How to Build, Scale, and Monetize for the Next Billion Users
The Shift from "Access" to "Transaction"
For the last decade, the narrative around "Building for Bharat" (Tier-2, Tier-3, and rural India) focused on Access: getting the Next Billion Users online.
That mission is largely accomplished. The new mission for 2025 and beyond is Commerce & Intelligence.
We are witnessing a paradigm shift driven by India Stack 2.0. It is no longer just about cheap data (Jio) and identity (Aadhaar). It is about unbundling commerce (ONDC), democratizing credit (Account Aggregators), and interacting in native tongues (Vernacular GenAI).
For Product Leaders, the playbook has changed. You cannot simply "Lite" your urban app and expect to win. You must build on top of India's new Digital Public Infrastructure (DPI) to lower customer acquisition costs (CAC) and unlock revenue from users who previously seemed "unmonetizable."
This hub serves as your architectural blueprint for the next phase of Indian digital product growth.
Section 1: The New Infrastructure - ONDC, Account Aggregators & DPI 2.0
The era of "Walled Gardens" in Indian tech is ending. DPI 2.0 is about interoperability.
ONDC (Open Network for Digital Commerce): Moving beyond the foundational concept of unbundling e-commerce, successful ONDC products now require advanced structural implementations. Product Managers must focus on deep Beckn protocol integrations, specialized Technology Service Providers (TSPs), and decentralized discoverability to build scalable Buyer and Seller applications.
The "Credit" Rail (Account Aggregators): Previously, Tier-3 users were "data poor." The Account Aggregator (AA) framework allows users to securely share their financial data (bank statements, GST) with lenders to get credit. This opens up massive opportunities for Embedded Finance in your product.
Strategic Insight: The winner in this space won’t be the one who owns the customer end-to-end, but the one who integrates these public APIs most seamlessly.
Deep Dive: 👉 Read the Deep Dive: ONDC & Embedded Finance: Unbundling Indian E-commerce
In this guide: How to become an ONDC Network Participant, leverage AA for credit scoring, and reduce logistics costs.
Managing Trust Deficits in DPI 2.0
While the underlying technology of DPI 2.0 is powerful, the true bottleneck in rural digital adoption is a profound trust deficit. When users are confronted with dense, poorly translated data-sharing requests, they often experience Account Aggregator consent fatigue and abandon the digital flow entirely.
To overcome this, product teams must frame all UI/UX within India's DEPA (Data Empowerment and Protection Architecture) and consent-based data sharing standards. De-jargonizing technical banking terminology, leveraging recognized institutional trust signals, and explicitly showing how data sharing enables direct benefits—such as faster cash-flow-based underwriting—are mandatory steps to resolve drop-offs and alleviate data privacy concerns without resorting to deceptive dark patterns.
Section 2: The AI Layer - Generative AI & The "Voice-First" Revolution
India is not a text-first market; it is a voice-first market. However, traditional Large Language Models (LLMs) like GPT-4 are often too expensive and too "English-centric" for mass deployment in Bharat.
Small Language Models (SLMs): We are seeing a rise in "Frugal AI"—models like Sarvam or Krutrim that are fine-tuned for Indic languages and run efficiently on lower compute.
Multimodal Agents: The next generation of Bharat apps won’t have complex menus. They will have a "Mic" button. AI agents will handle end-to-end tasks—from searching for a train ticket to negotiating a price—in dialects like Bhojpuri or Marathi.
Strategic Insight: Your AI strategy for India shouldn't be about "chatbots." It should be about "Action Models" that can navigate your app on behalf of a semi-literate user.
Deep Dive: 👉 Read the Deep Dive: Vernacular AI: Building Voice Agents for India's Diversity
In this guide: SLMs vs. LLMs, designing voice-first UX, and the economics of vernacular AI.
Section 3: The Money - Unit Economics & Monetization Strategy
The biggest criticism of the "Bharat" market has always been low ARPU (Average Revenue Per User). But 2025 is proving that Tier-3 users will pay—if the model is right.
Sachet-ization of SaaS: Just as shampoo is sold in sachets, software and services must be unbundled. Micro-subscriptions (e.g., â‚ą29/week) work where monthly plans fail.
Assistive Commerce: Trust is the currency of Bharat. Successful monetization often involves a "Phygital" layer—using digital tools to empower offline agents (the local kirana or influencer) who then convert the end user.
From DAU to Revenue: The vanity metric of "Daily Active Users" is dead. The focus is now on "Wallet Share."
Strategic Insight: You cannot subsidize your way to scale anymore. Your product must demonstrate immediate, tangible value (ROI) to the Tier-3 user to unlock their wallet.
Deep Dive: 👉 Read the Deep Dive: Cracking the Wallet: Unit Economics & Monetization for Tier-3
In this guide: Pricing strategies, the "Assistive" model, and lowering CAC with trust markers.
FAQ: Building for Bharat
Q: Is ONDC relevant for B2B startups?
A: Absolutely. ONDC is not just for B2C retail. It has protocols for B2B trade, logistics, and even mobility. It lowers the barrier to entry for B2B supply chain startups by providing ready-made discoverability.
Q: Why use Small Language Models (SLMs) instead of GPT-4?
A: Cost and Latency. For a Tier-3 use case, you cannot afford the API costs of a massive model. SLMs are cheaper, faster, and when fine-tuned on specific Indian dialects, they often outperform larger generic models in accuracy.
Q: How do I monetize users who don't have credit cards?
A: UPI Autopay and the Account Aggregator framework are key. UPI allows for recurring micro-payments without cards. The AA framework allows you to assess creditworthiness based on cash flow rather than credit history, enabling "Buy Now Pay Later" models.
Q: What is the biggest UX challenge for Tier-3 users?
A: "Digital Hesitation." Users are often afraid they will press the wrong button and lose money. UI designs must be forgiving, use voice confirmation, and minimize text input.
Sources & References
The following are the authentic sources referenced in this guide:
- NPCI & ONDC: Official strategy papers on network participation and interoperability.
- iSPIRT: Technical documentation on the India Stack and Account Aggregator framework.
- RBI: Guidelines on digital lending and data privacy.
- Industry Reports: "The State of Indian Internet" (Various), NITI Aayog AI Strategy.
Disclaimer: This content is for informational purposes for product leaders. For specific legal or financial integration standards, always refer to the official documentation from NPCI/ONDC.
