EMI Tenure Affinity Testing – A/B Testing

This project is designed to expose the learners to various data visualization techniques and A/B testing to validate hypotheses.

EMI Tenure Affinity Testing - A use case for A:B Testing
  • 1 bar graph
    Difficulty: Beginner

    No prior knowledge or experience with data required.

  • Asset 1
    Duration: Approximately 2 hours

Case Overview

  • A/B testing, commonly referred to as split testing, is the technique of comparing the conversion rates of two versions of the same web page that are displayed simultaneously to distinct groups of website users.
  • For a debt collections company identifying the right offering to each customer is a key component in an effective call planning strategy. Marketers spend hundreds of billions each year on marketing campaigns aimed at attracting, retaining and upselling customers.
  • Despite this huge investment, determining the efficacy of these initiatives and how they can be upgraded can be incredibly difficult.
  • Learn how A/B Testing can be used by a debt management firm to find out the effectiveness of the EMI tenure strategy.

What’s included

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Lifetime Access

Access this project for life once completed

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Flexible Scheduling

Start learning online immediately, at your own pace

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Desktop Only

We recommend completing this project on a desktop

Skills You Will Learn

Data Management

Data Visualization

Business Analysis

Statistical Analysis

Hypothesis Testing

A/B Testing

Chi-Square Test

Associated Learning Tasks

Case Context

  • The primary objective of this case is to ascertain the response of people under the age of 45 and those over the age of 45 to two distinct campaigns with varying EMI terms.
  • A common approach for determining the Return on Investment (ROI) of an advertisement is to conduct an A/B test.
  • A/B tests help marketing companies target customers with two distinct intervention strategies.

  • Campaign A has a 12-month, 24-month, and 36-month EMI period, while Campaign B has a 48-month, 60-month, and 72-month EMI period, respectively.
  • The case has a systematic experimental investigation for a debt management firm to find out the effectiveness of the?EMI tenure strategy.
  • Two campaigns were run, each with a unique EMI structure and targeting a different age group.

  • This measurement can be used for not only validating whether a particular customer should be granted loans or not but also helps in calculating loans for each of the applicant.
  • By comparing two versions of EMI, A/B testing allow banks to compute and offer most?effective EMI option to the customers.
  • Helps organisations to cater customer specific needs.

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