Athletic & Activewear DTCFrom zero analytics data to €323K/month in additional revenue. 18 winning tests in 6 months.
A free 30-minute call with the team. That's it.
The short version
Oceansapart is an athletic and activewear DTC brand that was under serious financial pressure when DRIP began the engagement. Recent shop migrations had wiped out all historical analytics, and GA4, Meta and ad tracking were barely installed. Starting from a 1.48% conversion rate with zero usable data, we built a testing program that generated +€323,923/month across 18 winning tests in just six months, surpassing the 10% uplift guarantee ahead of schedule.
The turnaround program added +€323K per month from 18 winning tests while the data foundation was being rebuilt.
Oceansapart is a DTC athletic and activewear brand that had been through a turbulent period. After being acquired by SNOCKS out of insolvency, the brand was under serious pressure to demonstrate that the e-commerce operation could become profitable.
The situation was made significantly more complex by recent shop migrations that had effectively wiped out all historical analytics data. GA4 wasn't properly configured, Meta tracking was incomplete, and ad attribution was unreliable. The team was essentially flying blind.
The challenge was three-dimensional. First, the conversion rate sat at 1.48%, workable, but leaving significant revenue on the table. Second, the brand couldn't change the economy or consumer behavior, the only lever was optimizing what they controlled on-site. Third, and most critically: they had zero usable data to build from.
Most CRO agencies would have spent months getting analytics set up, running baseline measurements, and building a data foundation before testing anything. Oceansapart didn't have months. The financial pressure demanded results now.
Our process
DRIP's method in three steps, and what each step looked like at Oceansapart.
Step 1
Build customer understanding without waiting months for perfect tracking.
Step 2
Keep the roadmap accountable to revenue exposure, ease, and live learning.
Step 3
Run small, sharp experiments while the analytics foundation is being rebuilt.
Step 1
Build customer understanding without waiting months for perfect tracking.
We used DRIP's research, customer and product reviews, academic literature, competitor patterns, and our database of thousands of experiments to model what would matter for Oceansapart shoppers. The focus was not abstract fashion inspiration. It was confidence: fit, value, body image, product benefits, and trust after the ownership change.
Oceansapart did not need more opinions. It needed a research model strong enough to act before analytics history existed, then a way to validate the model with live tests.
Input
We combined customer reviews, product signals, early analytics, expert research, and known fashion-test patterns.
Model
The research prioritized fit certainty, value clarity, product proof, and low-friction discovery.
Output
Research produced hypotheses that could launch before months of clean analytics existed.
Step 2
Keep the roadmap accountable to revenue exposure, ease, and live learning.
After ideation, the real work was deciding what should ship first. We filtered the prioritization engine by relevant apparel and wellness patterns, then scored ideas by page exposure, scroll depth, research indicators, implementation cost, and the win patterns from the database of thousands of experiments.
This is where turnaround CRO becomes disciplined. The roadmap made progress, ROI, and learning visible to product, marketing, and leadership while the business was under pressure.
Prioritize
Ideas were scored by how much traffic and revenue they could influence, not by how exciting they sounded.
Sequence
The roadmap balanced upside, implementation effort, research signal, and known win patterns.
Compound
With 12 tests running and 14 in the pipeline, every result fed the next round of priorities.
Step 3
Run small, sharp experiments while the analytics foundation is being rebuilt.
Instead of waiting for a perfect tracking setup, we built tests that created their own baselines. The first wave focused on high-exposure ecommerce surfaces: PDP benefit proof, price display, bestseller cues, homepage product order, PLP banners, sold-out recovery, and cart behavior.
The fastest path was not a full redesign. It was a sequence of tightly scoped improvements where each win could add monthly profit immediately.
Scope
Each test targeted a visible revenue surface where a small behavioral fix could move monthly profit.
Build
Design briefs, 3-5 variants where needed, and QA kept velocity high without messy execution.
Measure
Tests generated the data foundation Oceansapart was missing while still producing immediate wins.
Because the brand had no usable history, we treated each revenue leak as a research-backed hypothesis. The priority was fast profit, but not random quick wins: every test had to reduce uncertainty, improve value perception, or keep purchase intent alive.
A+ content, benefit sublines, bestseller cues, ATC layout, and sticky-ATC changes made the PDP easier to trust and act on.
Heavy discount culture made price display a conversion risk. The offer had to be instantly legible across PLP, PDP, and cart drawer.
Activewear shoppers need confidence that the garment will fit, flatter, and perform before they commit.
Unavailable variants were leaking demand. Alternative product suggestions kept high-intent shoppers moving.
Category order, bestseller placement, and collection banners shaped browsing before product-level decisions happened.
Research-based hypotheses and controlled tests made it possible to start without waiting.
Savings had to feel clear without teaching shoppers to wait for bigger codes.
Benefits, fit and clear actions built functional and emotional confidence.
Alternatives shown right away could open the next good path to buy.
The real control, variant and result screenshots behind each test.
Test 1 of 5
When a variant is sold out, we added a 'Similar Products' section below the Notify Me button to redirect purchase intent instead of losing it. Leverages choice architecture and frustration reduction, giving shoppers an immediate alternative rather than a dead end.
Test 2 of 5
Repositioned the bestseller slider below the category section on the French market homepage so users browse categories first, then see bestsellers in context. Uses contextual relevance and order effects, category browsing primes intent before bestseller social proof reinforces it.
Test 3 of 5
Replaced the traditional static size chart with an interactive Sizekick recommendation tool behind a 'Find My Size' link. Reduces sizing uncertainty through cognitive ease and personal relevance, shoppers get a tailored recommendation instead of interpreting a generic table.
Test 4 of 5
Changed how discounted prices were displayed across the buying journey so shoppers understood the real offer without mental math or discount-code confusion. This directly addressed Oceansapart's discount-trained demand problem.
Test 5 of 5
Added a concise product subline summarizing the top two benefits directly on the PDP. The change made the product promise visible at the decision point instead of burying the reason to believe lower on the page.
In six months, the program delivered +€323,923 in monthly additional revenue across 18 winning tests. This surpassed the agreed 10% uplift guarantee well ahead of schedule.
Starting from zero data to this level of impact in half a year demonstrates that the speed of results is primarily determined by the quality of the research and testing methodology, not by how much historical data you have available.
The engagement also established the analytics infrastructure that Oceansapart was missing, meaning the data generated by the tests themselves became the foundation for ongoing optimization.
The Oceansapart case destroys a common myth in CRO: that you need months of data collection before you can start testing. You don't. What you need is a research methodology that generates insights independent of historical analytics, and the ability to build the measurement framework as you go.
For brands in turnaround situations or post-migration: don't wait for perfect data. A research-first approach using consumer psychology can generate actionable hypotheses from day one. The 18 winning tests in six months prove that pace doesn't have to mean recklessness, it can mean precision at speed.
The financial impact, €323K/month, also shows that CRO can be the fastest lever available to brands under pressure. Unlike brand campaigns or new product development, conversion optimization impacts existing traffic immediately.
Book a call with the team and tell us about your shop. We'll talk through where it stands, where you want it to go, and how we'd get you there. If working with us isn't the best return on your money, we'd tell you rather than take it.
30 minutes, and you'll know exactly where your shop stands.
