Success Story

Connected Digital Experiences

Reducing Customer Attrition with Attrition API for a Global MedTech Major​

Ad Tech company executes Real-Time contextual classification of webpages using multifold classification and interpretation models by leveraging Zimetrics tech-enabled services

Challenges

The client faced several challenges related to customer attrition. They needed to:

  • Identify unhappy customers in a timely manner.​
  • Detect potential customer churn to proactively engage and prevent attrition.​
  • Integrate attrition indicators seamlessly into their tech support application to enhance customer support and retention.​

Solution

  • Data-Driven Attrition Indicators: Analyzed business data to identify key attrition indicators, enabling us to predict potential customer churn accurately.​
  • Custom API Service: Created a powerful API service that allows the client to retrieve attrition indicators for each customer efficiently. This API enables real-time monitoring of customer health and behavior, aiding in proactive customer engagement.​
  • Scheduled API for Risk Assessment: Implemented a nightly scheduling process for the API, continuously assessing the risk of losing customers. ​
  • Seamless Integration: We seamlessly integrated the attrition insights into the client’s tech support application. Now, customer support agents have access to valuable attrition data during interactions, enabling them to personalize support and enhance customer retention efforts.​

Impact

  • Improved Customer Engagement​
  • Reduced Customer Attrition​
  • Enhanced Customer Support​
  • Data-Driven Decision Making​
  • Patient attrition predicted in advance allowing clinical support team to reach out with specific recommendation​
  • Improved patient retention by 2 fold.

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Company

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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.

Challenges

Solutions

Deep Learning

Models to categorize industry and subindustries relevant sections and denoise

Language Models

Interpret the key concepts from tables, graphs images and running texts

Vision Models

For layout interpretation and correlation of objects in the frame of moment captured

Impact / Metrics

90%+

F1 Score Harmonic Mean of Precision and Recall

50%+

Improved Relevancy Relative to Cookies

99.9%+

Realtime Data Exchange

Tech Stack

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