LumaSkin Labs
5 Months
Ecommerce Revenue Acceleration Under Scale
Primary Channels: Meta + Google (Shopping/Search)The Outcome
Scaled paid revenue 62% while keeping blended ROAS stable. Improved AOV and conversion rate so growth came from efficiency, not just spend. 5 months.
Paid Revenue
+0%
Scaled
Blended ROAS
Stable
Maintained under scale
AOV & CVR
Improved
Efficiency driven growthWhat Was Happening
They could get sales.
They could not scale without ROAS collapsing.
Every time spend increased:
- CPA rose
- creative fatigued
- product mix got worse
- remarketing carried the numbers
- prospecting turned expensive
It looked like "ads are working."
It behaved like a ceiling.
Economic Snapshot
Monthly Paid Revenue
$410,000
→
$664,000
Monthly Ad Spend
$160,000
→
$230,000
Blended ROAS
2.56
→
2.89
CAC
$62
→
$55
AOV
$74
→
$86
Phase 01
Baseline Reality
The account was optimized for volume, not scalable economics.
- Spend concentrated on a few broad audiences
- Product catalog pushed everything equally, including low margin SKUs
- Remarketing did the heavy lifting, prospecting lacked structure
- No clear budget rules for scaling winners vs feeding losers
- Landing experience was acceptable, but not designed to lift AOV
Phase 02
Constraint
- Beauty and skincare auctions are crowded and volatile
- Margin varied heavily by SKU and bundle
- Inventory constraints on top sellers
- The brand needed growth without sacrificing profitability
- No appetite for heavy discounting to force ROAS
Core Strategy
Leverage Insight
Scaling breaks when you scale the wrong unit. The unit is not "campaigns."
The unit is:
- winning product clusters
- winning audience cohorts
- winning creative angles
- and an AOV engine that keeps CAC tolerable as volume increases
Execution
Intervention Moves
- Rebuilt account structure into three lanes:
- acquisition (prospecting)
- remarketing (recency windows)
- retention (past buyers, replenishment timing)
- Segmented by product cluster:
- hero SKUs
- bundle SKUs
- high margin vs low margin
- Implemented controlled budget rules:
- scale only sets that hold CAC under threshold
- cut anything that drifts beyond the ceiling for 7 days
- Created AOV lift engine:
- bundles positioned in ads
- post click offer framing
- cart threshold incentives without deep discounting
- Creative system rebuilt:
- 4 angle library (problem, proof, ingredient, transformation)
- rotation and fatigue monitoring
- Search and Shopping tightened:
- excluded low intent queries
- prioritized high intent product searches
- protected brand terms separately
- Weekly product mix review:
- spend share by SKU cluster
- margin exposure tracking
- inventory pacing rules
Proof Set
Paid Revenue
$410k → $664k
(+62%)
Spend
$160k → $230k
(+44%)
Blended ROAS
2.56 → 2.89
Stable under scale
CAC
$62 → $55
Improved while scaling
AOV
$74 → $86
(+16%)
New Customer Rate
48% → 57%
Share of paid ordersEconomics Translation
Assumptions labeled:
Gross margin average used for modeling: 58%
We model contribution before overhead, not "profit claims"
Month 0 gross margin ($410k × 58%):
$237,800
Month 0 est. contribution (less $160k spend):
$77,800
Month 5 gross margin ($664k × 58%):
$385,120
Month 5 est. contribution (less $230k spend):
$155,120
Estimated contribution lift per month:
$155,120 − $77,800 = $77,320
Measurement
Control & Tracking
- GA4 ecommerce + platform attribution with consistent event definitions
- SKU cluster reporting: revenue, CAC, margin exposure
CAC ceilings per cluster
AOV movement
New customer share
Creative fatigue signals
Inventory pacing
Growth Trajectory
Next 90 Days
- Scale top two bundle clusters while holding CAC under $58
- Expand retention engine with replenishment timed creative
- Add two new creative angles based on best performing proof themes
- Test subscription option only after AOV stabilizes above $88
If scaling your spend makes ROAS collapse, the problem is not the platform.
It is the system you are scaling.
We will show you the exact point where your economics break, and how to rebuild paid so growth holds when budget increases.