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Universal Analytics Data Storage: Securing Your Business's Historical Data
As Google Analytics transitions from Universal Analytics to Google Analytics 4 (GA4), the critical importance of Universal Analytics data storage cannot be overstated. Metric Labs offers specialised services to ensure your historical data is safely transitioned without losing the valuable insights that drive your business decisions. This guide explores why preserving Universal Analytics properties and analytics data is crucial for maintaining continuity and integrity in your analytical practices.
Key Takeaways
The article highlights the importance of robust data management strategies, including utilising APIs for data export, employing secure data storage solutions, and keeping data structured and accessible to retain crucial business insights.
With Universal Analytics ceasing data collection and soon to become inaccessible, businesses need to act swiftly to secure their historical data to avoid losing critical analytics capabilities and insights.
As Google transitions from Universal Analytics to Google Analytics 4, Metric Labs ensures that historical data is safely transitioned to maintain continuity and integrity in analytics practices, protecting valuable insights.
The Importance of Universal Analytics Data Storage
Universal Analytics has been a cornerstone for web analytics, providing detailed insights into user behaviors and website performance. With the transition to Google Analytics 4, marked by the moment Universal Analytics was replaced on July 1, 2023, it is imperative for businesses to secure their historical data to avoid disruptions in their analytics capabilities. Universal Analytics data storage by Metric Labs ensures that your data is not only preserved but also continues to serve as a foundational element for generating new insights.
What Data is Included in Your UA Backup?
Metric Labs‘s Universal Analytics data storage solution includes all essential data points that have been measured and reported through your Universal Analytics properties:
User interactions, web traffic, and engagement across multiple websites
Ecommerce transactions
Conversion metrics and attribution models
Detailed records of the customer journey across multiple devices and sites
This comprehensive approach ensures no critical data is lost during the transition to Google Analytics 4.
Step-by-Step Guide to Preserving Google Analytics Historical Data
Follow this step-by-step guide to export and safeguard your UA historical data to ensure its longevity and accessibility to make informed decisions.
Step 1: Audit and prioritise your UA data
Review your Universal Analytics data to identify what’s most valuable. Focus on data that has driven strategic decisions in the past, such as user behaviour reports, conversion data, and traffic sources.
For example, if your eCommerce site benefits from understanding seasonal purchase patterns, you may want to prioritise:
Seasonal sales data: Detailed records of sales transactions during peak seasons, holidays, and promotional periods. This data helps forecast demand and plan inventory.
Customer traffic sources: Insights into which channels (organic search, paid ads, social media) drive the most traffic and conversions during different seasons. This information is crucial for allocating marketing budgets effectively.
Product performance data: Information on which products sell best at different times of the year, including quantities sold and revenue generated. This data aids in stock management and promotional planning.
Conversion rates by season: Analysis of how conversion rates vary across different seasons or specific promotional periods. This data helps optimise the website and marketing messages for higher conversions during peak times.
Customer behaviour data: Insights into how customer interactions with the site change with the seasons, including pages visited, time spent on site, and abandonment rates. This information is valuable for improving user experience and reducing bounce rates during high-traffic seasons.
Step 2: Understand GA4’s new features and capabilities
Understanding GA4’s new features and capabilities will significantly enhance historical insights and provide more accurate integration with GA4 data. When you switch to GA4, you’ll have to use a separate platform for historical analysis using UA and GA4 data sets—i.e., spreadsheets, analytics reporting platforms, etc.
GA4 introduces a fundamentally different architecture and data model, focusing more on user engagement, privacy, and cross-platform measurement. By comprehensively understanding these changes, you can map your historical data more effectively into GA4’s framework, ensuring your analysis and reporting continuity.
For example, GA4’s event-based model allows for more granular analysis of user interactions compared to UA’s session-based model. Knowing how to translate your historical session data into meaningful events in GA4 can provide deeper insights into user behaviour.
Additionally, GA4’s emphasis on user privacy and data collection controls means that knowing how to adjust historical data for analysis while complying with these new standards is vital.
Understanding these differences and how you plan to merge UA and GA4 data will select the most appropriate export method. This step may require testing to determine which solution meets your current and future business needs.
Step 3: Exporting your data
Here are the ways you can export data from Universal Analytics according to Google’s official documentation:
Exporting using different file formats:
CSV: Ideal for large datasets and compatibility with most data analysis tools.
Benefit: easy to use with external analysis tools;
Limitation: lacks the formatting and visual appeal of other formats.
TSV/TSV for Excel: Best for importing data into spreadsheet applications.
Benefit: straightforward for data manipulation in Excel.
Limitation: may require additional formatting steps.
Excel (XLSX): Perfect for users familiar with Excel, providing a ready-to-analyse format.
Benefit: integrates seamlessly with Excel’s analytical tools.
Limitation: file size can become unwieldy with expansive datasets.
Google Sheets: Allows for easy sharing and collaboration online.
Benefit: facilitates real-time collaboration.
Limitation: may not support expansive datasets as smoothly as Excel.
PDF: Suitable for creating static reports for presentations or archives.
Benefit: preserves the layout and formatting.
Limitation: not suitable for further analysis.
Exporting might seem like the most straightforward option, but it’s time-consuming with a few significant limitations:
Row Limit: Google caps downloads to a maximum of 5,000 rows per report, corresponding to the display limit in the UA interface. If your business has extensive data, you must export multiple times to capture all relevant information for a single report—which may take days, even weeks, to do correctly!
Dimension Limit: You can only apply two dimensions per export, limiting the complexity of analysis you can perform directly from these downloads.
UA Sampling: Analyses a subset of data to infer trends or patterns in the larger dataset. The main drawback of sampling is its potential to provide an incomplete picture, as reports generated from a subset may not fully represent total data trends.
To maintain 100% data accuracy and integrity, we highly recommend one of the following methods for exporting Universal Analytics data.
Export data to cloud storage or business intelligence platforms:
The Google Analytics Reporting API enables analytics experts to export data directly to cloud storage, linking with Looker Studio or Microsoft Power BI for comprehensive data visualisation. This method supports custom data requests but requires familiarity with API usage and quotas.
Export using the Google Analytics Spreadsheet add-on:
The Google Sheets add-on for Analytics offers a straightforward way to archive data with the added benefit of easy access and sharing capabilities. This method suits users looking for a balance between simplicity and functionality.
Google Analytics 360 export:
Google Analytics 360 customers can export to BigQuery, facilitating complex queries and large-scale data analysis. Exporting using BigQuery is the most comprehensive export method and ensures the best preservation of historical data. It’s also the most technical and requires expert analytics expertise.
Step 4: Setting up and transitioning to Google Analytics 4
Set up your GA4 property through the Google Analytics admin panel, ensuring you configure data streams to match your previous UA setup as closely as possible.
For example, if your UA account tracked multiple websites, set up corresponding GA4 data streams. This step ensures continuity in data collection, albeit with the challenge of adapting to GA4’s different data models and metrics.
Recommended reading for this step:
Mastering Google Analytics 4 Setup: Check List + 10 Best Practices for 2023
Common Google Analytics 4 Problems with Shopify (for eCommerce users)
Step 5: Validating your GA4 setup
After transitioning, closely monitor your GA4 data against your UA data to validate the setup’s accuracy. Look for discrepancies in user counts, session data, and event tracking. Implementing consistent UTM parameters can help ensure tracking continuity.
This validation is critical for confirming the reliability of your new GA4 setup, though it may highlight areas requiring adjustment or further configuration.
Why Choose Metric Labs for Your UA Backup?
Selecting Metric Labs for your Universal Analytics data storage means ensuring that your historical data is handled with the utmost care and expertise. Our service highlights include:
Advanced data handling tools and APIs linked to Universal Analytics
Customised data export features that cater to specific business needs
Secure data access controls and privacy settings to comply with new data regulations
What's Included in Metric Labs Universal Analytics Backup Solution?
Our Universal Analytics data storage solution is designed to future-proof your analytics practices:
Complete data export of every page from Universal Analytics properties
Historical data integration into Google Analytics 4 for continued access
Support for data interpretation through Looker Studio and other analytics tools
Enhanced Features of Our Universal Analytics Backup Solution
Metric Labs enhances your data storage capabilities with several key features:
Interactive dashboards created in Looker Studio to visualise historical data
API integration for seamless data transfer between different analytics platforms
Continuous updates on data privacy settings and access controls as per industry standards
Summary
Don’t let the transition to Google Analytics 4 cause you to lose access to valuable historical data. Metric Labs offers robust Universal Analytics data storage solutions to ensure your data remains a vital asset for your business. Secure your analytics legacy with Metric Labs and continue to harness your historical insights for new data generation and improved business performance.
Frequently asked questions
Is Universal Analytics still collecting data?
As of 1 July 2023, Universal Analytics has officially stopped collecting new data. Businesses using Universal Analytics are encouraged to transition to Google Analytics 4, which is now Google’s primary analytics service. The existing data within Universal Analytics will remain accessible for a short period before it is permanently deleted, emphasising the importance of migrating or exporting historical data to avoid loss of access.
When will the UA historical data be permanently deleted?
The deadline for accessing historical data in Universal Analytics is 1 July 2024. After this date, all historical data in Universal Analytics properties will be permanently deleted. Businesses are advised to export their data before this deadline to ensure they retain access to their historical insights.
Where can I find more information on UA data deletion?
You can find more information on UA data deletion on the Google Help Center, or you can visit our blog on this topic here.
How do I get started?
Getting started is simple. Just email us hello@metriclabs.com.au or call us on 02 9160 0711 .
Happy Clients
Client testimonials
“Metric Labs expertly transitioned our Universal Analytics to GA4, set up custom tracking and events, provided comprehensive training, and built detailed Looker Studio reports. They also secured our historical data in BigQuery, ensuring nothing was lost.
Their knowledgeable, proactive, and responsive team made the process seamless. Working with them was a pleasure, and their dedication was evident throughout. I highly recommend Metric Labs for their outstanding service and expertise.”
Annabelle De Vos
Hoselink
“Metric Labs helped the Powerhouse implement a fresh installation of Google Analytics 4 that works seamlessly across our various domains.They also built several bespoke dashboards intended for various internal departments, so we could easily share the ongoing stats to stakeholders.
As a team, they were reliable, extremely knowledgeable, and more than happy to find solutions. Very easy to work with and a positive experience, all around.”
Kelly Pickett
Powerhouse
“It comes down to integrity and the ability to deliver that would define the Metric Labs team.
In this forever evolving digital landscape, Metric Labs is always coming up with clever ways to stay ahead of the curve and get cut-through in this saturated space.
If you are in need of an amazing digital agency, you really don’t need to look any further than Metric Labs.”
Lauren Earl
Manning Cartell
“We have worked with Metric Labs on building our digital marketing presence. We’ve found the team extremely knowledgeable and easy to work with.
They have helped us to grow our leads by a significant amount and were always in contact about campaign activities.
The team also provided us with invaluable reporting and insight into our campaigns, which allowed us to regularly iterate and improve to consistently meet our objectives.”
Stephanie Lay
Good Capital Group