How a Shopify Intimate Care Brand Scaled from 100 to 350+ Orders/Day While Fixing ROAS, RTO & Profitability
Not just more orders — profitable orders. By rebuilding the growth engine from the inside out.
Daily Orders
350+
90-100
ROAS
2.45
1.25
Revenue Growth
+59%
RTO Reduction
18% fake orders eliminated
42%
What Was Breaking
the System?
The brand was established with traction — doing 90-100 orders per day. But growth wasn't profitable. Scaling ads meant losing more money. The founder was stuck: increase budget = lose margin, reduce budget = lose growth.
What We Set Out to Achieve
Rebuilding the Performance Engine
Instead of scaling ads blindly, we rebuilt from the inside out.
Creative Engine Rebuild
Hook-based UGC, real usage videos, problem-first storytelling, before/after positioning, trust builders.
- Hook-based UGC content
- Problem-first storytelling
- Structured creative testing
Full-Funnel Restructuring
TOFU for awareness, MOFU for education, BOFU for retargeting. Budget by data signals.
- TOFU → MOFU → BOFU structure
- Dynamic cart retargeting
- Data-driven budget allocation
RTO Leakage Fix
Removed high-risk pincodes, geography filtering, COD risk reduction, confirmation workflows. 18% reduction in fake orders.
- High-risk pincode removal
- COD risk reduction logic
- Confirmation workflows
AOV Optimization via Bundles
Bundle strategy, discount engineering, better offer positioning. Higher cart = better ad tolerance.
- Strategic bundle offers
- Structured discount engineering
- Higher cart value strategy
Backend Retention Automation
Using Brevo + QuickReply: abandoned cart recovery, post-purchase education, replenishment reminders, review flows. Repeat from 11% improved.
- Abandoned cart recovery
- Replenishment reminders
- Post-purchase education flows
Data & Tracking Correction
Enhanced conversion tracking, funnel-level mapping, state-level profitability. 75% revenue from top 10 states, aligned budget accordingly.
- Enhanced conversion tracking
- State-level profitability analysis
- 75% budget to top-performing regions
The Impact
Daily Orders
90-100
350+250%+ growth
ROAS
1.25
2.4596% improvement
Revenue
+59% growth
RTO
42%
18% fake orders cut
Before vs After
Before
Ad-dependent growth
After
Structured creative engine
Before
Poor backend
After
Full retention automation
Before
High cash leakage
After
RTO-controlled delivery
Before
Weak creative system
After
Funnel-driven scaling
Before
No retention engine
After
Lifecycle automation
Before
Scaling = losing money
After
Scaling = improving margins
Reason to Believe
If you're facing low ROAS, high CAC, high RTO, and fear of scaling — the problem isn't Meta. It's your growth infrastructure.