Acko Insurance is a digital-first insurance platform that offers a range of insurance products, including health, vehicle (car/bike), life, and travel insurance. It operates primarily through a mobile app, emphasizing a paperless, seamless experience for purchasing, managing, and claiming insurance. Acko’s mission is to simplify insurance by leveraging technology, making it accessible, affordable, and hassle-free for users.
Acko’s users are primarily tech-savvy individuals seeking affordable, hassle-free insurance solutions through a digital platform. They include:
Acko Insurance CVP: “Protect what matters with Acko – affordable, instant D2C insurance that’s simple, fast, and paperless. Get 24-hour claim settlements, 100% cashless coverage, and manage everything from your app, trusted by over 78M users.”
The action that makes a user an active user:
Bifurcation of Natural Frequency by User Type
Acko’s users can be categorized into Casual, Core, and Power Users based on their engagement levels. The table below maps their natural frequency, engagement patterns, and alignment with Acko’s engagement goals.
User Type | Definition | Natural Frequency | Engagement Patterns (Frequency, Breadth, Depth) | Alignment with Engagement Goals |
---|---|---|---|---|
Casual Users | Users with minimal engagement, often driven by specific needs (e.g., claim filing) or reminders. | Quarterly to Semi-Annually | - Frequency : Engage 1-2x/year (e.g., claim filing, policy renewal). - Breadth : Low, focus on 1-2 features (e.g., claims). - Depth : Low to High, depending on the action (e.g., high depth for claims, low for renewals). | Low alignment. These users don’t meet the bi-weekly goal, contributing to lower D30 retention (currently 8% vs. 10% target). |
Core Users | Users who engage regularly for policy management or exploration, forming the majority of active users. | Monthly | - Frequency : Engage monthly (e.g., policy checks, premium payments). - Breadth : Moderate to High, use multiple features (e.g., policy status, exploration). - Depth : Moderate, spend 2-3 minutes per session on policy management. | Moderate alignment. Monthly engagement is below the bi-weekly goal but supports consistent interaction, aiding D30 retention. |
Power Users | Highly engaged users who interact frequently, often incentivized by rewards or multiple policies. | Bi-weekly to Weekly | - Frequency : Engage bi-weekly or weekly (e.g., policy checks, reward earning). - Breadth : High, use most features (e.g., policies, rewards, exploration). - Depth : Moderate to High, spend 3-5 minutes per session across features. | High alignment. These users meet or exceed the bi-weekly goal, driving higher retention and engagement (e.g., D30 retention of 15% for subscribers). |
Engagement Framework Table
I know the framework format is bit different, but my rationale was to gauge the framework based on the features.
Feature/Product | Frequency | Breadth | Depth |
---|---|---|---|
Policy Management | Monthly | High: Users engage with policy status checks, renewals, and premium payments. | Moderate: Users spend 2-3 minutes per session checking policy details or making payments. |
Claim Filing | As needed (1-2x/year) | Low: Users only engage with claim filing and tracking features during incidents. | High: Users spend 5-10 minutes filing a claim, uploading documents, and tracking status. |
Policy Exploration | Quarterly | Moderate: Users explore new products (e.g., health, travel) but often don’t purchase. | Low: Users spend 1-2 minutes browsing options but may not complete actions (e.g., buying a policy). |
Rewards System (Acko Coins) | Bi-weekly (if incentivized) | Moderate: Users engage with rewards for actions like policy checks or referrals. | Low: Users spend 1-2 minutes earning coins but may not redeem them frequently. |
Re-engagement Actions | Monthly (for inactive users) | Low: Inactive users only engage with basic features (e.g., logging in) when prompted. | Low: Users spend <1 minute per session, often just logging in and exiting. |
Recommended Engagement Model: Frequency-Driven Model
I’ll segment Acko’s users based on behavioral and demographic traits relevant to engagement and retention, such as frequency of interaction, insurance needs, and tech-savviness. These segments will form the basis for ICPs, which I’ll present in a table with columns: ICP Name, Demographics, Behaviors, Needs/Values, Pain Points, and Engagement Opportunities.
ICP Name | Demographics | Behaviors | Needs/Values | Pain Points | Engagement Opportunities |
---|---|---|---|---|---|
Frequent Policy Managers | Age: 30-45, Urban, Employed | Check policy status monthly, renew policies annually, high app usage (bi-weekly). | Convenience, control, transparency in policy details. | Fear of missing premium payments, complex policy terms. | Push notifications for premium reminders, in-app policy summaries, gamified rewards for frequent checks (e.g., Acko Coins). |
Claim-Focused Users | Age: 25-40, Urban/Suburban, Vehicle Owners | File claims 1-2x/year, engage during incidents (e.g., accidents), moderate app usage. | Fast claim processing, clear claim status updates. | Slow claim approvals, lack of transparency in claim process. | In-app banners for claim filing, real-time claim tracking notifications, educational content on claim benefits (e.g., 24-hour settlement). |
Exploratory New Buyers | Age: 25-35, Urban, Tech-Savvy | Explore new products quarterly, first-time insurance buyers, moderate app usage. | Affordability, simplicity, trust in a new provider. | Overwhelmed by insurance options, fear of hidden costs. | Email campaigns to explore products, personalized recommendations, onboarding nudges to view affordable plans. |
Reward-Driven Users | Age: 20-35, Urban, Budget-Conscious | Engage bi-weekly for rewards, moderate policy interaction, high responsiveness to incentives. | Cost savings, instant value, fun app experience. | High insurance costs, lack of perceived value in app usage. | Gamified pop-ups offering Acko Coins for actions, reward redemption for premium discounts, leaderboards for top earners. |
Inactive Users | Age: 25-50, Mixed Locations | Haven’t engaged in 30+ days, low app usage, may have a policy but no recent activity. | Reminders to stay engaged, trust in the platform. | Forgetting to use the app, no immediate need for interaction. | Retention-focused notifications (e.g., “We miss you!”), incentives to log in (e.g., bonus Acko Coins), re-engagement campaigns with policy benefits. |
These calls were conducted leveraging the UD Sir's approach to user research, which helped in understanding the users and aligning them with engagement opportunities! My main questions were aimed at understanding their behaviours, needs & pain points.
ICP Name | Behaviors | Needs/Values | Pain Points | Engagement Opportunities |
---|---|---|---|---|
ICP 1: Frequent Policy Managers | Check policy status monthly, high app usage (bi-weekly). | Convenience, control, transparency in policy details. | High premiums, unclear claim updates, low-value rewards. | Push notifications for premium reminders, simplified claim tracking, enhanced rewards. |
- Bhakti | Checks policy status monthly, engages bi-weekly for updates. | Values simplicity and app-based management. | Low redemption value of rewards, might leave if premiums rise. | Gamified rewards with higher value, faster customer support via in-app chat. |
- Lalit | Checks policies monthly, engages bi-weekly for renewals. | Values app-based control and transparency. | Confusing claim process, unclear updates on claims. | Real-time claim tracking notifications, educational content on claim filing. |
ICP 2: Claim-Focused Users | File claims 1-2x/year, engage during incidents, moderate app usage. | Fast claim processing, clear claim updates. | Delayed claims, lack of reminders, irrelevant features. | In-app banners for claim filing, claim reminders, simplified claim process. |
- Harsh | Files claims 1-2x/year, engages during incidents (e.g., accidents). | Values 24-hour claim settlement. | Claims delayed occasionally, doesn’t use policy exploration. | Simplified claim filing process, real-time claim status updates via notifications. |
- Karan | Engages during claims, uses app sporadically (1-2x/year). | Values cashless process and speed. | Lack of engagement, finds policy management irrelevant. | Claim filing reminders, personalized notifications to re-engage during non-claim periods. |
Low Priority: Inactive Users | Rarely engage (once every 6 months), low app usage. | Affordability, occasional reminders. | Lack of need, unengaging features, no incentives. | Retention campaigns with incentives, policy benefit reminders. |
- Rajeev | Uses app once every 6 months, no recent activity. | Values affordability but doesn’t engage. | No immediate need, finds app unengaging, considered leaving. | Retention-focused notifications (e.g., “Earn bonus Acko Coins!”), highlight policy benefits. |
Current Alternative
What might be the Solution? The Hook - Instant Claim Assurance
Detailed Version with User Flow
The “Instant Claim Assurance” hook integrates into Acko’s app to deliver value early and encourage bi-weekly engagement:
Metric | Target | Purpose |
---|---|---|
D1 Retention | 25% | Measure if the onboarding demo reduces early churn. |
D30 Retention | 10% | Confirm long-term retention improvement. |
Engagement Frequency | Bi-weekly | Ensure users interact at least twice monthly. |
Claim Ready Challenge Completion Rate | 50% | Assess engagement with the gamified challenge. |
Claim Filing Rate | 5% increase | Check if real-time updates encourage claim filing. |
Milestone | Timeline | Description |
---|---|---|
Onboarding Demo Launch | Week 1 | Integrate the 24-hour claim demo into onboarding (Step 7). |
Gamified Challenge Rollout | Week 2 | Launch the “Claim Ready Challenge” for new users. |
Real-Time Notifications | Week 4 | Enable real-time claim updates for all claim filings. |
Retention Nudge Campaign | Week 6 | Deploy push notifications for inactive users. |
Initial Review | Week 8 | Analyze D1/D30 retention and engagement frequency; adjust strategies. |
The “Instant Claim Assurance” hook ensures users experience Acko’s core value early and frequently. As asked, I’ll design five campaigns to drive engagement, targeting different user segments (Casual, Core, Power Users) and addressing churn reasons.
Campaign 1: Onboarding Booster
Attribute | Details |
---|---|
Segmentation | New Users (Casual, Core, Power) – All users post-signup. |
Goal | Reduce onboarding friction and increase D1 retention to 25%. |
Pitch/Content | “Welcome to Acko! See how we settle claims in 24 hours – start now!” (In-app demo + CTA to explore policies). |
Offer | 50 Acko Coins for completing the demo and exploring a policy within 24 hours. |
Frequency/Timing | Immediate post-signup (Step 7 in onboarding). |
Success Metrics | D1 retention (target: 25%), demo completion rate (target: 80%). |
Campaign 2: Claim Ready Challenge
Attribute | Details |
---|---|
Segmentation | Core Users – Users who engage monthly (e.g., Bhakti, Lalit). |
Goal | Increase engagement frequency to bi-weekly, improving D7 retention to 16%. |
Pitch/Content | “Get Claim Ready! Complete 3 actions (e.g., check policy, add family details) in 7 days to earn 100 Acko Coins!” (In-app challenge). |
Offer | 100 Acko Coins (redeemable for premium discounts). |
Frequency/Timing | Once per user, 3 days post-signup, with daily reminders until completed. |
Success Metrics | Challenge completion rate (target: 50%), D7 retention (target: 16%). |
Campaign 3: Claim Confidence Push
Attribute | Details |
---|---|
Segmentation | Casual Users – Users who engage 1-2x/year, often for claims (e.g., Harsh, Karan). |
Goal | Encourage claim filing and improve perceived value, increasing claim filing rate by 5%. |
Pitch/Content | “File a claim in minutes – we’ll settle it in 24 hours! Start now.” (Push notification with link to claim filing). |
Offer | Free claim assistance (e.g., 24/7 chat support for first-time filers). |
Frequency/Timing | Bi-monthly, sent to users who haven’t filed a claim in the past 60 days. |
Success Metrics | Claim filing rate (target: 5% increase), D30 retention (target: 10%). |
Campaign 4: Policy Protector Streak
Attribute | Details |
---|---|
Segmentation | Power Users – Highly engaged users (bi-weekly to weekly, e.g., reward-driven users). |
Goal | Reinforce habits and maintain high engagement, sustaining D30 retention at 10%. |
Pitch/Content | “Keep your policy protected! Log in 3 times this month to earn a 5% renewal discount!” (In-app gamified streak). |
Offer | 5% discount on next renewal for completing the streak. |
Frequency/Timing | Monthly, starting on the 1st of each month, with weekly reminders. |
Success Metrics | Streak completion rate (target: 70%), D30 retention (target: 10%). |
Campaign 5: Inactive User Revival
Attribute | Details |
---|---|
Segmentation | Inactive Users – No engagement for 14+ days (e.g., Rajeev). |
Goal | Re-engage inactive users, increasing D30 retention to 10%. |
Pitch/Content | “We miss you! Check your policy and earn 50 Acko Coins – your 24-hour claim assurance awaits!” (Push notification). |
Offer | 50 Acko Coins for logging in and checking policy status within 48 hours. |
Frequency/Timing | Once every 14 days for inactive users, sent in the evening (7 PM IST). |
Success Metrics | Re-engagement rate (target: 30%), D30 retention (target: 10%). |
Industry Standard Retention Rates (Indian Market)
In the Indian insurance market, policy renewals drive high retention, with an average annual retention rate of 88%, as reported by Statista (2024). This reflects Indian customers’ tendency to renew policies due to necessity (e.g., mandatory vehicle insurance) and trust in providers. This 88% annual retention translates to a 12% annual churn rate:
For app-based engagement (D1, D7, D30), short-term retention rates are lower due to the infrequent use of insurance apps in India (e.g., Policybazaar, Bajaj Allianz). Using app retention benchmarks for Indian fintech/insurance apps (e.g., AppsFlyer India 2024 Report):
Baseline Industry Standard for Acko
Time Period | Retention Rate | Churn Rate (100% - Retention) |
---|---|---|
D1 | 20% | 80% |
D7 | 15% | 85% |
D30 | 10% | 90% |
Retention Curve Description
This shows a moderate initial drop-off (80% churn by D1) due to infrequent app usage, with a slower decline to D30 as users engage for policy-related actions.
Observations
Moderate Early Churn: 80% churn by D1 is typical for insurance apps, as users don’t engage daily.
Indian Market Context: High annual retention (88%) reflects policy renewals, but app engagement is low as no one uses their insurance policy app daily like a food app.
I’ll adjust the baseline retention rates for Acko based on factors specific to its context, keeping adjustments minimal to maintain sensibility. These factors, which I've covered, are based on notes given in the doc/brief.
Adjustment Factors
Adjusted Retention Rates for Acko
Time Period | Retention Rate | Churn Rate (100% - Retention) |
---|---|---|
D1 | 22% | 78% |
D7 | 14% | 86% |
D30 | 8% | 92% |
Retention Curve Description
Observations
Indian Market Alignment: The 92% churn by D30 aligns with the industry’s 88% annual retention, adjusted for app usage.
Using the adjusted retention rates (D1: 22%, D7: 14%, D30: 8%), I’ll try identify churn reasons, focusing on voluntary and involuntary factors, also drawing from user insights (e.g., Bhakti, Lalit, Harsh, Karan, Rajeev).
Churn Type | Reason | Insight Source | Impact on Retention |
---|---|---|---|
Voluntary | Onboarding Friction : No social login, intrusive questions, delayed “aha” moment. | Onboarding teardown, Bhakti (wants faster support). | High: 78% churn by D1, users leave early. |
Voluntary | Low Perceived Value : Unclear claim updates, low-value rewards. | Lalit (unclear claim updates), Bhakti (low-value rewards). | Moderate: Drop from 22% (D1) to 8% (D30), users don’t return. |
Voluntary | Competition : Switching to Policybazaar, LIC for better pricing/trust. | Indian market (12% annual churn), competitive landscape. | Moderate: Impacts D30 retention (8% vs. 10% target). |
Voluntary | Lack of Engagement : Monthly to quarterly frequency fails to build habits. | Engagement framework, Rajeev (inactive). | High: 92% churn by D30, no habit formation. |
Involuntary | Policy Expiry/Non-Renewal : Users stop engaging post-expiry (e.g., sold vehicle). | Indian insurance market (12% annual churn includes non-renewals). | Moderate: Impacts long-term retention beyond D30. |
Involuntary | Technical Issues : App crashes, payment failures during signup/claims. | Assumed from onboarding friction, Harsh (Casual User). | Low: Contributes to early churn (D1-D7). |
Top Reason for Churn
Churn Reason | Negative Action | Impact |
---|---|---|
Onboarding Friction | No social login, no skip options, delayed “aha” moment. | 78% churn by D1, users abandon signup. |
Low Perceived Value | Unclear claim updates, low-depth rewards. | Drop from 22% (D1) to 8% (D30), users don’t return. |
Competition | Lack of strong differentiation vs. Policybazaar, LIC. | Impacts D30 retention (8% vs. 10% target). |
Lack of Engagement | No bi-weekly nudges for Core Users. | 92% churn by D30, no habit formation. |
Policy Expiry | No renewal reminders. | Impacts long-term retention beyond D30. |
Technical Issues | Unaddressed app crashes or payment failures. | Contributes to early churn (D1-D7). |
Now that I've understood the whole problem, let's move on to designing retention strategies:
To improve retention and reduce churn, I’ll design strategies addressing the top churn reason (onboarding friction) and other key factors (e.g., low perceived value, lack of engagement). Each strategy will target specific user segments (e.g., Casual, Core, Power Users) and align with Acko’s goal of increasing D30 retention from 8% to 10%.
Churn Reason | Retention Strategy | Target Segment | Implementation | Expected Impact |
---|---|---|---|---|
Onboarding Friction | Streamline Onboarding Process | All Users (Casual, Core, Power) | - Add social login (e.g., Google, WhatsApp). - Include skip options for intrusive questions (e.g., marital status). - Introduce an early “aha” moment (e.g., demo of 24-hour claims at Step 7). | Increase D1 retention from 22% to 25%, reducing early churn and improving user onboarding completion. |
Low Perceived Value | Enhance Value Delivery | Core Users, Power Users | - Improve rewards system (e.g., higher redemption value for Acko Coins). - Provide real-time claim updates via in-app notifications. | Lift D7-D30 retention from 14%-8% to 16%-10%, encouraging users to return and experience ongoing value. |
Competition | Highlight Unique Value Propositions | All Users | - Launch email campaigns emphasizing USPs (e.g., “Stay with Acko for 24-hour claims!”). - Offer loyalty discounts for renewals (e.g., 5% off for staying with Acko). | Improve D30 retention to 10%, reducing competitive switching by reinforcing Acko’s strengths. |
Lack of Engagement | Increase Engagement Frequency | Casual Users, Core Users | - Send bi-weekly push notifications (e.g., “Earn Acko Coins for checking your policy!”). - Introduce gamified challenges (e.g., “Log in 3 times this month for bonus rewards!”). | Increase frequency to bi-weekly, lifting D30 retention to 10% by building user habits. |
Policy Expiry | Proactive Renewal Reminders | All Users | - Send renewal reminders 30 days before expiry (e.g., “Your policy expires soon – renew now!”). - Offer renewal incentives (e.g., no-claim bonus discounts). | Reduce involuntary churn, supporting long-term retention beyond D30. |
Technical Issues | Improve Technical Reliability | All Users | - Add in-app feedback prompts post-signup (e.g., “Facing issues? Contact us!”). - Provide 24/7 support via chat for technical issues (e.g., payment failures). | Reduce early churn, improving D1-D7 retention from 22%-14% to 25%-16%. |
Why These Strategies?
To ensure these retention strategies are effective, I have tried to define key metrics to track their impact and outline an iterative process for continuous improvement.
Metrics to Track
Metric | Target | Purpose | Measurement Method |
---|---|---|---|
D1 Retention | 25% | Measure improvement in early user retention after onboarding changes. | Track percentage of users returning within 24 hours post-signup via app analytics. |
D7 Retention | 16% | Assess if users return after the first week with improved value delivery. | Track percentage of users returning within 7 days post-signup. |
D30 Retention | 10% | Ensure long-term retention meets the target, reflecting habit formation. | Track percentage of users returning within 30 days post-signup. |
Onboarding Completion Rate | 95% | Evaluate if onboarding changes reduce drop-off during signup. | Measure percentage of users completing onboarding (from app launch to account creation). |
Engagement Frequency | Bi-weekly | Confirm if notifications and gamification increase interaction frequency. | Track average number of user sessions per month via app analytics. |
Claim Filing Rate | 5% increase | Check if real-time claim updates encourage more users to file claims. | Measure percentage of users filing claims within 30 days post-signup. |
User Feedback Score | 4.8 (Play Store) | Gauge user satisfaction with onboarding and technical improvements. | Monitor Play Store ratings and in-app feedback post-strategy implementation. |
Why This Approach?
Acko’s retention strategies target the top churn reason (onboarding friction) and other factors (e.g., low engagement), aiming to lift D30 retention from 8% to 10%. Streamlining onboarding, enhancing value delivery, and increasing engagement frequency address early and long-term churn, while metrics like D1/D30 retention and engagement frequency ensure measurable progress. The iterative process ensures continuous improvement, aligning with the Indian insurance market’s high retention (88% annually) and Acko’s goals.
Resurrection campaigns aim to re-engage churned or at-risk users, reducing churn and increasing D30 retention from 8% to 10%. These campaigns target specific ICPs, identified in the customer segmentation step, addressing their unique churn reasons. While the campaigns are similar to the engagement campaigns (e.g., using push notifications, rewards), they are tailored for users who have already disengaged (inactive for 14+ days) or are at risk of churning (e.g., showing low engagement). I’ll also monitor risks like being marked as spam, high unsubscribe rates, and potential blocking, ensuring a balanced approach by using my rationale.
Resurrection Campaigns
I will design five resurrection campaigns, each targeting specific segments of inactive users, addressing churn reasons, and encouraging re-engagement through tailored pitches and offers.
Campaign Name | Segmentation (ICP) | Churn Reason | Goal | Pitch/Content | Offer | Frequency/Timing | Risk Mitigation | Success Metrics |
---|---|---|---|---|---|---|---|---|
Onboarding Reconnect | New Users who dropped off during onboarding (e.g., Bhakti, Lalit – Frequent Policy Managers). | Onboarding friction (no social login, intrusive questions). | Re-engage users lost to onboarding friction, increasing D1 retention to 25%. | “Hi [Name], let’s make signup easier! Finish in 1 minute with social login and see how Acko settles claims in 24 hours!” (Push notification + email). | 50 Acko Coins for completing signup within 48 hours. | Once, 3 days after drop-off, sent at 7 PM IST. | Limit to 1 notification/email; monitor unsubscribe rate (target: <5%). | Re-engagement rate (target: 30%), D1 retention (target: 25%). |
Claim Assurance Reminder | Claim-Focused Users who haven’t filed a claim in 60+ days (e.g., Harsh, Karan – Claim-Focused Users). | Low perceived value (lack of claim filing, unclear updates). | Encourage claim filing, increasing D30 retention to 10%. | “Hi [Name], file a claim in minutes – we’ll settle it in 24 hours! Your assurance awaits.” (Push notification to claim filing). | Free claim assistance (24/7 chat support). | Bi-monthly, sent on weekends at 10 AM IST. | Cap notifications at 2 per month; monitor spam flags (target: <2%). | Claim filing rate (target: 5% increase), D30 retention (target: 10%). |
Policy Check Revival | Core Users (Frequent Policy Managers) at risk of churn – engaged <1x/month (e.g., Bhakti, Lalit). | Lack of engagement (no bi-weekly interaction). | Re-engage Core Users, lifting D30 retention to 10%. | “Hi [Name], we miss you! Check your policy status and earn 50 Acko Coins – your 24-hour claim assurance is here!” (Personalized push notification). | 50 Acko Coins for checking policy status within 48 hours. | Every 14 days of inactivity, sent at 7 PM IST. | Include “Unsubscribe” option in notification settings; monitor unsubscribe rate (target: <5%). | Re-engagement rate (target: 40%), D30 retention (target: 10%). |
Competitor Comeback | Inactive Users who likely switched to competitors (e.g., Rajeev – Inactive Users). | Competition (switched to Policybazaar, LIC). | Win back users, improving D30 retention to 10%. | “Hi [Name], switch back to Acko for 24-hour claim settlements – faster than anyone else! Renew and save 5%!” (Email + SMS). | 5% discount on policy renewal. | Once, 30 days after inactivity, sent at 10 AM IST. | Limit to 1 email/SMS; monitor email bounce rate (target: <3%). | Renewal rate (target: 20%), D30 retention (target: 10%). |
Reward Reactivation | All Churned Users (14+ days inactivity, e.g., Rajeev, Harsh, Karan). | Lack of engagement, low perceived value. | Re-engage users through rewards, increasing engagement frequency to bi-weekly. | “Hi [Name], your rewards are waiting! Log in today and earn 100 Acko Coins to use on your next premium!” (Push notification + in-app pop-up). | 100 Acko Coins for logging in and completing one action (e.g., policy check). | Every 14 days of inactivity, sent on Fridays at 6 PM IST. | Cap notifications at 2 per month; monitor spam flags (target: <2%). | Re-engagement rate (target: 35%), engagement frequency (target: bi-weekly). |
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