Fashion / Underwear DTC350+ A/B tests since 2019 added €8.2M+ in revenue while SNOCKS grew from an Amazon seller into its own online brand.
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Partner since 2019
The short version
SNOCKS started as an Amazon seller doing €2M/year with razor-thin margins and no A/B testing infrastructure. Over five years of partnership with DRIP, we ran 350+ A/B tests, more than 100 of them winners, and generated €8.2M in additional revenue.
The old PDP was a functional Shopify page. The live 2026 page is a tested buying system: clearer bundles, visual color selection, trust signals, sizing support, and merchandising that helps shoppers buy more confidently.
SNOCKS is a German DTC underwear and basics brand founded by Johannes Kliesch. Starting as an Amazon seller, the brand migrated to Shopify to build a direct-to-consumer channel, but faced the fundamental challenge every DTC brand encounters: making the economics work when you're spending heavily on acquisition.
With an average order value of just €29 and low margins on basics products, SNOCKS couldn't profitably scale ad spend. Every additional customer acquired cost more than the previous one, and the revenue generated per visitor wasn't growing fast enough to compensate. They needed a way to extract more value from every user who landed on the site.
The core problem wasn't traffic, SNOCKS was good at driving visitors to the site. The problem was that those visitors weren't converting at a rate or value that made the acquisition economics work at scale.
AOV was €29, barely enough to cover acquisition costs on some channels. And with no structured testing infrastructure, the team was making product and UX decisions based on gut feeling and competitor copying rather than actual customer data.
Not incrementally, exponentially.
Our process
DRIP's method in three steps, and what each step looked like at SNOCKS.
Step 1
Find what customers consciously and subconsciously need before designing tests.
Step 2
Use each signal and result to make the next test more likely to win.
Step 3
Run more valid experiments in parallel instead of waiting for one test at a time.
Step 1
Find what customers consciously and subconsciously need before designing tests.
DRIP's research combined reviews, behavior data, psychological drivers, buying motivations and category entry points into one picture of the buyer. SNOCKS shoppers were practical, comfort-led, skeptical of hype, and highly responsive to proof when proof removed daily friction.
The test roadmap stopped being a list of page ideas and became a behavioral model: prove comfort, reduce first-order risk, make fit easier, and remove hidden effort from high-intent paths.
Input
Reviews, heatmaps, session recordings, search behavior, and documented analyses were treated as one evidence base.
Model
We mapped comfort, security, autonomy, fairness, and fit certainty into decision drivers.
Output
Every insight translated into a page surface, proof mechanism, and measurable learning goal.
Step 2
Use each signal and result to make the next test more likely to win.
Ideas were not kept in a static backlog. They were scored by customer evidence, page type, expected impact, effort, confidence, and research signal, then re-ranked as new test results came in.
Prioritization was the bridge between research and revenue. The backlog forced scientific discipline: strongest signal, clearest hypothesis, highest impact, lowest wasted effort.
Score
Each idea had to earn its place through customer signal strength and expected business value.
Rank
Tests were grouped and sequenced so one result could de-risk the next wave.
Loop
Winners became baselines, losers became constraints, and the next sprint got more precise.
Step 3
Run more valid experiments in parallel instead of waiting for one test at a time.
Once the research was clear, hypotheses were split across PDPs, PLPs, cart, navigation, and offer modules. SNOCKS had enough traffic and access for a parallel testing system, so learning velocity became a growth lever.
The goal was not to find one miracle winner. It was to create enough high-quality shots on goal that the business could compound small wins while learning from every loss.
Surfaces
Research-backed ideas were split across the places where purchase confidence or product discovery broke down.
Cadence
The team moved from slow sequential testing to a portfolio of controlled experiments running at once.
Learning
Every test produced rollout decisions and a sharper understanding of what the buyer needed next.
The strongest opportunity was not a new visual style. It was a sharper model of what shoppers needed to believe before buying: comfort as the pull, durability and sizing as the trust risks, and fairness as the conversion guardrail.
Day-long comfort, soft feel, no pinching, no rolling, and a second-skin fit were the strongest repeat-purchase signals.
Reports of holes, seam failures, and fabric thinning made durability the largest trust-risk topic despite strong comfort sentiment.
Small sizing, color or batch variability, thigh fit, and shrinkage made first-time trial feel riskier than a basics purchase should.
The guarantee accelerated first purchase, but the 6-month window could also trigger skepticism when failures happened later.
When sizing felt uncertain, paid returns became a much larger source of perceived unfairness and purchase anxiety.
Shoppers were not looking for exciting basics. They wanted underwear and socks they could stop thinking about.
Visitors knew what they wanted, but the way to say it was hard to find.
People liked the product promise. The hesitation sat around the risk of a first order.
The promise only worked when sizing, guarantees and returns also felt predictable.
The real control, variant and result screenshots behind each test.
Test 1 of 5
Users who used site search had a 19.24% conversion rate vs 6.87% for non-searchers. But only 0.08% of users actually used search (1,653 of 2.1M visitors), because it was barely visible. Using the BJ Fogg Behavior Model, we identified that ability (finding the search) and trigger (prompting the action) were both broken. We made search prominent and accessible.
Test 2 of 5
Product color selection used abstract color dots that required cognitive effort to differentiate. We replaced them with real product image thumbnails, reducing the cognitive load for comparing options. Customers could instantly see what each color variant looked like on the actual product.
Test 3 of 5
A recent PDP test: the variant added a tactile fabric close-up into the product gallery. It reduced uncertainty around material quality and gave shoppers a more concrete reason to trust the basics product before choosing a bundle.
Test 4 of 5
Tested different approaches to cross-sell recommendations on PDPs and in the cart, focusing on relevance and timing of the recommendation. The strongest variants aligned suggestions with the psychological driver of completeness: completing a set rather than adding random products.
Test 5 of 5
A documented winner on unisex PDPs: adding a secondary 'Complete the look' CTA below Add to Cart gave shoppers a low-friction path into complementary products without competing with the primary purchase action.
Over five years, the partnership generated €8.2M in additional revenue attributed directly to CRO efforts.
This is extremely unusual. SNOCKS saw it increase every single year. That's the compounding effect of systematic, psychology-driven testing at high velocity.
Average order value grew from €29 to €51, not through discounting or artificial bundling, but through genuinely understanding what customers valued and making it easier for them to buy more of what they wanted.
The partnership continues today, with DRIP remaining SNOCKS' conversion optimization partner since 2019.
The SNOCKS case demonstrates that CRO isn't about finding one silver bullet test. It's about building a system that compounds learning over time. With 350+ experiments, the vast majority of individual tests had modest impacts. But layered together, they created a fundamentally different business.
The critical insight: volume matters more than any individual test's impact. Running 100+ experiments per year, grounded in real consumer psychology, not guesswork, creates a compounding advantage that competitors running 12 tests a year simply can't match.
For brands in the €2M-€10M range looking to scale: your bottleneck probably isn't traffic or product. It's how much revenue you extract from each visitor. Fix that, and the acquisition math works at every scale.
They supported us every step of the way, from underdogs to market leaders. Their expertise helped us stay profitable, giving us the foundation to scale and dominate our market.
Johannes Kliesch
Founder, SNOCKS
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.
