Funnel analysis analyzes the chain of events leading to a conversion. Events within the funnel take place inside products, mobile apps, websites, emails, or other digital touchpoints.
Funnel analysis lets you understand user behaviors and the obstacles encountered throughout the customer journey. Then, you can improve the friction points to encourage customers down the funnel. Additionally, funnel analysis allows you to monitor your customers’ actions and behaviors, which helps you understand their intentions or motivations.
Read more here: Conversion funnel analysis: A step-by-step guide
Funnel analysis
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The EDPB’s new data anonymization guidelines: what they mean for your analytics data
Removing names, cookies and IP addresses is no longer enough to anonymize data. Here’s what the 2026 EDPB framework actually requires for anonymous data collection, what’s still unresolved, and how to configure your analytics to stay compliant while keeping the full view of traffic marketers rely on.
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What is considered protected health information (PHI) under HIPAA? A guide for healthcare marketers
Quick summary What PHI is: Any individually identifiable health information created, received, maintained, or transmitted by a covered entity or its business associates Who it applies to: Healthcare providers, health plans, healthcare clearinghouses, and their business associates Why it matters for marketing: Marketing tools that collect or transmit PHI without a BAA create HIPAA compliance…
Other definitions
Recent posts from Piwik PRO blog
- The EDPB’s new data anonymization guidelines: what they mean for your analytics data
- What is considered protected health information (PHI) under HIPAA? A guide for healthcare marketers
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- Digital marketing analytics: The beginner’s guide to data-driven marketing success [Updated]