Episode description

Highlights from this week’s conversation include:

• Welcome Back, Lew (0:14)
• Recap of Previous Discussion (1:03)
• Benefits of Hashing Information (2:33)  
• Using Hashes for Data Context (4:24)
• Hashing and Query Parameters (7:24)
• Static Values for Hashing (11:10)
• Identity Resolution in Data Attribution (14:36)
• Methodologies for User Tracking (16:37)
• Combining Data Sources for Attribution (21:13)
• Understanding Data Gaps (25:25)
• Defining Objectives and KPIs (27:50)
• Identity Resolution Challenges (28:46)
• User and Session Stitching (32:01)
• Trusting Ad Platforms (35:23)
• Defining Attribution (38:09)
• The Credit Dilemma (40:18)
• First Touch Attribution Explained (41:47)
• Linear Attribution Model (43:21)
• B2C and B2B Attribution Scenarios (45:22)
• Timeframes in Attribution (47:29)
• Understanding Lookback Windows (49:34)
• Google Analytics Changes (51:20)
• Attribution After Conversion (53:26)
• Online vs. Offline Attribution (55:49)
• Discipline in Tracking (58:52)
• Challenges in Coordination (1:00:12)
• QR Codes and Data Integration (1:01:55)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.