About Metricum Lab

Metricum Lab is a technical partner in Technical SEO, Data Analysis, and Automation Engineering.

We help companies turn complex technical tasks into clear, practical solutions.

Technical SEOData AnalysisWeb PerformanceAutomation Engineering

Metricum Lab team

Hi, my name is Yura. I am the founder of Metricum Lab.

For more than 10 years I have worked at the intersection of web development, automation, Technical SEO, and data analysis. During that time I have been on both sides of the process: as an SEO specialist who defines technical tasks for a dev team, and as a developer who implements those tasks.

This experience helped me see one important thing: strong SEO starts not with isolated recommendations, but with quality data, proper technical diagnostics, and clear communication between teams.

I have worked with large eCommerce sites, marketplaces, SaaS products, and iGaming projects. In each of these niches, technical errors can directly affect indexation, speed, search visibility, and organic traffic. That is why at Metricum Lab we treat SEO as an engineering process: we analyze data, find root causes, propose practical solutions, and help implement them.

Metricum Lab is a team approach that combines different technical competencies: data work, Technical SEO, web development, automation, and analytics. This mix allows us to look at challenges more broadly — not only as SEO issues, but as systems where site architecture, data quality, technical constraints, business goals, and opportunities matter.

We regularly discuss projects inside the team, share observations, test hypotheses, and exchange experience across disciplines. What might go unnoticed from an SEO perspective can become obvious to a Data Engineer or developer. And conversely, a technically correct implementation can still create risks for search visibility or data quality.

We also believe in continuous growth and knowledge sharing within the team. New tools, data analysis approaches, changes in web technologies, and search systems regularly become topics for internal research and discussion. This helps us maintain high quality and make decisions based on current information rather than outdated practices.

We openly explain the logic behind decisions, share knowledge, and work as a technical partner so SEO, product, and dev teams speak the same language.

How we work

We start by studying how a specific product works: site architecture, data, user behavior, technical constraints, and business context. Our task is to understand the system, identify the factors that influence results, and prepare recommendations and solutions.

Study the context and data

We analyze available data sources, product structure, current processes, and technical specifics of the project. When needed, we help set up additional data collection or monitoring.

Build a holistic view

We combine data from different sources and look at it as a single system. This helps us understand connections between technical changes, user behavior, search visibility, and other metrics.

Analyze root causes

We investigate patterns, anomalies, and potential influencing factors. Depending on the task, we use technical analysis, automation, Data Science, or specialized models for working with data.

Form recommendations and solutions

The result of the work is concrete recommendations, priorities, and technical solutions. When needed, we can help with automation, monitoring, or implementing specific changes together with the client team.

Projects we work with

We have experience working with projects across different niches:

E-commerce and marketplaces
SaaS products
B2B platforms
iGaming projects
Content sites, media, and information portals

Custom tools, automation, and AI

We actively use our own programs, scripts, and internal tools to work with data more flexibly, test hypotheses faster, and run deeper technical analysis for specific project tasks.

These solutions help us automate routine checks, collect specific data, detect unusual patterns, monitor changes, and move faster from analysis to practical conclusions.

Custom scripts and tools

We build programs and pipelines tailored to specific project tasks.

Automated checks

We run recurring audits, monitoring, and technical alerts.

AI under expert supervision

We help the team find patterns faster, but conclusions are always verified by specialists.

Technologies we work with

We select tools to fit the task, not the other way around. In our work, we use a stack for data collection, automation, technical analysis, development, and visualization of results.

Development & Engineering

Python, JavaScript, TypeScript, Angular, PHP, C#, HTML, CSS.

Data Engineering & Analytics

Pandas, NumPy, BigQuery, MySQL, Power BI.

Search & Technical SEO

Google Search Console, Screaming Frog, JetOctopus, Sitebulb, Ahrefs, Semrush.

Automation

n8n, Selenium, Playwright, BeautifulSoup, Scrapy, Requests.

Web Performance & Monitoring

Lighthouse, PageSpeed Insights, WebPageTest, Chrome UX Report (CrUX).

Infrastructure & Delivery

Docker, Google Cloud, GitHub, GitLab.

Shall we discuss your project?

If your website needs a systematic technical audit, data analysis, automation, or support in implementing SEO solutions, reach out to us. After a consultation we will propose a practical next step.