Project 03

Retention & expansion of user base via referral marketing

Bajaj Finserv Co-brand Credit Cards

15% increase in new customers

Framework replicated for other products

Project Overview

How do you get existing customers to pull in new customers? Leverage the power of referrals from family or friends. A whole team of designers and writers got down to create a referral framework for credit cards.

Problem Statement

Bajaj Finserv Co-brand Credit Card team wanted to target New-To-Bajaj customers (NTB). Acquiring completely new customers comes with its own set of problems:

Figuring out strategies that help us reach the right audience

Keeping cost of acquisition under control

Retaining the users and getting them to use the card




Industry

Bajaj Finserv Co-brand Credit Cards

My Role

Lead UX writer

Platforms

Mobile (iOs, Android), Website

Timeline

September 2024 - January 2025

Persona

Aishwarya Chawla

Manager at LIC

Aishwarya is a 40 year old, working in LIC, living in Delhi. She lives in a rented flat with her 2 children and husband. She has to often dip into her savings to bankroll any kind of expense like medical expenses, booking flights or funding her children's education.

Age: 40

Location: Delhi

Tech Proficiency: Moderate

Gender: Female

Goal

To get a card for expenses falling outside of her monthly budget

To get benefits like cashback, discount, offers, etc.

To get a card that her frineds or family has used before

Frustrations

Does not trust online reviews of the card

Complicated & lengthy referral process

No incentive to complete application

Process

01. User Research

Conducted user interviews new users to understand their frustrations and preferences.

Analyzed user behavior data to pinpoint where users dropped off in the process.

Benchmarked against competitors like Revolut to see how referrals work

01. User Research

Conducted user interviews new users to understand their frustrations and preferences.

Analyzed user behavior data to pinpoint where users dropped off in the process.

Benchmarked against competitors like Revolut to see how referrals work

01. User Research

Conducted user interviews new users to understand their frustrations and preferences.

Analyzed user behavior data to pinpoint where users dropped off in the process.

Benchmarked against competitors like Revolut to see how referrals work

02. Insights

Users buy lending products recommended by their friends or family

Users will recommend a product based on their customer service

An uncomplicated referral programe encourages user to apply

02. Insights

Users buy lending products recommended by their friends or family

Users will recommend a product based on their customer service

An uncomplicated referral programe encourages user to apply

02. Insights

Users buy lending products recommended by their friends or family

Users will recommend a product based on their customer service

An uncomplicated referral programe encourages user to apply

03. Resolution through microcopy

Leading with benefit to be earned and potential earnings

Explaining the framework via FAQs and videos

Allowing users to refer people in their contact list

03. Resolution through microcopy

Leading with benefit to be earned and potential earnings

Explaining the framework via FAQs and videos

Allowing users to refer people in their contact list

03. Resolution through microcopy

Leading with benefit to be earned and potential earnings

Explaining the framework via FAQs and videos

Allowing users to refer people in their contact list

04. Testing & Iteration

Conducted A/B testing with 15-20 users with different CTAs and content

Gathered feedback through usability testing and refined the design based on user input.

Gathering inputs from diferent businesses on the user flow

04. Testing & Iteration

Conducted A/B testing with 15-20 users with different CTAs and content

Gathered feedback through usability testing and refined the design based on user input.

Gathering inputs from diferent businesses on the user flow

04. Testing & Iteration

Conducted A/B testing with 15-20 users with different CTAs and content

Gathered feedback through usability testing and refined the design based on user input.

Gathering inputs from diferent businesses on the user flow

Outcome

15% increase in new user accqusition
Model replicated org wide for 5+ products
Usage by existing holders increased by 5%

[Key Learnings]

Leverage word-of-mouth marketing

This way customers spend more and refer more people

Leverage word-of-mouth marketing

This way customers spend more and refer more people

Leverage word-of-mouth marketing

This way customers spend more and refer more people

Referred customers are loyal

Referred leads convert better & have a high lifetime value

Referred customers are loyal

Referred leads convert better & have a high lifetime value

Referred customers are loyal

Referred leads convert better & have a high lifetime value

Less expensive strategy

Referrals cost less than paid marketing campaigns

Less expensive strategy

Referrals cost less than paid marketing campaigns

Less expensive strategy

Referrals cost less than paid marketing campaigns

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