I started with total population, filtered down by working-age adults, then tried to layer in income brackets and banking penetration.
Use a top-down approach: start with India's population, segment by age and urban/rural, then estimate credit card adoption based on income and banking access. Cross-check with supply-side data like number of credit cards issued and active users.
Pro tip: Differentiate between credit card holders and active users; for a fintech like Mobikwik, focus on active users and their transaction behavior to show product sense.
Begin with India's total population (~1.4 billion) and segment by age, focusing on the adult population (18-65) which is roughly 60-65%.
Split adults into urban and rural, and further by income levels. Credit cards are more common among urban, higher-income individuals.
Apply penetration rates: e.g., urban high-income: 50-60%, urban middle-income: 20-30%, rural: <5%. Sum up to get total credit card users.
Cross-check with number of credit cards outstanding (~60-70 million) and active cards (~40-50 million) from RBI data.
Ensure the estimate aligns with known figures and discuss implications for Mobikwik's product strategy.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.