A/B Testing Experts in Germany
for better digital experiences, matched in minutes with vetted freelancersHire experts who design reliable experiments, analyze conversion funnels and work with tools such as Optimizely, VWO and Google Analytics. FRATCH matches you quickly and precisely with vetted, available freelancers for focused A/B Testing projects.
Meet FRATCH Experts in Germany, who have recently used A/B Testing
William N.
Last position:
Power BI Solutions Architect/Engineer & AI Consultant at AVERDUNG GmbH
- Redesign of the company's BI infrastructure: replacement of a fragmented landscape of manually maintained Excel solutions and CSV imports with a centralized Power BI environment featuring a unified data model as the company-wide single source of truth
- Consolidation of previously isolated reporting logic into a central semantic model – eliminating redundant files, manual data transfers, and inconsistent metrics between departments
- Forecasting & planning: Design and implementation of company-wide liquidity planning in Power BI – from business logic to a fully automated, data-source-driven planning model replacing the previous manual Excel process; enables rolling forecasts and continuously up-to-date cash flow transparency for management
- Optimization of existing Power BI dashboards in terms of performance, structure, and analytical value using an AI-native approach
- Analysis and improvement of the data model, including data quality analyses, data cleansing, and consistent modeling using star schema, DAX, and Power Query
- Incident & anomaly analysis: Identification, investigation, and explanation of data anomalies, including root-cause analysis and concrete recommendations for action
- AI solution architecture: Connecting Business Central and Power BI to LangDock via MCP (Model Context Protocol) for AI-supported data usage
- Creation of a historical data layer as a basis for trend and time-series analyses
- AI-supported automation: Design and development of AI skills, agents, loops, and processes for the automated analysis and interpretation of reports
- Automated reporting workflow: Setup of scheduled, automated email distribution of AI-generated analyses and recommendations to stakeholders
- Gathering and documentation of business requirements and coordination with business departments and IT as part of requirements engineering / product owner activities
- Breaking down overall requirements into clearly defined work packages and tasks
- Definition, prioritization, and management of milestones throughout the entire project lifecycle
Tools: POWER BI, M365, Copilot Studio, MIRO, Microsoft Business Central, Microsoft Fabric, Claude AI, ChatGPT, LangDock, MS VS Code
Onur K.
Last position:
Project Manager & Outsourcing Manager at SENEC GmbH (EnBW Group)
- Built a scalable nearshore IT developer hub (Croatia, Czech Republic, Poland) as an independent company through a BOT model (Build – Operate – Transfer)
- Identified, selected, and managed full-service agencies; introduced management and control mechanisms, including KPIs, SLAs, and regular service reviews
- Prepared and reviewed data processing agreements and framework contracts in coordination with Legal & Compliance; integrated regulatory requirements (including KRITIS) into process design
- Advised on cloud vs. on-premise strategies, data storage, and authorization concepts; supported Procurement with tendering and service provider evaluations
- Managed change and process harmonization between internal teams and nearshore partners; reported to executive management, CFO, and CIO
Result: Scalable IT developer hub with an audit-ready governance model, reduced operating costs, and accelerated product development.
Artur S.
Last position:
Senior Marketing & Transformation Consultant at Stadtwerke Lübeck
- Marketing consulting for the EDL@Home and Commodity (electricity & gas) business areas
- Development of data-driven marketing and sales strategies
- Definition and expansion of key channels (Web, App, Portal, Social, Paid, Sales Partners)
- Target, annual and budget planning for the EDL@Home business area
- Definition of business requirements for marketing platforms
- KPI-based performance management
- Development of dashboards to measure success
- Performance reviews with management
- Management of external service providers
- Stakeholder management between Marketing, Sales, IT, Customer Service and Management
Chintan P.
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 calculations with 150.000+ validated data records
Intelligent API workflows for real-time carbon footprint calculations in ERP and ESG systems
ML algorithms for predicting emissions hotspots and optimizing product design
Automated data validation pipelines with NLP for quality assurance of CO₂e datasets
Led a 15-person cross-functional team in developing 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% increase in team velocity)
Product-market fit for AI features through A/B testing and analytics (60% higher adoption rate)
Dmitry P.
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.
Thomas D.
Last position:
Business Analyst / Digital Transformation Consultant at Stadtwerke Rostock
- End-to-end analysis and optimization of existing processes in campaign management, contract management and district heating construction/construction coordination
- Development of automated contract management and transformation scenarios, including software selection and integration
- Analysis of ERP, chat, RCS messaging, consent management and tracking
- Preparation of recommendations, decision proposals and presentations for the executive board
- Use of AI for process optimization
- Tools: Apple Office, Microsoft 365, Teams, Claude, ChatGPT
Mirza K.
Last position:
Agentic Automation and a RAG system
- This project involved extraction of intelligence data to support report writing for a company that provides geopolitical, global, commercial intelligence. The data have been gathered from a number of resources (interview transcripts, online data, internal documents), and then a knowledge base has been build from it. This was the basis of a complex RAG system, that was evaluated against a golden dataset. Agents have been used to find out the contradicting intelligence, the statements supporting each other, and to store back the generated knowledge.
Used: Python, RAG, LangGraph, LangChain, deepeval, MCP
Marc H.
Last position:
Own AI Product Project & AI Training at Self-employed
- Built and validated SupportPiloten, an AI-powered content operations service; won the first paying pilot customer
- Tested agentic workflows with Claude Code and Codex for analysis, research, documentation, and prototyping
- Continued developing my own AI product; training in AI governance, AI compliance, and the EU AI Act (ongoing)
Dennis O.
Last position:
Co-Founder & CEO at Connect AI
AI Agent SaaS
Founded and built an AI agent SaaS for automated customer support and lead qualification, including implementation with pilot customers.
- Service → product transformation: productization from the agency into an independent AI agent SaaS. The starting point was a specific customer problem; the product was developed together with the customer.
- Developed and launched AI agents for website inbound, lead qualification, and customer service, reaching €8K MRR.
- Structured and led a remote team across engineering, LLM ops, and customer enablement.
- Case PTC Auto (e-commerce on Shopify): connected an AI support agent to the store, automated product data & support workflows, reducing workload by ~10–15 hours per week per support employee.
- Set up GDPR-compliant data processing for the AI agents: data processing agreements, deletion policies, and customer data storage locations.
- Assessed agents against the EU AI Act (risk class, transparency requirements) and built them accordingly.
- Addressed customers’ compliance and security requirements (questionnaires, evidence, contracts) to make sales possible in the first place.
- Built technical safeguards into the product to prevent agent misbehavior: hallucinations, escalation to humans, and logging.
Abdulla A.
Last position:
Principal AI Product Consultant at Recare
- Shipped Recare Voice Desktop from 0 to 1 in two months, including multi-language clinical documentation that auto-transcribes into structured German medical notes.
- Reduced LLM inference costs by 60–70% across Docs and Extract through prompt caching architecture.
- Built the AI workbench used by PMs/engineers for prompt experimentation and the Langfuse eval stack (10k+ traces evaluated).
Thomas K.
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.
Anish G.
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 N.
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 M.
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
Kai E.
Last position:
CONSULTANT & INTERIM MANAGER at EHLERS Advisory
Independent Consultant
- Advisory focus: E-Commerce, Digitalization, Automation, Pricing, Assortment & Merchandising, Platform Strategy
- Industries: Retail & Consumer Goods
- Subject Matter Expert for leading management consultancies
- Ongoing executi...
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
2.2 years
Positions per freelancer
9
Top business areas
Product Development, Information Technology, Marketing
Top industries
Information Technology, Retail, Professional Services
Certification focus areas
Information Technology, Product Development, Marketing
Bachelor's degree or higher
93%
Master's degree or higher
61%
Doctorate
5%
Certifications per freelancer
2
Most common languages
English, German, Spanish
Speak two or more languages
98%
Based on our profile pool as of 19 Sep 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.
Discover detailed A/B Testing rate benchmarks:
Explore rate insightsAverage 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
A/B Testing experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (82%)
- Retail (55%)
- Professional Services (42%)
- Media and Entertainment (37%)
- Banking and Finance (36%)
- Advertising (35%)
- Education (32%)
- Automotive (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What A/B Testing does
A/B Testing compares controlled versions of a webpage, product flow, email or feature to learn which option performs better against a defined goal. Teams use evidence from real user behavior instead of relying only on opinions. The method supports decisions about conversion, engagement, retention and revenue-related journeys.
Experiment design
A sound experiment starts with a clear hypothesis, a measurable primary metric and a defined audience. Specialists plan traffic allocation, eligibility rules, test duration and safeguards before launch. They also account for sample quality, seasonality, novelty effects and interactions between concurrent changes.
Tools and ecosystem
A/B Testing specialists often work across experimentation, analytics and product tooling. Their practical ecosystem may include Optimizely, VWO, AB Tasty, Google Analytics, Adobe Analytics, Segment, feature-flag systems and customer data platforms. They connect tracking plans, event schemas, consent settings and reporting so results remain usable.
Where companies use it
- Landing pages, signup forms and checkout journeys
- Navigation, search, pricing presentation and calls to action
- Product onboarding, notifications and feature releases
- Email subject lines, content and campaign landing pages
- Personalization rules and audience-specific experiences
Retail, media, subscription businesses, financial services and software companies use experimentation to improve digital journeys. In Germany, specialists may support distributed teams or collaborate on site with marketing, product, data and compliance stakeholders.
When freelance expertise helps
Companies bring in freelance specialists when an experimentation program needs a clear operating model, stronger instrumentation or an independent review of results. They can audit an existing backlog, establish governance, migrate between testing tools or launch a focused program without adding permanent capacity. This is especially useful during redesigns, product launches and analytics changes.
What strong specialists deliver
Strong professionals distinguish statistical evidence from random fluctuation and avoid declaring winners from weak or incomplete data. They document hypotheses, segments, exclusions, decision rules and learnings in language that product and commercial teams can act on. They understand accessibility, performance, privacy and implementation quality, and can explain when a result is inconclusive or when qualitative research is needed next.
Frequently asked questions
Everything clients usually want to know about A/B Testing, in one place.
A/B Testing is used to compare two versions of a digital experience against a defined business or user goal. Companies apply it to landing pages, checkout flows, onboarding, product features, emails and other journeys where behavior can be measured.
A/B Testing usually compares a focused change between controlled variants, which makes the result easier to interpret. Multivariate testing evaluates combinations of changes and can reveal interactions, but it demands more traffic, stronger planning and more complex analysis.
A strong A/B Testing specialist may work with Optimizely, VWO, AB Tasty, Google Analytics, Adobe Analytics, feature flags and customer data tools. The important skill is not tool familiarity alone, but the ability to connect implementation, tracking, analysis and decision-making.
Professionals working with A/B Testing often bring skills in conversion optimization, product analytics, event tracking, SQL, experimentation statistics and user research. Front-end implementation, consent management and clear stakeholder communication are also valuable.
The right level of experience depends on the scope, traffic quality, number of teams and risk of the changes being tested. A focused experiment may need a specialist who can design and analyze the work, while a broader program requires expertise in governance, tooling, instrumentation and organizational adoption.
Yes, A/B Testing work is often well suited to remote collaboration because hypotheses, tracking plans, dashboards and decisions can be documented digitally. On-site workshops can still help with discovery, product alignment and stakeholder training, while German or English language expectations should be agreed before the project starts.
Ask how the specialist defines the hypothesis, primary metric, audience, exclusions and stopping rules before launch. Good A/B Testing work also shows careful instrumentation, transparent uncertainty, checks for implementation errors and documented learnings rather than only a claimed winning variant.
Split testing is useful when comparable audiences can receive controlled experiences and the outcome can be measured reliably. It is less suitable when traffic is limited, changes affect safety or compliance, or the question requires discovery; interviews, usability studies or qualitative analysis may then provide better evidence.
The average hourly rate of freelancers in Germany who have used A/B Testing in their recent projects is 86 €, which corresponds to a daily rate of about 686 € 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, 61% 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 2.2 years.
The most common languages among freelancers in Germany who have used A/B Testing in their recent projects are English (99%), German (96%), 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 (55%), and Professional Services (42%).
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 (73%), 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
