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Cash loans for Retention

Client

M-KOPA

Industry

Fintech

Role

Lead Product Designer,

Customer Experience & Retention

Stakeholders

Engineering

Commercial

Data Science

Research and Insights

Legal teams

Market expansion teams

Customer care teams

About M-KOPA

Over 500 million financially excluded African adults lack access to traditional banking services. With more than 6M customers, M-KOPA provides fair and flexible financial solutions tailored to customer needs, backed by a decade of experience and successful customer repayment.

Overview of the product

M-KOPA introduced in-app cash loans as a strategic retention product to increase customer lifetime value. Previously reliant on a slower USSD-based application process, the company sought to create a faster, more engaging, and trustworthy experience for eligible customers, with the ultimate goal of driving retention and repayment.

Objective

The key objective was to design and launch an intuitive in-app cash loan application flow that would:

  • Speed up disbursement from days to minutes.
  • Improve user experience and app stickiness.
  • Increase retention sales.

Key metrics to track

Building out the feature, these were the high level metrics we wanted to achieve

20%

Improved customer retention rate

45%

Improved cash loan conversion rate

2X

Improved daily cash loans sales

25%

Improved disbursement rate

Impact

Impact of launching in-app cash loans was mind-blowing and the impact was evident immediately.

4X

Increase in daily cash loan sales.

2min

Average disbursement time.

63%

Conversion rate for cash loans.

23%

Improved repayment rate (to qualify for cash loans

1st

Higher retention sales than acquisition sales in a quarter

44%

Improved customer retention based on cash loan offer.

Research and insights

Research spanning several months involved several teams; customer insights, data analytics, data science, legal, design, commercial and several other teams.

At a high level, these were the most important insights

85%

Trust is king with financial offers.

Inconsistencies in eligibility, loan terms and slow disbursement led to high drop-off rates. Over 80% of customers expressed distrust.

95%

Nobody reads Terms & Conditions.

With phone locking tied to the cash loan, reading terms and conditions was crucial. However, over 90% skipped them.

80%

USSD experience is painful compared to competition.

80% of customers were dissatisfied with the USSD experience. Cash loans via USSD were not competitive.

Ideation, iterations and prioritisation

With all the insights, we set out to design potential solutions with several iterations. At a high level, we prioritised; Immediate Discovery, Seamless Navigation, Sufficient details for decision making and clear communication on eligibility status.

23

More than 23 rounds of validations across Kenya, Uganda & Ghana

28

An average of 28 customers per round of validations.

5K

More than 5,000 customers reached through surveys and interviews

6

At least 6 design review sessions to refine designs and the flow.

High level user flow of the cash loans product

Evolution of the M-KOPA customer app

Some of the screens in the cash loans flow

Learnings and reflections

After the launch, I realized several key lessons. Reflecting on the process from planning to execution revealed insights about the importance of adaptability and open-mindedness. These reflections deepened my understanding and offered valuable lessons for future launches and products.

Financial products are delicate

The data was overwhelming with how much attention to detail customers had. Despite low education levels, customers understood the numbers that mattered and these were the deal breakers.

Experimentation is progress

With all the learnings, we had opportunities to run A/B test experiments in production with tools like Statsig and targeted campaigns with Clevertap when launching different markets.

Segmentation is the next step

Segmentation of customers into specific clusters based on time with the product, repayment rate, payment status among others would enable customised messaging for each segment.

Life’s too short for bad design. Make the right call.

Let’s talk

Cash loans for Retention

Client

Industry

Fintech

Role

Lead Product Designer,

Customer Experience & Retention

Stakeholders

Engineering

Commercial

Data Science

Research and Insights

Legal teams

Market expansion teams

Customer care teams

About M-KOPA

Over 500 million financially excluded African adults lack access to traditional banking services. With more than 6M customers, M-KOPA provides fair and flexible financial solutions tailored to customer needs, backed by a decade of experience and successful customer repayment.

Overview of the product

M-KOPA introduced in-app cash loans as a strategic retention product to increase customer lifetime value. Previously reliant on a slower USSD-based application process, the company sought to create a faster, more engaging, and trustworthy experience for eligible customers, with the ultimate goal of driving retention and repayment.

Objective

The key objective was to design and launch an intuitive in-app cash loan application flow that would:

  • Speed up disbursement from days to minutes.
  • Improve user experience and app stickiness.
  • Increase retention sales.

Key metrics to track

Building out the feature, these were the high level metrics we wanted to achieve

20%

Improved customer retention rate

45%

Improved cash loan conversion rate

2X

Improved daily cash loans sales

25%

Improved disbursement rate

Impact

Impact of launching in-app cash loans was mind-blowing and the impact was evident immediately.

4X

Increase in daily cash loan sales.

2min

Average disbursement time.

63%

Conversion rate for cash loans.

1st

Higher retention sales than acquisition sales in a quarter

23%

Improved repayment rate (to qualify for cash loans

44%

Improved customer retention based on cash loan offer.

Research and insights

Research spanning several months involved several teams; customer insights, data analytics, data science, legal, design, commercial and several other teams.

At a high level, these were the most important insights

85%

Trust is king with financial offers.

Inconsistencies in eligibility, loan terms and slow disbursement led to high drop-off rates. Over 80% of customers expressed distrust.

95%

Nobody reads Terms & Conditions.

With phone locking tied to the cash loan, reading terms and conditions was crucial. However, over 90% skipped them.

80%

USSD experience is painful compared to competition.

80% of customers were dissatisfied with the USSD experience. Cash loans via USSD were not competitive.

Ideation, iterations and prioritisation

With all the insights, we set out to design potential solutions with several iterations. At a high level, we prioritised; Immediate Discovery, Seamless Navigation, Sufficient details for decision making and clear communication on eligibility status.

23

More than 23 rounds of validations across Kenya, Uganda & Ghana

28

An average of 28 customers per round of validations.

5K

More than 5,000 customers reached through surveys and interviews

6

At least 6 design review sessions to refine designs and the flow.

High level user flow of the cash loans product

Evolution of the M-KOPA customer app

Some of the screens in the cash loans flow

Learnings and reflections

After the launch, I realized several key lessons. Reflecting on the process from planning to execution revealed insights about the importance of adaptability and open-mindedness. These reflections deepened my understanding and offered valuable lessons for future launches and products.

Financial products are delicate

The data was overwhelming with how much attention to detail customers had. Despite low education levels, customers understood the numbers that mattered and these were the deal breakers.

Experimentation is progress

With all the learnings, we had opportunities to run A/B test experiments in production with tools like Statsig and targeted campaigns with Clevertap when launching different markets.

Segmentation is the next step

Segmentation of customers into specific clusters based on time with the product, repayment rate, payment status among others would enable customised messaging for each segment.

Life’s too short for bad design. Make the right call.

Let’s talk

Cash loans for Retention

Client

Industry

Fintech

Role

Lead Product Designer,

Customer Experience & Retention

Stakeholders

Engineering

Commercial

Data Science

Research and Insights

Legal teams

Market expansion teams

Customer care teams

About M-KOPA

Over 500 million financially excluded African adults lack access to traditional banking services. With more than 6M customers, M-KOPA provides fair and flexible financial solutions tailored to customer needs, backed by a decade of experience and successful customer repayment.

Overview of the product

M-KOPA introduced in-app cash loans as a strategic retention product to increase customer lifetime value. Previously reliant on a slower USSD-based application process, the company sought to create a faster, more engaging, and trustworthy experience for eligible customers, with the ultimate goal of driving retention and repayment.

Objective

The key objective was to design and launch an intuitive in-app cash loan application flow that would:

  • Speed up disbursement from days to minutes.
  • Improve user experience and app stickiness.
  • Increase retention sales.

Key metrics to track

Building out the feature, these were the high level metrics we wanted to achieve

20%

Improved customer retention rate

45%

Improved cash loan conversion rate

2X

Improved daily cash loans sales

25%

Improved disbursement rate

Impact

Impact of launching in-app cash loans was mind-blowing and the impact was evident immediately.

4X

Increase in daily cash loan sales.

2min

Average disbursement time.

63%

Conversion rate for cash loans.

1st

Higher retention sales than acquisition sales in a quarter

23%

Improved repayment rate (to qualify for cash loans

44%

Improved customer retention based on cash loan offer.

Research and insights

Research spanning several months involved several teams; customer insights, data analytics, data science, legal, design, commercial and several other teams.

At a high level, these were the most important insights

85%

Trust is king with financial offers.

Inconsistencies in eligibility, loan terms and slow disbursement led to high drop-off rates. Over 80% of customers expressed distrust.

95%

Nobody reads Terms & Conditions.

With phone locking tied to the cash loan, reading terms and conditions was crucial. However, over 90% skipped them.

80%

USSD experience is painful compared to competition.

80% of customers were dissatisfied with the USSD experience. Cash loans via USSD were not competitive.

Ideation, iterations and prioritisation

With all the insights, we set out to design potential solutions with several iterations. At a high level, we prioritised; Immediate Discovery, Seamless Navigation, Sufficient details for decision making and clear communication on eligibility status.

23

More than 23 rounds of validations across Kenya, Uganda & Ghana

28

An average of 28 customers per round of validations.

5K

More than 5,000 customers reached through surveys and interviews

6

At least 6 design review sessions to refine designs and the flow.

High level user flow of the cash loans product

Evolution of the M-KOPA customer app

Some of the screens in the cash loans flow

Learnings and reflections

After the launch, I realized several key lessons. Reflecting on the process from planning to execution revealed insights about the importance of adaptability and open-mindedness. These reflections deepened my understanding and offered valuable lessons for future launches and products.

Financial products are delicate

The data was overwhelming with how much attention to detail customers had. Despite low education levels, customers understood the numbers that mattered and these were the deal breakers.

Experimentation is progress

With all the learnings, we had opportunities to run A/B test experiments in production with tools like Statsig and targeted campaigns with Clevertap when launching different markets.

Segmentation is the next step

Segmentation of customers into specific clusters based on time with the product, repayment rate, payment status among others would enable customised messaging for each segment.

Life’s too short for bad design. Make the right call.

Let’s talk