What features could Amperity add to its Identity Resolution capabilities to increase match accuracy across disparate data sources?

Introduction

To improve Amperity's Identity Resolution capabilities and increase match accuracy across disparate data sources, we need to carefully analyze the current product landscape, user needs, and technological opportunities. I'll outline a strategic approach to enhance this critical feature, focusing on user pain points, innovative solutions, and measurable outcomes.

Step 1

Clarifying Questions (5 mins)

• Looking at Amperity's position in the Customer Data Platform (CDP) market, I'm thinking about the scale and complexity of data sources they're dealing with. Could you provide more insight into the typical volume and variety of data sources our clients are integrating?

Why it matters: Determines the scope of our solution and potential technical constraints Expected answer: Handling 50+ data sources with billions of records for enterprise clients Impact on approach: Would focus on scalability and flexibility in matching algorithms

• Considering the evolving privacy landscape, I'm curious about how current regulations are impacting our identity resolution capabilities. Can you share how GDPR, CCPA, or other privacy laws are affecting our ability to match and resolve identities?

Why it matters: Influences the types of data we can use and how we can use it Expected answer: Increased restrictions on using certain identifiers, need for more robust consent management Impact on approach: Would prioritize privacy-preserving techniques and consent-based matching

• Given the critical nature of identity resolution in a CDP, I'm wondering about our current performance benchmarks. What are our current match rates and accuracy levels, and how do they compare to industry standards?

Why it matters: Establishes a baseline for improvement and helps set realistic goals Expected answer: 80% match rate with 95% accuracy, slightly above industry average Impact on approach: Would focus on incremental improvements and addressing specific edge cases

• Thinking about the competitive landscape, I'm interested in understanding our unique value proposition. What do our customers say sets Amperity's identity resolution apart from competitors like Segment or mParticle?

Why it matters: Helps identify areas of strength to build upon and weaknesses to address Expected answer: Strong in handling unstructured data, but lagging in real-time capabilities Impact on approach: Would prioritize real-time matching improvements while maintaining unstructured data strengths