Social Media Sentiment Analysis Helped a Client to Develop New Products and Improve MROI | Quantzig’s New Success Story
LONDON--(BUSINESS WIRE)--Apr 11, 2019--A global data analytics and advisory firm, Quantzig, that delivers actionable analytics solutions to resolve complex business problems has announced the completion of their latest social media sentiment analysis engagement for a leading manufacturer of electronic devices. During the course of this engagement, the social media analytics experts at Quantzig adopted a comprehensive approach to help the client gauge customer sentiments.
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SOCIAL MEDIA SENTIMENT ANALYSIS ENGAGEMENT FOR AN ELECTRONIC DEVICES MANUFACTURER (Graphic: Business Wire)
In today’s complex business scenario, it’s essential to understand customer sentiments and gauge their opinions about your brand in order to refine your offerings and marketing messages. The traditional approaches that revolve around the use of surveys, focus groups, and net promoter scores tend to fall short when it comes to handling huge volumes of data. In addition, the natural biases that exist in prompted feedback mechanisms further limit an organizations capability to track online conversations and customer sentiments.
The Business Problem: The client is a leading multinational conglomerate, specializing in the manufacturing of electronic devices. The client was looking at deploying a social media monitoring channel to transform its online social data into actionable insights. They found it challenging to monitor and track impulsive social media conversations to capture accurate customer sentiments. The client approached Quantzig to help them leverage social media sentiment analysis to find the best way to accurately process the data at scale.
Social media has undoubtedly become a huge part of everyone’s life and is slowing turning out to be the go-to platform for people to express their personal experiences and opinions on almost anything.Get in touchto know why you should leverage social media sentiment analysis to track customer sentiments.
“Social media sentiment analysis leverages text mining and analytics techniques to transform multiple unbiased conversations scattered across the digital landscape into insightful results that aid decision making,” says a social media analytics expert from Quantzig.
The Solution Offered: Quantzig’s social media analytics experts carried out an initial review of the client’s social media profiles to help them monitor their brand's performance. The offered social media sentiment analysis solutions also helped them to identify and categorize the underlying tone of conversations, which, in turn, reduced customer churn and increased the lifetime value of its customers.
This success story is a classic example of how social media sentiment analysis can help players across industries.Request a free proposalto know more about our social media analytics solutions.
Quantzig's social media sentiment analysis solutions helped the client to:
- Optimize their marketing strategies to meet customer needs
- Understand how their brand was perceived online
- Request a free demoto know how you can use social media sentiment analysis to gauge your customer’s sentiments.
Quantzig's social media sentiment analysis solutions offered predictive insights on:
- Categorizing customer sentiments to identifying key problem areas
- Building new product roadmaps
- Sentiment analysis can help you track customer sentiments and build new strategies to meet their demands.Request for more information
Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. For more than 15 years, we have assisted our clients across the globe with end-to-end data modeling capabilities to leverage analytics for prudent decision making. Today, our firm consists of 120+ clients, including 45 Fortune 500 companies. For more information on our engagement policies and pricing plans, visit:https://www.quantzig.com/request-for-proposal.
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INDUSTRY KEYWORD: SOCIAL MEDIA COMMUNICATIONS
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PUB: 04/11/2019 11:35 AM/DISC: 04/11/2019 11:35 AM