Competitive Landscape
Kirana (neighborhood grocery) stores made up the platform's largest customer segment by volume, but also its highest churn, thinnest margins, and constant discount pressure at renewal — a segment that looked like growth on paper but behaved like a slow leak in practice. India has roughly 12 million kirana stores accounting for ~90% of grocery sales, yet only about 15,000 had adopted app-based digitized operations — a negligible fraction the team initially assumed reflected a budget constraint.
Customer Insight
That assumption was wrong. Standard retention fixes — better onboarding, loyalty incentives — failed because the real issue wasn't retention at all, it was product substitution. An app-based storefront put kirana stores in direct competition with delivery platforms like Blinkit and Zepto for younger, convenience-driven customers they were already losing, while their loyal, relationship-focused customers actively preferred direct conversation or WhatsApp over any digital storefront. The product was quietly competing with the one relationship kirana owners could still keep, while doing nothing for the one they'd already lost.
Positioning
Before
Kirana treated as a core growth vertical, monetized like every other segment, with retention problems treated as an execution issue to be fixed with better onboarding.
After
Kirana repositioned as a freemium-access segment monetized differently from the platform's other channels — with the same underlying mission (bringing India's retailers online) preserved, just with a revenue model matched to what the segment could structurally support.
Messaging
Rather than framing the pivot as retreating from a growth segment, it was framed around matching business model to segment reality: freemium for product-substitutive relationships, paid tiers for segments where the product was additive rather than competitive with an existing customer relationship.
Go-to-Market
The team also evaluated and explicitly ruled out pharmacy retail — an initially attractive vertical that would have required building a wholly separate product to meet drug-licensing regulatory requirements, correctly identified as a distraction from real expansion rather than legitimate growth. Instead, expansion went into fashion, white goods, D2C, and manufacturing/B2B — each selected using actual market data, not inbound lead volume: fashion (a $21.6B market in 2025, growing to ~$98B by 2032) needed the catalog and variant management the platform had already built; white goods and D2C offered materially higher transaction values that could absorb subscription costs without margin compression; manufacturing/B2B tapped an estimated $200B opportunity by 2030 as underserved infrastructure rather than a saturated consumer category.
Sales Enablement
Every new vertical was filtered through one question before Sales pursued it: does this segment need workflows the platform already supports, and can these buyers afford a subscription without sacrificing a relationship they value more than the product? That filter kept Sales from chasing markets that looked big on paper but would recreate the same substitution problem kirana had.
Launch Assets
Segmentation Framework
Framework used to evaluate new verticals — fashion, white goods, D2C, manufacturing/B2B — by platform fit and buyer ability-to-pay, not just market size.
Vertical Onboarding
Segment-specific onboarding and positioning built for each new vertical, replacing a one-size-fits-all go-to-market approach.
Business Impact
2,500+
New customers
New customers acquired across the newly expanded verticals — fashion, white goods, D2C, and manufacturing/B2B.
40%
Fewer support tickets
Reduction in support ticket volume after matching business model to segment behavior.
+12%
DAU/MAU growth
Increase in daily/monthly active users following the vertical expansion and repositioning.
Lessons Learned
Persistent churn doesn't always mean a pricing problem — sometimes a product is quietly competing with a customer relationship the buyer values more than the product itself. The bigger transformation here wasn't a marketing or branding fix; it was recognizing that business model needs to match segment behavior (freemium where the product substitutes a relationship, paid where it adds to one), and that vertical expansion decisions hold up better when filtered through actual buyer capability and platform fit rather than market size alone.