高德地图的“空间围猎”:重构房产交易的“人、场、货”
Sou Hu Cai Jing·2026-01-02 11:57

Core Insights - The article discusses how Gaode Map, with its 940 million monthly active users, is transforming the real estate market by leveraging its location-based services (LBS) to capture "action traffic" rather than traditional "search traffic" [2][4] Group 1: Market Dynamics - Gaode Map is entering the real estate sector not as a traditional platform but as an infrastructure-level player, changing the rules of engagement in a market characterized by "sea tactics" and "traffic anxiety" [2] - Traditional real estate platforms rely on a centralized flow distribution mechanism, leading to resource wastage and poor service experiences due to competition among agents for the same pool of clients [4][6] - Gaode's approach focuses on capturing user behavior signals, allowing it to proactively predict demand rather than waiting for users to search for properties [3][4] Group 2: User Behavior and Decision-Making - The decision-making process for significant purchases like housing is heavily influenced by geographic location, with factors such as commuting distance and local amenities being critical [2][4] - 83% of users who visit properties utilize maps for spatial positioning or route navigation, indicating that maps play a crucial role in the transaction process [4] - Gaode's model allows agents to connect with "pure" new users who have not been approached by other intermediaries, creating a unique flow distribution that reduces client overlap [6][8] Group 3: Conversion Efficiency - Gaode's entry into the real estate market has resulted in significantly improved conversion rates, with some clients being able to schedule viewings or sign contracts on the same day, reducing the average conversion cycle by over 40% compared to traditional channels [6][8] - The dynamic recommendation system integrates property information seamlessly into navigation suggestions, minimizing the psychological distance from seeing information to establishing contact [8] - The article emphasizes that the future of commercial competition lies in accurately identifying and serving users' real behaviors rather than merely competing for their attention [8]