Know what your product is, its features, what problem its solving. Draft the CVP of your product, its natural frequency and engagement framework.
Know your users, what they value the most and define who is your active user.
Investing made simple, accessible, and trustworthy for Indians through a mobile-first, paperless experience.
Growwâs core value lies in democratising financial investing by allowing users to invest in mutual funds, stocks, FDs, and more with zero paperwork, transparent data, and simple UI/UX. The standout elements are:
This is in stark contrast to traditional brokers which are either offline, complex, or intimidating to new investors.
Growwâs user experience is built around simplicity, trust, and clean design, which is critical in a low-trust category like finance.
| User Type | Natural Frequency |
|---|---|
Casual Users | 2â3 times/month â Only SIP investors or info seekers. |
Core Users | 2â3 times/week â Active in stocks or MF SIPs. |
Power Users | Daily â Day traders, multi-SIP holders, goal planners. |
Key driver of frequency: stock price tracking, portfolio value monitoring, and investing nudges (e.g., SIP dates, IPO updates, Dividend payouts).
Growwâs engagement is based on investment behavior and portfolio expansion.
For Groww the depth & frequency framework works the best for users to experience the fullest potential of the app and their value prop will increase as they increase the time & money spent on the app.
Any user who has completed onboarding, invested in at least one asset (MF or stock), and logs in at least once every 2 weeks to track, transact, or plan.
Alternate definitions by segment:
Component | Details |
|---|---|
Core Value | Investing made easy and transparent for Indians. |
User Experience | Clean UI/UX, trust-centric design, easy to use |
Natural Frequency | Casual (2â3x/month), Core (2â3x/week), Power (daily). |
Engagement Depth | Asset diversification, SIP count, portfolio size, feature usage. |
Active User | Onboarded + invested + returning biweekly or more. |
| ICP | 1. New-to-Market Millennials | 2. SIP-First Professionals | 3. DIY Power Traders | 4. Women Wealth Builders | 5. Aspiring Rural Investors |
|---|---|---|---|---|---|
Age | 21â27 | 28â40 | 25â40 | 25â45 | 30â50 |
Location | Tier I | Tier I + Tier II | Pan India | Tier I, II, III | Tier III+, Rural |
Income | âš3â10 LPA | âš8â30+ LPA | âš10â25+ LPA | âš6â20+ LPA | âš2â5 LPA |
Demographic Profile | Students, first-jobbers, digital natives | Salaried professionals, dual-income households | Full-time or hobby traders, risk-takers | Working women, homemakers entering financial space | Small business owners, agricultural income earners |
Primary Needs | Easy, safe entry to investing; learn basics | Goal-based investing (SIPs, tax-saving) | Low-cost, high-speed execution; tools | Financial independence, security, family planning | Savings growth, wealth building, financial inclusion |
Pain Points | Overwhelmed, fear of losing money, no guidance | Too many fragmented options, analysis paralysis, complex/intimidating info | High fees on other platforms, complex UIs | Intimidated by jargon, lack of community | Lack of trust, complex onboarding, language barriers |
How Groww can help | Intuitive UI, educational content, zero fees | Goal tracking, SIP automation, Simple UI, everything on home page, no fees charged | Zero delivery brokerage, charts, alerts, smart orders | Easy app UI, personalized SIP suggestions, content for women, no fees charged | Simple UX, vernacular content, assisted onboarding |
Appetite to Pay | Low | Moderate | High | Moderate | Low |
TAM Estimate | ~30M | ~20M | 8â10M | ~15M+ | 50M+ (latent) |
Social Media Use | Instagram, YouTube, Twitter | LinkedIn, YouTube, Instagram | Telegram, Twitter, YouTube | Instagram, YouTube, WhatsApp groups | WhatsApp, Facebook, YouTube (vernacular) |
Segment | Definition | Frequency | Products Used | Needs | Monetization |
|---|---|---|---|---|---|
Power Users | Daily â Day traders, multi-SIP holders, large portfolio | Daily | 3+ asset classes (Stocks, MFs, FDs, Options) | Speed, tools, accurate data/charts, alerts, execution | High |
Core Users | Use app 2â3 times/week, regular SIPs, active in stocks and/or MF SIPs | Weekly | 1â2 asset classes (MF, Stocks) | Simplicity, automation, financial goals | Moderate |
Casual Users | Log in 2â3 times/month, small portfolio, mostly browsing | Monthly | Watchlists, blogs, education, SIP calculator | Education, safety, fear reduction | Low |
| Segment | Definition | Updated Characteristics | User Examples | Suggested Actions |
|---|---|---|---|---|
Champions | High Recency, High Frequency, High Monetary | - Logins ⼠10x/month- Portfolio âš50K+- Uses 2+ asset classes- Regular SIPs or trades- High feature use (alerts, charts) | DIY Power Traders, SIP-First Pros | - Beta access to tools- Upsell premium products- Referral incentives |
Loyalists | High Recency, Medium Frequency, MediumâHigh Monetary | - Logins 4â8x/month- Portfolio âš10Kâ50K- Consistent SIPs- Uses educational tools & goal tracking | SIP Professionals, Women Wealth Builders | - Goal tracking nudges- Personalized investment tips- Loyalty badges or milestone unlocks |
Potential Loyalists | High Recency, Low Frequency, Medium Monetary | - Logins < 4x/month- Portfolio âš10K+- Passive SIPs- High homepage usage, low feature depth | Women Wealth Builders, New-to-Market Millennials | - Feature discovery nudges- SIP summary notifications- Progress-based engagement (e.g., "You're halfway to âšX goal!") |
At Risk | Medium Monetary, Declining Recency or Frequency | - SIP paused/cancelled- Portfolio stagnating- Last login 15â30 days ago- Dropping engagement with features | SIP Professionals, Rural Investors | - âWe miss youâ nudges- Portfolio health check- Highlight missed opportunities |
Hibernating | Low Recency, Low Frequency, Low Monetary | - No recent logins (30+ days)- Portfolio < âš1K or empty- No SIPs- Primarily browsed educational content | New-to-Market Millennials, Aspiring Rural | - Retargeting via email/SMS- Simplified re-onboarding- Highlight market movements or SIP returns |
New | Signed up recently (<7 days) | - Minimal engagement- No investments yet- May have explored onboarding content or added KYC | All ICPs at entry stage | - Personalized onboarding- KYC completion nudge- âStart SIP in 2 minsâ flow |
Figure out the retention data for your product. If you don't have access to the same, begin by adjusting the industry standards. Plot down the data and bring to life your retention curve. Draw out observations and insights from the same.
What is causing your users to churn?
Go back to your user insights and figure out the number one reason of churn by listing down all the factors.
Estimated Retention Curves for Groww by ICP

Below is the full breakdown of how we arrived at each ICPâs retention curve:
| Interval | Baseline Fintech Retention | Source |
|---|---|---|
Day 0 | 100% | Definition (installs) |
Day 1 | 30.3% | Plotline.so fintech average |
Day 7 | 17.6% | Sendbird.com fintech average |
Day 30 | 11.6% | Plotline.so fintech average |
Each ICPâs multiplier is the sum of these factor-level adjustments:
| Factor | Impact on Retention |
|---|---|
Time to Value | +10% if value is instant (e.g. charts/alerts), +5% if quick (SIP setup), â5% if slow (lengthy KYC), â10% if very slow (multiple docs). |
Natural Frequency | +10% if daily use (trading), +5% if weekly (SIPs), â5% if monthly, â10% if very occasional. |
Competition | â5% if a crowded segment, â10% if extremely competitive, +0% if niche leader. |
Brand/WoM | +5% if strong word-of-mouth, 0% if average, â5% if weak, â10% if very weak. |
| ICP | Time to Value | Frequency | Competition | WoM | Net Multiplier |
|---|---|---|---|---|---|
SIP-First Professionals | +5% | +5% | â5% | +5% | +10% â 1.10Ă |
New-to-Market Millennials | â5% | â10% | â5% | â10% | â30% â 0.70Ă |
DIY Power Traders | +10% | +10% | â5% | 0% | +15% â 1.15Ă |
Aspiring Rural Investors | â10% | â10% | 0% | â5% | â25% â 0.75Ă |
The chart above shows each ICPâs estimated retention at key intervals (Day 0, 1, 7, 30) after applying their respective multipliers to the baseline fintech benchmarks.
Key Insights:
Users actively choose to stop engaging or uninstall the app.
Reason | Description | User Persona Impacted | Source |
|---|---|---|---|
Lack of financial confidence | Users feel unsure about investment decisions or market volatility. | New-to-Market Millennials, Rural Investors | Reddit, App Store |
No clear differentiation | Users feel Groww is too basic once they graduate beyond SIPs. | SIP Pros, Power Traders | Play Store reviews |
Minimal feature set for traders | Lack of depth (advanced charts, margin trading, fast execution) frustrates serious investors. | DIY Power Traders | Reddit, MouthShut |
Passive SIP disengagement | Users set up SIPs and never log back in; lose touch with the product. | SIP-First Pros, Women Builders | Behavioral pattern |
Better offers or features elsewhere | Shift to competitors like Zerodha or INDmoney for more advanced tools or rewards. | SIP Pros, Traders | Social media discussions |
Users face friction or technical issues, leading to unintended disengagement.
Reason | Description | User Persona Impacted | Source |
|---|---|---|---|
KYC or onboarding failure | Many users drop off during document verification or get rejected without clarity. | Rural Investors | Groww forums, Reddit |
Fund transaction issues | Instances where users saw MF units allotted but couldnât redeem or track them. | SIP Users | |
Slow or unresponsive customer support | Delayed replies, generic solutions, especially when money is involved. | All personas | |
App glitches and downtime | Login errors, fund page not loading, or app hanging during market hours. | Power Traders | Reddit, App Store |
Lack of vernacular support | Non-English-first users feel alienated; app is not fully adapted to rural or regional India. | Aspiring Rural Investors | Review forums |
| Category | Examples | Impact Level |
|---|---|---|
Onboarding Friction | KYC drop-offs, failed verification | High |
Technical Reliability | App crashes, order failures, glitchy experience | High |
Financial Anxiety | Lack of investing knowledge, fear of losses | Moderate |
Customer Service Gaps | Delayed responses to ticketed issues, lack of empathy | High |
Feature Limitations | No advanced trader tools, limited diversification beyond SIPs | ModerateâHigh |
Passive User Drop-off | SIP users donât need to log in; slow disengagement | Moderate |
Language/UX Barriers | Absence of multi-language flows, jargon-heavy UI | ModerateâHigh |
**Most of the data points are based on secondary research as pointed out.
Negative Actions that we can look out for:
| Signal | What It Indicates | Relevant Churn Reason |
|---|---|---|
â No login in last 15â30 days (despite SIPs active) | Passive disengagement | SIP user drop-off |
â User didnât complete KYC within 3â5 days of signup | Friction in onboarding | KYC/onboarding failure |
â MF or stock portfolio = âš0 after 7 days of app use | App lacks immediate value or confidence to invest | Financial anxiety |
â No exploration of educational tools (blogs, calculators, videos) | Not engaging with learning layer | Lack of financial literacy |
â Unusual session drop after visiting transaction screen | Confusion or friction in buying experience | UX or trust issue |
â Low usage of portfolio insights or tracking tools | No habit loop, low product stickiness | No perceived value |
| Signal | What It Indicates | Relevant Churn Reason |
|---|---|---|
đ NPS < 6 (Detractor) | Disappointment, lack of advocacy | Support, trust, or UI gaps |
đ Low CSAT (<3/5) on support interactions | Poor resolution or empathetic response | Customer support failure |
đ Multiple negative app store reviews referencing bugs or failed orders | Trust & reliability issues | Technical glitches |
đŹ User mentions words like âconfusedâ, âscamâ, âcanât withdrawâ in tickets | Red flag sentiment | Redemption/transaction anxiety |
đ ââď¸ Raised 2+ support tickets in a month | Frustrated user likely to churn | Support gaps or unresolved bugs |
Each campaign addresses a different churn stage â early (onboarding), mid-funnel (SIPs), or late (fully inactive). They mix emotional levers (FOMO, reassurance) and tangible incentives (cashbacks, tools) to maximize reactivation.
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