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Getting Started
Required Setup
Optional Setup
Data Studio Overview
Dashboards
Performance
Creatives
- Products
- Retention
- Profitability
- Marketing Mix
- Experiments
Settings
Help
Understand your reports
Tips and Tricks
Attribution Models
Bayesian Statistics
User Journey Tracking
Understand your Metrics
Metrics Overview
Product Level Metrics
Target Metrics
Data Loading
Data Updates
Data Loading Issues
Data Discrepancies
Frequently Asked Questions
Releases & ChangeLog
This section summarizes the most asked question about the user interface, data and mapping, attribution, and statistics and experimentation.
User interface
- The fonts and the overall user interface are pretty large. Can I change the scale?
- Where's the best place to learn how to use the user interface?
- What operators can I use to filter and refine my reports?
- Where is the last update information?
Data and mapping
- A lot of orders are not attributed correctly and appear under the channel “Unknown”. How can I fix that?
- What if I don't find the data sources I need?
- How is the timezone set?
Attribution
- Why should I run my own attribution models?
- How does Admetrics Data Studio solve attribution issues?
- Why do Admetrics Data Studio's reported orders and revenue differ from media platform reports?
- Why do all attribution models show the same values?
- Which attribution models does Admetrics support?
Statistics and experimentation
- What is Quantify?
- Why should I test and experiment?
- Do I have to run concrete experiments to leverage statistical analysis?
- What is always-on experimentation?
- How are Bayesian statistics superior to average numbers?
- How are Bayesian statistics superior to A/B significance testing?
Privacy and Compliance
- What is the Admetrics Pixel and what role does it play in tracking and attribution?
- What kind of data does the Admetrics Pixel capture, and how does this align with GDPR compliance?
- What cookies are used by Admetrics, and what do I need to know about them for compliance purposes?