talk-data.com

In this session, Jeff Sauer, founder of Data Driven U is going to show you how to improve your marketing results while collecting less data, focusing your efforts, and simply following proven plans that work!

In this talk Kris Ewald, data analytics veteran will review the current status on analytics data vs blockchain data - pro et contra for each techstack, followup on the discussion from the fireside chat on data ownership and control, and how to turn data into quantifiable (value) objects.

In the last years working on an analytics implementation has become more and more complicated with lots of new frontend technologies and platforms that makes things harder to be checked.

We often think Analysis is the final part of our craft, but we need to pass our insights and conclusions to the audience in order to become valuable. In this lecture Robert will give you some insights on how to turn data into words and how to tell a meaningful data story to people who are afraid of figures, charts and data in general.

Experimentation analysis can take days if not weeks to be thoughtfully analyzed, which can either reduce your team's throughput or may reduce your organization's capability to make decisions based upon tested learnings without them becoming irrelevant. More often than not teams are not well equipped with multiple analysts and data scientists, so scaling the experimentation program is capped by their throughput.

Is it possible to analyze and fix the e-commerce tracking of a top “Serie A” football team WITHOUT having any access to the Google Analytics and Tag Manager panels, WITHOUT collaboration from the developers, WITHOUT a brief from the former supplier, and with very little time available? Apparently, yes. Follow the running commentary of an incredible case history and the secrets of a providential intervention carried out at the very last moment, to understand the logic beneath it and be able to replicate it if needed.

One of the things that Yehoshua enjoys very much about Superweek is the opportunity to learn from so many different individuals. In this talk, Yehoshua will take the role of teacher and share with you a potpourri list of "Things He's Learned" that relate to data and analytics over the past two years. Ranging from strategy to tactics, technical to generalized, this presentation is sure to have at least 1 slide that is so amazing that the viral tweetstorm that will ensue might possibly crash the internet

Many businesses recognized the effectiveness of organic and paid search engine traffic during the pandemic. Increased investment and effort during lockdowns resulted in a significantly competitive market.

Our industry is changing rapidly: tracking standards are under pressure, consumers are more privacy conscious and legislators are trying to regain control of big tech.

How does an analyst help out or better say collaborate on client accounts making them more efficient? What kind of deliverable is expected and how it is utilized and later on automated so that it benefits the entire organization?

Classical Mandolinists inhabit a fringe of the musical world. Grabbing techniques from different countries and traditions, and exploring related-but-not-central technologies, their journey offers some clues for success for digital analysts - who often inhabit their own fringe world!

Conductrics Quiz - Matt Gershoff from Conductrics will be your quiz master for a fun filled night of quizzical conundrums, bragging rights, and prizes.

Maybe you've been running Google Analytics 4, aka GA4, alongside Universal Analytics for a while now. Or maybe you haven't even started. Well, now is the time, because everything is about to change! GA4 is here and it's here to stay. In this session, Krista will walk you through the ins and outs of GA4 and show you some cool new things to help you maximize your use of Google Analytics.

All too often, both individuals and organizations hoard the most prized asset in the digital ecosystem: data. This has led to different types of data — such as those tied to ad revenue, subscriptions, content engagement and customer profiles — being kept in silos, to be managed via disparate point solutions. Operating in this way means businesses never get a comprehensive view of their customers, leading to missed opportunities to drive personalized experiences, increase revenues, boost retention and remain privacy-compliant.

Every marketer wants to accurately measure the impact of their advertising spend. And “digital” was supposed to make that really easy (especially for digital advertising). But, that promise has rarely been realized---it’s becoming increasingly difficult to track users across touchpoints, thanks to privacy regulations (GDPR, CCPA, etc.) and browser updates that block or aggressively expire cookies. In this session, we will review four different approaches to marketing attribution: heuristic modeling (first touch, last touch, linear, time decay, etc.), algorithmic modeling, media mix modeling (MMM), and randomized controlled trials (RCTs). As part of the review, we will venture lightly, but profoundly, into some foundational statistical concepts: we WILL use the terms 'counterfactual' and 'potential outcome,' and probably even 'unobserved heterogeneity!'

Simo explores the latest and greatest paradigm in Google's marketing stack: server-side tagging in Google Tag Manager. The benefits of moving data collection server-side are obvious – or are they? The same tools and mechanisms that help with data governance and oversight can be abused due to the opaqueness associated with moving data collections server-side. In this talk, Simo takes a honest look at just what problems server-side tagging seeks to address, and whether it actually manages to do what it’s set out to do.

Demonstrate any Digital Analytics solutions or method of your own that is way beyond the defaults. Who decides who's gonna win? The audience. Send your nomination to [email protected]!