01. The Meta-algorithm trap
Every time Meta updates attribution or auction logic, a percentage of Indian D2C brands go from profitable to bleeding overnight. The root cause is never Meta — it's fragile unit economics. When your CAC-to-first-order LTV ratio is 1.0 or below, one algorithm change is fatal.
02. The 3 numbers every D2C founder should tattoo
CAC (cost to acquire), M1 Contribution Margin (revenue – COGS – shipping – payment gateway, at first order), and 12-month LTV. If M1 CM doesn't cover 60%+ of CAC, you're growing on venture subsidy — not economics.
03. Retention: the compounding lever nobody wants to build
A 10% lift in retention is worth 4–5x a 10% lift in acquisition. Yet founders spend 90% of energy on top-of-funnel. Retention loops we install: subscription default, WhatsApp-based cross-sell, loyalty points, birthday surprise SKUs, community activation.
04. Pricing power = retention power
Brands that can raise price 8–15% without losing customers have real pricing power — and real defensibility. We run pricing tests in month 2 of most D2C engagements. The lift, when it works, drops straight to the bottom line.
05. Rebuilding the P&L view
Your Google Analytics is not your P&L. We build a cohort-based revenue view in every engagement — cohort by cohort, month by month, showing exactly how each acquisition month plays out over 24 months. It's the single most useful chart a D2C founder can own.
Tags:Unit EconomicsD2CRetentionBusiness Growth
Frequently Asked Questions
What is a healthy CAC:LTV ratio?+
For D2C in India: 12-month LTV should be at least 2.5x blended CAC. For B2B SaaS: 3–5x is standard.
How do we calculate LTV correctly?+
Use gross margin, not revenue. And use cohort-based calculations, not averages — averages lie.
Should we always chase LTV?+
Not always. In some verticals (weddings, one-time services), you need a positive M1 model. LTV is only relevant if repeat purchase is realistic.