From conceptual design to delivery: How Pinterest is creating a sustainable model for contextual experiences
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labbydev
As the world’s leading visual discovery engine, Pinterest has built a reputation for surfacing intelligently curated, engaging, and relevant content that delights ‘Pinners’ around the world. In order to better anticipate user needs and deliver more relevant content, Pinterest and Phase2 set out to create a master data schema to capture and map user events across web properties. The result is a robust KPI and data-driven Drupal 8 platform that leverages Segment’s CDP to analyze customer data and create profiles that span the entire Pinterest brand.
Tracking user events at scale requires detailed planning, deliberate data design, and collaboration between technology, data, and content. In this talk, we’ll walk you through the best practices, tradeoffs, and lessons learned from building a sustainable infrastructure for unifying customer data.
Learning Objectives
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How to create a data-driven CMS that can quickly respond to user behavior
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Mass personalization best practices
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Lessons learned for schema setup and cross-application analytics
Target Audience
This session is for attendees interested in learning more about how to build a customer data platform or design and implement a mass personalization and content automation program.
Prerequisites
Attendees will get the most out of this session by being familiar with data schema modeling, user behavior analytics, and personalization.
Track
What's Next
Experience Level
Intermediate
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