Scenario: E-Commerce Funnel Conversion Analytics

How can we trace user sessions from product view -> add to cart -> checkout -> payment to calculate step conversion rates?

Production⏱ 3 Minutes⭐ 830 XP

🤔 THE QUESTION

How can we trace user sessions from product view -> add to cart -> checkout -> payment to calculate step conversion rates?

💡 WHAT IS IT?

Aggregating step occurrence flags per session and computing ratios evaluates conversion friction across stages.

🎯 WHAT IS IT USED FOR?

Product analytics dashboards optimizing checkout flows and identifying user drop-off points.

💻 EXAMPLE

df_funnel = df_events.groupBy("session_id").agg(max(when(col("event") == "view_item", 1).otherwise(0)).alias("viewed"), max(when(col("event") == "add_to_cart", 1).otherwise(0)).alias("carted"), max(when(col("event") == "purchase", 1).otherwise(0)).alias("purchased"))

🎯 Mission Objectives

Practice typing production-grade PySpark code for Scenario: E-Commerce Funnel Conversion Analytics.

✓ Funnel conversion tracking
✓ Session step aggregation
✓ Stage-by-stage drop-off analytics

🚀 Start Mission

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