This year's Reshoper brought a stunning venue at the Industrial Palace, a new speaking experience on the Shoptet Silent Stage, and some great conversations in the consulting zone. Plus one GA4 consultation I won't forget anytime soon.
I've been to Reshoper several times before. But this year, the venue really surprised me, I got to try a new speaking format on the Shoptet Silent Stage, and once again had the chance to help visitors with data analytics. And there was plenty going on. 🙂
I've been to Reshoper several times, and the venue was never really something I paid much attention to. This year was different.
This year's Reshoper took place in the beautiful, newly renovated Art Nouveau Industrial Palace, restored after a fire. I'd been looking forward to seeing it and this was my first visit since the renovation.
The place is stunning, and for me, it gave the whole event a special vibe. Hats off to the organizers for choosing this venue. 🏆
The Silent Stage is a concept for talks held directly on the exhibition floor. In other words, the stage is right in the middle of a busy trade show.
Both the speaker and the audience wear headphones, with audio coming directly from the microphones of the host (shoutout to Jan Rogos) and the speaker.
I was a bit nervous about it, to be honest, but after trying it, I think it's actually a great concept for this kind of environment.
Talks held on a noisy exhibition floor have always been a pain, both for the audience and the speaker. This way, there's a direct connection between the two, without all the background noise getting in the way. And questions are handled through Eventee.
I have no idea where you get the equipment for something like this (especially when you need 50 fully charged wireless headphones to last all day :)), but it works.
And as long as people in the audience can see the screen, they can follow everything easily and get much more out of the talk.
Thanks to Veronika Nosalová for the new experience. 🙏
Once again, I had the opportunity to offer advice on data analytics topics.
It's always a mixed bag at the consulting table. Some colleagues and friends stop by for a chat, while others come looking for actual advice.
One of the highlights for me was a deeper discussion with Roman Appeltauer about technical solutions for AI-powered data analytics (btw, their Signals Bingo looks great), and another with Petr Bechyně about creativity.
The people who come for consultations are always a mix of different backgrounds and businesses.
But there's one visitor I definitely won't forget. A woman who came to ask about GA4 and who happened to be a nun.
Her convent runs an online bookstore specializing in religious books. She's responsible for the e-shop and marketing, while the other sisters (apparently the less tech-savvy ones) take care of copywriting and graphic design. :)
I have a lot of respect for people who follow their own path (as long as it's not just an escape from reality).
So I resisted the temptation to make jokes like "let's take a look at those devilish Google Analytics" and did my best to give her some useful advice. 😎
Meanwhile, she was recording the entire consultation with some AI tool that would turn the conversation into a transcript and a list of next steps.
True story...
This year's Reshoper brought a stunning venue at the Industrial Palace, a new speaking experience on the Shoptet Silent Stage, and some great conversations in the consulting zone. Plus one GA4 consultation I won't forget anytime soon.
Working with client data in Claude Code requires control over how it's processed. This article covers setting up Claude Code through Google Cloud, so that the data are processed in the EU, according to the DPA and without model training.
Google Ads is one of the easiest media sources to connect to BigQuery. This guide covers DTS setup, Standard vs. Custom reports, service accounts, MCC structures, PMax tables, and common limitations.
Setting up a Google Cloud project takes just a few minutes. But basic guides leave out some important details. Here’s what to watch out for with project ownership, the free trial, and billing roles to avoid unnecessary problems later.
This year at MeasureCamp Czechia, MeasureDesign gave three talks. We covered AI analytics on company data, identifying bot traffic, and how to combine working in analytics with raising young kids.
Working on the go has its benefits, but also a few practical challenges. I’m sharing the setup I’ve fine-tuned over the years that lets me work comfortably from anywhere – from connectivity and a second monitor to ergonomics.
What should a PPC specialist know about analytics and data collection? In our workshop for uLab, we covered the entire chain, from the technical components of tracking and media platforms to collecting and activating first-party data.
How do you get data from multiple ad platforms into a single data warehouse, typically BigQuery? We’ll walk through the core architecture and key decisions before you start exporting data from Google Ads, Meta Ads, Sklik, and other platforms.
Part 3 of our first-party data series gets technical again – we'll show you how to check that data is correctly reaching each system and doing what it should. We'll look at outgoing hits in DevTools and at checks directly in the ad platforms.
A detailed guide to sessionizing the GA4 BigQuery export — from identifying sessions and reliably ordering events to two attribution models (First Event Available and Session Start), their limitations, and validating agreement between them.
Take a look at our ClickUp backup solution. Automated exports, a GitHub repository, and a practical guide to keeping your company data under control.
Learn how to deploy server-side tracking on Google Cloud Run. Compare Stape vs Cloud Run, configure load balancers, choose billing types, and test your setup.
Complete technical guide to collecting first-party data via dataLayer, normalizing, hashing, and sending through server-side GTM to Google Ads and Meta.
Testing ClickUp MCP: hands-on experience with AI-powered automation, security concerns with access tokens, practical limitations, and who should use it.
Learn how first-party data improves campaign performance, measurement accuracy, and cross-device tracking. Discover practical ways to collect and use it.
Learn how we migrated 250 media tags (Facebook, Google Ads, Sklik, Bing) to server-side GTM. Practical tips, templates, and lessons learned.
Workshops on advanced digital analytics: BigQuery, cookieless tracking, consent, attribution, and building data warehouses for reporting and activation.
Why analytics is an excellent career for women, including those returning from maternity leave. A personal story about transitioning into data analytics.
Learn how to transfer historical GA4 data between BigQuery projects using Data Transfer Service. Step-by-step guide for dataset migration and billing.
A look back at Reshoper - advising e-shop owners on tracking and measurement, plus a roundtable on marketing automation with insights on self-hosted N8N.
From Idea to App in 48 Hours 🚀 Building AI-powered apps at #HackYourWeekend using Claude Code, tracking with BigQuery, and lessons from team development.
Recap of MeasureCamp Brno 2025: server-side tracking insights, legal tracking without consent, and Women in Analytics session by MeasureDesign team.
Recap of PPC Camp: my presentation on legally measuring data without user consent - cookieless tracking, sGTM, BigQuery, Facebook conversions, and Advanced Consent Mode risks.
Ready-to-use BigQuery SQL script to calculate Easter dates (2024-2100) using Computus algorithm. Perfect for filtering GA4 data and analyzing seasonal trends.
GA4 + BigQuery in practice: connecting analytics, CRM & media data, real-world use cases from IKEA, Shoptet, McDonald's & Česká spořitelna, and what it unlocks for marketing.
80-minute podcast with Vašek Jelen on GA4, server-side tracking, BigQuery, and connecting customer data with campaign performance for e-commerce.
Vašek and Anička presented at MeasureCamp Prague on using Google Ads export in BigQuery, combining it with GA4 and CRM data to solve attribution issues.
Learn how to extend GA4 data retention from 2 to 14 months. Understand what retention affects, how to change settings, and what happens after data expires.
MeasureDesign led a Google Analytics 4 workshop for Tereza non-profit, focusing on practical data use for their Učíme se venku program.
At the Reshoper conference, I had the opportunity to give a talk where I summarized new opportunities for e-commerce analytics.
Workshop on working with GA4 data in BigQuery and Google Cloud. Learn to move beyond the GA4 interface and unlock the potential of raw GA4 data.
Jana focuses on UX, content and website development at MeasureDesign, making websites clearer and easier to use. She also designs and builds sites for her own clients and values teamwork and finding solutions together.
Vojta works at MeasureDesign on developing technical and data solutions that are not only functional, but also practical and easy to use. He enjoys combining web development, automation, and data work to create solutions that make sense both from the user’s perspective and in terms of the technical foundations behind them. What he finds most rewarding is turning a more complex problem into a clean and reliable solution.
Jirka has been working in marketing for over 10 years, and if there is anything he enjoys more than numbers themselves, it is connecting them. He loves mathematics and data analytics, and thanks to his interest in exploring source code, he can easily communicate with developers in their own language. At MeasureDesign, he specializes in connecting new data sources - building custom connectors in Python, testing data quality, and exploring which data combinations make the most sense from a business perspective. He is completely at home in Looker Studio and also has extensive experience evaluating PPC campaign performance.
Lenka joined MeasureDesign at the end of 2025, bringing extensive experience from PPC marketing, where she spent many years working with Google Ads, Meta Ads, and other advertising platforms. While managing campaigns, she repeatedly ran into the same issue - poorly set up or insufficient web analytics, which made effective optimization nearly impossible. This challenge initially led her to analytics out of necessity, but over time she discovered that she enjoyed it even more than advertising itself. Today, she focuses primarily on implementing web analytics and data solutions that provide companies with high-quality, reliable data for strategic decision-making and performance marketing. She continues to work on selected PPC projects as well - not only because she still enjoys them, but mainly to stay closely connected to the reality of media platforms and the real needs of clients.
Marťa helps integrate AI into everyday work—making it faster, more efficient, and accessible to every team member. What excites her most is finding practical ways to use AI and turning new technologies into useful tools.
Anička has over 7 years of experience in the agency world, where she has managed social media ad campaigns for clients, and especially for content-driven websites, her favorite. Wanting to broaden her perspective beyond campaign data, she gradually shifted her focus toward web analytics. She joined our team in 2022 and now specializes in data analytics, using GA4, BigQuery, Looker Studio, and other tools to connect and dig deeper into data — delivering insightful analyses and valuable input for business decisions. Anička was a member of our team until 2026.
Zuzka's career path led her through corporate innovation and research management, running word-of-mouth projects, and later to a digital agency, where she managed website development projects. However, Zuzka is naturally curious and wanted to understand how a website actually works once it is launched into the world. That curiosity led her to study web analytics — and eventually to a key collaboration with Vašek. In 2019, they founded the company together.
Vašek has been working in digital analytics for over 15 years — from setting up tracking to data storage, visualization, and interpretation. He helps companies keep their data in order and make full use of it. He focuses primarily on data from digital platforms such as websites, apps, and client zones, and on connecting that data with other business data like media and customer data. After years of freelancing, he co-founded the analytics studio MeasureDesign, where, in addition to working on analytics projects and bespoke training sessions, he also mentors and educates new analysts.
Blanka joined our team in 2024 and has been responsible for back-office operations, including invoicing and administrative tasks, ever since. She draws on her experience from the Czech Post and her background in financial management to keep everything running smoothly. In her free time, she enjoys traveling with her two children and finds relaxation in working in her garden.
Markéta started out in marketing, but then came maternity leave — and with it, total chaos. In an effort to hold on to the last bits of sanity, she turned to data. After all, numbers don’t yell, spill cereal into your keyboard, and at least they make some sense. She completed a data analytics course at Engeto Academy, where she bonded with SQL, Power BI, Excel, and Python, and started looking for patterns outside the bounds of children’s coloring books. Today, at MeasureDesign, she helps clients understand what their numbers are really saying.
She joined MeasureDesign in 2023, specialising in measurement implementation and reporting. Her favourite moment is when, after all the setup and testing, the first data finally starts flowing in. Her biggest challenge? The unexpected (and often undocumented) changes from Google – those are the times when every analyst turns into a paranormal behaviour expert. 👻 She was a member of our team until summer 2026.
Klára has been with the company since 2019. She focuses mainly on web analytics but is not afraid to dive into data work in BigQuery. What she enjoys most is guiding clients through the entire process — from defining their needs to implementing tracking and creating the final data visualizations. She gets an almost suspicious amount of joy from a clean and well-organized GTM container or a report full of useful data.
