A/B Testing Expert in Berlin
to improve digital experiences with vetted, available freelancers matched by AIHire experts who design controlled experiments, configure tools such as Optimizely and Google Optimize alternatives, and turn product analytics into clear decisions. Get fast, precise matches with vetted, available freelancers for remote or on-site work in Berlin.
Meet FRATCH Experts in Berlin, 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 using a unified data model as the company-wide single source of truth
- Consolidation of previously isolated reporting logic in a central semantic model – elimination of redundant files, manual data transfers and inconsistent metrics across 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; enabling 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 specific recommendations for action
- AI Solution Architecture: Connecting Business Central and Power BI to LangDock via MCP (Model Context Protocol) for AI-supported data usage
- Development 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 delivery 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
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.
Michael B.
Last position:
Product Analytics Consultant - Trust & Safety at Kleinanzeigen
- Detecting fraud patterns and implementing effective anti-fraud rules while maintaining acceptable false positive rates to ensure a balance between safety and a frictionless user experience
- Supporting ideation and roll-out of new trust and safety features to the platform to block fraudulent activity and increase user awareness for fraud
- Supporting Product, Development and Customer Support with BI reports and further guidance to identify and fight fraud and policy violations
Bidya B.
Last position:
Product Manager – Payments & Platform at Pipedrive
CRM and revenue platform managing billing and subscription workflows.
- Scaled payments infrastructure across data products, direct debit expansion and automated abuse prevention, generating $416K in annualized operational savings ($8K/week) by eliminating redundant gateway calls.
- Owned backlog and sprint execution for autonomous checkout abuse detection pipelines, designing real-time risk guardrails and velocity heuristics that blocked card testing attacks.
- Architected enterprise billing migrator user stories and data reconciliation mechanisms, achieving zero-downtime subscription state transitions and cutting $60K in infrastructure overhead.
- Expanded European direct debit (SEPA) payment capabilities, managing cross-squad API dependencies and automated webhook error-handling to eliminate checkout friction.
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).
Özlem A.
Last position:
Adjunct Lecturer at Whitecliffe University of Applied Sciences
- Teaching Introduction to Data Science Course in MBA Programme
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.
Jens S.
Last position:
Marketing Consultant – [New Customer Acquisition (B2B), Social Media, SEO] at Manufacturer of precision metal parts [confidential]
Strategic Marketing / New Customer Acquisition (B2B):
- Market and competitor analysis: Recorded competitors, developed evaluation matrices, outlined the provider landscape with potential customers, competitors and partners
- Designed a cross-media, personalized multi-touch campaign
- Developed the multi-touch strategy in various multi-stage versions, determined touchpoints, target companies and target persons, developed ideal customer profile and contact ideas
- Designed all individual measures: Developed concepts for letters, postcards, landing pages, e-mails, phone calls and downloads
- Visualized the process logic of the contact sequences (flowchart)
- Described the distinction from “Account-Based Marketing”
- Implementation planning: Researched providers for packaging, shipping and landing page software, negotiated terms, recommended tools and partners
Social Media Marketing:
- Goal categorization, definition and recommendations for action
- Review and selection of channels
- Design of channel management
- Developed an 11-week editorial plan (Instagram & LinkedIn)
- Developed, implemented and published image and video posts
- Campaign launch, ongoing monitoring and optimization
Search Engine Optimization (SEO):
- Website audit with indexing check
- Ranking, backlink, traffic and competitor analyses
- Analyzed search and user behavior
- Consulting on SEO risks during relaunches with domain changes
- Keyword research and recommendations for action
Rashi J.
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.
Alicja R.
Last position:
Senior Product Owner BFSG & UX – Web and App Booking Journey at AIDA Cruises
- Lead Product Owner role for the BFSG pilot journey “Search and Book” across web and app, focusing on digital accessibility, UX, conversion, and regulatory implementation.
- Created and prioritized the product backlog; derived user stories and acceptance criteria from legal standards (BFSG, WCAG 2.1)
- Developed a product vision that combines digital accessibility, user-centered UX, and conversion optimization for the booking journey
- Cross-stream release management and quality assurance across the entire web and app area, including go/no-go decisions, rollout, and user acceptance tests
- Coordinated and prioritized with Legal, Compliance, external BFSG consultants, UX, Development, Marketing, and Management
- Conducted user research as well as usability and accessibility tests (including screen readers and keyboard navigation) and prototyping with UX/UI
- Defined KPIs to measure accessibility, conversion, and user guidance
- BFSG pilot journey “Search and Book” successfully delivered: first accessible features rolled out and the foundation for a long-term BFSG-compliant booking journey established
- Established sustainable process integration through close collaboration with consulting partners and internal teams
Ha-Jo K.
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
Dhana G.
Last position:
Product Owner / Product Manager at OEConnection India
- Owned end-to-end Product Management and Strategy for a B2B SaaS platform, from customer discovery and problem definition to roadmap, launch, and lifecycle optimization.
- Drove competitive analysis, customer insights, and sales analytics, identifying growth opportunities that improved product fill rates by 10–15%.
- Owned roadmap and backlog prioritization, balancing customer value, business impact, technical feasibility, dependencies, and strategic goals.
- Led a 12-member cross-functional Agile team across Product, Engineering, QA, Design, Sales, and business functions, ensuring aligned and high-quality delivery.
- Built KPI and product performance frameworks using Power BI, Excel, CRM, and Pendo to measure adoption, engagement, conversion, and business impact.
- Led API integrations and partner initiatives across US and Europe, expanding the partner ecosystem by 75% and enabling scalable B2B workflows.
- Led AI and automation initiatives that improved operational efficiency by 75–80% and reduced manual effort by approximately 15 minutes daily.
- Partnered with Sales, Customer Success, Marketing, Design, and Engineering to validate customer needs, launch products, improve UX, and drive adoption.
Felix H.
Last position:
Product Manager at ON Running
- Managed the roadmap and vision for D2C e-commerce iOS & Android apps
- Introduced an agile design process
- Managed the transition of dedicated teams into squads
- Introduced usage tracking and an A/B testing and optimization process
- Optimized cross-country ASO and integrated multi-million-dollar marketing campaigns
Kristina H.
Last position:
Editor, Translator and AI Trainer at Freelance
- Producing German website, email and social media copy
- Localising technical website copy from English to German (IT, Tech, consumer products)
- Evaluating AI-generated German texts for factual accuracy, tone, and cultural relevance
- Auditing and correcting synthetic German datasets, reducing grammatical and stylistic errors
Discover over 15,000 top freelancers
Statistics of experts using A/B Testing
Aggregated from the professional profiles of matched freelancers.
Experience
13 years (Germany: 14 years)
Position duration
2.1 years (Germany: 2.2 years)
Positions per freelancer
8
Top business areas
Product Development, Information Technology, Marketing
Top industries
Information Technology, Retail, Banking and Finance
Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
98% (Germany: 94%)
Master's degree or higher
67% (Germany: 62%)
Doctorate
6% (Germany: 5%)
Certifications per freelancer
2
Most common languages
English, German, Spanish
Speak two or more languages
96% (Germany: 98%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Berlin are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Berlin 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 29 Oct 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 (88%)
- Retail (48%)
- Banking and Finance (43%)
- Education (38%)
- Professional Services (38%)
- Media and Entertainment (33%)
- Healthcare (30%)
- Automotive (28%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What A/B Testing does
A/B Testing compares variants of a digital experience with separate user groups to learn which option performs better against a defined goal. Teams test landing pages, product flows, checkout steps, messages, pricing presentations and interface changes before rolling them out broadly. Reliable experiments isolate meaningful changes and use sound measurement rather than opinion.
Experiment design
Strong practice starts with a clear hypothesis, a primary metric and an audience definition. Professionals plan traffic allocation, eligibility rules, test duration and guardrails for side effects such as lower retention or slower conversion. They also distinguish A/B tests from multivariate experiments, holdouts and sequential testing so the method fits the decision.
Tools and data
The work connects experimentation platforms with analytics, customer data and delivery systems. Common environments include Optimizely, VWO, Adobe Target, LaunchDarkly, Amplitude, Mixpanel, Google Analytics and feature flag services. Specialists configure events, audiences, consent-aware tracking, statistical analysis and reporting, while coordinating with product, design, engineering and marketing teams.
Where companies use it
- Improve landing-page and campaign conversion paths
- Compare onboarding, search and checkout experiences
- Test pricing messages, content and product features
- Validate personalization and feature-flag rollouts
- Establish experiment reporting and decision workflows
E-commerce, SaaS, media, financial services and consumer brands use A/B Testing wherever digital behavior can be measured. Berlin companies often combine distributed collaboration with focused on-site workshops for discovery, instrumentation reviews and experiment readouts.
When to bring in expertise
Freelance support helps when a team has ideas but lacks a dependable testing process, when tracking is inconsistent, or when experiments produce inconclusive results. It is also useful during a platform migration, a redesign, a personalization program or a move from ad hoc tests to a shared experimentation roadmap. The right professional can audit existing results, prioritize opportunities and leave behind reusable documentation.
What strong professionals deliver
Look for evidence of careful hypothesis design, clean event instrumentation and transparent interpretation of uncertainty. Experienced specialists explain when a result is actionable, when a test is underpowered, and when external factors have affected the outcome. They connect findings to business decisions without overstating causality, communicate clearly in English and, where useful for Berlin teams, collaborate in German as well.
Frequently asked questions
The facts hiring teams ask for most often when it comes to A/B Testing.
A/B Testing is used to compare two or more versions of a page, feature, message or user journey under controlled conditions. Companies use the results to guide decisions about conversion, engagement, retention, revenue-related actions or product usability.
A/B Testing usually isolates a single change or coherent variant, which makes the result easier to interpret. Multivariate testing examines combinations of several changes and can reveal interactions, but it needs more traffic and a stronger measurement setup.
A strong A/B Testing freelancer should understand product analytics, event tracking, SQL or data analysis, experimentation statistics and conversion research. Useful adjacent skills include feature flags, tag management, UX research, marketing technology and clear stakeholder reporting.
The required experience depends on the data quality, risk and complexity of the decision rather than on the tool alone. A focused landing-page test may need a different level of support than experimentation across several products, markets or personalization rules.
A/B Testing works well in remote or hybrid teams when hypotheses, ownership, tracking definitions and decision dates are documented. Berlin companies can collaborate remotely with a freelancer and use on-site sessions for planning, instrumentation reviews or results workshops when language and team context make that useful.
Ask how the specialist defines a hypothesis, selects the primary metric, handles guardrails and decides whether a result is trustworthy. Request examples of experiment plans and readouts that show both successful findings and tests that were stopped or judged inconclusive.
Google Optimize is no longer the default option because Google discontinued the product. A current A/B Testing setup may use Optimizely, VWO, Adobe Target, a feature-flag system or an in-house workflow, depending on governance, integration needs and team capability.
A quality A/B Testing setup has reliable exposure data, consistent event definitions, a pre-agreed decision rule and monitoring for technical or business side effects. Professionals also check sample contamination, overlapping experiments, novelty effects and whether the conclusion supports the decision being made.
The average hourly rate of freelancers in Berlin, Germany who have used A/B Testing in their recent projects is 81 €, which corresponds to a daily rate of about 645 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used A/B Testing in their recent projects, 98% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers in Berlin, Germany who have used A/B Testing in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Berlin, Germany who have used A/B Testing in their recent projects are English (99%), German (94%), and Spanish (14%).
The most common industries among freelancers in Berlin, Germany who have used A/B Testing in their recent projects are Information Technology (88%), Retail (48%), and Banking and Finance (43%).
The most common business areas among freelancers in Berlin, Germany who have used A/B Testing in their recent projects are Product Development (83%), Information Technology (76%), and Marketing (60%).
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.
Hamburg 
Munich 
Cologne 
Frankfurt 
Dusseldorf 
Essen Request a free demo
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Philipp Thomaschewski
FRATCH CEO
