We acquire 25k users a quarter but only 34% come back for month 2. My recommendation is to spend 85% of the ₹50L on retention (coach calls, app engagement, auto refill, a dedicated female track), and the remaining 15% on one lean clinic pilot in Mumbai. The budget is one time, so I'm funding things that keep working once the quarter is over, not recurring costs like a new clinic lease.
85% of ₹50L · ₹42.5L
15% of ₹50L · ₹7.5L setup only
+8 pp inside the quarter
Near full payback in 90 days
Acquisition is fine, we brought in 25k O1 users in 90 days. The issue is that only 34% of them come back for month 2. If they do make it to month 2, 57% continue to month 3, so the product is working for the people who stick around. That tells me the problem is specifically at the month 1 to month 2 step.
| Stage | Users | Conversion |
|---|---|---|
| O1 start | 100 | |
| O2 retained | 34 | |
| O3 retained | 19 |
35% of O1 users receive zero coach calls in their first 21 days. We're already paying ₹120/user/month for coaches, so the capacity exists, it just isn't reaching these users. Fixing this doesn't need new hires.
→ Fix: structured Day 3 + Day 14 touchpoint, redistributed via engagement triage.
Male O1 to O2 is 36%, female is 31%. The gap is probably down to the protocol being male first (minoxidil, finasteride) and women needing a different conversation around PCOS, postpartum, and side effects. Worth a dedicated track.
→ Fix: dedicated female protocol + consult flow + content refresh.
Only 17% of O1 users are daily active on the app. For a product where people need to track progress over 5 to 6 months, that's a problem. The app should be the main place users see their own progress and get reminded to refill.
→ Fix: 30 day tracker + photo streaks + discount unlock on Day 21.
The ₹50L is a one time budget and I only own this for a quarter. A new full format clinic is ₹9.7L/month in fixed costs, which I can't commit to without the recurring budget to back it. So I'd rather put most of the money into things that keep working after Q1, and use a small slice to test a leaner clinic format in Mumbai.
Two mandatory touchpoints per user. But with the coach hiring freeze, I can't make both live calls. So the plan is: Day 3 is a pre recorded video + WhatsApp check in by default, with a live call only for system flagged users (low app opens, missed check ins, side effect questions raised in chat). Day 14 is a live call for everyone still on the protocol. This roughly matches today's call volume, just redistributed to users who actually need help.
Target: +5pp on O1 to O2 · Cost: ₹8L (tooling + video content)
A separate consult flow for women, with female dermatologists where possible, and content that speaks to hormonal and postpartum hair loss specifically. Today the experience is fairly gender neutral, which skews male by default.
Target: close the 5pp gap · Cost: ₹10L
Three things, all cheap to build:
Target: DAU 17% to 30%, +2pp on retention · Cost: ₹15L
At checkout, users are subscribed to monthly auto refill by default, with a clear option to pause anytime. Most of the month 2 churn is probably passive (users just forget to reorder), not active rejection of the product.
Target: +1pp on retention · Cost: ₹5L
Standalone, the clinic loses money. With the halo effect on nearby digital conversions, it's profitable. So the clinic is really a CAC and conversion lever, not a standalone P&L.
| O1 starts | 1,100 × 37% = 407 |
| Month 1 revenue | 407 × ₹3,300 = ₹13.4L |
| Gross profit @ 62% | ₹8.3L |
| Fixed costs | minus ₹9.7L |
| Halo lift (14% on ~1,800 local digital leads) | + ₹4.5L |
| Net contribution | + ₹3.1L |
The brief doesn't tell us O1 to O2 for clinic acquired users vs digital. I'm assuming clinic users retain a bit better (42%) because they paid more upfront and had a face to face consult, which usually signals higher commitment. Here's how the decision changes if I'm wrong.
| Scenario | Clinic O1 to O2 | Verdict |
|---|---|---|
| Worst | 30% | kill |
| Base | 42% | pilot |
| Best | 48% | scale Q2 |
I'd confirm this in Q1 by running the Mumbai pilot and tracking clinic users separately.
| Initiative | Spend | Type |
|---|---|---|
| Coach playbook + engagement triage | ₹8L | Tooling |
| Female protocol track | ₹10L | Content |
| App activation engine | ₹15L | Eng + CRM |
| Auto refill at checkout | ₹5L | Eng |
| 1 Mumbai clinic pilot (setup) | ₹7.5L | Capex only |
| Experimentation + measurement | ₹4.5L | A/B infra |
| Total | ₹50L |
| Lever | Δ O1 to O2 | Δ GP |
|---|---|---|
| Coach playbook | +5 pp | ₹22.5L |
| Female track | +1.5 pp | ₹6.7L |
| App activation | +2 pp | ₹9.0L |
| Auto refill | +1 pp | ₹4.5L |
| Base case total | +9.5 pp | ~₹42.7L |
| Mumbai halo (upside) | + ₹3.0L |
I'm deliberately keeping the clinic halo out of the base case because we don't have clinic retention data yet. Even without it, the retention plan pays back ~85% of the ₹50L spend inside the quarter.
The real story is the second quarter: these systems keep running at near zero marginal cost. Expected 2-3 quarter ROI is ~150%+ as retention compounds into O3 and beyond.
Supply check: An 8pp lift on ~8,300 new O1/month adds ~660 extra kits/month into the refill queue, plus some compounding into O3. Well inside the 6,000 kit/month buffer, but I'd track it weekly from Week 3 onwards.
Assumptions used: O1 to O2 has been stable at 34% (confirmed). AOV ₹2,900, gross margin 62%. Clinic acquired retention assumed at 42% (base case). No additional coach headcount. Halo measured via geo holdout against a similar non clinic city.
| # | Metric | Target | Role |
|---|---|---|---|
| 1 | O1 to O2 retention | 34% → 42% | North star |
| 2 | Coach touchpoint reach | 65% → 95% | Input metric |
| 3 | App DAU (21 day cohort) | 17% → 30% | Leading indicator |
| 4 | Blended CAC | ₹950 → ₹820 | Secondary |