Originally Published on: Quantzig|NLP Sentiment Analysis Reduces Customer Churn by 57% for US Drug Manufacturer

Enhancing Customer Satisfaction through Advanced NLP Sentiment Analysis

Amidst the evolving landscape of the pharmaceutical industry, a major pharmaceutical and biotechnology firm in the U.S. collaborated with Quantzig to revolutionize their approach to customer sentiment analysis. This strategic partnership aimed to address intricate challenges and boost customer satisfaction through advanced Natural Language Processing (NLP) sentiment analysis.

Key Highlights of the NLP Sentiment Analysis Case Study

Project Overview

  • Client: Leading pharmaceutical and biotechnology firm based in the US
  • Challenge: Accurate capture of customer sentiments
  • Success: 57% reduction in customer churn during FY 19-20
  • Additional Benefits: Implementation of trained chatbots, adaptive customer service strategies, a refined digital marketing approach, and efficient crisis management

Engagement Overview

In the ever-evolving pharmaceutical landscape, staying ahead necessitates innovative approaches to customer engagement. This pharmaceutical giant partnered with Quantzig to leverage NLP sentiment analysis, resulting in a substantial reduction in customer churn rates and the optimization of customer service and marketing strategies.

Client Profile

A prominent player in the American pharmaceutical and biotechnology sector, headquartered in Boston, specializing in generic drug manufacturing. With a focus on treating cardiovascular diseases, arthritis, and various medical conditions, the client sought Quantzig’s expertise to enhance their customer engagement strategies.

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NLP Sentiment Analysis Challenges

The client grappled with accurately capturing customer sentiments, especially with the surge in data from social media. To address these challenges, they engaged Quantzig’s expertise in NLP sentiment analysis, opinion mining, and sentiment analysis, with a specific focus on analyzing social media data.

Key Problem Statements:

  1. Identifying Key Emotional Triggers: Recognizing messages triggering emotional responses that could influence customer behavior.
  2. Enhancing Customer Service: Identifying the best approach for adaptive customer service tailored to different customer segments.
  3. Crisis Management: Monitoring social media to mitigate brand damage following changes in customer service strategy.

The NLP Sentiment Analysis Solution

Through collaboration with Quantzig, the client gained valuable insights into social media reactions, leading to a better understanding of customer interactions. NLP sentiment analysis, combined with opinion mining, refined digital marketing communication strategies, providing enhanced support and transparency. The sentiment analysis of pharmaceutical products enabled quick analysis and visualization of key performance indicators (KPIs).

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Business Impact of NLP Sentiment Analysis

Quantzig's sentiment analysis of pharmaceutical products facilitated the redesigning of chatbots to respond to customer moods. The key outcomes included:

  • Implementation of trained and advanced chatbots
  • Deployment of adaptive customer service strategies
  • 57% reduction in customer churn during FY 19-20
  • Refinement of digital marketing strategies
  • Efficient crisis management

With decades of experience, Quantzig's customer-centric approach and advanced analytics solutions delivered outstanding results, as acknowledged by the client: “Quantzig’s experts, along with their superior data analytics solutions, helped us realize an outstanding reduction in customer churn without leaving a huge dent in the budget!”

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