β
Core Value Proposition
People who earn daily can save as low as INR 100 in guaranteed return Recurring Deposits without needing a Bank Account or Internet Banking facilities with a particular RD provider. In case of emergency, users can take secured sachet loans on their RDs at low interest rates without breaking RDs.
Product Features
Product Demoβ
β
β
ICP Table
Criteria | ICP 1 | ICP 2 | ICP 3 | ICP 4 |
---|---|---|---|---|
Name | Arun | Rani | Dharmendra | Rama |
Age | 25-35 | 25-35 | 25-45 | 30-45 |
Demographics |
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β |
β |
Need |
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β |
Pain Point |
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β | β
|
Behaviour |
β |
β |
β |
β |
Perceived Value of Brand | Low | Moderate | Low | Low |
Marketing Pitch | βSave Daily in Guaranteed Return Recurring Deposits | βSave Monthly in Guaranteed High Return Recurring Depositsβ | βSave Daily in Guaranteed Return Recurring Deposits | ββSave Weekly in Guaranteed Return Recurring Deposits |
Existing Solutions | Chit Funds and Physical Opening of a Bank RD | Savings Account and LIC Policy | Post Office RDs, Pigme Schemes, LIC policy and Bank Savings Account | Post Office RDs, Pigme Schemes, LIC policy and Bank Savings Account |
Goals |
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β |
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Frequency of use case | Daily | Monthly | Daily | Weekly |
Average Savings on the Product | INR 100-500 | INR 3000-5000 | INR 200-1000 | INR 100-300 |
ICP Prioritization
Criteria | Adoption Rate | βAppetite to Pay | Frequency of Use Caseβ | βDistribution Potential | TAMβ |
---|---|---|---|---|---|
ICP 1 | High | Low | High | High | 8Mn |
ICP 2 | Low | Moderate | Low | High | 10Mn |
ICP 3 | Moderate | High | High | Moderate | 20Mn |
ICP 4 | Low | Low | Moderate | Low | 50Mn |
From the ICP Prioritization Framework, we can see that ICP 1 and ICP 3 can be focused upon since the Appetite to Pay, Frequency of use case is high and the users have a good use case of the product!
Now when we dig deeper into fleshing out the strategies for acquisition we will target them towards ICP 1 and ICP 3.
β
Lifepay is a new product in the new category. One of the first few companies to launch Daily Micro-Savings in the Digital RDs.
Competitor Analysis
Factors | Blance (Pivoted) | Jar | β |
---|---|---|---|
What is the core problem being solved by them? | Solving the problem of making big purchases with the Save Now Buy Later concept | Solving the problem of buying gold with a small amount of money | β |
What are the products/features/services being offered? | Micro-Savings in P2P NBFC Recurring Deposits, Save Now Buy Later with Brand Discounts and Anytime No cost withdrawals | Micro-Savings in Digital Gold and Saving with Expenses Round-off | |
Who are the users? | Millennials | Millennials | β |
GTM Strategy | Product-led motion with Founder-led outreach via Educational Podcasts | Product-led motion | |
What channels do they use? | YouTube and Partner Program | Paid Marketing and Referrals | |
What returns do they offer? | 10% P.A return on RDs (Not Guaranteed) | Digital Gold | |
How have they raised funding? | Angel Round | $62Mn | |
Brand Positioning | Save Now Buy Later App | Micro-Saving in Digital Gold | |
UX Evaluation | Easy and Smooth UI/UX | Easy and Smooth UI/UX | |
What is your productβs Right to Win? | Daily Savings in the guaranteed return Bank Recurring Deposits | Daily Savings in the guaranteed return Bank Recurring Deposits | β |
What can you learn from them? | Brand Discount on Purchases via Save Now Buy Later | Low CAC Distribution | |
β |
Market Sizeβ
Total Addressable Market (TAM) β
β
Total Amount of Annual Bank and Post Office Deposits | $800Bn |
Lifepay Margin on RD | 0.5% - 1% |
TAM (If we can get all this money into RDs) | $4Bn - $8Bn |
Serviceable Addressable Market (SAM) ββ
β
Target Segment | No. of Customers | Geographical Presence | Avg. Income | βAvg. Household Saving Rate | Lifepayβs Commissionβ |
---|---|---|---|---|---|
Middle-Income Individuals | 400Mn | Tier - 1,2,3,4,5 Cities | $2500 | ~10% | 0.5%-1% |
SAM | ~$1Bn | β |
βServiceable Obtainable Market (SOM) β
β
Target Group | No. of Customers | Geographical Presence | Avg. Income | Avg. Household Saving Rate | Lifepayβs Commission | SOM |
---|---|---|---|---|---|---|
Retailers | 20Mn | Tier - 1,2,3 Cities | $4500 per Annum | ~10% | Deposits β 0.5% - 1% | Deposits β $63Mn - $126Mn |
Gig Workers | 8Mn | Metro, Tier - 1, 2 cities | ||||
Total Users | 28Mn | β | ||||
Total SOM |
~$63Mn - $126Mn β |
β
Stage of the Company
Lifepay is a Pre-PMF company and all the acquisition strategies are planned accordingly.
Acquisition Objectiveβ
Our Objective is to understand Users and our Problem-Solution fit. So, our Acquisition channels should be:
Acquisition Channel Selection
ICP | Channel Name | Cost | Flexibility | Effort | Speed | Feedback |
---|---|---|---|---|---|---|
Gig Economy Workers β β | Physical Outreach
| Low | High | High | High | High |
B2B Partnerships | Low | Low | Moderate | Low | Low | |
Ambassador Program | Low | Moderate | Low | Moderate | Moderate | |
Retailers | Physical Outreach
| Low | High | High | High | High |
Ambassador Program | Low | Moderate | Low | Moderate | Moderate |
From the Acquisition Channel Selection Framework, we can say that Physical Outreach and Partner Programs are good options for acquiring users in a cheaper, faster, and more feedback-driven way.
Acquisition Channel Implementation
We will focus on one Tier-1 city for the implementation. Let's say we pilot in Gurgaon.
Experiment 1 - Setup Mobile Kiosks
Gig Economy Workers β Food Delivery Executives Acquisition
Hypothesis: We need to onboard Delivery Executives from areas where they spend most of their time. As Delivery Executives are assigned food orders as per their distance from restaurants, they always try to wait in Restaurant Hubs for orders near Restaurant Hubs. So, we will plan our acquisition drives there.
β
β
βGig Economy Workers β Cab Service Executives Acquisition
Hypothesis: We need to onboard Cab Service Executives from areas where they spend most of their time. As Cab Service Executives are assigned Trips as per their distance from the travellers, they always try to wait in areas where the chances of a Trip being assigned are higher such as Airports or Market Areas. So, we will plan our acquisition drives there.
β
β
β
Retailers β β
Hypothesis: We need to onboard Retailers from areas where they have their shops. As most of the city shops are in the market areas. So, we will plan our acquisition drives there.
β
βExperiment 2 - Ambassador Program
Hypothesis: As our market is a trust deficit market so, to make initial inroads in the market we have to onboard local influencers from our users' localities to gain their trust to use our product.
Gig Economy Workers β Food Delivery Executives Acquisitionβ
β
β
Gig Economy Workers β Cab Service Executives Acquisitionβ
β
β
βRetailers β β
β
ββExperiment 3 - Door-to-Door Acquisition
Hypothesis: As our market is a trust deficit market so, to make initial inroads in the market we have to use local Marketing Agents from our users' localities to onboard them. Our users associate more with the Marketing Agents from their own areas.
Retailers β β
β
β
β
β
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