Supernova AI is an educational technology company based in India, focused on leveraging artificial intelligence to create innovative learning solutions.
Their flagship product is 'Miss Nova', an AI-powered tutor designed for children and for individuals aiming to learn English.
The company emphasizes on making education accessible and engaging through mobile-centric platforms and interactive content.
Personalized AI tutoring for all.
Empower 250 million+ Indian learners to master English by providing an affordable, personalized AI tutor in their native language, unlocking confidence and global opportunities for every learner.
What the user can achieve + How the product enables it + How it makes them feel
For Parents
For Children
For Adults
The English learning market is highly fragmented and driven by pragmatic users seeking tangible, real-world outcomes like career advancement or ensuring their child's academic success. While a wide spectrum of options exists, from free, unstructured content on YouTube to expensive, formal programs like the British Council, users are increasingly exploring digital solutions that promise a middle ground of affordability and flexibility. However, there is significant skepticism; users are highly sensitive to cost and will quickly abandon apps they perceive as ineffective, especially with so many free alternatives available. Consequently, the market values demonstrable results over superficial gamification and demands that any paid solution clearly proves its worth as a direct investment in achieving core life goals.
ICP 1 | ICP 2 | ICP 3 | ICP 4 | ICP 5 | |
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ICP Profile Name | The Career Accelerator | The College-to-Career Transitioner | The Proactive Parent (Parents of K-8) | Home makers | Upscale Private School Student |
Age Group | 24-32 | 19-23 | 30-45 | 25-45 | 13-18 |
Gender Ratio (Female:Male) | 30:70 | 40:60 | 80:20 | 100:0 | 50:50 |
Tier (Tier 1/Tier 2/Tier 3) | Tier 1 & 2 | Tier 2 & 3 (often moving to Tier 1 for opportunity) | Tier 1 & 2 | Tier 1 & 2 | Tier 1 |
Apps Used | LinkedIn, YouTube (for tutorials, industry news), Instagram, Google Search (for solutions), possibly using ChatGPT for work drafts. | YouTube (educational content, entertainment), Instagram, Google, WhatsApp/Telegram (for study groups) | WhatsApp, YouTube (parenting, educational content for kids), Facebook, Google | WhatsApp, YouTube (cooking, lifestyle, self-improvement), Facebook, Google | Duolingo, YouTube Premium (educational, vlogs), Khan Academy, Instagram, Google Search |
Income Self | ₹20K-₹40K | ₹2K-₹5K | ₹20K-₹50K | ₹0 | ₹0 (Pocket Money 1000-2000) |
Income Household | ₹40K-₹70K | ₹20K-₹40K | ₹50K-₹80K | ₹20K-₹50K | ₹80K+ |
Income Spend Reasons | Comfortable monthly surplus; willing to spend for career advantage. | Limited but flexible; spends on self-improvement or if peer-recommended | Prioritizes child's education and future success. Willing to invest in supplemental learning if they see clear benefits and structure. Concerned about crowded classrooms or lack of individual attention. | Will try affordable options if they feel seen, safe, and outcomes are visible. Motivated by personal growth and better social interaction. | Used to paying for enrichment tools; expects trackable improvement and tools that give their child an edge. Student is motivated by excellence. |
Disposable Income Monthly: (OTT, Books, Courses): | ₹800-₹1200 | ₹300-₹600 | ₹500-1K | ₹300-₹500 | ₹3000-₹5000 |
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Social Media Behaviour |
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Marital Status | Most Single or Newly Married | Single | Married | Married | NA |
Employment Status | Employed | Student or Early Job Seeker | Employed/Homemaker | Homemaker | Student |
Features Used |
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(Conduct the litmus test for your product)
I don’t have exact retention data for SuperNova AI yet, but this is based on the 2025 Education App Benchmarks. The average curve here follows industry norms, and the curves for ICP 1 (Career Accelerator), ICP 2 (College-to-Career Transitioner), and ICP 3 (Proactive Parent) are rough estimates based on how they typically behave and what’s driving them.
Retention from Day 3 to Day 60 is a bit lower than average, mostly because of the app's pricing model. Right now, there’s just a 24-hour free trial, and then users hit the pay wall. That early paywall acts as a block especially for folks who are price-sensitive or just exploring.
ICP 2 is where we see the sharpest drop. These are students using the app for very specific events, placements, exams, etc. If they don’t hit value before the paywall, or their need is short-term, they drop off.
While overall retention numbers are low, there is a flattening curve for ICP 1 and ICP 3.
Retention graph for ICP 1 and 3 pass the retention test.
User Profile | Frequency | Features | Time Spent |
Casual User | 1-2 times per week | Activity as part of Lesson Plan | 1-2 lessons; ~15 minutes |
Core User | 3-4 times per week | Activity as part of Lesson Plan, Ask English Doubts, Find word meaning, Progress Report | 3+ lessons; 30+ minutes |
Power User | 6-7 times per week | Activity as part of Lesson Plan, Ask English Doubts, Find word meaning, Speak & Fix grammar, Practise Conversation, Writing practise, Progress Report | 3+ lessons; 30+ minutes |
I’ve categorized paid users of SuperNova into three segments based on how frequently they engage with the app, what features they use, and how much time they spend
Ideally, we’d want Core + Power Users to make up more than 50% of our paying base , a good benchmark for healthy engagement and readiness for further monetization.
Depth of engagement fails the litmus test.
We've already listed down the possible ICPs above.
We use the ICP prioritization table to Select ICPs that qualify
Criteria | Adoption Rate | Appetite to Pay | Frequency of Use Case | Distribution Potential | TAM |
The Career Accelerator | High | High | Medium | High | High |
The College-to-Career Transitioner | High | Low | Medium | High | High |
The Proactive Parent (K-8) | Medium | High | High | High | High |
Homemakers | Low | Medium | Medium | High | Low |
Upscale Private School Student | High | High | Medium | High | Low |
Based on the ICP prioritization framework, we will select The Proactive Parent (K-8) and The Career Accelerator as primary targets, with The College-to-Career Transitioner as an extended segment.
Key Problem Themes Based on Survey Responses (ICP 1 & ICP 3)
ICP 1: The Career Accelerato
ICP 3:The Proactive Parent (K-8)
The following are a few hypotheses of why we think the two ICPs would be willing to pay:
ICP 1: Working Professionals
ICP 3: Parents of School-Going Children
The total SAM for SuperNova AI falls under the following three buckets:
Total SAM Users:
Total SAM Value:
ICP 1: Career Accelerators
ICP 3: Parents (of School-Age Children)
The high willingness to pay from ICP 1 and 3 confirms they are the right target. The key challenge is converting this intent by addressing the retention and engagement gaps identified earlier. Our proposed strategies for trial extensions and feature gamification are designed to directly tackle thi
SuperNova AI is currently A/B testing two distinct monetization models targeted at different user segments:
While these approaches test different price points and conversion methods, a detailed analysis reveals that both are fundamentally flawed. They currently suffer from shared issues of high user friction, a lack of transparency, and an unclear value proposition, which negatively impact user trust and conversion rates.
A more detailed analysis can be found in the pricing page design section below.
While the current app doesn’t have an extended trial or a freemium pricing model, I’m going to suggest a few experiments to help convert free users to paid. I’ll also explore ways to upsell and cross-sell to existing paid users.
At the moment, cross-sell is only possible for ICP 3 through the doubt-solving app for mathematics.
Parents are paying for confidence in their child's future. They are buying a solution to a deep-seated anxiety or aspiration they have for their child.
Adults are paying for career and social mobility. They have a clear, personal goal and are buying the most efficient tool to reach it.
Human tutors are expensive and have inflexible schedules. Supernova AI provides personalized practice anytime, supplemented by weekly mentor check-ins, at 10% of the cost.
Supernova AI is focused on practical, real-life conversations, not just learning vocabulary. The content is personalized to reflect the user's actual needs and goals.
Supernova AI doesn't just focus on pronunciation; it develops communication skills holistically, including fluency, grammar, confidence, and listening. It's a complete communication coach.
Unlike passively watching videos, Supernova AI creates a safe space to actively practice speaking and receive real-time, actionable feedback.
Substitute / Factor | Flexibility to Use | Emotional Safety | Personalization | Real-world Application | Price | Primary Users | Key Weaknesses | Typical Use Case |
Supernova AI | Very Easy (24/7) | Very High (AI) | High | Very High | ₹299 or ₹5,000 for 1 year | Proactive Parents, Career-focused Adults | Lacks human nuance; requires user self-discipline. | Practicing a business presentation at 11 PM to build confidence for a meeting. |
Human Tutors | Low (fixed slots) | Medium | High | High | ₹10,000–₹20,000 (300-400 per session) | Affluent learners, exam-focused students | High cost; scheduling inflexibility; potential for performance anxiety. | A student preparing for a specific, high-stakes exam with a dedicated expert. |
Gamified Apps | Very Easy | Medium | Low–Medium | Low–Medium | ₹0–₹500 per month (Free with ads) | Casual learners, early hobbyists | Superficial learning; limited conversational practice; ads can be distracting. | A new learner building basic vocabulary for 10 minutes on their daily commute. |
Specialized AI | Easy (App-based) | High | Medium | Medium (pronunciation) | ₹1,000–₹2,000 per month | Accent-improvement seekers | Narrow focus on one skill; does not build overall fluency; can be repetitive. | A professional working to reduce their foreign accent for clearer communication. |
Passive Content | Very Easy | High | Very Low | Low | Free | Explorers, casual learners | No interaction or feedback; unstructured and lacks a clear learning path. | A user listening to a foreign podcast to get accustomed to the sound of the language |
SuperNova AI is currently A/B testing two distinct pricing experiments, each targeted at specific Ideal Customer Profiles (ICPs).
While both experiments show an intent to monetize, they suffer from significant issues related to trust, clarity, and user experience, which likely harm conversion rates and long-term customer satisfaction.
Both the pages suffer from the following:
They’re using a pretty standard 3-tier pricing layout, with the 3-month plan selected by default and marked as “Most Popular”. Couple of things stood out:
Overall:
Our previous analysis showed that while free access generates high initial interest, it fails to convert casual browsers into dedicated learners. Language acquisition is a journey that demands commitment, a quality that a "free" model inherently undermines.
Our new strategy is built on the Commitment Bias: a well-documented psychological principle stating that individuals are more likely to follow through on a goal after making an initial, even small, investment. By introducing a nominal paywall (starting at just ₹9), we create a "skin in the game" moment. This small act of commitment fundamentally reframes the user's relationship with our platform from passive consumption to active participation.
We have moved from a single pricing option to a strategic three-plan layout. This architecture provides a frame of reference that guides users toward our desired outcome. Each plan serves a specific psychological purpose:
The pricing page is explicitly designed to bypass the analytical friction of System 2 and appeal directly to the fast-acting System 1
SuperNova AI, currently faces high user attrition within the first 72 hours, preventing most users from experiencing our platform's core value. This is largely due to a saturated market of free alternatives. Our analysis reveals that a one-size-fits-all monetization model is ineffective.
Our current model, a limited free trial, struggles to prove SuperNova AI's value against numerous free competitors. These alternatives, while often lacking structure and effectiveness, set a user expectation for free access. Consequently, we experience high churn early in the user journey.
Our primary challenge is to guide users to their "aha!" moment, where they experience tangible learning outcomes, before they attrite. An analysis of user engagement shows a clear segmentation:
To succeed, we must shift from a generic trial to a sophisticated strategy that nurtures, converts, and retains users based on their unique behaviors and motivations.
To build an effective strategy, we first need to understand the distinct behaviors of our user segments.
Industry-wide, the conversion rate from free to paid users for language learning apps typically ranges between 3% and 10%. In our case, we are seeing different behaviors across user segments, so we apply segment-specific conversion rates and pricing assumptions.
We segment our users into three broad categories based on frequency, feature usage, and engagement:
Segment | % of Users | Typical Usage Frequency | Features Used | Time Spent |
Casual | 70% | 1–2 times per week | Activity as part of lesson plan only | 1–2 lessons; ~15 min |
Core | 25% | 3–4 times per week | Lesson plan, English doubts, word meaning, progress report | 3+ lessons; 30+ min |
Power | 5% | 6–7 times per week | All core features + conversation practice, grammar correction, writing tasks | 3+ lessons; 30+ min |
We assume different conversion rates and pricing patterns across segments:
Casual Users
Core Users
Power Users
Segment | # of Users | Paying Users | Revenue per Paying User | Total Revenue |
Casual | 7,000 | 1% = 70 | ₹9 | ₹630 |
Core | 2,500 | 3% = 75 | ₹607 | ₹45,525 |
Power | 500 | 10% = 50 | ₹3,000 | ₹150,000 |
Total | 10,000 | 195 | — | ₹196,155 |
Based on this model, our key projections are:
This is a sample Mock data of user behaviour pattern for a set of 20 users
I've covered the different pricing experiments and increases to revenue in the How much to charge section below.
Goal Priority | Goal Type | ICP | JTBD | Validation approach | Validation |
Primary | Personal | The Career Accelerators | To become a confident, fluent communicator who can command respect in any professional setting and secure the next promotion. | User Survey | Image Attached Below |
Secondary | Financial | The Career Accelerators | To improve their English speaking skills to get better job oppurtunities and advanced in their career | User Survey | Image Attached Below |
Primary | Personal | The Proactive Parent (K-8) | To relieve my anxiety that my child is not reaching their potential by providing personalized attention that builds the foundational English skills and confidence they need to excel. | User Survey | Image Attached Below |
Secondary | Social | The Proactive Parent (K-8) | To show their circle they are giving the best education possible for their kid and potentially improve status | User Survey | Image Attached Below |
The user research strongly validates the "Career Accelerator" persona, whose motivation is driven by high-stakes professional and academic events. Triggers like interviews, presentations, and formal workplace communication create an urgent need to improve. For this group, English fluency is not just a skill but a tool for achieving a core need: to feel confident, command respect, and perform effectively in situations that are critical to their career advancement. Their goal is to overcome communication barriers to unlock professional growth and self-assurance.
Similarly, the feedback confirms the "Proactive Parent" JTBD, where the motivation is rooted in parental concern. The trigger is observing their child struggle to communicate clearly with teachers, friends, or family, which sparks anxiety that the child is not reaching their full potential. This group’s core need is to relieve that anxiety by taking direct action. They seek to provide personalized support that builds their child’s foundational English skills and confidence, ensuring they are well-equipped to excel socially and academically.
From the lens of perceived value, Supernova AI provides an affordable, always-available solution that helps users improve their English skills.
The primary value is efficiency and time savings.
Supernova AI combines the best of all these:
While some tools/apps offer similar features, such as 24/7 availability or AI-driven feedback, Supernova AI goes further by offering:
Yes. Since the core AI service used by emerging companies is similar, Supernova AI can deliver more value at comparable prices initially, and optimize for even lower prices at scale.
The closest alternative in the same category would be SpeakX
Trigger: Job interview, appraisal, client call, or MBA entrance
Goal: Speak fluently and confidently within a short time window
Without Supernova
With Supernova AI
Trigger: Child struggling to express themselves clearly
Goal: Build child’s English foundation at home
Without Supernova
With Supernova AI
Stage | Journey Stage | User Goal | Is Perceived Value > Real Value? | Emotional State | User thoughts | Pricing Trigger? | Why / Why Not? |
1 | App Store Discovery | Decide if it’s worth installing | No. The value is aspirational, not yet perceived. The user is evaluating a promise, not an experience. | Hopeful, curious | “Looks like it’s made for someone like me/my child” | ❌ No | Let interest build naturally |
2 | Smooth Signup & Setup | Get started safely and smoothly | No. The value delivered is the removal of friction, which meets a baseline expectation. This builds trust, | Cautiously optimistic | “That was quick and simple” | ❌ No | Asking now breaks trust too early |
3 | Language & Goal Personalization | Feel seen and understood | No. This is still part of the setup contract. The app is demonstrating it will listen. This fulfills the initial promise | Comforted, seen | “This feels like it’s built for my exact situation” | ❌ No | Builds personalization layer/ keep it friction-free |
4 | Warm-up Tryout | Test core functionality | No. This is the "free sample." The strategy is to deliver a moment of genuine "wow" to prove the app's capability. | Intrigued, impressed | “Wow, I said something and it responded intelligently” | ❌ No | Let the user feel magic first, without cost barrier |
5 | Initial Feedback Loop | Start seeing signs of progress | Yes. The user sees the system for improvement for the first time. The re is a perceived value of a clear path forward | Motivated, hopeful | “I can already tell where I need to improve!” | ✅ Light nudge | Soft prompt: "Want to unlock 5 more exercises?" |
6 | Early Practice Loop | Build habit through regular, bite-sized wins | No. The goal is to make daily practice feel appropriately rewarding | Energized, proud | “This is easy to stick with, and I’m getting better!” | ❌ No | Let routine cement, Reduce friction |
7 | Weekly Milestone / Progress Check | Validate improvement | Yes. The user is presented with proof of their own transformation. The emotional high of seeing results makes the perceived value high | Proud, emotionally invested | “Wow, this is working!” | ✅ Primary Conversion Point | Trust + results = readiness to commit |
8 | Mentor Touchpoint | Feel supported by human layer | No. This is a strategic freebie. The goal is to demonstrate higher value to be monetized later, | Reassured | “Someone is guiding me here” | ❌ Free initially | First few mentor calls are free. Can potentially upsell later |
9 | Personalized Challenges | Get tailored, real-world practice | Yes. The user has a specific, high-intent need. The perceived value of solving this immediate, real-world problem feels much greater than a generic content pack. | Engaged, curious | “This is exactly what I need to practice” | ✅ Thematic Upsell | Unlock specialized packs (e.g., “Presentation Pack”) |
10 | Mastery Phase | Apply English confidently in real-world setting | Yes. The user is in a state of gratitude and fulfillment making them receptive to sharing or upselling. | Empowered | “I handled that call/meeting thanks to this” | ✅ Referral/Add-on Upsell | Trigger “Share & Earn”, family plan, coaching upgrade |
This is the primary business model for SuperNova. It gates the core product behind a recurring subscription, activated once the user is convinced of its value.
This is the secondary revenue stream, designed to capture additional value from highly motivated users with specific, high-stakes needs.
This table outlines the key user psychology and behavior patterns for this type of educational product.
Dimension | Insight |
Want vs. Need | Emotional want that becomes an aspirational need. |
First Purchase | Low ticket size (9–299) to prove value. |
Time to Purchase | Minutes to start a trial; few days to commit to a subscription. |
Post-Purchase Gratification | High, but only if feedback and progress are clear. |
Frequency of Use | Frequent |
Long-Term Commitment | Not needed |
Appetite to Pay | Medium to High |
We will guide users through a short free trial to showcase core value, followed by a low-cost, one-time paid trial for extended access. This model acts as a commitment filter, using a small payment to separate curious browsers from serious learners before they are offered a full subscription.
Based on the insights above, we propose a series of targeted experiments designed to meet each segment where they are.
The goal is to get them to experience the core value proposition: "I spoke, and the app helped me improve."
Strategy Name | Price Point & Description | Why It's Unique / Better | Key Metric to Watch |
1. The First Feedback Fix | Free for 5 practice phrases. After the 5th, a ₹29 one-time unlock for unlimited feedback. | Instead of a generic lesson limit, this paywalls the core value loop (speak -> get feedback) at the exact moment of need. | Unlock Rate; Subscription Rate |
2. The Confidence Challenge | ₹9 for a 7-day "First Few Conversations" challenge. Guides users on a structured path to master a real-world conversation. | This is outcome-based, not time-based. It sells a tangible achievement and feeling of confidence, which is more compelling than a generic trial. | Challenge Completion Rate |
These users are committed. We need to give them structured paths to mastery that align with their goals and justify a recurring subscription.
Strategy Name | Price Point & Description | Why It's Unique / Better | Key Metric to Watch |
1. The Pricing Tiers | Practice Tier (₹199/mo): Unlimited AI practice. | This is a value-based tier system tailored to user goals. It aligns price with intent: casual practice, structured curriculum, or live interaction. | Tier Distribution % |
2. The "Tutor Token" Plan | ₹149/mo base subscription + 1 monthly "Tutor Token" (for premium services like mock interviews or tutor sessions). | Gamifies usage and gives users control. Solves the "I pay for live features but was too busy" problem. Unused tokens roll over, increasing stickiness. | Token Redemption Rate & Feature Popularity |
These users see proficiency as a critical investment. We will sell them transformation, not just a tool. These two plans will co-exist to create a new premium pricing structure.
Strategy Name | Price Point & Description | Why It's Unique / Better | Key Metric to Watch |
1. The Pro Annual Plan | ₹1,999/year. Includes everything in the "Personalization" tier, framed as "The most effective path to fluency." | This reframes the annual plan as the smart, committed choice by anchoring it against a higher monthly price, improving take rate among committed users. | Annual vs. Monthly Take Rate |
2. The Fluency Accelerator | ₹4,999/year. All features PLUS one 30-min 1-on-1 coaching session per month with a senior tutor. | This is our ultimate premium offering. It combines the scalability of SuperNova AI with the high-touch value of personal coaching for users with high-stakes goals. | Retention & LTV |
This table models the two experiments aimed at improving conversion for short-term users.
Strategy | Price Point & Description | Conversion Rate (Assumption) | Revenue per Paying User | Total Segment Revenue |
Base Case | ₹9 Trial (2 weeks) | 1.0% | ₹9 | ₹630 |
Experiment 1: First Feedback Fix | ₹29 (One-time unlock) | 2.5% | ₹29 | ₹5,075 |
Experiment 2: Confidence Challenge | ₹9 (7-day challenge) | 2.0% | ₹9 | ₹1,260 |
This table models the experiments designed to create habit and provide a clearer path to mastery.
Strategy | Price Point & Description | Conversion Rate (Assumption) | Revenue per Paying User | Total Segment Revenue |
Base Case | ₹9 trial → ₹299/mo | 3.0% | ₹607 | ₹45,525 |
Experiment 1: The Pricing Tiers | Tiers from ₹199-₹499 | 4.0% | ₹517 (Weighted Avg) | ₹51,700 |
Experiment 2: The "Tutor Token" Plan | ₹149/mo base subscription | 5.0% | ₹307 (Base only) | ₹38,375 |
For this segment, the "experiments" are two co-existing plans that create a new pricing structure. The table shows the base case versus the projected performance of each new plan within the new structure.
Strategy | Price Point & Description | Conversion Rate (Assumption) | Revenue per Paying User | Total Segment Revenue |
Base Case | ₹3,000 Annual Plan | 10% | ₹3,000 | ₹150,000 |
Experiment 1: Pro Annual Plan | ₹1,999 (Anchored as best value) | 18% (of 500 users) | ₹1,999 | ₹179910 |
Experiment 2: Fluency Accelerator | ₹4,999 (+ Monthly Coaching) | 10% (of 500 users) | ₹4,999 | ₹249950 |
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