Google Analytics 4:
Decoding Data Giants for
Digital Triumph.
Explore the cutting-edge world of web analytics with Google Analytics 4 (GA4). Uncover its revolutionary advancements, unveiling the potential to drive your digital triumph.
Universal Analytics
Google Analytics 4
Data Model
Cookie-based, session-focused data model
Event-based, user-centric data model
Cross-Platform Tracking
Manual cross-platform tracking setup
Seamless cross-platform tracking for user interactions
Event Tracking
Manual event implementation required
Built-in event tracking for flexible user interactions
Machine Learning and AI Integration
No built-in ML capabilities
ML for predictive insights
Data Privacy and Compliance
Privacy challenges with cookies
Privacy-focused, offers data anonymization
Machine Learning and AI Integration
Classic interface
ML for predictive insights
Why Choose
Google Analytics 4?
Introducing GA4:
The Future of Web Analytics
GA4 surpasses Universal Analytics for essential reasons. It offers seamless cross-platform tracking for a comprehensive view of user interactions, user-centric reporting for deeper insights into behavior, and an event-driven data model for more flexibility.
The integration of machine learning empowers data-driven decisions, while privacy features ensure compliance. As an actively supported platform, GA4 ensures businesses stay updated for future growth in the evolving digital landscape.

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End - To - End
GA4 Migration Services.
PHASE 1
Assessment and
Planning
- Evaluate existing analytics setup and data in Universal Analytics.
- Define migration objectives and key performance indicators (KPIs).
- Develop migration strategy, including timelines and resource allocation.
PHASE 2
Data Preparation and
Mapping
- Ensure data cleanliness and accuracy in Universal Analytics.
- Map data to align with GA4 data model.
- Set up custom dimensions, metrics, and user properties for GA4 tracking.
PHASE 3
GA4 Implementation
- We’ll take a step back to assess your current set up and work out Create new GA4 property in Google Analytics account.
- Install GA4 tracking code on relevant platforms (websites, apps, etc.).
- Set up data streams for comprehensive data collection.the best course of action.
PHASE 4
Testing and Validation
- Verify accuracy of data collection in GA4 through thorough testing.
- Validate event and conversion tracking implementation.
- Compare data between Universal Analytics and GA4 for consistency.
PHASE 5
User Training and
Knowledge Transfer
- We’ll take a step back tProvide training for stakeholders on GA4 features and reports.
- Educate key team members about differences between GA4 and Universal Analytics.o assess your current set up and work out the best course of action.
PHASE 6
Migration Completion
and Post-Migration
Support
- Finalize migration process, ensuring accurate data tracking in GA4.
- Monitor post-migration data to address potential issues and ensure smooth transition.
- Offer ongoing support and optimization to maximize GA4 benefits.
Implementation Package.
GA4 Migration
GA4 property set up & migrate your UA events to GA4
- Audit Assessment Report
- GA4 Property Setup (1 Website)
- Migration of all UA events to GA4
- Measurement Plan and event implementation plan
GA4 Setup
Fresh GA4 Implementation as per the new data model
- Audit Assessment Report
- GA4 Property Setup (1 Website)
- Measurement Plan and event implementation plan
- Event Setup - Industry specific and custom events (Upto 50 events)
- Goals & Conversions setup
- Data Studio Dashboard - Industry Specific (1 Dashboard)
- Virtual GA4 Training (upto 6 hours)
GA4 Advance
Complete GA4 implementation with advance configurations
- Audit Assessment Report
- GA4 Property Setup (1 Website)
- Measurement Plan and event implementation plan
- Event Setup - Industry specific and custom events (Upto 50 events)
- Goals & Conversions setup
- Data Studio Dashboard - Industry Specific (1 Dashboard)
- Virtual GA4 Training (upto 6 hours)
- Advanced Analysis Reports (upto 10 reports)
- Remarketing and Predictive Audiences (upto 25 audiences)
- Data import with GA4 (upto 1 Data Source)
Frequently Asked
Questions.
GA4 offers marketing channel optimization, improved customer experience, and enhanced business operations.
On July 1, 2023, GA3/UA will stop processing new hits. You will then have access to your historical data for six months before it’s gone forever.
We recommend users adopt Google BigQuery as a data storage solution for historical data exported from GA3/UA once they have made the switch to GA4.
GA3/UA is fast becoming obsolete. Without making the switch to GA4, you will be abandoned when UA stops functioning entirely in 2023. It’s best to make the migration ahead of time, so you can adjust to the new system, and you don’t risk losing valuable data.
The amount of time implementation will take depends on the project. Depending on the complexity of the website, the present Google Analytics setup, and the available resources on the development team, implementation can take an average of 15 to 30 hours, or 1 to 3 weeks. The process may take additional time for developers to implement tracking codes. Contact us for a free consultation to learn more.
GA4 will not have historical data. GA4 uses an events-based model for their data system, while GA3/UA uses a sessions-based model. Users can export and store historical data from GA3/UA with the data storage solution Google BigQuery.
Contact Us.
Let’s Get Started
GA4 surpasses Universal Analytics for essential reasons. It offers seamless cross-platform tracking for a comprehensive view of user interactions, user-centric reporting for deeper insights into behavior, and an event-driven data model for more flexibility.
The integration of machine learning empowers data-driven decisions, while privacy features ensure compliance. As an actively supported platform, GA4 ensures businesses stay updated for future growth in the evolving digital landscape.