Melin Rose: Growing a Kids Fashion Brand through Data-Driven E-commerce & DCO
Results & Achievements
New Customers
A clear increase in the customer base.
Average Order Value (AOV)
Higher value per order.
Revenue YoY
Strong growth in total e-revenue.
HELPING CLIENTS STEP UP THEIR GAME
Melin Rose was born in the autumn of 2018. A children’s clothing brand that started in a very human way… from the founders’ love for their daughter. Clothes designed with attention to detail. Soft color combinations. And a strong focus on quality.
When our collaboration began, the brand already had something quite important. A flexible production capability. They could adapt collections relatively quickly.
But one key question was still open. Which products actually have demand?
And more importantly… how early can you detect that demand so it can influence production and stock decisions?
A big part of our strategy was built around exactly that.
The goal wasn’t just to run ads and increase sales. The real goal was to turn e-commerce data into a decision-making tool for the brand itself. Something that could ultimately improve profitability, not just traffic.
Campaign Objectives
Strategy & Approach
Our work with Melin Rose wasn’t just performance marketing. It was a bit more holistic than that. We combined e-commerce consulting, data analysis and advertising strategy. The main idea was simple. Turn website traffic into actual brand growth.
And yes… one of the key pieces in that process was the Dynamic Creative Optimizer (DCO).
E-commerce Consulting & Customer Journey AnalysisBecause the brand had flexible production, we were able to use something that many e-commerce stores overlook. Customer journey data. We tracked how users moved through the site. Which products they viewed the most. Which items they added to the cart but didn’t buy. Which categories attracted the most attention. These signals can be surprisingly revealing. Based on this data, we were able to inform the Melin Rose team quite early about emerging trends inside the store. That meant they could adjust stock levels or even influence production decisions before it was too late. In other words… the e-shop started acting like a real-time market research tool.
Google & Meta Ads Strategy:Then came the advertising side.
We built a strategy using a mix of different channels:
● Meta Ads for prospecting, remarketing and scaling campaigns.
● Google Ads to capture users with strong purchase intent.
● Comparison Shopping Service (CSS) to gain additional visibility on Google Shopping without increasing placement costs.
The thinking behind this was pretty straightforward. Cover the entire funnel. Some users discovered the brand through social ads. Others found it while actively searching for children’s clothing. And many came back later through remarketing. Little by little, the e-shop started building a more stable and predictable flow of sales.
Dynamic Creative Optimizer (DCO)The Dynamic Creative Optimizer played a very interesting role in this whole process.
It allowed us to connect the Melin Rose product feed directly with social media ads and generate dynamic creatives automatically. Visuals that could adapt depending on the product, the campaign and the brand identity.
That made a big difference.
Instead of running default catalog ads, the brand could show constantly updated content that felt more relevant to users scrolling through their feeds.
And when something catches your eye in the middle of endless content… results usually follow.
OUR BATTLE PLAN
Customer Journey Analysis
Dynamic Creative Optimizer
Meta & Google Ads
Melin Rose with DCO
FW25-26 Collection
CLIENT TESTIMONIAL
Working with Melin Rose confirmed something we see more and more in modern e-commerce. Marketing isn’t just advertising anymore. When data is used properly, it can influence product decisions, stock management and the overall direction of a brand. The Dynamic Creative Optimizer played a key role here because it made the ads far more engaging for users. And when that’s combined with proper targeting and continuous data analysis… results start to appear.
And maybe the most interesting part? The data generated through this process is still helping the brand make better decisions for future collections. Which products to push. Which categories deserve more attention. And sometimes… which ideas are better left behind. That’s where e-commerce becomes much more than a sales channel. It becomes a learning system for the brand itself.
DISCOVER OUR WORK
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© Geeko Digital Consultants – All Rights Reserved
© Geeko Digital Consultants – All Rights Reserved