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Services · The Conversion Optimization License

CRO behind €500M+ in revenue.

Customer research, parallel A/B testing, and data-driven prioritization for e-commerce brands doing €5M+ per year.

Book your free strategy call See the license
4,000+A/B tests run
250+brands optimized
52.6%test win rate
€500M+additional revenue
Research7 drivers mappedTesting6-10 live testsScoring25+ signalsRPUuplift
The operating system

Research to parallel testing to prioritization. Three loops, one accountable team.

The CRO Agency Behind 250+ of the World's Leading E-Commerce Brands

Whether high-growth startups or global leaders — we consistently drive measurable revenue increases.
Strauss
Koro
Sunday Natural
The Body Shop
Grover
Hello Fresh
Natural Elements
AG1
Bluebrixx
Woom
Hornbach
Tourlane
Congstar
Holy
Junglück
PV
Wunschgutschein
Motel A Mino
Brand logos slide 1
Brand logos slide 2
4,000+
A/B Tests Run
95%
Client Loyalty
52.6%
Test Win Rate
€500M+
Revenue Generated
02 · The diagnosis

You've tried everything. Revenue won't move.

You've redesigned the site. Twice. You've followed every best practice checklist you could find. You've copied what your fastest-growing competitors are doing. You've hired agencies who ran a few tests a quarter and called it optimization. And yet: your conversion rate is flat, your CACs keep climbing, and the gap between what you're spending on traffic and what you're earning from it keeps widening. The issue isn't effort. It's approach.

02
Symptom · 01

Testing on opinions

Hypotheses come from best-practice checklists and competitor copying, not customer evidence.

Symptom · 02

Slow test velocity

Sequential testing means maybe 12 experiments a year. Learning never compounds fast enough.

Symptom · 03

Generic audits

The same heuristic checklist gets applied to every brand, category, and customer state.

Symptom · 04

No learning memory

Every experiment starts from zero because wins and losses do not recalibrate the next decision.

Symptom · 05

CAC rises, RPU stalls

Traffic gets more expensive while revenue per visitor stays flat or moves backwards.

Symptom · 06

No accountable owner

Strategy, design, development, and analytics are split across teams. Nobody owns the revenue number.

The brands pulling ahead aren't working harder. They're working from a fundamentally different system.

See the system
03 · Psychology, not best practices

We optimize based on why your customers buy.

We don't optimize based on best practices. We optimize based on why your specific customers buy. Before touching a single test, we build a deep psychological profile of your audience. Using our proprietary Research Hub, we analyze thousands of data points — customer reviews, surveys, session recordings, heatmaps, competitor analysis — and map them against 7 Psychological Drivers. We also identify your Category Entry Points — the specific situations, feelings, and needs that cause strangers to seek out a product like yours. The more of these your funnel addresses, the more strangers you convert.

03
↗
01

Progress

“Am I moving toward my goal?”

?
02

Curiosity

“Is there something I need to understand?”

◇
03

Security

“Can I trust this brand?”

★
04

Status

“What does this say about me?”

⌥
05

Autonomy

“Am I in control of this decision?”

○
06

Comfort

“Is this easy and pleasant?”

∾
07

Belonging

“Do people like me buy this?”

This isn't theory.

When we identified that "Initial Quality Perception" was a top Category Entry Point for Giesswein, we made targeted changes to their product pages. Two tests alone generated +€232,500/month and +€52,470/month respectively.

04 · The Conversion Optimization License

One Integrated System, Not Separate Services

The DRIP Conversion Optimization License is a 7-month Proof of Concept that encompasses everything — CRO, A/B testing, funnel optimization, UX research, and consumer psychology analysis — as one integrated engagement.

04
01

Consumer psychology research

Reviews, surveys, recordings, heatmaps, and competitor data are mapped against seven drivers and your category entry points.

Research Hub7 driversCEP mapping
02

Parallel A/B testing

Six to ten experiments run simultaneously with clean randomization, full QA, and statistical guardrails.

Rapid protocolMobile + desktopSRM checks
03

Data-driven prioritization

Every idea is scored against revenue exposure, research support, implementation effort, and 4,000+ historical experiments.

Weighted scoring25+ data pointsSelf-learning
05 · 7-month engagement

From research to recurring winners. The first six months, mapped.

05
Phase 01M1

Research & Strategy Intensive

The foundation for the entire testing roadmap.

  • Deep customer research using our proprietary Research Hub
  • Funnel analysis across every key page
  • Heatmap analysis and 40+ hours of session recording review
  • Category Entry Point identification
  • 7 Psychological Drivers mapping
  • Revenue leak detection across the entire customer journey
Output

A 20+ page research report that becomes the foundation for your entire testing roadmap

Phase 02M2-7

Ongoing Optimization

Where research becomes recurring revenue.

  • 6-10 parallel A/B tests running simultaneously
  • Full design briefs with 3-5 design variations per test
  • Mobile and desktop from day one
  • Interactive clickable prototypes for approval before development
  • QA across real devices using BrowserStack
  • Bi-weekly strategy calls
  • Monthly performance reporting with full revenue attribution
06 · The Rapid Testing Protocol

Why parallel testing beats
sequential testing. The
math, not the marketing.

Most testing programs run sequentially — one test at a time, wait weeks, move on. We run 6-10 simultaneously, the same way Microsoft, Google, and Meta do internally. Randomization keeps each experiment statistically independent.

06
Most agencies · sequential

One test at a time.

Week 1 · · · · · 4 · · · · · 8 · · · · · 12
T1T2T3
One test per lane · 4 weeks each
~12Tests per year
3 moTime for 3 tests

Revenue capture is delayed by months. Untested combinations ship anyway because nobody validated them.

DRIPThe DRIP protocol · parallel

6-10 tests, all live.

Week 1 · · · · · 2 · · · · · 3 · · · · · 4
T01T02T03T04T05T06
All live · clean randomization
~36+Tests per year
1 moTime for 3 tests

Revenue capture is immediate. Microsoft research found meaningful test interactions in only ~0.002% of cases.

Now do the math

If 2 of 3 tests are winners generating €50K/month each...

Sequential-€200KLeft on table
vs.
Parallel+€200KCaptured immediately

Velocity is the revenue lever.

07 · 4,000+ experiments behind every decision

Every test idea passes through
Weighted Impact Scoring.
Loudest voice doesn't win.

25+ data points feed the score. As tests succeed or fail for your specific brand, the engine recalibrates. Typical agencies hold 30-40% win rate. After six months with a calibrated system, win rates typically reach 55-65%.

07
Scoring factors · live example

Revenue exposure

92 / 100

Where in the funnel does the test run? How close to revenue?

Scroll depth impact

78 / 100

How many visitors actually see the element on the page?

Research indicators

88 / 100

How strongly does customer data support the hypothesis?

Implementation cost

64 / 100

How complex is the test to brief, build, QA and ship?

Historical performance

95 / 100

How have similar tests performed across the 4,000+ experiment database?

Composite Score83.4
Cohort retention• Live
W8
W7
W6
W5
W4
W3
W2
W1
Weeks post-acquisition →
Win-rate distribution

After 6 months on a calibrated roadmap, win rates move from typical 30-40% to 55-65%.

The learning engine

Self-learning across every brand we work with.

Every shipped winner and every loser feeds a database of 4,000+ documented experiments. The next decision starts with that memory, not from zero.

08 · The numbers behind 250+ brands

Five engagements. The kind of revenue movement compounding actually produces.

08
SNOCKSFeatured case

€8.2M additional revenue over five years.

Started at €2M/year with low AOV and no testing infrastructure. 350+ A/B tests later, RPU went from €2.01 to €4.99 (+148%), AOV from €29 to €51, and SNOCKS scaled past €50M annually.

Working together since 2019 · later became an investor
+148%RPU lift
350+A/B tests
€2M → €50M+annual run-rate
€10.18↑ +0.0%REVENUE PER USER · LIVE · 60 DAYS
rpu · live
● live
linear redesignSIX MONTHS · 24 TESTS · COMPOUND VS LINEAR
compounding effect
● live

KoRo

First testing program built from scratch
€2.5M in 6 months

€250M+ annual revenue, zero A/B testing, rising CACs

Built their first structured experimentation program from scratch. Six months later, the testing engine had paid for itself many times over.

€2.5M6-month uplift
0 → 1testing program
Q1 2024engagement
Hero AHero BHero EHero CHero Dn=18,400 · p=0.03 · winner promoted
winner detection
● live

Kickz

Acquired by 11 Teamsports
3.6× conversion-rate growth

€30M+ annual revenue, 0.59% conversion rate, struggling to turn profit

77 experiments moved conversion rate from 0.59% to 2.7% in three years. Improved profitability contributed to the acquisition by 11 Teamsports.

0.59% → 2.7%CR
77experiments
3.6×growth
controlvariantP-VALUE0.500
significance
● live

Giesswein

Single PDP test → +€232,500/mo
€12.2M over 3 years

€100M+ annual revenue, post-COVID revenue drop

A single Value Perception badge test on PDPs generated +€232,500/month. The compounding portfolio kept expanding from there.

+€232,500/mo single test
3 yrsprogram
€12.2Mtotal
Visit100%Click42%Add18%Buy6%
conversion funnel
● live

Oceansapart

Out of insolvency to compounding revenue
+€323,923 / month

Acquired by SNOCKS out of insolvency. 1.48% CR, no usable data

18 winning tests in the first six months smashed the 10% RPU guarantee ahead of schedule.

18winning tests
<6 moto guarantee
1.48% → ↑CR
Read the full case studies
The DRIP guarantee

10% revenue per user uplift in 6 months. Guaranteed.

We guarantee a minimum 10% uplift in revenue per user within the first 6 months. If we don't hit it, we keep working for free until we do.

This isn't a marketing gimmick. 95% of brands that work with us stay working with us. The guarantee exists because the system works — and we have 4,000+ experiments proving it.

10%Minimum RPU upliftIf unmet, we keep working at no cost until it is.
Ready to build a system that compounds?

If you are doing €5M+ a year and revenue is flat, let's talk.

If you're running an e-commerce brand doing €5M+ a year and you know there's revenue being left on the table — let's talk about what a structured testing program could look like for your brand.

Book a Strategy Call
11 · Common questions

Common questions.

10 questions · 1 honest answer each

DRIP Agency's Conversion Optimization License is a fully integrated CRO engagement covering consumer psychology research using the proprietary Research Hub, GA4 funnel analysis, A/B test design and development, QA across real devices via BrowserStack, statistical analysis using Frequentist methodology, ongoing strategy, bi-weekly calls, and monthly performance reporting with full revenue attribution. You don't need separate vendors for research, testing, and analytics — everything is unified under one system built on insights from 4,000+ documented experiments across 250+ brands.

To replicate DRIP Agency's system internally, you'd need at minimum a fullstack developer, a UI/UX designer, a QA engineer, a data analyst, and a CRO manager — that's €20K–€33K/month in salaries alone, before tools, training, and the 12–18 months to become fully operational. With DRIP, you get immediate access to the Research Hub, the 4,000+ experiment database, the Weighted Impact Scoring prioritization engine, and a team of 50+ specialists from day one. Brands like SNOCKS and KoRo chose this path and saw measurable results within the first months.

DRIP Agency runs 6–10 A/B tests simultaneously using our Rapid Testing Protocol — the same parallel testing methodology used internally by Microsoft, Google, and Meta. Over a 6-month engagement, most clients see 30–50+ experiments completed. This is 3–5x the velocity of traditional sequential testing programs, which typically complete only 12 tests per year. Brands like Kickz went from 2 tests/month to 6–10 parallel tests and saw conversion rates increase from 0.59% to 2.7%.

DRIP Agency works with any e-commerce platform — Shopify, Shopify Plus, WooCommerce, Magento, and custom builds. Our testing tools, primarily ABlyft and Kameleoon, integrate at the code level rather than through visual editors. This eliminates page speed degradation, ensures consistent rendering across devices, and produces more reliable test results. Our 10-person QA team validates every test across real devices using BrowserStack before launch.

DRIP Agency's standard engagement is a 7-month Proof of Concept. Month 1 is the Research & Strategy Intensive — a deep-dive into customer psychology, funnel analysis, and Category Entry Point identification that produces the foundation for your testing roadmap. Months 2–7 focus on ongoing optimization with 6–10 parallel A/B tests running simultaneously. Contact us for pricing details. The engagement is designed for e-commerce brands doing €5M+ per year.

DRIP Agency uses factorial experimental design — the same methodology used in controlled scientific experiments for decades. Each test splits traffic independently using randomization. If three tests run on the same page, each splitting 50/50, every visitor is assigned to one of eight possible combinations (2×2×2), ensuring each test's control and treatment groups are balanced across all other test conditions. Microsoft's research across thousands of online experiments found meaningful test interactions in only 0.002% of cases — approximately 1 in 50,000 tests.

Month 1 of DRIP Agency's Conversion Optimization License is dedicated to the Research & Strategy Intensive, during which the first tests are already being designed. First A/B tests go live by the end of Month 1. Most clients see their first winning tests within the first 2–3 months. For example, Oceansapart generated +€323,923/month within their first 6 months across 18 winning tests, while KoRo saw €2.5M in additional revenue in the same timeframe.

95% of brands that complete DRIP Agency's 7-month Proof of Concept continue with an ongoing engagement. The system becomes more effective over time as the Weighted Impact Scoring prioritization engine calibrates to your specific audience, industry, and funnel. Win rates typically climb from 40–45% in early months to 55–65% as the engine accumulates brand-specific data. SNOCKS, for example, has worked with DRIP continuously since 2019, completing 450+ experiments.

Yes. DRIP Agency, founded in Traunstein, Bavaria in 2019, works with e-commerce brands worldwide. Our team of 50+ specialists operates in English and German. Our client portfolio spans across Europe, North America, and beyond, covering verticals including fashion, food & beverage, health & wellness, sports, and home goods. The methodology is audience-driven, not geography-driven — the 7 Psychological Drivers and Category Entry Point frameworks apply universally across markets.

DRIP Agency's average client generates 8–12x return on their CRO investment. Unlike paid advertising where revenue stops when spend stops, improvements from A/B testing are permanent — a winning test continues generating incremental revenue indefinitely without ongoing cost. For example, a single Giesswein product page test generated +€232,500/month in additional revenue. Across 250+ brands, DRIP has documented over €500M in cumulative additional revenue through its 4,000+ experiment database, with a 52.6% overall test win rate.

Built on

The methods inside the license.

The CRO Conversion License is the commercial wrapper. The engine underneath is three things: how we research what to test, how we know what's likely to work, and how we run six times as many tests without losing statistical rigour.

Predictive Consumer Research

Predict what your customer will do, before they do it.

Seven beliefs a visitor forms in the first six seconds. Hypotheses pre-scored against 4,000+ shipped experiments.

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Quantum

Every hypothesis queries the database first.

4,127 tagged experiments scored against seven psychological drivers. We walk in knowing the prior — not guessing it.

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Rapid A/B Testing

6× the experiments. Same statistical rigour.

Parallel testing done right — concurrent experiments on the same page, the math settled at Google and Microsoft since 2010.

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Iterative Prioritization

Score the right test to run next.

Every hypothesis runs through Fogg, Big Five, the 7 drivers, brand-fit and 4,000+ priors. The model tunes itself every sprint.

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