Conversion audit and experimentation
Tests become decisions.
We optimize online shops: with data you can trust and tests that show what really sells. What we do
from EUR 2,900 fixed price · 3 optimizations or no invoice
Tool-neutral · connects to your stack
Test & Elevate
What we do
Every shop we have reviewed so far had untapped potential. We find it, turn it into concrete optimizations and use A/B tests to check what demonstrably works. So you decide with real evidence instead of gut feeling.
Test & Elevate is your partner for digital analytics, A/B testing and conversion optimization. It starts with the data foundation. With server-side tracking we make visible what would otherwise be lost in the browser.
In our programs we run experimentation for you as a fixed part of your day-to-day business: research, prioritization, test concept, implementation, quality assurance, analysis and the rollout recommendation. We work with your existing systems. If a building block is missing, we provide a setup that lets you start right away.
What sets us apart: more than 18 years of experience in e-commerce, a sound methodology and implementation in-house. We develop the hypotheses for your tests ourselves, from this experience and with tools we have built for exactly this purpose over the past years. In the Elevation Audit, our conversion audit for online shops, we combine both: our own system measures your shop on mobile and desktop, and we review every finding and derive the actions from it. So our work does not end with an analysis, but with a robust decision and a program that measurably improves your shop, test by test.
Offer
Three ways, one goal.
You start where you are.
Elevation Audit
What is slowing your shop down?
- report in 5 business days, 90-minute presentation
- 3 optimizations or no invoice
- The price is credited against any larger project
Monitor
What has changed, on your side and at competitors?
- measurement monthly, quarterly or every six months
- on request with up to 10 competitors
- follow-on option after the Elevation Audit
Programs
How do findings turn into lasting impact?
- Guided, EUR 5,900: at least 3 test hypotheses, you implement
- Managed: always 6 tests in parallel, we run the cycle
- Impact Partner: 6 tests, plus the overall orchestration
Still unsure? The Readiness Check is free and takes 4 minutes. Want to try first? The 90-day Impact Pilot is the entry into the programs. An open position in the team instead of a program? That is what the Interim model is for.
Tool licenses and usage-based infrastructure costs not included.
Fewer than 3 optimizations, no invoice.
Each one backed by a source reference, a screenshot and an action. We invoice only after the presentation.
If you continue, we credit the price.
Against any larger project with us, if you place the order within 90 days after the presentation.
The market problem
Test ideas are not what is missing. What is missing is the decision system.
Traffic, transactions and customer data are there. Still, shop, checkout and journey decisions are made by opinion, by whoever is loudest or by project logic.
No mature experimentation function
Analytics and testing exist, but not as an operation with roles, rhythm and accountability.
Tracking no one trusts
Business, marketing and shop data are not cleanly connected. Every analysis starts with a debate.
Bottlenecks between test and rollout
Winners are rolled out late or not at all.
Insights end in presentations
Instead of in a reusable learning system that improves future decisions.
The cycle
From signal to scalable impact.
Data & Readiness
Goals, customer journey, data quality, test power and technical feasibility.
Readiness MapHypothesis
Research, analytics and customer knowledge are translated into causal assumptions.
Prioritized backlogExperiment
Variants, build, tracking, browser and device QA, controlled launch.
Approved testDecision
Data integrity, statistics, business impact, segments and guardrails.
Go · Iterate · StopRollout & Learning
Roll out winners, use neutral results, derive follow-up questions.
Learning LibraryEvidence
At the end there is not a report, but a decision.
At the end of every experiment there is not a report, but a Decision Memo: result, uncertainty, economic assessment, limitations, recommendation.
Evidence & artifactsData access
Visibility, not possession.
Many companies cannot hand out business-critical data. The intro call, Readiness Check and the first prioritization therefore run without any access.
For the work itself we need visibility into your numbers, not possession of them: with your accounts, in your systems, without exports and without copies. Four levels, you decide which one applies.
Enhanced Data
Better data for better decisions.
Browser restrictions, blockers and consent cost you a growing share of your signals. What is missing distorts every analysis and every bidding decision.
Collect server-side
Events are created where they are reliable. Consent stays in charge, but what is permitted no longer gets lost along the way.
Connect
Shop, marketing and business data are brought together into one view, with an event model that holds.
Send back
The recovered signals go back to your advertising platforms. The bidding logic learns on contribution margin instead of orders.
The core remains testing and the right decision. Enhanced Data sits underneath and can also be booked on its own. Enhanced Data in detail.
Positioning
Why this holds up in day-to-day operations.
Six pillars that together make the difference. None of them is a feature on its own.
Human plus AI
AI accelerates research, structuring, variant creation, QA and documentation. People set goals, judge evidence in the business context and own the decision.
18+ years of practice
Realistic prioritization and sure-footed navigation through organization, technology and stakeholders.
End-to-end accountability
Fewer losses in handovers between strategy, build, analytics and rollout. Clear RACI, fixed artifacts, defined operating rhythm.
Tool neutrality
Existing investments stay usable. No unnecessary migration, no exclusive reseller tie-in.
Decision orientation
Value comes from Go, Iterate or Stop, not from the number of tests. Criteria and value calculation are set in advance.
Learning System
Every test raises the quality of future decisions. Learning Library, follow-up hypotheses, reuse.
Boundaries
What we deliberately are not.
Honest method selection is part of the trust we promise. A/B testing only makes sense when traffic, conversions, data quality and implementation capacity are sufficient.
| No software company | and no exclusive reseller of a particular tool stack. |
| No tests at any cost | If your traffic is not enough for a robust test, we tell you and suggest another route. |
| No autonomous AI system | that replaces business accountability or statistical judgment. |
| No best practice catalog | Learnings from elsewhere produce hypotheses, but no customer truths. |
With lower test power we recommend funnel analyses, research, usability tests or sequential improvement programs.