Electric Scooters Beyond the Metros
An EV maker saturating metros must decide: go deeper, or go wider?
The Prompt
Your client is an Indian electric two-wheeler maker selling ~15,000 scooters a month, almost entirely in eight metros, through 120 company-owned experience stores. Growth is flattening. The CEO wants a recommendation on entering tier-2 and tier-3 cities — and whether the metro playbook will survive the journey.
Opening exchange
Three clarifications. Is the flattening a demand problem or a supply/capacity constraint? Do we have evidence of tier-2 demand today — say, inquiries or deliveries to nearby towns? And what does the metro playbook cost — what's the economics of an experience store?
Demand-side — metro share has plateaued around 18%. About 12% of current bookings already ship to towns around the metros, unprompted. An experience store costs ~₹1.2 crore a year to run and supports ~150 sales a month.
The unprompted 12% is the buried signal: latent demand already exists. Strong candidates seize on it.
That unprompted 12% is meaningful — demand is pulling us outward before we've pushed. The question shifts from whether to how: which cities, and with what model, since a ₹1.2 crore store needing 150 sales/month may not clear in a tier-3 town.
Structure & Hypothesis
Structure in three layers: market attractiveness city-by-city (not "tier-2" as a blob), the right-to-win read across segments, and the entry model — because the binding constraint is distribution economics, not product.
Analysis & Data
The CEO worries about two tier-2 specifics: charging anxiety and resale value. How do they change the play?
Both bite harder outside metros. Charging: tier-2 homes more often have private parking, which helps — home charging is the EV's tier-2 advantage — but public infrastructure is thin, so range claims must be conservative and the service van network doubles as roadside assurance. Resale: thinner used-EV markets mean buyers fear being stuck; a manufacturer buy-back guarantee at, say, 50% after 3 years directly attacks the #1 adoption barrier and costs little if battery health data supports it.
Turns each risk into a specific, costed mitigation rather than acknowledging it generically.
Quickly: the client can fund 25 new points of presence next year. Allocate them.
Roughly: 8 own stores in the largest tier-2 cities that clear the 110/month bar; 12 franchises in the next band, prioritizing cities with existing unprompted bookings and state subsidies; 5 hub-and-spoke conversions around the metros where that 12% spillover already ships — cheapest demand we can serve, since the brand work is done.
Recommendation
Recommend to the CEO
- Enter wider, with a three-channel architecture matched to city demand density — do not export the metro store model wholesale.
- Sequence: hub-and-spoke around metros first (capture the existing 12% spillover), then franchise the subsidy-rich tier-2 band, own stores only in the top ~8 cities.
- De-risk adoption with a 3-year buy-back guarantee and conservative real-world range claims.
- Add a commercial-fleet line of attack (delivery riders) in tier-2 — TCO economics sell themselves without brand spend.
Key Takeaway
What this case teaches
Geographic expansion cases are usually channel-economics cases in disguise. Break "tier-2" into bands by demand density, let the break-even math assign a channel to each band, and hunt for spillover demand — it's the cheapest growth you'll ever buy.