At Marketing Intelligence s.r.o. we, just like everybody else, process the personal data of our customers and business partners. We are committed to protecting the privacy of visitors of our website, and our customers (hence also referred to as “Data Subjects”).
This Privacy Policy describes how we process personal data (information that can be used to directly or indirectly identify a Data Subject). It also lists Data Subjects’ choices regarding their rights such as access to their personal data or removal of such data.
From visitors to our web pages we collect data based on their web browsing activity after their confirmation consent. All such collected data is only processed for the purpose of analysis of our web page’s effectiveness and possible improvements so that we are able to provide our visitors and customers with better service.
A wider range of data about the browsing activity of our visitors may be collected so that we can get detailed statistics and more information about our visitor’s preferences to improve our services and to target our marketing better. Such data, however, are collected only after we get our visitor’s cookie consent to do so, therefore, in this case, the legal basis for the processing of personal data is consent (point an of article 6 paragraph 1 of GDPR).
Our visitors may contact us or request newsletters using forms on our website. Data provided in these forms will be used only to reply to or send newsletters. This processing is based on the data subject’s consent (point an of article 6 paragraph 1 of GDPR).
We also collect and process data provided to us by the visitors directly in the process of them becoming our customers. This includes name, phone number, email, and company details. This set of data is crucial for us entering into a contract with the visitor, meaning it falls under point b of article 6, paragraph 1 of GDPR (“contract processing”).
None of the personal data mentioned above are sensitive (special categories of personal data).
The data is stored securely, i.e. behind firewalls and, where applicable, encrypted. We have taken multiple organizational and technical measures to make sure the data will be stored securely.
For the purposes stated in this Privacy Policy, Personal Data may be disclosed, when necessary, to authorities, other companies within the same group of companies as us, companies which the group cooperates with and to other third parties. An example of such disclosure is disclosing customer’s email to Facebook when customer is singing up into Marketing Intelligence s.r.o. (as we may need to connect accounts in Marketing Intelligence s.r.o. to customer’s Facebook account).
Personal Data may be transferred outside the European Union and the European Economic Area (“EU/EEA”), including but not limited to, the United States of America, China, Australia, Singapore and Argentina as well as other locations and jurisdictions in which we conduct our business. Such transfers outside the EU/EEA are performed subject to appropriate safeguards such as standard data protection clauses adopted or otherwise approved by the EU Commission in accordance with the GDPR.
We strive to retain Data Subjects’ data only for the period we need them. If a customer decides to stop working with us, we will only retain the customer’s personal data inside the application for 2 months. If the processing of personal data is based on consent, we may process the data until the consent is withdrawn.
Data Subject has a right to request from us:
Data Subject may exercise the aforementioned rights by contacting our support or client partners. We shall endeavor to comply with legitimate requests by Data Subjects as quickly as possible.
Data controller: Marketing Intelligence s.r.o. (IČO 09546529)
All contacts and inquiries related to this Privacy Policy should be addressed to info@marketingintelligence.io.
© 2023 by Marketingintelligence.io
One of the new and exciting features of GA4 is called “predictive metrics” – with these you can learn about your customers and their shopping behavior. These are added automatically to your data and are based on Google’s machine learning expertise.
GA4 currently includes the following predictive metrics:
Google BigQuery is a cost-effective and highly-scalable cloud data warehouse optimized for high performance on very large data sets. With GA4 you can export all your event-level data to BigQuery for additional analytics or data science initiatives.
Example use cases might be
Example use cases might be
You will need to have a Google Cloud account set up and maintained for this purpose. That is why we are here and can solve all the infrastructure for you and with you!
Since 1/2022 GA4 has made a data-driven attribution model available to all users – unlike in Universal Analytics where the DDA model was only available to GA360 customers.
DDA is an algorithmic attribution model that quantifies the value of each touchpoint in the user journey (such as campaign click) and it does so by smart modelling behind the scenes without human bias that is always present in rule-based models.
The DDA model in GA4 is also better than the one on GA360 as it takes into account up to 50 touchpoints in the user journey vs. the GA360 only took 4 touchpoints.
It is also possible to set the default attribution model to DDA (or another model) from the old Last Non-Direct Click. And then all your reports and data exported to BigQuery will use the newly selected model as default.
DDA in Google Analytics 4 excludes almost all direct visits from receiving credit – you may or may not like that, but as it’s been always the case with attribution we recommend validating any model using marketing experiments.
GA4 is built for a world where more and more users opt out of cookie consent and other methods for data collection.
Google uses machine learning modeling to fill in the data gaps – some of these are already in the current GA4 others will be deployed in the future.
For example, modelling conversions allows GA4 to properly attribute conversions without user identification – this is crucial for optimized advertising campaigns and automated bidding. This covers situations such as some browsers limiting the time window for first-party cookies, conversions for unconsented users, Apple’s App Tracking Transparency (ATT) impacts, cross-device user behaviour, and others.