Yes, that works: Please click on your mail adress on the left bottom corner and then on “User Interface”. Now, you can change the size of your font, user interface and also switch between dark and light mode.

Our Data Studio Overview articles are a great starting point. If you want to dive deeper, look into our Tips and Tricks in the Understand your Reports section to create the best reports with the Data Studio.

We currently offer four operators: equals, does not equal, contains, and does not contain. These can be used to refine your reports. You can also use '||' to create an OR filter, such as 'contains = TOF || BOF'.

You can find the timestamp for the last update in the menu located above the log-out button. This article explains more details about your data update information.

The Admetrics Data Studio provides a growing number of integrations with selected media partners. If your data source is not available at this time, please reach out to [email protected] and tell us about your use case.

If you see orders and revenue appear under the channel “Unknown” this means that there were orders attributed to visits for which a landing page URL with an utm_source was logged that is not mapped by Admetrics Data Studio. Here is a list of all mapped UTM sources.

The timezone is determined by your location.

Conversions, orders, and revenue reported by media partners like Facebook, Google, and others are often contradicting and not a solid basis for data-driven decision-making. The reported data is usually incomplete, inaccurate, and has significant gaps. Here’s why:

The solution to these issues is measuring complete user journeys and using those for running attribution modeling.

Admetrics Data Studio is an all-in-one marketing data warehouse, user journey tracking, and attribution solution. The reports paint a solid picture of how each of your paid and non-paid marketing activities contributes to your growth.

The fully privacy-compliant user journey tracking hooks into your existing consent mechanism and doesn't require any coding skills to set up.

Once the user journeys are tracked, Admetrics proprietary attribution models are able to accurately attribute the sales to each touchpoint, channel, and campaign.

The orders and revenue numbers reported by Admetrics will generally be lower than the numbers reported by media platforms like Google or Facebook.

This is mainly because:

An example: When a user clicks a Facebook ad, then a Google ad, and then ultimately makes a purchase, Facebook and Google will both claim/attribute the conversion. Because Admetrics knows all the touchpoints of the user's journey, our attribution models can attribute the order correctly. In the case of last-touch attribution, we would attribute it to the respective Google campaign, in the case of multi-touch attribution both would get a portion of the revenue attributed.

Make sure that tracking is enabled. Also, we will only be able to calculate outputs for the different attribution models from the point tracking is enabled. For time periods that did not have tracking enabled, we are using the last touchpoint from Shopify's API to calculate last touch attribution models - so for this time period, all attribution models will show the same attributed values.

Admetrics Data Studio supports seven different attribution models. There's a good overview of attribution models available.

Quantify is deeply integrated into the Admetrics Data Studio. It's a statistics and experimentation engine that processes and analyses arbitrary marketing data from various sources to generate actionable insights.

We strongly believe that an experimentation-focused approach is the key to sustaining a successful marketing organization. Marketing teams that master testing and learning can out learn their competition by delivering not only better products, but also more relevant ads and experiences, and ultimately drive growth. Transforming your team to have an experimental mindset and building a culture of experimentation is the first step.

No. Quantify will help you to understand the credibility of your performance data and enable you to make better decisions faster while eliminating guesswork and the dependency on data scientists.

With all the possibilities that Quantify provides, there are still common-sense limits. For instance, it might not make sense to compare click-through rates of large advertisements with those of text links. While Quantify will deliver results in this case, the usefulness of these results will be limited.

Always-on experimentation is an agile process that enables companies to iterate, optimize, and innovate faster by continually learning from ever-running marketing experiments. Implementing always-on experimentation can have a tremendous impact on how businesses conduct their marketing practices and drive growth.

Bayesian statistics solve the intrinsic problem of making decisions based on average numbers: The impossibility to know the correct point in time to stop a test.

Due to this timing problem, tests are either stopped too early, which leads to bad decisions as the results are not yet representative – or the tests are stopped too late, which constitutes a waste of time and marketing spend, especially with regard to poor performing variations.

Due to its probabilistic approach, Bayesian statistics deliver sound results at any point in time.

A/B significance testing comes with a number of drawbacks that can be avoided with Bayesian statistics:

The Admetrics Pixel is an integral part of our data collection framework. It is designed to measure the effectiveness of your advertising campaigns and offers robust tracking and attribution capabilities. We operate under strict GDPR compliance, as outlined in Article 28 of the DSGVO.

The Pixel captures specific metadata such as the URL visited, IP address, timestamp, device and browser details, and order IDs, all for the purpose of in-depth analysis. This data collection is strictly consent-based, to align with GDPR requirements.

Admetrics utilizes five specific cookies to offer granular analysis:

The compliance snippet is available in English and German.