How a Men's Skincare Brand Scaled from 35 to 125+ Orders/Day While Improving ROAS from 1.1 to 2.25
From discount-driven growth to system-driven scaling — in just 90 days.
Daily Orders
125+
30-40
ROAS
2.25
1.1
Revenue Growth
+19%
RTO
Reduced
29%
What Was Breaking
the System?
An established men's skincare brand with traction and demand, but no profitable growth. Scaling ad spend increased losses. The founder was stuck: more discounts meant more orders but lower margins.
What We Set Out to Achieve
From Discount-Driven Growth to System-Driven Scaling
Instead of pushing offers harder, we rebuilt the acquisition engine from scratch.
Creative Engine Overhaul
Before/after transformation visuals, hook-based UGC, problem-first storytelling, benefit-led messaging.
- Before/after transformation visuals
- Hook-based UGC content
- Fact-based product positioning
Full Funnel Restructuring
TOFU for scale, MOFU for education, BOFU for retargeting, dynamic cart abandoner retargeting.
- TOFU/MOFU/BOFU structure
- Dynamic cart abandoner retargeting
- Weekly performance-based budget allocation
Smart Offer Engineering
Instead of discounts: 'Surprise Gift on Orders Above ₹499'. Increased perceived value, improved AOV, reduced price sensitivity.
- Surprise gift threshold strategy
- Increased perceived value
- Reduced direct price sensitivity
RTO Optimization & Geography Filtering
Removed high-risk pincodes, location-based filtering, smarter budget allocation by region.
- High-risk pincode removal
- Location-based performance filtering
- Region-optimized budget allocation
Enhanced Tracking & Data Accuracy
Corrected pixel setup, enhanced conversion tracking, state-level profitability analysis.
- Pixel setup correction
- Enhanced conversion tracking
- State-level profitability analysis
Retargeting & Performance Scaling
Meta + Google retargeting, warm audience scaling, lookalike expansion, performance-based budget shifting.
- Meta + Google retargeting stack
- Warm audience scaling
- Lookalike audience expansion
The Impact
Daily Orders
30-40
125+3X+ growth
ROAS
1.1
2.252X improvement
Revenue
+19% growth
RTO
29%
Reduced significantly
Before vs After
Before
Discount-heavy strategy
After
Value-led positioning
Before
Weak creatives
After
Structured creative engine
Before
Low ROAS (1.1)
After
Profitable ROAS (2.25)
Before
High leakage
After
Geography-level optimization
Before
Unstable scaling
After
Data-backed scaling
Before
5% repeat rate
After
Improved retention
Reason to Believe
If your brand faces ROAS below 1.5, high CAC, and heavy discount dependency — the issue isn't just Meta. It's your growth infrastructure. Fix the system and scaling becomes predictable.