In this hopefully relatable but definitely actionable talk, Simo taps into his 10+ years of experience in helping others find solutions to their problems in open communities like product support forums, blog comment areas, and Measure Slack.

Every year, the newage. agency conducts a meta-study on the behavior of Ukrainians on the Internet. Specialists collect and check all available data: number of users, popular sites and applications, trends in content consumption, trends among advertisers, etc. This year, the traditional local study turned into a study on the impact of war.

Shifts in technology and the rise of privacy laws are reshaping the industry, bringing the uncertainty to analytics professionals' work. And the most significant changes are still ahead of us.

Server-side tracking has quickly become a crucial technology to improve data quality and compliance. Real-time data enrichment in a first-party context is the next step to unlocking its full potential. In his presentation, Thomas will share three real-world customer cases that demonstrate the benefits of data enrichment and why it is so important to enrich in real-time:

Privacy can often feel like a game - one that is full of challenges and obstacles. From the constant struggle to understand and comply with complex privacy laws and regulations, to the seemingly endless stream of brickbats from DPOs and legal teams, it can be easy to see privacy as a barrier to growth and success.

Kris Ewald will give you an overview of Innovations in Data Science you should be aware of. If data driven insights are key to competitiveness, you need to keep innovating on how you Collect, Manage and Challenge data. With plenty of other talks about very specific tools and data analytics frameworks, this talk will instead aim to inspire you to apply new approaches to your data science - it'll give you a list of topics you should care about and pay attention to. Expect to hear about Zero-knowledge proofs, Homomorphic encryption, DAGs, and Blockchain and data as value objects.

In this talk Russell will show how the cost to acquire a conversion changes over time. This will be based on when customers were originally acquired, what they bought and much more.

Every team wants to improve, optimize, reach goals, to grow. Every team also has a massive pile of ideas on what to work on next. Prioritization is the key to success, ensuring they work on stuff with a high chance of making an impact. As an analyst, you should deliver the insights that feed the prioritization. Did you know that analytics is just a tiny part of those insights? In this talk, I'll show you the best sources to analyze to develop insights that optimize your prioritization.

In his talk, Ahmad is going to share the tools, solutions, and strategies he and his team developed in-house using Looker Studio, BigQuery and Google Cloud to be able to manage, maintain, and monitor data pipelines and dashboards for their clients efficiently and at scale.

Marketing teams need analytics. Product teams need analytics. There are marketing analytics vendors like Google Analytics and Adobe Analytics. There are product analytics vendors like Amplitude and Mixpanel. But what are the real differences between marketing and product analytics? Do organizations need different teams for each? Should organizations use both types of tools? Will one replace the other or will these disciplines converge?

With the current economic challenges, layoffs and budget cuts proofing the value of analytics and making the case of how it could be used to bring value to organizations is of an increasing importance. In this talk Ibrahim will cover this topic and will suggest a framework and ways of working to proof and communicate that value.

Join us for a deep dive into the analytics and marketing tech stack of the future! Drawing inspiration from the lovable robot Johnny 5 in the classic film Short Circuit, we'll explore the critical role that data (aka input) plays in driving marketing and analytics success. Discover how innovative tools like customer data platforms and reverse ETL platforms are revolutionizing the way we build and improve our analytics infrastructure and tech stacks. Learn how to stay ahead of the curve in a much more data-driven world and discover how to make use of the power of more input for your own organization!

In the age of GDPR, CCPA, and HIPAA along with the widespread proliferation of ad blockers and Apple’s ITP, it’s never been harder to measure the effectiveness of your digital marketing efforts while protecting your customers' data.

In August 2020 Matteo and Roberto met for the first time a fascinating creature with a cumbersome name: App + Web. It was not love at first sight. After all, they were already engaged in a longtime romance with Universal Analytics.

When most Marketers think of Analytics, they think of clickstream data… the clicks, visits, views and hopefully the conversions. But Analytics is so much more than that. Analytics is applying your brain for discovery, interpretation, and communication of meaningful patterns in data.

A panel (TBD) and freeform complaint session for the audience, where we rant and monologue about what's wrong with our industry today. This is a safe/sayf space for all curmudgeons to put aside the niceties, and receive validation for what irks them. Hosted by Sayf Sharif of Media.Monks, who is known far and wide for his unabashed rants, stern monologues, and general orneriness when people or things just don't do what they are supposed to do. Bring your angry opinions and/or popcorn.

In the past, digital analytics experienced a boom with the emergence of tag management systems. These tools allowed marketers to quickly and easily implement tracking and marketing tags without relying on web developers, improving speed and agility for those eager to take advantage of new opportunities. And we all know how eager marketers are.

As analysts we are well aware of the legal and moral boundaries that come with handling delicate data. But imagine for a moment that behind a desk at your competitor's office was an analyst unbothered by those boundaries. His only goal is to get a competitive advantage by exploiting the weak points in your analytics pipeline. He wants you to waste as much time, money and credibility while you deal with polluted source data, spam, data breaches and legal DDoS attacks.

Mariia had worked with different companies: big & small, those who do everything in-house and those who hire agencies and partners for every little thing, those who are just entering the market as well as those, who shape & lead the market.

Yuliia will explore certain aspects that are sometimes get overlooked in data engineering when onboarding a new tool. A new tool that promises a high ROI, saves time may provide those benefits - still, it is important to be aware all the unintended negative consequences.

Digital analytics data is almost exclusively data that exists over time. That is such an obvious fact that it's easy to blow right past some important considerations and techniques that are unique or (or, at least, present in) time-series data. Stationarity (and, often, the lack thereof) and seasonality (annual...and intra-week!) alone are important and intriguing considerations when it comes to time-series data. In this session, Tim will do a high-level review of some key concepts and some of his favorite techniques for responsibly working with time-series data.

A lot of information has been shared about "normal" website user interface testing using Cypress, an end-to-end testing tool, but not so much about testing analytics implementations. You can set up tests of your website features, but also tests of how your tag management system, and added tags, are running on your web pages.

Every analyst has their favorite analytics toolset. They may use many, or may only know one platform inside and out. In this panel we'll dive into the pros and cons of the biggest analytics platforms out there and have a healthy debate over where the future of the analytics industry will go.

While the subject of privacy has been around for a while, the good old "collect it all" approach is doing better than ever. With pressing expectations to start leveraging GA4 data, customers realized that information comes at a cost. The more data, the higher the cost.