Introduction
To improve PubMatic's Identity Hub and better unify fragmented user IDs across platforms, we need to dive deep into the current state of the product, understand user pain points, and develop innovative solutions. I'll approach this challenge by first clarifying key aspects of the product, then analyzing user segments and their pain points, before proposing and evaluating potential solutions.
Step 1
Clarifying Questions
Why it matters: This will help us focus our improvements on the most critical functionalities. Expected answer: Identity Hub is primarily used for cross-device targeting and frequency capping. Impact on approach: We'd prioritize solutions that enhance these core use cases.
Why it matters: This will help us gauge the scale of the problem and set realistic improvement targets. Expected answer: Currently achieving 60-70% unification rate. Impact on approach: If low, we'd focus on improving the core matching algorithm; if high, we'd look at edge cases and expanding coverage.
Why it matters: This will help us align our solution with the company's strategic goals. Expected answer: We're aiming to differentiate and become the market leader in identity resolution. Impact on approach: We'd focus on innovative, unique solutions rather than just matching competitor features.
Why it matters: This will help us ensure our solutions are compliant and future-proof. Expected answer: We're limited in the types of data we can use and how long we can store it. Impact on approach: We'd need to focus on privacy-preserving techniques and consider first-party data strategies.
Let's take a brief moment to organize our thoughts before moving on to user segmentation.
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