Food, Snacks & Pantry DTCKoRo went from zero structured A/B testing to +10% session conversion rate and €2.56M added revenue in six months.
A free 30-minute call with the team. That's it.
The short version
KoRo was already a €250M+ European food and snack brand when DRIP started the CRO program, but the store had never run structured A/B testing. We built the program from zero: research into bulk-food buying anxiety, A/B tests across PDP, PLP, cart and checkout, and a roadmap that re-ranked ideas after every result. In six months, KoRo increased session conversion rate by 10%, lifted total revenue by 7%, and added €2,555,643.72 without increasing ad spend.
The six-month period showed the compounding effect of a testing system built on existing traffic instead of extra acquisition spend.
KoRo is a Berlin-based food retailer and DTC brand known for nuts, nut butters, dried fruit, protein snacks, pantry staples, and larger value packs. The brand had strong demand, a broad catalogue, a Certified B Corp position, and a large returning customer base.
That scale made the opportunity unusually valuable. Small lifts on product pages, listing pages, cart, and checkout could move meaningful revenue, but KoRo had no controlled testing system to decide which ideas were actually working.
The buying context was also specific. KoRo customers do not only ask whether a product looks good. They ask whether a large pack is worth committing to, whether it will arrive intact, how long it stays fresh, whether the ingredients match their health goals, and whether the value is obvious before checkout.
KoRo had high traffic and high brand awareness, but CRO decisions were still mostly driven by internal judgment, competitor references, and isolated analytics views. There was no shared evidence system connecting customer motivations, funnel leaks, test ideas, and commercial readouts.
The funnel showed several high-value leaks. The cart abandonment rate was 58.2%, mobile represented 63.6% of traffic, and search users converted 159.18% better while also generating €25.04 higher basket value. That meant the site already contained strong purchase intent, but not every page helped users reach it efficiently.
The strategic challenge was to make the first experimentation program sophisticated from day one. The goal was not to run random cosmetic tests. It was to build a scientific operating system that could predict better ideas, test them quickly, and keep learning after every result.
Our process
DRIP's method in three steps, and what each step looked like at KoRo.
Step 1
Understand why shoppers hesitate before asking which page element to change.
Step 2
Keep the roadmap moving toward the biggest commercial and behavioral questions.
Step 3
Turn research into a portfolio of tests instead of waiting for one large redesign.
Step 1
Understand why shoppers hesitate before asking which page element to change.
We combined documented analyses, customer-language mining, funnel data, heatmaps, attention modeling, and more than 40 hours of session recordings. The work showed that KoRo's strongest conversion questions were not abstract brand questions. They were practical risk questions around large pack sizes, delivery integrity, taste confidence, shelf life, and whether the product matched a health or snack goal.
A good KoRo test had to answer one of the buyer's real risk questions: Will this taste good, arrive safely, stay fresh, fit my routine, and justify the larger pack?
Input
Reviews, analytics, heatmaps, search behavior, session recordings, and documented reports were pulled into one evidence base.
Model
We grouped the evidence into taste, pack-size, delivery, freshness, health, price-value, and checkout effort risks.
Output
Every experiment was tied to a behavioral mechanism such as cognitive ease, risk reduction, goal-gradient effect, or value perception.
Step 2
Keep the roadmap moving toward the biggest commercial and behavioral questions.
The backlog was not a static idea list. We scored ideas by traffic, revenue exposure, ease of implementation, customer evidence, research indicators, and what previous tests had already taught us. The system made it clear when to double down on PDP clarity, when to move to checkout friction, and when a cart idea needed another iteration before rollout.
The highest-value output was not only the winning variant. It was KoRo's new ability to make future CRO decisions with a shared evidence base.
Score
Ideas were scored by page exposure, expected impact, confidence, ease, and research indication.
Sequence
PDP, PLP, cart, and checkout ideas were sequenced based on where the next revenue constraint appeared.
Compound
Every test result changed the roadmap, even when the variant did not become a rollout.
Step 3
Turn research into a portfolio of tests instead of waiting for one large redesign.
DRIP's research tracked 18 KoRo experiments across the high-exposure funnel. The first winners were intentionally narrow: rewrite PDP information to reduce cognitive load, shrink PLP category overviews to expose products faster, and remove optional checkout fields that asked users to do unnecessary work.
The strongest early wins came from making existing intent easier to complete. KoRo did not need louder persuasion first. It needed less effort between motivation and purchase.
Brief
Each test started from a named friction point, behavioral mechanism, page surface, and expected metric effect.
Build
Variants were designed, implemented, QA'd, and launched with a clear readout plan.
Readout
Results were interpreted commercially and behaviorally so the next test could become sharper.
The research showed that KoRo conversion was driven by practical confidence: safe delivery, great taste, pack-size commitment, quality consistency, service trust, and delivery speed.
Customers cared strongly about whether glass, bags, powders, and bulk goods arrived intact and reliably packaged.
Taste carried the strongest positive sentiment and gave PDP copy a clear reason to make expectation-setting more scannable.
Bulk packs created value, but also raised the cost of being wrong for first-time shoppers.
Repeat customers expected consistency across batches, flavors, texture, and freshness.
Service quality helped reduce the risk of damaged shipments, wrong products, or delivery questions.
Speed mattered most once customers had already decided to stock up or needed pantry items soon.
Even a little extra typing or thinking on mobile could cost a purchase.
The route to the right product had to be fast and obvious on mobile too.
Buyers needed clarity on delivery, freshness, pack sizes and their nutrition goals.
Elements that drew the eye also had to be easy to understand.
The real control, variant and result screenshots behind each test.
Test 1 of 5
We rewrote targeted product-page descriptions and bullet points so shoppers could understand benefits, taste expectations, and usage faster. The mechanism was cognitive ease plus value perception: reduce the work required to decide whether a larger food purchase is worth committing to.
Test 2 of 5
The collection page was carrying too much explanatory weight above the product grid. We reduced the category overview so users could reach products faster and compare options with less scrolling.
Test 3 of 5
We reduced checkout effort by removing or moving optional fields such as birthdate and state selection, while keeping the shipping path clear. The test targeted physical effort, cognitive effort, and form fatigue.
Test 4 of 5
We improved the shipping information form and login section so returning and guest users had fewer decision points in a high-intent moment. The test was built from checkout funnel analysis and the same cognitive-ease mechanism as KRO-05.
Test 5 of 5
We also explored cart-progress mechanics inspired by goal-gradient behavior. This idea was useful because it showed where visual motivation could help and where mobile clutter could create the opposite effect.
In the first six months, KoRo added €2,555,643.72 in additional revenue, increased session conversion rate by 10%, and lifted total revenue by 7% without increasing ad spend.
The first three validated tests alone generated more than €300,000 in additional runtime revenue. DRIP's research now contains 18 KoRo experiment records, including winners across PDP copy, PLP layout, and checkout friction.
The larger result was operational. KoRo went from no structured A/B testing to a working experimentation system: research inputs, hypothesis writing, design and QA, statistical readouts, and a prioritization process that improved after every test.
KoRo shows why large ecommerce brands can still have enormous CRO upside even after years of growth. Revenue scale does not prove the funnel is optimized; it only makes every hidden friction point more expensive.
The winning ideas were not random UI tweaks. They answered the customer's real buying questions: Is the large pack safe to buy? Will it taste good? Will it arrive intact? Can I find the right product quickly? Is checkout asking me for anything unnecessary?
For complex DTC brands, the advantage comes from building a smarter testing system, not from guessing the next redesign. Research improves idea quality, parallel testing increases learning speed, and prioritization compounds the results.
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.
