In analytics, predictive metrics help you determine what drives progress toward a goal. Metrics of this type do not measure results but rather drivers of behavior. It is more process-oriented than performance-oriented. Using predictive metrics, you can see whether you are creating the desired outcomes day-by-day and month-by-month.
Google Analytics 4 (GA4) supports predictive metrics gathered from machine-learning algorithms that measure conversion progress. This means that GA4 uses machine learning to predict future customer behavior. These predictions are based on your site visitors, structured event data, and Google’s machine-learning algorithms. The combo generates predictions about your users’ future behavior.
You may also like:
Predictive metrics
-

Piwik PRO now connects with MCP – get answers from your data without building a single report
We’ve just shipped MCP support for Piwik PRO, making it possible to query your analytics data directly through AI tools like Claude. It’s available now for early adopters. Here’s what it solves, how it works, and how to get access. Getting answers from your analytics shouldn’t feel like a research project – but it often…
Other definitions
Recent posts from Piwik PRO blog
- Piwik PRO now connects with MCP – get answers from your data without building a single report
- Google is changing how GA4 and Google Ads share data: Here’s how it puts your compliance at risk
- HIPAA-compliant analytics for healthcare systems: How hospital marketing teams can measure what matters
- Privacy by design in practice: How “just enough” data beats “just in case” collection
- 4 ways to make your analytics HIPAA-compliant: Implementation guide
- Is Google Analytics HIPAA-compliant?
- HIPAA-compliant marketing & advertising: How to run compliant campaigns in healthcare
- PHI vs PII in HIPAA: Healthcare marketing compliance guide
