A/B Testing Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used A/B Testing
Dmitry Pankov
Last position:
Freelance Digital Marketing Analyst at Freelance
- Marketing Strategy: Lead the end-to-end analysis and evaluation of cross-channel marketing campaigns across the entire Customer Journey. My focus is identifying optimization potential and deriving clear, actionable recommendations that drive measurable business impact.
- Data Science & AI: Advanced predictive modeling (Churn, LTV), market basket analysis, clustering, and real-time AI-powered audience discovery utilizing RAG/LLMs.
- Marketing Analytics & Measurement: End-to-end attribution analysis, Marketing Mix Modeling (MMM), audience segmentation, conversion path analysis, and A/B testing across all major platforms.
- Data Engineering & Reporting: Designing and managing robust, multi-platform data pipelines (BigQuery, GCP) for data consolidation, automated dashboard generation, and critical API integrations.
Chintan Padaliya
Last position:
Product Owner and Technical Product Lead at Sustamize GmbH
LLM-based features for automated CO₂e data extraction from unstructured documents (70% reduction)
Agentic AI pipeline for automated Scope 3 emissions calculation with 150,000+ validated data records
Smart API workflows for real-time carbon footprint calculations in ERP and ESG systems
ML algorithms to predict emission hotspots and optimize product design
Automated data validation pipelines with NLP for quality assurance of CO₂e datasets
Led a 15-person cross-functional team to develop 10+ AI features
Strategic product planning and AI roadmap with 35% shorter time to market
Stakeholder management with DAX companies (40% higher satisfaction, 95% retention)
On-time project delivery with 95% budget adherence through data-driven backlog management
Agile methods (Scrum, Kanban) with continuous AI/ML integration (25% team velocity increase)
Product-market fit for AI features through A/B testing and analytics (60% higher adoption rate)
Artur Schmalz
Last position:
Marketing Consultant // Strategy & Campaigning at Stadtwerke Lübeck
- Marketing consulting for the business units EDL@Home and Commodity (electricity & gas)
- Development and implementation of the marketing/sales strategy in close coordination with the department head
- Definition and expansion of key channels (web, app, portal, social, paid, sales partners)
- Goal, annual, and budget planning for the EDL@Home business unit
- Leading and running team workshops to define goals & develop campaigns
- Campaign/content planning for different target groups
- Concept and implementation of the regional multi-channel sales campaign incl. A/B testing
- Optimization of the customer experience across all channels
- Technical support/advice for the product teams during iterative implementation
- Building and managing a campaign dashboard to measure success
- Managing external agencies and internal teams
- Regular results presentations and reporting to department leadership
- Active stakeholder management
Anish Gupta
Last position:
GTM Intelligence Engine · Open Source
- PROBLEM: GTM effort is guesswork across fragmented identities and channels, with no closed feedback loop.
- BUILT: Cost-pyramid engine (L0–L3): identity resolution across ~25k entities, explainable intent scoring, and a closed decision loop (propose → execute → evaluate → learn) with calibration.
- IMPACT: Shipped v1.3.1 with a live demo; 99% of operations resolve at the free L0 tier (CI-enforced); $0 to run without any API key.
Lukas Noska
Last position:
Senior Product Designer (Process & Workflows) at Streckenheld
- Designed role-based delivery assignment workflows, switchable between own fleet and partner carriers, with traceable status chains from „pending“ to „in delivery.“
- Designed AI-assisted route optimization, where dispatchers review drive-time-optimized route suggestions as drafts and apply them in one click.
- Designed a central planning interface for delivery and route management, bringing table view, map view, and route composition into a single workflow.
- Built interactive prototypes to align new product features early with stakeholders and engineering.
Key methods: AI-assisted Product Design, Workflow Design, Role-Based Workflows, Dashboard Design, Interaction Design, Prototyping, Logistics/Operations UX, Stakeholder Collaboration
Dave Mooney
Last position:
Founder & Lead Designer at Dave Mooney Software
- Leading end-to-end UX for two AI SaaS products in closed beta, including LLM-interaction design, prompt-UX, and human-in-the-loop patterns with commercial distribution signed for launch in Q3 2026
- Built a self-built LLM reframing and RAG-correction pipeline powering multi-profile CV and case-study generation in production use
- Shipping real code alongside research, including Three.js/GLSL portfolio work, Figma-API tooling, and a Chrome MV3 extension for session-sync automation
Thomas Kostrewa
Last position:
Agile Coach / Release Train Engineer (SAFe) – Product & Cross-functional Delivery Focus at Autonomous Driving / Connectivity (OEM, confidential)
- Orchestrate cross-functional delivery across organisational units in the Connectivity domain, aligning teams around integrated end-to-end, customer-testable value rather than isolated component delivery.
- Drive a shift from local component optimisation towards shared outcomes and a common delivery goal, increasing focus and enabling significantly faster integrated delivery.
- Coordinate across 15 cross-functional organisations in a highly complex OEM environment; bring Product, Engineering, Programme Management and specialist functions together to resolve dependencies and improve decision-making.
- Coach Product Managers, Product Owners and stakeholders on product responsibility, prioritisation, outcome orientation and aligned backlogs.
- Use Claude through an AWS Bedrock integration to analyse Jira and Confluence content, identify patterns, dependencies and quality gaps, and support structured product and delivery decisions.
- Establish AI-native requirements excellence with LLM-supported quality gates for epics, features, stories, acceptance criteria, roadmaps and task breakdowns; scale adoption through templates and prompt playbooks.
Rashi Jain
Last position:
Design Consultant at Valutics Inc.
- Designing UX for a B2B AI SaaS platform covering the full software development lifecycle, including an orchestration transparency panel showing users which AI model is active at each stage, reducing AI opacity and building user trust in multi-model workflows.
Janis Antwerpen
Last position:
Performance Marketing & E-Mail Automation Expert at INeKO Institute at the University of Cologne
- Planning, optimization, and analysis of SEA and Meta campaigns
- Planning and execution of automations and mailings
- Optimization of landing pages (funnel, structure, copy, image)
- Creation of creatives, media plans, and reports
- Planning and support for the move to server-side tracking
Stefan Fröhlich
Last position:
Managing Partner & Co-Founder at IMPLENEX
- Founded, built, and scaled a management consultancy for go-to-market, growth, and digital transformation
- End-to-end brand building: CI/CD, website, and social media presence as a consistent digital footprint
- Built a B2B marketing & sales funnel incl. CRM for structured lead generation
- Developed and built a service portfolio & verticals: including an AI Board for strategic GenAI classification as well as a go-to-market/growth vertical for the food industry
- Built a partner network for co-delivery
- Acquired, onboarded, and delivered consulting engagements
Chisom N.
Last position:
Founder & Analytics Engineer at Museni Nexus
- Client — Podimo ApS (podcast & audiobook streaming): build the finance reporting layer on BigQuery + dbt + Airflow, including the core revenue-transaction fact tables used across finance reporting.
- API automation: design and build a BigQuery → Airflow → Microsoft Dynamics 365 Business Central REST-API pipeline to automate sales-invoice posting, with idempotency and master-data sync between systems.
- Delivery: sole engineer on the engagement — requirements, modelling, orchestration and stakeholder communication with the client finance team, end to end.
Marc Hammerschmidt
Last position:
Own AI product project & AI training at Self-employed
- Built and validated SupportPiloten, an AI-powered content operations service; won first paying pilot customers
- Tested agentic workflows with Claude Code and Codex for analysis, research, documentation, and prototyping
- Further developed own AI product; training: AI governance, AI compliance, and the EU AI Act (ongoing)
Philipp Grunert
Last position:
Data Scientist & ML Engineer at Data-Science Factory GmbH
- Building, implementing and selling automated Data Science solutions such as Scorecard Factory and Forecast Factory
- Implementation of automated end-to-end cloud processes
- Development of LLM and NLP models
- Creation of interactive reports
- Support for national and international large corporations as well as medium-sized companies in implementing ML projects
Ha-Jo Konrad
Last position:
Freelance Product & Platform Lead → Corporate Performance Management at 50Hertz Transmission GmbH (Elia Group)
Leading a team of four application product owners and driving the transformation of fragmented planning and control systems into an integrated multi-technology Corporate Performance Management platform.
- Acting as the Platform Lead within the OneSAP+ organization, owning strategy, roadmap and delivery of a cross-application CPM platform ecosystem
- Restructured and enabled the product organization, establishing a team of four application product owners and a scalable delivery model with external partners
- Aligned independently developed tools into a unified platform, shifting from fragmented solutions to an integrated, use-case driven product experience
- Delivered a Strategic Capacity Planning application (FPM-S) from concept to launch within five months
- Introduced a new technology stack (AAP) and enabled the development of new applications (e.g. Risk App 2.0)
- Defined the CPM Connect 2030 strategy, establishing a clear target architecture for integrated infrastructure planning
- Designed and implemented a central data product (SAP Datasphere) as a single source of truth, reducing manual processes and enabling near real-time data availability
- Translated complex business requirements into structured, scalable product logic across multiple applications
Anna Spirit-Palacios
Last position:
Senior Marketing Project Lead at FOR LONG LIFE Inc.
project-based mandate
- Responsibility for marketing, growth, and market expansion strategies for several supplement brands
- Planning and execution of marketing, content, and promotional measures to increase visibility, reach, and revenue
- Building, scaling, and optimizing international sales channels via Shopify, Walmart, eBay, TikTok Shop, Kaufland, Rakuten, EMAG, etc.
- Coordination of product launches, rebranding initiatives, and optimization of brand positioning
- Creation and alignment of product, content, and campaign briefs for different target groups, markets, and platforms
- Managing collaboration with external partners, fulfillment, logistics, marketplace, and distribution partners
- Coordination of product information, claims, platform requirements, and approval processes for international markets
- Analysis of digital performance metrics to identify growth and optimization potential
Discover over 15,000 top freelancers
Statistics of experts using A/B Testing
Aggregated from the professional profiles of matched freelancers.
Experience
14 years
Position duration
2.1 years
Positions per freelancer
8
Top business areas
Product Development, Information Technology, Marketing
Top industries
Information Technology, Retail, Professional Services
Certification focus areas
Product Development, Information Technology, Marketing
Bachelor's degree or higher
93%
Master's degree or higher
62%
Doctorate
5%
Certifications per freelancer
2
Most common languages
English, German, Spanish
Speak two or more languages
99%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Germany using A/B Testing
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it covers
A/B testing, also called split testing, compares two or more versions of a page, feature, message, or flow. The goal is simple: learn which variant drives better user behavior before you roll it out broadly. Strong specialists turn guesses into measured decisions.
Typical work
- Landing page and checkout experiments
- Product feature and UX tests
- Email, ad, and copy tests
- Pricing, onboarding, and funnel experiments
These experts plan variants, define success metrics, and make sure test results are clean enough to trust.
Tooling and stack
A/B testing work often touches analytics, tag managers, feature flags, and experimentation tools such as Optimizely, VWO, Adobe Target, and Google Optimize alternatives. Good specialists also understand event tracking, segmentation, QA, and basic statistics so tests are stable and readable.
When to bring in help
Companies usually bring in freelance expertise when a test program is new, current results are messy, or teams need faster learning without adding long-term headcount. In Germany, this often comes up in e-commerce, SaaS, and media teams that want a more structured way to validate changes.
What strong specialists do
Strong A/B testing professionals do more than launch a variant. They question sample pollution, bot traffic, broken tracking, and weak hypotheses.
- They frame testable questions.
- They choose the right metric hierarchy.
- They spot false wins and edge cases.
- They keep experiments readable for product and marketing teams.
Good collaboration
A freelance specialist should work well with product, design, analytics, and engineering. Remote collaboration is common, but on-site sessions can help when a team needs to align on instrumentation or experiment design. Clear access to data, code, and decision makers matters more than location.
Frequently asked questions
Everything clients usually want to know about A/B Testing, in one place.
A/B testing is used to compare two or more versions of a page, flow, or message and see which one performs better. Companies use it for conversion paths, onboarding, checkout, pricing pages, emails, and in-product changes. The point is to base decisions on measured user behavior, not opinion.
Yes, split testing is a common term for A/B testing, especially in marketing and growth work. In practice, people often mean the same thing: controlled comparison of variants. In product teams, the phrase A/B testing is usually the more common one.
Bring in an A/B testing specialist when your team needs better experiment design, cleaner tracking, or help reading results. It is also useful when internal teams have ideas but lack time to set up a proper test program. External support helps most when the work crosses product, analytics, and marketing.
A strong A/B testing freelancer should understand analytics, event tracking, basic statistics, and how products are built. Familiarity with feature flags, tag managers, and experimentation tools is useful too. They should also be able to write clear hypotheses and explain trade-offs to non-technical stakeholders.
A A/B testing project can be simple or complex, but it always needs someone who understands experiment design and measurement. Small copy tests need less setup than feature launches or pricing experiments. If tracking is unclear or traffic is split across devices and channels, the project needs deeper expertise.
A A/B testing setup often includes an experimentation tool, analytics software, tag management, and feature flags. Teams may use Optimizely, VWO, Adobe Target, or similar systems, plus event tracking in their product analytics stack. Good specialists care less about the brand name than about data quality and clean implementation.
Yes, A/B testing work is often done remotely because the specialist mainly needs access to tools, data, and product context. For teams in Germany, English is often enough for the technical side, while some workshops or stakeholder reviews may happen in German. On-site time is useful when experiment governance or tracking setup needs close alignment.
A good A/B testing specialist asks about goals, traffic patterns, tracking, and decision rules before suggesting a test. They should explain why a result is valid or not, not just report a winner. Look for clear thinking about hypotheses, metrics, bias, and how the test affects product decisions.
The average hourly rate of freelancers in Germany who have used A/B Testing in their recent projects is 87 €, which corresponds to a daily rate of about 692 € based on an 8-hour working day.
Of the freelancers in Germany who have used A/B Testing in their recent projects, 93% hold at least a Bachelor's degree, 62% hold at least a Master's degree, and 5% hold a doctorate.
On average, freelancers in Germany who have used A/B Testing in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Germany who have used A/B Testing in their recent projects are English (99%), German (97%), and Spanish (18%).
The most common industries among freelancers in Germany who have used A/B Testing in their recent projects are Information Technology (82%), Retail (54%), and Professional Services (41%).
The most common business areas among freelancers in Germany who have used A/B Testing in their recent projects are Product Development (79%), Information Technology (71%), and Marketing (71%).
Main locations of FRATCH Experts, who have recently used A/B Testing
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Hamburg 
Munich 
Cologne 
Frankfurt 
Dusseldorf 
Essen Request a free demo
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Philipp Thomaschewski
FRATCH CEO
