Today we have released a new pixel version with which you can optimize your tracking. The new pixel version 5.1.0 and 4.4.6 contains the following changes:
Requests are written to the request queue immediately.
Commas in page names are now supported.
Release date: July 18, 2019
We have released a new version of the Webtrekk Smart Pixel to allow further improvements in tracking. With this version, the URL of a page (content ID) and a link will not be automatically changed.
Previously, the values for the current content IDs and link tracking were automatically changed by the pixel into the following structure:
- Underscores have replaced points.
- Slashes changed to dots.
To get a more intuitive structure now, we have changed the behavior for automatic content ID generation and link tracking to the following structure:
- The content ID displays the URL without any protocols, parameters, or anchors.
- The automatic link tracking displays the linked href-URL without any protocols, parameters, or anchors (unless explicitly mentioned in the action tracking parameters).
- For single page applications, progressive web apps, and accelerated mobile pages, it is still possible to generate content IDs based on URLs (even if they contain a # or other possible link decorations).
- Anchor links do not generate a new content ID.
With this improvement, in Analytics under Pages, you can filter by a specific URL. This also makes it much easier to navigate directly to the actual page.
Release date: July 18, 2019
Data Streams is a powerful tool to enable customers to make use of Webtrekk raw data instantly. Data Streams can be perceived as another data distribution method on the surface, where we deliver raw data not in hourly or daily batches, but a stream of events.
With data streams, you have the ability to gain insights from the real interaction of end users in real time by combining the world of data into real-time actions and a constant flow of events. In this context, events are pages and actions that have many attributes that are attached to them to identify better what they are and to turn them into the single source of truth for our insights and actions.
Example: Webtrekk Suite - Data Streams Overview
Release date: July 19, 2019
With this release, you can expand nodes in a pivot table and save them for future/further use, so that you can see the underlying data in the report/ export at any time directly.
This configuration is saved permanently when you save the analysis as "My analysis" or as a report element. If you then export the analyses and reports saved in this way, pivot tables with the extended nodes are displayed.
With today's release, customers with a Webtrekk account can ask for the deactivation of the predefined Dashboard view in Analytics as needed. Contact the Webtrekk Support Team for this purpose (firstname.lastname@example.org).
Publication date: 03 July 2019
The Path Analysis is now available for your Webtrekk Analytics account. With this feature, you can visualize your customers' behavior flow as well as conversion paths (customer journeys).
The most important key findings you gain from path analysis include these:
- Understand on which page your visitors start (landing page) and to which pages they navigate.
- Gain deep insights into specific content, such as what content was consumed and in what order.
- Find out if there are typical "reading paths" and which content has the highest exit rates.
Webtrekk Path Analysis enables paths for each dimension that can have multiple values in a user session or lifetime. These include, for example, pages, content groups, products, and actions. You can also use the path view to gain interesting insights into the use of forms, the use of different devices, or campaigns (channels) before an order (customer journey).
To open the Path Analysis view, click the new [Path] button. Your confirmation will then perform the calculation.
Example: Path Analysis View
Publication date: July 03, 2019
The Webtrekk Android SDK is used to integrate the Webtrekk tracking system into your Android apps. Collect meaningful data about how your apps are used, track how your users interact with your app, how they view specific pages, and custom events. Based on the tracking data from apps different indicators can be measured, which are are already known from the web analytics, such as page impressions, events, screen size, operating system, e-commerce tracking, etc. Especially page impression data or events, and also the number of conversion in the e-commerce tracking are beneficial to draw conclusions for your business optimization.
Concerning the handling, we have focused on the following points: Developers should be able to set up the system quickly and intuitively. Overall, we have reduced the complexity to the optimal level required to ensure flexibility and scalability with high performance.
Publishing date: July 01, 2019