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Project Background

Flipkart, founded in 2007, is a leading Indian e-commerce marketplace connecting buyers and sellers across multiple product categories, where customer support performance directly impacts CSAT, resolution efficiency, and retention.

Due to a decline in retention rates, this project analyzes customer support call data to identify key issues affecting customer experience. It evaluates factors like issue type, resolution time, channels, and regional trends to uncover actionable insights for improving service quality and retention.


Insights and recommendations are provided on the following key areas:

  • Issue Type & CSAT Analysis: Evaluation of customer issues and their impact on CSAT

  • Channel & Call Center Performance: Analysis of support channels and call centers to assess variations in CSAT and identify performance gaps across high-volume centers.

  • Regional & Temporal Trends: Examination of CSAT variations across states, along with trends over time and day-level patterns affecting customer satisfaction.

  • Operational Metrics & Sentiment Impact: Assessment of response time, call duration, and customer sentiment to determine their influence on CSAT


Data Structure & Initial Checks

The dataset consists of 30,000 customer support interaction records, where each row represents a unique customer service call. It captures customer details, interaction attributes, and performance metrics used to analyze customer satisfaction (CSAT).

Column Name Data Type Description
id 🔑 INT Unique identifier for each customer interaction
customer_name VARCHAR Name of the customer
Gender VARCHAR Gender of the customer (e.g., Male, Female)
sentiment VARCHAR Customer sentiment (Positive, Neutral, Negative, etc.)
csat_score INT Customer satisfaction score (e.g., 1–10 scale)
call_timestamp DATETIME Date and time of the customer interaction
reason VARCHAR Reason for the call (e.g., Billing, Service Outage)
city VARCHAR City of the customer
state VARCHAR State of the customer
channel VARCHAR Support channel (Call Center, Chatbot, etc.)
response_time VARCHAR SLA status of response time (Within SLA, Above SLA, Below SLA)
call_duration_minutes INT Duration of the call in minutes
call_center VARCHAR Call center handling the interaction (e.g., Delhi, Mumbai)

Project Resources

About

Analyzed Flipkart customer support data using Excel to uncover customer retention drivers and built an Excel dashboard for actionable insights.

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