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Introduction
Measuring the success of realtor.com's property listing search feature is crucial for optimizing user experience and driving business growth in the competitive real estate market. To approach this product success metrics problem effectively, I'll follow a structured framework that covers core metrics, supporting indicators, and risk factors while considering all key stakeholders.
Framework Overview
I'll follow a simple success metrics framework covering product context, success metrics hierarchy.
Step 1
Product Context
Realtor.com's property listing search feature is a core functionality that allows users to find and explore available real estate properties based on various criteria. Key stakeholders include potential homebuyers, sellers, real estate agents, and the realtor.com business team.
The user flow typically involves:
- Entering search criteria (location, price range, property type)
- Browsing search results and applying filters
- Viewing detailed property listings
- Saving favorites or contacting agents
This feature is central to realtor.com's strategy of connecting buyers with sellers and agents. Compared to competitors like Zillow or Trulia, realtor.com emphasizes accuracy and comprehensiveness of listings through its direct MLS relationships.
The product is in a mature stage but requires continuous optimization to maintain market position and adapt to changing user needs.
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