DETAILED CASE STUDY

Dropshipping in India — 90 Day Growth Journey

From uncertainty to clarity: how disciplined testing, video-first creatives, and tight delivery processes transformed performance into a repeatable growth system.

Case Study

₹26,07,739 in Revenue with 6.54× ROAS — Dropshipping in India (90 Days)

Turning a messy testing phase into a predictable growth system using video-first creatives, tight feedback loops, and disciplined scaling—while keeping profitability intact.

  • Industry Dropshipping
  • Market India
  • Platform Shopify + Meta Ads
  • Period 90 Days
Revenue 0
Ad Spend 0
Average ROAS 0
Orders 0
Shopify analytics screenshot showing ₹26,07,739 revenue and order growth
Shopify Sales — 90-day revenue trend and order volume.
Meta Ads performance table with purchases and ROAS
Meta Ads Performance — purchases, costs, and ROAS from the 90-day window.

Context & Objective

The brand was in the classic dropshipping “search mode”: frequent product failures, rising costs, and no clear creative direction. Our goal was simple—find winners fast, prove profitability, then scale without breaking cash flow or customer experience.

Key Challenges

  • Multiple product failures during the first tests.
  • 20–30 products tried before identifying 2 solid winners.
  • Dozens of creatives tested — image ads underperformed, videos worked better.
  • High RTO (failed deliveries) hurting margins and cash flow.

Strategy — What We Did

1) Product Pipeline & Testing

  • Lightweight scoring sheet (demand, margin, delivery readiness).
  • Rapid A/Bs with small budgets (ABO) to avoid overcommitting.
  • Clear kill rules (24–48h) → scale rules when MER/ROAS targets hit.

2) Creative Lab (Video-First)

  • Shift from static images to UGC-style videos (hook → problem → demo → proof → CTA).
  • 3–5 hooks per product, reused best endings to speed production.
  • Weekly creative retro: thumb-stop, hold rate, CPC, CPA → brief next batch.

3) Account Structure

  • Testing: ABO, broad + stacked interests, 3–5 creatives/ad set.
  • Scaling: CBO with the best 1–2 products and top creatives.
  • Retargeting: warm buckets by depth (VC/ATC/IC – 7/14/30d).

4) Delivery & RTO Control

  • Stricter COD confirmations + address verification on checkout.
  • Clear ETA on PDP + WhatsApp/SMS nudges post-order.
  • Courier rules for risky zones to reduce returns.

5) Measurement & Guardrails

  • Watched both Ad ROAS and blended MER to avoid channel bias.
  • Daily cash-flow check: spend pacing vs. pay-cycle for smooth scaling.
  • LP QA: speed, trust markers, and policy compliance.

Execution Timeline (12 Weeks)

  1. Weeks 1–2: Baseline install, pixel/events check, fast creative seeding.
  2. Weeks 3–4: Winners emerge → consolidate budgets, cut underperformers.
  3. Weeks 5–8: Scale on CBO, expand hooks/angles, start warm retargeting.
  4. Weeks 9–12: Stabilize CAC, harden delivery ops, and lift AOV with bundles.

Results

  • 0 total revenue in 90 days.
  • 0 ad spend with disciplined scaling.
  • 0 average ROAS maintained.
  • 0 purchases attributed in-platform (Meta).
  • Video creatives consistently beat image ads on CTR, CPC, and CPA.
  • RTO reduced through better confirmations and clearer delivery expectations.

Want a similar outcome for your store?

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