As of July 1, 2024, Google will close all Universal Analytics services and APIs, ending all access, including read-only, and permanently delete all data related to Universal Analytics.
If you have not downloaded or stored your historical data correctly;
- You will lose your historical data and will not be able to access your historical data, including long-term website performance,
- You will not be able to use settings accessed or used through advertisers or other product integrations,
- Targets and ecommerce transactions will stop measuring new conversions, including linked ad accounts, and advertising campaign performance will be affected if these conversions are used in conjunction with Smart Bidding,
- Audience lists will disappear, which can affect your ad campaign media activation and performance,
- API requests will fail, including deleting data requests, and Looker Studio will not show any data,
- Attribution Projects (beta) in Google Analytics will be deleted.
Due to the shutdown of Universal Analytics services and deletion of all data, Google recommends that users manually download historical data and export reports or import them to BigQuery using the Google Analytics Reporting API so that they are not affected by this change.
While Google's proposal to manually download historical UA data may seem useful, for companies with extensive web content and long-term data history, this proposal presents major challenges, making the transition a highly time-consuming and labor-intensive situation.
With the dedicated solution we developed as a Google Cloud Premier Partner, you can easily save your Universal Analytics data and combine it with GA4 data for a seamless data history and reporting. In this way, you can easily access all of your website's data through a single unified dashboard, eliminating the hassle of commuting and manually comparing data between two separate dashboards, while gaining complete autonomy and control over your data.
In addition, this solution, developed using BigQuery, presents your data in Looker Studio in a user-friendly and accessible format, making your marketing activities more efficient and keeping your data safe in the event of a service outage.
İlginizi Çekebilecek Diğer İçeriklerimiz
Veri analisti (Data Analyst), verileri toplayan, analiz eden ve bu verilerden anlamlı içgörüler çıkararak işletmelere stratejik kararlar almalarında yardımcı olan bir profesyoneldir.
Makine Öğrenimi Mühendisi (Machine Learning Engineer), veri analizi ve yapay zeka algoritmalarıyla çalışan, makinelerin öğrenmesini ve veri odaklı kararlar almasını sağlayan sistemleri geliştiren bir profesyoneldir. Bu mühendisler, istatistik, programlama ve veri bilimi becerilerini kullanarak, iş süreçlerini otomatikleştiren ve optimize eden çözümler oluşturur.
