideal for kick-starting projects and gaining an understanding of customers and their behaviour; for analyzing market trends, evolving behaviour, preferences and their implications for future products and comms strategies; and to evaluate competitors. It can also be used to speed up product development, and to explore new product ideas, concepts and ad territories.

Topp comments: 'Virtual Audiences is not just a product; it's the future of insights. We're excited to offer businesses a tool that is both innovative and practical, ensuring they remain ahead of the curve'.

Web site: www.yabble.com .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.