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Wint Wealth is an online financial services platform focusing on providing fixed-income investment options for retail investors.
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Wint's value proposition, at a very high level, is their ability to curate ideal fixed-income options for users who are looking to access higher returns than traditional savings accounts at a risk lower than the stock market.
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Their primary offerings are -
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We are looking at Wint Wealth as a unique player in the fixed income market, because of the history and nature of the business, and how they have currently positioned themselves.
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In 2020, Wint Wealthο»Ώ began as a fintech platform that made it easier for retail investors to bet on debt instruments that offered better yields at lower risks. This
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It was a platform that questioned the status quo - "Who says retail investors cannot understand and invest in these assets that were earmarked for HNI's?"
In the words of one of the founders, roughly 2 years ago -
Itβs widely the perception that retail investors cannot understand advanced assets, so it is futile to convince them to invest in new asset classes. We found this approach obnoxious, and decided to democratise assets that were previously only available to the rich class and make it available to the retail investors"
Today, this how the website's landing page looks like -
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Wait. FD's? Where are the advanced assets that needed democratizing?
(Hint: They're in a small space right next to the logo on the left-top.)
So, what happened in these two years? Two big things -
So, Wint had to pivot a bit. They decided to go all in on FD's.
This fundamentally changed whom the user base for the products were. The ICP's were now no longer the sophisticated retail investor who wanted new instruments.
It was the aam aadmi. The common man. You, me, and our neighbour.
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But are these users coming? Is the platform designed for them? Let's find out.
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To identify the current & target customer base of Wint Wealth, user interviews were conducted with a few existing users.
For clearer insights on on-boarding, 2 users were identified and motivated to on-board live on the platform using the app, during which the users' behavior & insights were captured.
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Using the insights gathered, we identified 4 ICP's with varying goals & motivations to use the platform.
ICP 1 - Aman, a salaried male aged 35-40 who wants to save money to pay off an existing loan π¨βπΌ
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ICP 2 - Shravya, a salaried female aged 30-35 who wants to start invest money for long-term savingsπ©βπΌ
ICP 3 - Rahul, a self-employed male aged 30-35 who wants to save for a rainy day fund & down-payment for a car. π§βπΌ
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ICP 4 - Daniel, a salaried male aged 30-35 who wants to invest money in debt as part of his asset allocation strategy. π€΅ββοΈ
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We also define a metric - Financial Literacy Rating - which is rated on the below scale -
1 - Very limited/no understanding of financial instruments, no understanding of investment strategy.
2 - Limited understanding of financial instruments, no investment strategy
3 - Basic understanding of financial instruments, does not have an investment strategy
4 - Good understanding of financial instruments, trying to optimize investment/savings strategy
5 - Solid understanding of financial instruments, has a clear investment strategy
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Category | Attribute | ICP 1 | ICP 2 | ICP 3 | ICP 4 | |
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β Persona β β | Name | Aman | Shravya | Rahul | Daniel | |
Age | 35-40 | 30-35 | 30-35 | 30-35 | ||
Gender | Male | Male/Female | Male | Male | ||
Annual Income | 30-40 lacs | 10-20 lacs | 20-30 lacs | 40-50 lacs | ||
Location | Pune | Bengaluru | Delhi | Bengaluru | ||
Marital Status | Single | Married | Married | Married | ||
Salaried/Self-employed | Salaried | Salaried | Self-employed | Salaried | ||
Most used messaging app | ||||||
Most used social media app | ||||||
Most used media consumption app | YouTube | YouTube | YouTube | |||
Other investment apps used | Groww, Zerodha | ICICI Direct | Stable Money, Zerodha | Zerodha, Coin, INDMoney | ||
Financial Profile | Did they have liquidity available when they tried to start using the platform? | Yes | Yes | Yes | Yes | |
Did they have a financial goal (goal-based saving) in mind? | Yes | No | Yes | No | ||
What was the financial goal? | Saving to close an existing loan | Saving money for future/parking money | Rainy day fund, saving for car down-payment | Saving money for future/parking money | ||
Types of fixed income products they were looking for (On Wint or otherwise) | FD's, SGB's | FD's | Bonds, FD's | Bonds | ||
Average Investment Value (in Rs.) | 1,00,000+ | 20,000-50,000 | 50,000-1,00,000 | 1,00,000+ | ||
Financial Literacy Rating (1-5) | 4 | 3 | 4 | 5 | ||
Platform usage | How did they find out about Wint? | Referral/WOM | Referral | Social media | Social media | |
When did they on-board on to the platform? | 6-12 months ago | <1 week ago | <6 months ago | >2 years ago | ||
Onboarding method | Mobile App | Mobile App | Website | Website | ||
How easy did they find the on-boarding process? | 2 | 3.5 | 3 | 3 | ||
How soon did they make an investment after on-boarding? | <24 hours | - | <1 hour | <48 hours | ||
How frequently do they use the platform now? | Rarely | NA | Rarely | Occasionally | ||
What made them drop off? | - | KYC process was not designed well, did not give me confidence to continue. PAN/Aadhar Verifications failed with service errors. | KYC process felt more complex than the instruments. Did not feel as hassle-free as competitors. | - | ||
What makes them return? | The simplicity of the app's interface. It shows live status of investments, interest earned & feels transparent. | NA | Not a returning user | The bond offerings are excellent, and investment process is seamless. I trust the app now. | ||
Active referrer? | No | NA | No | Yes |
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Using the JTBD framework, we also identify the Jobs to Be Done for each of the ICP's -
Priority | Goal Type | ICP 1 | ICP 2 | ICP 3 | ICP 4 |
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Primary | Financial Goal | Saving money to pay off an existing loan. | Investing money at a good risk-free interest rate for long-term savings. | Saving money for emergencies & for a future big purchase. | Investing money at a competitive rate as part of my portfolio split between equity & debt. |
Secondary | Functional Goal | Easy tracking of investments & interest earned | Ease of use as a novice to financial services | Easy tracking of investment & interest earned | Finding the right instruments with minimal effort |
Tertiary | Personal Goal | To be debt-free so I can reduce my stress | Building some certainty towards achieving my future needs | Buying a car & achieving peace of mind. | Achieving financial independence so I can do the work that I enjoy. |
Tertiary or beyond | Social Goal | β | Educating friends/colleagues on alternate investments |
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Now that we have clarity on our individual ICP's, we need to narrow down to 1 or 2 of them so that we can assess if the on-boarding is ideally designed for them.
Based on what we know of Wint Wealth now, the company wants to onboard new users who are interested in FD's, while educating them on why FD's are a good instrument to choose given the current financial landscape.
We will hence choose ICP 2 as our primary ICP for the teardown. The other ICP's will be considered as part of activation & retention metrics.
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To analyze the on-boarding, we start with the below relevant assumptions based on the chosen ICP -
Wint Wealth - Onboarding Teardown.pdf
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Hypothesis - User invests in at least 1 instrument within the first 5 days
Reasoning -
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βImpact Matrix -
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Attribute | Impact | Notes |
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Retention | High | User commits to the platform by investing money, which draws them back. |
Referral/WOM | Low | User typically waits for a good outcome before WOM/referral |
LTV | High | Directly impacts this as the first positive experience is vital to further investments |
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Hypothesis - User tracks the interest accumulated at least thrice within first 6 months
Reasoning -
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βImpact Matrix -
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Attribute | Impact | Notes |
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Retention | High | User builds confidence & trust in the platform |
Referral/WOM | High | Adds an element of braggability & delight, which gets spread |
LTV | Low | - |
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Hypothesis - User reads at least 75% of messages sent via WhatsApp/email by the platform
Reasoning -
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βImpact Matrix -
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Attribute | Impact | Notes |
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Retention | High | Demonstrates commitment to the platform |
Referral/WOM | Low | - |
LTV | High | Improved discoverability of new offerings, thus incentivizing new investments |
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