Case Study
DTC Paid Ads
How Sequence scales DTC brands with precision strategy,
rigorous SOPs, and profit-first execution.
2 CLIENT SUCCESS STORIES Β· 2024 β 2025
+33.5%
YoY Net Sales Growth
20%
Net Profit Floor Hit
-54.5%
MER Efficiency Gain
CASE STUDY 01
How We Engineered a Profit-First Pivot for a Scaling Travel Brand
Executive SummaryΒ
We scaled a single-SKU travel brand to $1M in 90 days, then engineered a full strategic pivot when unit economics threatened sustainability. Sequence restructured the acquisition model, diversified channels and geographies, and drove a sustained 20% Net Profit floor through the off-season.
The Challenge
The 'Scale at All Costs' Trap
After driving rapid initial scale, our audit uncovered that the existing growth model was fundamentally misaligned with the brand’s unit economics. We identified three compounding problems threatening long-term viability:
Retention Flaw
As a single-SKU travel product, organic repurchase rates were naturally low. We identified that the account was ‘buying’ growth without ensuring Day 1 profitability, a model we immediately moved to correct.
Seasonal Fragility
Product utility tied to warm weather created a projected 60β70% revenue collapse during Northern Hemisphere winter months.
Under-Utilized Channels
100% reliance on Meta left high-intent bottom-of-funnel demand unaddressed like Google Search and Shopping were completely untapped.
OUR SOLUTION
Data-Driven Market & Channel Diversification
| 1 | Profit-First Meta Restructure | Deep audit of the Meta ecosystem. Cut all creatives below 1.5x ROAS. Deployed hero-angle rapid testing pipeline. Maintained $100k+/mo at stable 2.0x ROAS. |
| 2 | Seasonal Arbitrage: Australia Pivot | Identified Australia entering its peak Spring/Summer cycle while US/EU entered winter. Budget shifted to Southern Hemisphere to maintain revenue and 20% margin target. |
| 3 | Google Ads Launch | Structured Search & Shopping campaigns to capture high-intent demand. Higher efficiency than Meta, the 'secret sauce' protecting the overall profit floor. |
PERFORMANCE METRICS
KEY RESULTS
| Metric | Pre-Management | Post-Management | Result |
|---|---|---|---|
| Primary Goal | Volume / Growth | Net Profitability | β Target Met |
| Net Profit % | ~2% β 5% | 20% | β +15β18 pts |
| Meta ROAS | Inconsistent | 2.0x (Stable) | β Maintained |
| Market Reach | US / EU Only | Global (AU Pivot) | β Diversified |
| Channel Mix | 100% Meta | Meta + Google | β Omnichannel |
CASE STUDY 02
Driving 33% YoY Growth on a Fixed Budget
Executive SummaryΒ
A fashion brand was not growing and wanted to increase its revenue without spending more money on marketing compared to last year. Sequence delivered a full-stack growth overhaul like creative engineering, custom landing pages, and margin-aware merchandising – resulting in a $1.6M increase in net sales (+33.5%) and MER improvement from 22% down to 10% on nearly identical spend.
The Challenge
The Diminishing Return Plateau
The brand was trapped in ‘efficient stagnation’ consistent spend, zero scale. Three root causes were identified through Sequence’s initial audit:
Creative Fatigue
Repetitive static image ads had exhausted audience segments. No testing pipeline existed to combat performance decay.
Generic Landing Pages
Traffic was sent to standard product pages with no conversion optimization, resulting in poor AOV and algorithm inefficiency.
Budget Misalignment
Spend was distributed evenly throughout the year, failing to capitalize on peak demand windows, especially BFCM.
OUR SOLUTION
Full-Stack Growth Overhaul - 5 Parallel Levers
| 1 | Creative Engineering | Replaced static images with diverse formats: Lifestyle GIFs, 'Outfit Inspo,' high-aesthetic product content. Rapid-testing pipeline unlocked new audience segments. |
| 2 | LP Architecture | Built editorial landing pages - seasonal 'Top 5' and 'How-To' style pages. Improved AOV and Meta algorithm efficiency by reducing bounce rate. |
| 3 | Margin-First Merchandising | Audited SKU library to identify 65%+ gross margin hero products. Built season-specific feed optimizations prioritizing high-margin inventory. |
| 4 | Channel Optimization | Eliminated wasteful Meta retargeting cannibalizing organic sales. Forced pure new-customer acquisition on Meta; Google harvested high-intent demand. |
| 5 | Strategic Budget Pacing | Reduced trough-month spend to build a BFCM War Chest. Massive November harvest achieved without increasing the annual budget. |
PERFORMANCE METRICS
KEY RESULTS
| Metric | 2024 Baseline | 2025 Managed | Variance |
|---|---|---|---|
| Total Ad Spend | $600,000 | $630,000 | +5% Only |
| Total Net Sales | $4.7M | $6.3M | β +33.5% |
| Blended MER | 22% | 10% | β -54.5% Efficiency |
| Net Revenue Added | β | $1.6M | β +$1.6M |
| Budget Efficiency | Flat Pacing | Strategic BFCM Pacing | β Optimized |