Radical Simplification of Media Buying
Accelerate the algorithm's learning phase by consolidating fragmented campaigns into high-liquidity structures, feeding the machine more data, fewer restrictions.
Case Study · Luxury DTC Fashion
How a complete media buying restructure and conversion rate optimization slashed CPA by 92% — without increasing the baseline budget.
The Challenge
The client was a high-ticket, Direct-to-Consumer luxury fashion brand. On paper, performance appeared manageable — an average ROAS of 4.07x. But every attempt to scale revealed the same painful pattern.
A thorough audit confirmed that the problem was not traffic quality. The real bottlenecks were structural: an over-segmented ad account causing audience overlap and internal competition, combined with a website generating severe purchase friction.
Growth & Profitability First
The goal was not to "optimize ads." It was to build a profitable, scalable growth engine — operating simultaneously across three dimensions, designed to far exceed the 3.2x break-even ROAS.
Accelerate the algorithm's learning phase by consolidating fragmented campaigns into high-liquidity structures, feeding the machine more data, fewer restrictions.
Remove purchase friction at both the technical level (page speed, image optimization) and the psychological level (social proof, size charts, recovery flows).
Implement a strict weekly system: test 3 hooks × 2 angles × 2 formats. Kill underperformers at day 3. Scale winners only after 48–72h of stable CPA.
How It Was Done
Each pillar was deployed in parallel — not sequentially. Every change was measured independently before combining signals.
Media Buying
Transitioned from highly segmented, low-budget campaigns to a consolidated account with maximum data per campaign.
CRO · Technical
Addressed the infrastructure barriers preventing Add-to-Cart users from completing purchase.
CRO · Psychological
Addressed the psychological resistance preventing conversion despite intent.
Creative Engine
A systematic, data-driven creative framework — not creative by intuition.
Methodology
The guiding principle across all three fronts: give the algorithm maximum signal, give the buyer minimum friction.
The Data
The screenshots below are the actual performance data. Not projections. Not averages from a favorable period. The raw account output.
In the first week of November, CPA hovered around $252,000 COP with a 1.67x ROAS. After deploying the Broad restructuring and eliminating purchase friction, by November 7th, CPA plummeted to $9,888 COP — catapulting ROAS to 44.59x.
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Captura de pantalla 2025-11-22 150547.jpgConsolidated weekly data: $35.5M COP ad spend → $993.1M COP in reported conversion value · Avg. CPA $11,891 COP · Overall ROAS 27.92x
Far from a one-day outlier, the system held its gains through scale. $35.5M COP in ad spend produced $993.1 Million COP in reported conversion value, sustaining an extraordinary average CPA of $11,891 COP and an overall ROAS of 27.92x across the full period.
The Outcome
By turning a chaotic media operation into a predictable system, the 20-day sprint delivered results the brand had never achieved.
Before
ROAS
4.07x
CPA at scale
$150,000 COP
CVR
0.5–1%
After
ROAS
31.85x
Avg. CPA
$12,000 COP
Daily orders
~164 / day
What This Proves
Three principles that this project validated — and that apply to every high-ticket DTC brand facing a scalability ceiling.
The ad no longer targets the audience — the creative does. Demographic segmentation is increasingly irrelevant. The right message, delivered broadly, finds its buyer. The wrong creative, aimed narrowly, wastes budget.
An ad only initiates the buying journey. The website closes it. Optimizing one without the other is like filling a leaky bucket. Both must be addressed in parallel to produce compounding returns.
The true metric is profitability at scale — sustained, margin-positive growth. An isolated high ROAS on a low budget proves nothing. A 27.92x ROAS across $35.5M in spend proves a system.