Hakuhodo Inc. is pleased to announce the launch of “DATA GEAR Voice Analysis,” a consulting service that uses generative AI to visualize and analyze voice of the customer.
In recent years, huge amounts of customer data have been generated from many channels, including social media, review sites, and customer support, and the proper use of this data has become an important source of competitiveness for companies. However, while the amount of data is increasing, companies are facing the challenge of not being able to extract valuable insights from it and use it quickly and accurately. In addition, customers are also starting to have higher expectations of companies, and they are particularly looking for immediate responses to negative experiences and proactive approaches that predict potential needs.
“DATA GEAR Voice Analysis” analyzes a variety of “consumer voice data” held by companies, such as surveys, chat logs, customer support records, and word-of-mouth data, to discover and provide insights that will accelerate the growth of companies.
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By utilizing the consumer insights that Hakuhodo has accumulated over the years and advanced data analysis functions that use generative AI, it is possible to quickly discover consumers’ latent needs and dissatisfactions from vast amounts of data.
In particular, it is characterized by incorporating marketing logic specific to each industry and company into the generative AI to provide unique insights suited to each individual company. This helps clarify issues and policy directions that are often overlooked with traditional analytical methods, helping to strengthen business.
In addition, this service will also help client companies build a system that allows them to analyze and utilize consumer feedback data generated in-house using AI, enabling companies to continuously use “consumer feedback data” to realize data-driven marketing and improve customer experience.
“DATA GEAR Voice Analysis” provides flexible consulting tailored to the needs of each company, improving the accuracy of data utilization at every stage, from quick analysis to continuous monitoring and the formulation of analysis requirements definition. In addition, it delves into the depths of customer needs and dissatisfaction, provides deep insights to create opportunities for new market development, and contributes to a precise understanding and optimization of target segments. This is expected to improve the marketing results of companies.
Primary use cases:
Extracting industry-specific insights: Discover insights based on the unique challenges of each industry and company, and create new business opportunities.
Early detection of consumer dissatisfaction and risks: Analyze data on negative reviews and consumer dissatisfaction to quickly identify risks.
Understanding the reaction to new product launches: Analyze market reactions to new products and services and understand the reactions, such as whether they are reaching the target audience.
Verify the effectiveness of marketing measures: Evaluate the performance of campaigns and advertising measures and identify areas for improvement.
Understanding consumer purchasing behavior and trends: Deeply understand consumers’ purchasing motivations and decision-making processes, and identify suggestions that can lead to sales promotion.
Through DATA GEAR Voice Analysis, which combines generative AI with human knowledge, 博報堂 will transform consumer feedback into a growth driver for companies and help realize data-driven business strategies.
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