Most agency case studies show only wins. We’re sharing the full picture — successes, failures, and lessons — because that’s more useful for founders evaluating strategies.
| Metric | Start (Jan 2026) | End (Dec 2026) |
|---|---|---|
| Monthly revenue | ₹3L | ₹22L |
| Primary channel | Instagram DMs only | Shopify + Instagram + Amazon |
| Ad spend | ₹30K | ₹3.5L |
| ROAS | 2.1x | 5.8x |
| Repeat purchase rate | 5% | 28% |
What worked: UGC-first creative strategy, WhatsApp post-purchase flows, regional language product descriptions.
What didn’t: Pinterest generated minimal sales despite 6 months of consistent posting. Google Shopping underperformed for ethnic wear.
| Metric | Start | End |
|---|---|---|
| Monthly revenue | ₹8L | ₹32L |
| Subscription revenue | ₹0 | ₹7L (22% of total) |
| Customer support cost/order | ₹22 | ₹7 (AI chatbot) |
| Repeat purchase rate | 12% | 34% |
What worked: Subscription model (subscribe & save), AI chatbot for support, founder-led Instagram content.
What didn’t: Influencer marketing ROI was inconsistent. 70% of influencer collaborations generated zero measurable sales.
| Metric | Start | End |
|---|---|---|
| Monthly revenue | ₹5L | ₹15L |
| Channels | D2C only | D2C + Amazon + Blinkit |
| Quick commerce revenue | ₹0 | ₹3L (20% of total) |
| RTO rate | 18% | 6% |
What worked: Quick commerce (Blinkit) became the surprise growth channel. COD verification reduced RTO dramatically.
What didn’t: Flipkart was unprofitable — high commission + low ASP meant negative margins. Pulled out after 4 months.
| Metric | Start | End |
|---|---|---|
| Monthly revenue | ₹6L | ₹14L |
| Amazon revenue | ₹0 | ₹4L |
| D2C margin | 42% | 48% |
| Average order value | ₹1,800 | ₹2,600 |
What worked: Marketplace + D2C hybrid strategy (Amazon for discovery, D2C for repeat). Product bundling increased AOV 44%.
What didn’t: Email marketing underperformed for home decor — 6% open rates despite quality content. WhatsApp was 4x more effective.
| Metric | Start | End |
|---|---|---|
| Monthly revenue | ₹12L | ₹45L |
| Ad spend | ₹3L | ₹8L |
| Blended ROAS | 4x | 5.6x |
| Subscription base | 0 | 2,800 active subscribers |
What worked: Scaling Meta ads beyond ₹5L/month while maintaining ROAS. Subscription model was the biggest growth driver.
What didn’t: Expanding to protein/fitness category too early diluted brand focus. Revenue growth stalled for 2 months before refocusing on core supplements.
The 5-brand portfolio above isn’t about copying any one playbook — it’s about reading which patterns apply to your specific category, AOV, COD ratio, and team capacity. We’ll diagnose where you are in 30 minutes and map the right plays for 2027. No sales pitch. We’ve done it for 200+ Indian D2C brands. ₹385Cr+ revenue processed. 4.5x average ROI. 98% retention.
The Shopify build is ₹50,000 fixed-price with no AMC — bug fixes for what we ship are included for the lifetime of the store.
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