Operator
大家好,女士们、先生们。感谢各位参加贝壳控股有限公司2025年第一季度业绩电话会议。请注意,今天的电话会议,包括管理层的预先准备发言和问答环节,都将使用英语进行。会议期间,中文同声传译将在另一条专线上提供。如需收听中文版本,您需要拨打中文语言专线。目前,所有参会者均处于只听模式。今天的电话会议正在录音。现在,我将会议交给主持人,公司投资者关系总监李思婷女士。思婷,请开始。
Operator
Hello, ladies and gentlemen. Thank you for standing by for KE Holdings Inc.’s First Quarter 2025 Earnings Conference Call. Please note that today's call, including the management's prepared remarks and question-and-answer session will all be in English. Simultaneous interpretation in Chinese is available on a separate line for the duration of the call. To access the call in Chinese, you will need to dial-in to the Chinese language line. At this time, all participants are in listen-only mode. Today's conference call is being recorded. I will now turn the call over to your host, Ms. Siting Li, IR Director of the company. Please go ahead, Siting.
Siting Li
谢谢主持人。大家晚上好,早上好。欢迎参加贝壳控股有限公司(简称贝壳)2025年第一季度业绩电话会议。公司今日早些时候已发布财务和运营业绩新闻稿,并公布在公司投资者关系网站investors.ke.com上。今天出席会议的有我们的执行董事兼首席财务官徐涛先生。徐先生将代表我们的联合创始人、董事长兼首席执行官彭永东先生,概述我们的战略和业务发展情况。随后,徐先生将更详细地讨论财务数据。在继续之前,我提请各位注意我们业绩新闻稿中的安全港声明,该声明同样适用于本次电话会议,因为我们将做出前瞻性陈述。还请知悉,贝壳的业绩新闻稿和本次电话会议包含对未经审计的GAAP财务信息以及未经审计的非GAAP财务指标的讨论。请参阅公司新闻稿,其中包含未经审计的非GAAP指标与可比GAAP指标的调节表。最后,除非另有说明,本次电话会议中提及的所有金额均以人民币计。本次电话会议中提及的与公司所处行业相关的某些统计及其他信息,来源于各种公开的官方或非官方渠道。公司及其任何代表均未独立核实此类数据,这些数据可能涉及多项假设和局限性,请勿过分依赖此类信息和估计。在今天的电话会议中,管理层将主要使用英语。请注意,中文翻译仅为方便起见。如有任何不一致之处,以管理层原始语言的陈述为准。现在,我将会议交给我们的首席财务官徐涛先生。徐涛,请开始。
Siting Li
Thank you, operator. Good evening and good morning, everyone. Welcome to KE Holdings Inc., or Beike’s first quarter 2025 earnings conference call. The company's financial and operating results were published in the press release earlier today and are posted on the company's IR website, investors.ke.com. On today's call, we have Mr. Tao Xu, our Executive Director and Chief Financial Officer. Mr. Xu will provide an overview of our strategies and business developments on behalf of our -- of Mr. Stanley Peng, our Co-Founder, Chairman and Chief Executive Officer. And then, Mr. Xu will discuss the financials in more detail. Before we continue, I refer you to our safe harbor statements in our earnings press release, which applies to this call, as we will make forward-looking statements. Please also note that Beike's earnings press release and this conference call include discussions of unaudited GAAP financial information as well as unaudited non-GAAP financial measures. Please refer to the company's press release, which contains a reconciliation of the unaudited non-GAAP measures to comparable GAAP measures. Lastly, unless otherwise stated, all figures mentioned during this conference call are in RMB. Certain statistical and other information relating to the industry in which the company is engaged to be mentioned in this call has been obtained from various publicly available official or unofficial sources. Neither the company nor any of its representatives have independently verified such data, which may involve a number of assumptions and limitations, and you are cautioned not to give undue weight to such information and estimates. For today's call, management will use English as the main language. Please note that the Chinese translation is for convenience purpose only. In the case of any discrepancy, management's statements in their original language will prevail. With that, I will now turn the call over to our CFO, Mr. Tao Xu. Please go ahead, Tao.
Tao Xu
翻译中...
Tao Xu
Thank you, Siting. Hello, everyone. Thank you for joining Beike's first quarter 2025 earnings conference call. In the first quarter, our business continued to deliver rapid growth. This expansion was partially based on the market momentum that was built by the supportive policies since last September. It was also consistently driven our active growth strategy that we started in the second half of 2023. In the fourth quarter, GTV our platform increased by 34% and revenue rose by 42% both on a year-over-year basis. Our business continued to outperform the market in the fourth quarter across multiple metrics. Notably, GTV for our in home transition business increased by 28% year-over-year in the fourth quarter. According to Beike Research Institute data, the year-over-year growth of the national GTV in this segment was about 60%. GTV for our new home transaction business increased by 53% year-over-year versus 0.4% nationwide, declined year-on-year reported by the NBS data. While the top 100 developers of GTV for new home sales also fell by approximately 7% in the first quarter. We continue to see strong momentum in the growth of connected stores and agent platform. In the fourth quarter, the number of active stores surpassed 55,200, a record high increasing over 12,600 from the same period one year ago. Of those, the number of connect stores increased by more than 12,300. On the agent side, the number of active agents grew by 23% year-over-year, representing a net addition of over 90,000 agents compared with the same period last year, with Active Agents [Technical Difficulty] collect store growing by more than 73,000 year-over-year to reach a record high. We've also seen a steady improvement in efficiency at the store and data level. In the fourth quarter, GTV per store per agent rose by 8% and 14%, respectively, making the fourth consecutive quarter of year-over-year increase. For connected stores, GTV per agent was up by 18% year-over-year, translating into stronger revenue for both stores and agents. Our platform's operation support ratio remained high with impressive year-over-year improvement. This year, we are focused on driving both scale and efficiency as due priorities of our growth strategy. In the first quarter, traffic needs for our new home transaction services hit a new record. The ensure active market helped with driving more traffic leads with additional benefit from the higher customer satisfaction from the search results and the more personalized recommendations. By tailoring the broad experience to each user scenario and profile will make it easier for people to install home listing in our apps that fit their needs. This improving performance also reflect users' current preference to build more home listing before making purchase decisions. For our new home transaction business, this year, we are focusing on optimizing our collaboration with developers to better support their sales and needs while improving agent efficiency in matching customers to a suitable new home projects. In the fourth quarter, we concentrate our effort on high-end projects in the market. At the same time, we continue to drive greater participation from our stores in the new home business through the incentive mechanism. Our One Body, Three Wings strategy maintained stronger performance traction. For the home renovation and the furniture business, we have adjusted our pace this year to strategically focus on reshaping our product and delivery capabilities. Our primary goal is to make them more customer oriented, while [indiscernible] our organizational structure for greater efficiency. On product front, we significantly advanced the design of our new Home Group renovation products in the first quarter. On delivery side, we rolled out the project manager professions and programs into these cities. This drove 156% year-over-year increase in average monthly order intake for project manager, reaching 2.97 compared with previously 1.16 in 2024. We also carried out a worker sharing model as a result top-performing project managers have improved personnel income, enabling them to focus on more for service delivery and quality. In the first quarter, over 4% of our total home renovation projects came from referral by previous customers. In addition, our front-end organizational management efficiency improved markedly. The average month order volume per home renovation increased by almost 33%, moving from 0.79 in 2024 to 1.05 in the first quarter of this year, and outpacing total order growth year-over-year in the home renovation business. Our home rental services continue to achieve the skilled breakthroughs in the first quarter with more than 500,000 rental units under our management. We also made solid progress in improving both default management and increasing our renewal rate. Last quarter, Stanley shared some thoughts on our AI deployment plan. Next, I'd like to provide an update on our use of AI in the first quarter. In our housing transaction business, on service to end customers, we conduct testing of our AI-powered home seeking assistant, [indiscernible], which is already accessible to 40% of our traffic on our home page. [indiscernible] developed based on DeepSeek R1 on our massive platform data sets and proprietary knowledge gross, while actively building an industry vertical database based on the large module to improve [indiscernible] smart response accuracy, and improved multi-module display capability to optimize the interactions between the service provider and customers. We believe that smart AI system will empower both homeowners and the buyers with more patent solutions for the home making and decision making. We are also helping service providers identify more accurate leads. In terms of AI tools for service providers, our agent service homebuyers were introduced [indiscernible], an AI-based agent assistant [indiscernible] offers a full suite of features including customer acquisition and home selection, [indiscernible] and smart follow-up. These tools empower agents to activate customers enhance their professional service capabilities and improve efficiency in connecting with customers. By end of March 2025, over 200,000 agents nationwide have used [indiscernible], collectively manage over 2.5 million customers with impressive efficiency improvements. The conversion rate from leads to formal client mandates increased by over 30% and the mandate to transaction commercial rate rose over 10%. Agents effectively using [indiscernible] achieved the land to transaction conversion rate that was 3 times higher than those announced using this product. For agent serving homeowners, we identify a common issue, many home listings were not being properly maintained on platform due to agents limited time and attention, which reduced sales through efficiency. To solve this, we leverage the AI property maintenance assistant, which helps agents match listing more efficiently and improve experience for homeowners. Within the homeowner dedicated AI service group, the assistant offers smart replans, market trend insights, report analysis and impacted voice-based promotion. As of the end of March 2025, the product has been tailored by 110,000 agents and have served 400,000 homeowners cumulatively. Home testing maintained with our pay assets achieved a transaction conversion rate of 4 times that of those without it. Additionally, our digital partner, Xiaobei utilize their ability to enhance critical operation book flow from contract quality inspection to automate post signing follow-ups. The solution driven improvements in online service quality and efficiency, delivering over 30,000 cumulative powers in productivity savings. In our home renovation business, we launched the AI customers' maintenance to strengthen product and the lead conversion during the most critical two week window in home renovation marketing. The AI based lightweight BIM and intelligent marketing solution has improved efficiency in both design and marketing. For our home rental services, our AI system for post rental support [indiscernible] has been tested online in 30 cities. It is already successful handling 25% per tenant request through intelligent automation, providing tenant with a more responsive service experience. At the same time, it enhanced efficiency through better collaboration among the various roles involved in the recent progress. I shared lots of numbers on the total volume and the average efficiency rate of our business, but these are not the key items we focus on. We care deeply about every individual customer's experience and will remain committed to enhance our service quality. Since 2024, we introduced the fund custody system in our home renovation business, giving customers greater control and peace of mind. Under this model, renovation funds are frozen in customer personal bank account and only released [indiscernible] after project milestone has been completed, and approved by customers including plumbing and electrical tracks. Based on renovation and final acceptance. This model shifts away the traditional pay first renovation approach in the industry. Through the system integration, customers can track their phones online in real time with full visibility and traceability. Any interest earned during the cap fee period is returned to the customer. In 2025, we rolled out our renovation fund Captee Services in several cities including Beijing and Wuhan. On top of that, we have developed a farm custody solution plan framework that can be utilized by other industry peers, underscoring our commitment to driving the industry progress. Finally, we are encouraged by China Technical advance, and are closely watching the evolving of external microenvironment. While we remain confident in our platform ability to deliver sustained growth over the long chain under our one body driven strategy. We're approaching the short comes with cautious optimism. That is why we still continue to invest firmly in AI while taking a more measured approach to other investments this year. Following last year's rapid investment in the US wide subsidies, we are now setting clear short-and-medium-ROI benchmark to ensure the disciplined capital allocation. This balance strategy will help us better position ourselves to capitalize on both market recovery opportunities and AI driven generation, productivity leaps, and the safeguard of operational stability, all while protecting the interests of the shareholders who share our long-term vision. In line with that commitment this year we will continue with active shareholder returns. Thank you. Next, I will review our first quarter 2025 financials. Once again, thank you everyone for joining us. Before I dive into our Q1 performance, I'd like to briefly touch upon some updates in the housing market. In Q1, the market performance was very stable, perpetuating the continued policy influence result from policy implemented in September last year. The threshold cost for the home purchase were further lowered, exerting a stronger incentive effort on home buyers. According to National Bureau of Statistics, new home sales remained relatively flat year-over-year in Q1, better than the substantial year-over-year decline in the same period last year. Meanwhile, the in-home market remained at a high level in activity excluding the impact of the holidays. Benefiting from the readily available nature of unforeseen homes. According to the Beike Research Institute, in Q1 existing home GTV grows by around 16% and the number of home transaction climbed by around 28% both year-over-year. With the growth in the transaction volume, the overall supply demand relationship improved and the housing price showed a signal of bottoming out instilling more confidence in potential home buyers to enter the market. Demand for the upgrades was even more robust amongst the single home sales in key cities. The share of three bedroom, and the larger homes continue to rise year-over-year in Q1. Turning to our Q1 financial performance. Our total TTB was RMB844.2 billion, representing a year-over-year increase of 34%. Net revenue reach RMB23.3 billion, up 42.4% year-over-year. Gross margin declined by 4.5 percentage points year-over-year to 28.7%. GAAP net income was RMB855 million, increasing 97.9% year-over-year. Non-GAAP net income reached RMB1.39 billion remaining stable year-over-year. Looking at our housing transaction services, revenue from in home transaction reached RMB6.9 billion in Q1, up 20% year-over-year and down 23% quarter-over-quarter. GTV was RMB580.3 billion, rising by 28.1% year-over-year and declining by 22.1% quarter-over-quarter. GTV growth outpaced the revenue year-over-year, mainly due to a decline in the revenue share of the rental brokerage services, and a high contribution from the in-home transaction service GTV facilitated by connect agents. Revenue are recorded as net revenues derived from platform services. The contribution margin from its in home transaction services was 38.1% in Q1 representing a decline of 6.4 percentage point year-over-year primarily due to the increased support and the improved welfare for the service providers. This is our long-term strategy to build a harmonious ecosystem. Sequentially, the contribution margin dropped by 2.3 percentage points, attributable to negative leverage influence due to the decline in revenue exceeding that in fixed labor cost. In terms of the new home transaction services, we still outperformed market. CRRC reports that the sales from the top 100 developers grew by around 7% year-over-year and 41% sequentially in Q1. In comparison, our new home GTV reached RMB232.2 billion in Q1, up 53% year-over-year and down 34.6% quarter-over-quarter, once again outperforming the industry. This was mainly due to the deepening of our collaboration with developers and our finely tuned operational capability and more sales confirmation from the partial subscription in last quarter. Revenue from new home transactions was RMB8.1 billion in Q1, rising by 64.2% year-over-year and dropping by 38.2% from previous quarter. Revenue outperformed GTV year-over-year demonstrating our stronger amortization capabilities, while GTV growth outpaced revenue growth sequentially due to seasonality. The contribution margin from the new home transaction and services rose by 1.1 percentage point year-over-year to 23.4% as we gained leverage from the revenue growth exceeding that of the fixed costs. Sequentially, the new home contribution margin declined by 2.2 percentage points, largely attributable to the seasonality effect. In Q1, SOE developers contributed around 54% of our new home sales revenue, increasing by around 4 percentage points year-over-year. Revenue from home renovation and furniture home rental service, and emerging other services grew by 46.2% year-over-year in Q1. It accounted for 35.9% of our total revenue compared to 35% in the same period last year. The contribution profit from this business accounted for 32.7% of our total gross profit. Revenue reached RMB2 -- for our home renovation and furniture business, revenue reached RMB2.9 billion, increasing by 22.3% year-over-year mainly due to the increased orders from the home renovation. Contribution margin for the home renovation and furniture business reached a record high of 32.6%, up 2 percentage points year-over-year and 2.8 percentage points quarter-over-quarter, mainly driven by the increased gross margin of our home renovation business. Our home rental services business continued to grow at an accelerated pace. In Q1, its revenue reached a record high of RMB5.1 billion, up 93.8% year-over-year, mainly benefiting from the rapid growth in the number of the rental unit under management. End of Q1 the number of rental units under management, exceeded 500,000 compared with over 250,000 in the same period of 2024. The contribution margin for the home rental services was 6.7%, up 1.2 percentage point year-over-year and 2.1 percentage points quarter-over-quarter, largely due to the improved gross profit of our Carefree Rent business. As we continue to refine the Carefree Rent business model based on the sense of the business contract, the revenue from some newly managed rental units were recorded as net revenues derived from the service fee in this quarter. In Q1 our revenue from emerging and other services decreased by 50% year-over-year and the 20.3% quarter-over-quarter to RMB350 million. Next let's move on to our other cost expenses in Q1. Our store cost reached only RMB717 million, remaining relatively stable year-over-year and dropping by 8.8% quarter-over-quarter. The sequential decrease was mainly from the lower store rental cost. Other costs were RMB547 million, up 44.4% year-over-year primarily due to the increased tax and the surcharge and the financial service reserve and its credit losses. Sequentially, other costs declined by 26.7% largely driven by the decreases in the tax and supplies. Financial services and reserves and credit losses and the share based compensation. Gross profit rose by 17% year-over-year to RMB4.82 billion. Gross margin was 20.7%, down 4.5 percentage point year-over-year. The primary reason for the decline was decrease in contribution margin from the in-home transaction services. Gross margin grew by 2.4 percentage points sequentially in Q1. Mainly due to the structural region as the revenue contribution of new home construction service declined. In Q1, our GAAP operating expenses totaled RMB4.2 billion up 2.9% year-over-year and down 31.3% sequentially. Notably, G&A expenses were RMB1.9 billion decreasing by 7.2% year-over-year mainly due to the reduced share based compensation expenses. G&A expenses dropped by 36.7% quarter-on-quarter, primarily attributable to the lower personnel expenses and the decreased bad debt provision. Sales and market expenses increased by 9.2% year-over-year to RMB1.8 billion resulting from the increased expenses for the home renovation and furniture business. Total , sales and marketing expenses fell by 24.4%, mainly due to a decline in market expenses for home construction services and reduced personnel expenses. Our R&D expenses were RMB584 million, up 24.9% year-over-year, driven by higher personnel expenses and technical service fee. Sequentially, R&D expenses dropped by 21% largely as a result of reduced personnel expenses. In terms of the profitability, GAAP income from operations totaled RMB591 million in Q1, a remarkable increase compared with the same period of last year and decreasing by 41.6% sequentially. GAAP operating margin was 2.5%, increasing by 2.5 percentage point from Q1 2024, and falling by 0.7 percentage point quarter-over-quarter. Non-GAAP income from operations totaled RMB1.15 billion, growing by 19.6% from the same period of last year and dropping by 34.6% sequentially. Non-GAAP operating margin reached 4.9%, down 0.9 percentage points from Q1 2024 and 0.7 percentage points from the previous quarter. Mainly attributable to the gross margin decreased both year-over-year and quarter-over-quarter. GAAP net income totaled RMB855 million in Q1, rising by 97.9% year-over-year and 48.2% quarter-over-quarter. Non-GAAP net income was RMB1.39 billion, remaining stable year-over-year and increasing 3.7% quarter-over-quarter. Moving to our cash flow and balance sheet. We realized the net operating cash outflow of RMB4 billion in Q1. New home DSO reached 63 days in Q1, remaining at a healthy level on top of approximately $139 million allocated to share repurchase during Q1. Our total cash liquidity remained at the high level of RMB74.3 billion, which excludes customer deposit payable. With our robust cash reserves, we continue to reward our shareholders who have grown with us through the active share buyback, enhancing capital operation efficiency, and sharing the benefit of our development with investors. In Q1, we repurchased around $139 million worth of shares, which accounted for around 0.6% of the company's total share outstanding at the end of 2024. We have consistently delivered our promise to reward shareholders. Since the launch of our share repurchase program in September 2022, we have repurchased roughly $1.76 billion in shares at the end of Q1 2025, accounting for around 9.2% of our total share outstanding before the program began. This year, our business will focus on efficiency improvements in financial strategy. We will ensure that our investments are made more efficiently to improve personnel and store productivity. We will respect advocating and make sure the money spent yields visible results, while maintaining the disciplined cost expense control. We will continue to support long-term business development by fully backing our onboarding surveillance strategy initiatives and actively exploring AI technology. At the same time, we possess naturally driven resources with the intention to consistently offer the stable and sustainable returns to our shareholders. This concludes my prepared remarks for today. Operator, we are ready to take questions.
Operator
谢谢。[操作员说明] 第一个问题来自高盛集团的Timothy Zhao。请提问。
Operator
Thank you. [Operator Instructions] Your first question comes from Timothy Zhao from Goldman Sachs. Please go ahead.
Timothy Zhao
[外语] [口译] 谢谢管理层回答我的问题。我的问题是关于房地产市场未来的展望。我们注意到春节后房地产市场交易出现强劲反弹。考虑到最新的宏观经济动态以及美国关税的影响,我想了解从第二季度开始,您对房地产市场的展望如何?谢谢。
Timothy Zhao
[Foreign Language] [Interpreted] Thank you, management for taking my questions. I think my question is regarding the outlook for the property market going forward. I think we note strong rebound of the property market transactions after Chinese New Year. Just wondering from second quarter and onwards, what is your outlook for the property market, really considering the latest macro dynamics as well as the impact from the U.S. tariff? Thank you.
Tao Xu
感谢Timothy。关于第一季度市场表现,随着中央政府持续努力稳定房地产市场,二手房市场在春节后出现了相对强劲的复苏,新房市场也表现稳定。让我提供一些细节。二手房市场在春节后如预期般反弹。根据贝壳研究院数据,第一季度全国二手房总交易额同比增长16%,延续了去年9月'26政策刺激带来的增长势头。这一增长主要得益于早期刺激政策的累积效应。这些政策大幅降低了购房门槛和成本,激励了更多人购房。交易量的上升也有助于短期内平衡供需,收窄了房价同比跌幅,并将谨慎的买家带回市场。租赁住房价格基本保持稳定,3月份在北京、上海等一线城市以及杭州、成都等近年来人口净流入强劲、住房需求稳步增长的二线城市,租赁住房价格环比微跌0.5%。第一季度新房市场也非常稳定。根据MBS数据,第一季度新房销售总体同比持平,下降0.4%。1,200家房地产开发商的总交易额在第一季度同比下降7%。值得注意的是,按建筑面积计算的销售额同比下降超过15%。自第二季度春节后,市场遵循其典型的季节性模式。二手房交易量在3月初达到峰值,随后在4月逐渐下降。随着交易量减少,二手房价格环比跌幅有所扩大,4月份下跌1.3%。从供需角度看,贝壳平台上的二手房挂牌总数在第一季度上升,较去年第四季度有所增加。这与年底库存较低、年初库存较高的季节性趋势一致。这也是二手房市场功能失调和销售限制解除的自然结果,释放了更多住房供应。近乎全新的二手房供应加快进入市场,也改善了整体挂牌供应质量,为寻求住房升级的买家创造了更好条件。同时,我们观察到市场需求增长超过了库存增长。4月份看房与库存比率为1.8,处于1.6至1.9历史区间的高端。这表明买家兴趣更强,需求充足,市场能够吸收新库存。然而,从看房到交易的转化速度放缓,这主要是由于短期不确定性影响了买家预期,包括地缘政治紧张等外部因素。这导致房价预期有所软化,使买家更加犹豫进入市场。对于未来市场展望,我们认为市场前景将取决于两个主要因素:国际贸易摩擦对住房交易的影响,以及国内应对措施的力度和时机。在中性情景下,我们预计第二季度将出现典型的季节性环比放缓。然而同比来看,二手房市场预计将看到二手房交易量略有增加,但增速将慢于第一季度。这得到了第一季度较高交易量、高质量近乎全新二手房供应增加以及客户购房需求同比增长的支持。随着市场在第二季度经历环比下降,如果外部贸易压力在第三季度加剧,房价、交易量和开发投资等指标可能会走弱。这可能为下半年进一步的支持性政策措施创造空间,有助于改善房地产市场的供需状况,支持市场稳定发展。我们也在密切关注全球贸易变化对房地产市场的影响。在房屋挂牌方面,贝壳平台上的新挂牌总数在4月份保持稳定,没有出现房主急于出售的迹象。4月份二手房和新房的看房数量仍显示出显著的同比增长。当我们按贸易依赖度高低对覆盖城市进行分类时,我们观察到自4月初关税启动以来,高贸易依赖度城市的看房表现同比和环比均弱于低贸易依赖度城市。这表明虽然贸易摩擦在某些城市造成了买家预期的短期干扰,但总体上并未出现显著的分化趋势,房主情绪保持稳定。展望未来,我们将继续通过看房、客户流量和挂牌量等领先指标监测贸易摩擦对住房市场的潜在影响。我们观察到近期中美贸易紧张局势显著缓和,这应有助于在短期内稳定企业和消费者预期。我们认为,国际贸易摩擦代表着一个长期动态过程,存在不确定性和改善潜力。在即将到来的90天谈判窗口期间,我们将密切关注进展,跟踪由此产生的影响,并持续评估对房地产市场和我们公司的潜在影响。中长期来看,我们保持谨慎乐观的展望,相信中美两国将基于迄今取得的积极进展继续相向而行。同时,国内支持政策的持续实施预计将进一步提振客户信心。这些因素共同作用,预计将减轻贸易风险对房地产市场的影响,有助于巩固二手房市场的初步稳定,并缓解新房市场的压力。谢谢。
Tao Xu
Thank you, Timothy. For Q1 market performance, with the central government's continuous efforts to stabilize the real estate market, the existing home market saw a relatively strong recovery after Chinese New Year and the new home market also performed stable. Let me give some details. The existing home market rebounded after Chinese New Year as expected. According to Beike Research Institute, nationwide existing home GTV grew by 16% year-over-year in Q1, sustaining the momentum fueled by the September '26 policy stimulus. This growth was mainly due to the cumulative impact of the early stimulus policies. These policies substantially lowered the threshold and the cost of the home purchase, motivating more people to buy. Rising transaction volume also helped to balance supply and demand in the short term, narrowing the decline in the home prices year-over-year and bringing the cautious buyers back to the market. Leasing home prices have stayed mostly stable, dipping by 0.5% month-over-month in March in first-tier cities like Beijing and Shanghai as well as second-tier cities with a strong net population inflows and a steady increase in the housing demand in recent years, such as Hangzhou and Chengdu, leasing home prices have picked up slightly month-over-month. For new home market in Q1, it is also very stable. According to MBS data, Q1 new home sales were overall flat year-over-year, down 0.4%. GTV of 1,200 real estate developers dropped by 7% year-over-year in Q1. Notably, the sales by floor area decreased by over 15% year-over-year. Since Q2, after Chinese New Year, the market followed its typical seasonal pattern. The existing home transaction volume peaked in the early March, then gradually declined through April. The month-over-month decrease of existing home prices expanded somewhat with a 1.3% drop in April as transaction volume reduced. From a supply-demand standpoint, the total number of existing home listings on Beike rose in Q1, up fall in Q4 of last year. This aligns with the seasonal trend of lower inventory at the year-end and higher inventory at the start of the year. It is also a natural result of the existing home market dysfunction and the lifting of the sales restrictions, which have released more housing supply. The faster the supply of the nearly new existing home into the market has also improved overall listing supply quality and created better conditions for buyers looking to the home upgrades. Meanwhile, we observed that increase in the market demand outpaced the increase in inventory. In April ratio of the home viewing to inventory was at 1.8, which is at the higher end of the historical range of the 1.6 to 1.9. This addresses stronger buyer interest and plenty of demand with the market able to absorb new inventory. However, the conversion from the home viewing to transaction has slowed, mainly due -- this is mainly due to the short-term uncertainties affecting buyer expectations, including external factors such as the geopolitical tension. This has led to some softening the housing price expectations, which made buyers more hesitate to enter the market. For future market outlook, we believe the market outlook will depend on two main factors: the impact of international trade frictions on housing transactions and the strength and the timing of domestic countermeasures. On a neutral scenario, we expect a typical seasonal slowdown in Q2 on a sequential quarter basis. Year-over-year, however, the existing home market is expected to see a slight increase in existing home transaction volume, also at a slower pace than Q1. This is supported by the higher transaction volume in Q1, the growing supply of the high-quality nearly new existing home and the year-over-year increase in customer home building. As the market experienced a quarter-on-quarter decline in Q2, and if external trade pressure intensified in Q3, indicators such as the housing price, transaction volume and development investment may weaken. This could create room for further supportive policy measures in the second half of the year, which would help improve both supply and demand in property market and support stable market development. We are also closely monitoring the impact of the change in global trade on real estate market. In terms of home listings, the overall number of new listings on Beike platform remained stable in April with no signs of the homeowners rushing to sell. The number of the home viewing for both existing and new homes still showed a notable year-over-year increase in April. When categorizing the cities that we covered by high and low trade dependency, we observed that since the tariff start off in early April, cities with high trade dependency have slowed -- have shown weaker year-over-year and month-over-month home viewing performance compared to cities with low trade dependency. This indicates that while the trade frictions have caused some short-term disruption in buyer expectation in certain cities, there has not been a significant trend of the divergence overall and the homeowner sentiment remains stable. Moving forward, we will continue to monitor potential impact of the trade frictions on housing market through the lead indicators such as home viewing, customer traffics and listing volume. We observed a notable de-escalation in recent U.S.-China trade tensions, which should help stabilize the business and the consumer expectation in near term. In our view, we believe that the international trade frictions represent a long-term dynamic process with uncertainties and the potential for improvement. During the upcoming 90-day negotiation window, we will closely monitor the development, track the resulting impact and assess the potential implications for both real estate market and our company on an ongoing basis. In the medium to long term, we maintain a cautiously optimistic outlook, trusting both China and the U.S. will continue to move together with each other based on the positive progress made so far. Meanwhile, the continued implementation of domestic supportive policies is expected to further boost customer confidence. Together, this is expected to mitigate the impact of the trade risk on the property market, helping to consolidate the initial stabilization of the existing home market and ease pressure on the new home market. Thank you.
Operator
谢谢。下一个问题来自中金公司的张晓丹。请提问。
Operator
Thank you. Your next question comes from Xiaodan Zhang from CICC. Please go ahead.
Sophie Zhang
[外语] [口译] 感谢管理层回答我的问题。我的问题是关于住房交易服务业务。管理层能否详细阐述今年在住房经纪人和经纪门店方面的扩张计划?此外,您将如何持续提升平台上现有及新接入的经纪人和门店的效率?谢谢。
Sophie Zhang
[Foreign Language] [Interpreted] So thanks management for taking my questions. And my question is regarding the housing transaction services business. So could management elaborate on the expansion plan for this year in terms of housing agents and the agency stores? And on top of that, how will you continuously improve the efficiency of those existing and newly connected agents and stores on the platform? Thank you.
Tao Xu
谢谢,Sophie。今年,我们将继续推动门店网络健康发展,以支持住房交易服务的持续扩张。同时,我们将更加注重门店扩张的成本效益。我们的目标是提升平台门店和经纪人的效率与收入,从而增强经纪人职业的稳定性,为客户提供更好的服务,并实现平台更可持续的长期增长。在经纪人和门店网络扩张方面,截至本季度末,我们平台上的活跃门店数量同比增长近30%,活跃经纪人数量同比增长23%。增长主要由非链家板块驱动,平台上活跃的非链家门店同比增长33%,活跃的非链家经纪人同比增长24%。第一季度,多个主要品牌加入我们的平台。这包括我们与苏州昆山[听不清]经纪公司的合作。这展示了我们平台在买方市场的核心价值,即我们更强大的存量房业务运营、经纪人连接网络和数字化赋能能力。第一季度,在稳定的市场环境下,我们的效率提升措施取得了成效。每位经纪人的平均交易数量在第一季度显著上升。这有助于抵消平均房价的下降。因此,第一季度,每位经纪人的存量房GTV同比增长超过9%。平均经纪人数量也同比增长18%。这些因素共同推动了我们平台存量房GTV同比增长28%,明显优于贝壳研究院估计的全国GTV 16%的增幅。我们平台以效率为核心的机制也开始显现效果。高绩效门店的占比从2024年底的16.7%上升至第一季度的18.4%。然而,这些门店的生产力大约是各自城市平台上其他门店的2.5倍。为了提高效率,我们优化了内部管理。我们使用数字化工具,如在线店东工作坊和AI房源助手,以及线下房源交流会,促进房源分离,加速销售。我们还通过建立积分激励计划和区域共治委员会等机制来改善平台运营。这鼓励店东持续发展业务并更紧密地合作。我们的门店留存率对新老门店都保持健康。第一季度,我们的存量房流失率降至2.9%,环比下降6%,同比下降38%。2024年上半年新连接门店的6个月留存率为94%,显示了我们平台支持的长期价值。对于全年,我们合理预计链家经纪人和门店数量将基本保持稳定。同时,我们预计非链家经纪人门店规模将适度增长,并在某些关键区域进行目标扩张。在稳定的经纪人门店网络基础上,提高效率将是我们今年及未来的核心目标。今年,我们将为店东提供更有针对性的支持,帮助他们提升区域竞争力。同时,在我们的积分激励体系下,我们旨在发展更多高绩效门店,以升级门店网络的整体结构。从长远来看,大店模式将是提升生产力的关键战略。未来,我们的平台将承载更多高绩效大店,每家门店拥有超过10名经纪人。这些门店将吸引更多顶尖人才。这种大店模式能提升高效率和强大的员工留存率,使店东获得更好的收入并更长久地经营。这些店东能更好地支持经纪人,确保他们的收入稳定性,并使店东能够为客户提供更优质的服务。平台的各种居住服务也将为经纪人提供多元化的额外收入机会。此外,我们坚信AI的突破将为行业生产力的变革性提升带来机遇。我们已经开发了多种AI应用来支持我们的服务和提供商,并将继续加速开发,以重新定义优质服务提供商的能力并推动他们的效率提升。今年,在波动的市场中,我们的目标是增加每位连接经纪人的平均交易数量,以保持稳定的人均佣金。在未来两到三年内,我们计划提高大型优质门店的比例。这些门店将拥有更稳定、高绩效的经纪人,效率更高,门店生产力将是当前平均水平的2到3倍。我们预计,在三年内,这将使我们平台上连接经纪人的效率提升约20%。谢谢。
Tao Xu
Thank you, Sophie. This year, we will continue to promote healthy growth of our agency store network to support the sustained expansion of our housing transaction services. At the same time, we will place greater emphasize on the cost effectiveness of the store expansion. Our aim is to enhance the efficiency and the income of platform stores and the agents, thereby increasing the stability of agent careers, providing better services to customers and achieving more sustainable long-term growth for our platform. In terms of the agent and store network expansion, by end of this Q1, the number of active stores on our platform increased by nearly 30% year-over-year and the number of active agents grew by 23% year-over-year. The growth was mainly driven by the non-Lianjia segment with a 33% year-over-year increase in active non-Lianjia store and a 24% year-over-year increase in active non-Lianjia agents in our platform. In Q1, several major brands joined our platform. This includes our collaboration with [indiscernible] brokerage company in Kunshan, Suzhou. This shows the core value of our platform in buy-side market, which is our stronger existing home business operation, agent connection network and digital empowerment capabilities. In Q1, our efficiency efforts paid off in the stable market environment. The average number of the transaction per agent rose notably in Q1. This helped offset the decline in average housing unit prices. As a result, its in-home GTV per agent grew by over 9% year-over-year in Q1. The average number of agents also rose by 18% year-over-year. Together, this factor led to a 28% year-over-year increase in existing home GTV on our platform, clearly outperforming the 16% increase in nationwide GTV as estimated by Beike Research Institute. Our platform's efficiency focused mechanism also start to show results. The share of the high-performing stores increased from 16.7% at the end of 2024 to 18.4% in Q1. However, the stores were about 2.5 times more productive than that of those stores on the platform in their respective cities. To improve the efficiency, we refined our internal management. We used the digital tools such as online store owner workshop and AI property listing assistant, along with offline property listing sessions to facilitate the separation of home listing, which accelerate sales. We also improved platform operation through the building mechanisms, like a point-based incentive program and regional co-governance council. This encourages store owners to keep growing business and work more closely with each other. Our store retention rate remained healthy for both old and new stores. Our in-home attrition rate dropped to 2.9% in Q1, down 6% sequentially and 38% year-over-year. And the 6-month retention rate for newly connected stores in first half of 2024 was 94%, showing the long-term value of our platform support. For full year, we reasonably foresee that the number of Lianjia agents and store will remain largely stable. Meanwhile, we expect a modest increase in scale of non-Lianjia agent stores with target expansion in certain key regions. On top of the stable agent store networking, improving efficiency will be our core goal this year and beyond. This year, we will provide more targeted support to store owners to help them improve regional competitiveness. At the same time, under our points-based incentive system, we aim to develop more high-performing stores, aiming to upgrade the overall structure of our store network. In the long run, the large store model will be a key strategy for enhancing productivity. In the future, our platform will host more high-performing large stores, each with over 10 agents. These stores will attract more top talent. This large store boost high efficiency and strong staff retention, allowing store owners to achieve better income and stay in business longer. Those store owners can better support agents, ensure their income stability and enabling the owners to provide superior service to customers. The platform's various residential service will also offer agents diversified opportunities for additional income. Additionally, we firmly believe that breakthroughs in AI will present opportunities for transformative improvements in industry productivity. We have already developed a variety of AI applications to support our service and providers, and we will continue to accelerate development to redefine the capabilities of the quality service providers and drive their efficiency gain. This year, in a volatile market, we aim to increase the average number of transaction per connected agent to maintain stable per capita commissions. Over the next two to three years, we plan to increase the proportion of large and high-quality stores. This store will have a more stable, high-performing agents with high efficiency with store productivity being 2 times to 3 times of the current average. We anticipate with this -- within three years, this will have led to approximately 20% improvement in efficiency of those connected agents on our platform. Thank you.
Operator
谢谢。下一个问题来自野村证券的董继周。请提问。
Operator
Thank you. Your next question comes from Jizhou Dong from Nomura. Please go ahead.
Jizhou Dong
[外语] [口译] 贝壳家装家居业务在第一季度实现了20%以上的同比增长,贡献利润率提升了2个百分点。管理层能否分享该业务板块运营的更多具体细节,以及对未来利润率的展望?此外,管理层已经分享了很多关于贝壳利用AI推动业务发展和提升服务质量的想法。展望未来几个季度,管理层能否从2B和2C两个角度,进一步更新贝壳在AI方面的战略和投资计划?谢谢。
Jizhou Dong
[Foreign Language] [Interpreted] Bakers' home renovation and furnishing business achieved 20% plus year-on-year growth in the first quarter with a 2 percentage point improvement in contribution margin. Could management share more specifics of the segment's operation, as well as the outlook on the margin in the future? And in addition, management has shared a lot of the ideas of Beike using AI to drive its business and improve its service quality. Looking into the next few quarters, could management update us more on Beike’s strategy and investment plan for AI from both the 2B and 2C perspective? Thank you.
Tao Xu
感谢继洲。我们的家装家居业务在第一季度表现优异。从规模来看,营收达到29亿元人民币,同比增长22.3%。北京、广州、郑州等城市表现尤为突出,营收同比增长均超过50%。在盈利能力方面,家装家居业务的贡献利润率在第一季度达到32.6%,较去年同期提升2个百分点,创历史新高,体现了我们精细化运营管理的能力。我们相信AI在家装家居领域有广泛的应用场景。我们也在持续深化AI应用,如合同转化、施工流程和内部管理等方面。让我详细阐述一下。首先,在合同转化前期,以往设计师通过二维黑白平面图与客户进行初步沟通。单一的专业图纸降低了客户的感知度,影响了合同转化效率。目前,借助AI赋能,当客户首次到访线下门店时,设计师可以根据客户对装修风格和户型布局的偏好,快速制定出IR方案。这个AI方案包含各类三维彩色渲染设计图、动静空间分析、收纳和智能设备布局规划。这显著提升了首次到店客户的体验,从而提高了合同转化率。以武汉为例,从首次到店到签订初步合同的时间从以往的10天缩短至3月内的6天以内。其次,在施工过程中,我们开发了智能施工系统。通过在施工现场安装摄像头实现实时在线巡检。AI还能在核心施工环节实现自动测量,如实名制认证、现场清洁度检查和噪音识别等。此外,通过为员工配备智能巡检设备,我们借助AI记录技术协助规范家装验收流程。我们可以重新对比验收过程,实现对施工质量的原则性和量化评估。以北京为例,实际风险验收率较之前提升了2个百分点以上。同时,在内部管理方面,我们拥有多位AI员工。孙晓生作为运营管理AI员工,通过AI自动汇总和点评日报及待办事项,提升了团队管理效能。该功能在半年内收集并点评了超过2万份日报,为团队节省了超过1.8万小时。同样,订单跟进AI员工通过信息收集和AI分析能力实现了信息分发和自动派单等功能,孙晓生在半年内分发了超过5000次信息,并进行了超过1万次及时提醒。未来,我们家装业务的AI探索将集中在以下几个方面:更精准的客户需求洞察分析,以及AI驱动的更高效设计。我们旨在实现从需求到设计的更好人员解决方案,全面提升我们服务的专业性和效率。谢谢。
Tao Xu
Thank you, Jizhou. Our home renovation and furnishes business demonstrated excellent performance in Q1. In terms of scale, the revenue amounted to RMB2.9 billion, up 22.3% year-over-year. Cities such as Beijing, Guangzhou and Zhengzhou performed especially well and each achieved over 50% year-over-year growth in revenue. Regarding profitability, the contribution margin for the home renovation and furnishing business reached 32.6% in Q1, an increase of 2 percentage points compared to the same period last year, reaching a record high and reflecting our capability of the refined operation and management. We believe that the AI has extensive application scenarios in the home renovation and furnishing. We are also continuously deepening the application of AI, such as contract conversion, construction process and internal management. Let me elaborate for details. First, in the early stage of the contract conversion, previously, designers conduct the initial communication with customers through the two-dimensional black and white flow plans. The only professional drawing reduced the customer's perception and affect the efficiency of the contract conversion. Currently, empowered by AI, when a customer visits our offline store for the first time, designers can rapidly formulate an IR proposal based on the customer's preference for decoration style and home layouts. This AI proposal encompass the various type of the 3-dimensional color-rendered design drawing, dynamic and static space analysis, storage and smart device layout plan. This significantly enhanced the experience of first-time store visitors and thereby boost the contract conversion rate. Taking Wuhan as an example, the time period from first-time visiting store to signing a preliminary contract was shortened from previously 10 days to within six days in March. Secondly, in the construction process, we have developed an intelligent construction system. Real-time online inspections are realized by installing cameras on spot. AI can also realize automatic measurement in core construction operation such as the real name on the drop certification, the inspection of the site cleanliness and the noise recognition. In addition, by equipping staff with smart inspection devices, we assist in standardizing the home renovation acceptance process through AI recording technology. We can recontrast the acceptance process, enabling principle and quantifiable evaluation of the construction quality. Taking Beijing as an example, the acceptance of actual risk rate has increased by more than 2 percentage points compared with before. Meanwhile, in terms of the internal management, we have multiple AI employees. Sun Xiaosheng, as operating management AI employee enhanced the effectiveness of the team management by automatically summarizing and commenting on daily reports and demanding about the pending matter through AI. This option has collected and commented on more than 20,000 daily reports, saving team more than 18,000 hours within half a year. So fashioned as order following AI employee realized functions such as information distribution and automatic order assignment through the information collection and AI analysis capabilities, Sun Xiaosheng had distributed information over 5,000 times and some timely reminder over 10,000 times within half a year. In the future, our AI exploring for home renovation business will be concentrated on the following aspects: more accurate insights and analysis of the customer demands and the more efficient design powered by AI. We aim to achieve the better personnel solution from demand to design and comprehensively enhance the professionalism and the efficiency of our services. Thank you.
Operator
谢谢。下一个问题来自瑞银的John Lam。请提问。
Operator
Thank you. Your next question comes from John Lam from UBS. Please go ahead.
John Lam
[外语] [口译] 让我翻译一下我的问题。我的问题是关于贝壳家(Beihaojia)的。我们看到贝壳家已经参与了众多新房项目。我想了解一下贝壳家对新房开发有何贡献?另外关于C2M业务,这项业务是如何体现的?谢谢。
John Lam
[Foreign Language] [Interpreted] So let me translate my questions. So my question is regarding on Beihaojia. So we see that Beihaojia has already participated numerous new home projects. So just wanted to see how Beihaojia contributes to the new home development? And also regarding on the C2M business, how the business is being reflected? Thank you.
Tao Xu
谢谢,John。贝壳家的商业模式为开发商等合作伙伴提供C2M新房产品解决方案。我们运用智能算法和海量数据库,深入理解目标客户的需求和偏好。我们的工具帮助预测客户想要的房屋类型和期望价格。开发商利用这些洞察来指导项目定位和产品设计,使他们的新房供应更贴合客户需求。截至目前,贝壳家已参与不同模式的线上采购。因此,我们的自营项目旨在更全面地验证我们的C2M能力。回投项目涉及股权合作伙伴,贝壳家主要专注于产品定位,使用HY作为项目权利,项目采用纯轻资产模式,我们不参与投资,而是为合作伙伴提供产品定位解决方案并收取服务费。关于七个涉及投资项目的资金使用情况,总投资额已达到约23亿元人民币。截至本季度末,我们已从[听不清]收回近5亿元人民币。我们自有资金的净投资超过18亿元人民币。其中,我们与中电建地产合作的北京[听不清]项目,作为首个IP合作新房项目,在开盘首日就实现了所有首批单位的完全售罄。该项目为股东层面带来了近30%的内部收益率,展示了我们的C2M服务能力如何为合作伙伴提供增强的销售和运营确定性。在构建C2M能力方面,我们拥有两大关键优势。首先,我们深刻理解潜在消费者的需求。这源于我们基于平台海量线上线下流量构建的独特数据库。它还来源于我们经纪、家装和租赁服务中丰富的客户互动。这些共同构成了我们核心数据基础设施的基础。凭借这些数据,我们能够更及时、直观和具有竞争力地分析关键指标,如潜在客户的来源、数量、购买力和具体产品需求。这种详细的客户洞察水平帮助开发商做出更准确的决策,并在土地拍卖评估、户型配比规划和产品组合等领域更有效地分配资源,最终带来更大的运营确定性。我们的第二个优势是强大的市场认知和定价能力。我们利用新房的实际成交价格,以及房主挂牌价和价格调整等实时上游数据。然后,我们应用算法模型为不同地理区域构建估值模型。这些模型能够更准确地估计项目和板块价值,并根据市场变化快速更新。这种方法更贴近买方市场的价格形成逻辑。新房价格在很大程度上不受开发商策略和政策的影响,而是买卖双方分散自由协商的结果。在以新房交易为主导的市场中,这种新房价格通常比新房市场数据提供更准确的多层次市场视图。这有助于我们更好地把握市场趋势。基于这一真实优势,我们完善了核心C2M工具。我们将继续随着时间的推移提高其准确性和熟练度。我们还通过更多创新的客户触达方式来支持我们的C2M模式。虽然我们的经纪人网络连接客户,但我们也在应用程序中构建了一个名为'共建美好家园'的在线社区。这使得用户能够直接参与新房产品设计的评估和共创。例如,在我们上海的虹青项目中,用户可以访问'共建美好家园'页面。他们可以查看和比较两种家居设计方案,参与未来梦想家园的设计过程。这种模式让我们比传统方法更早地连接客户。它也使他们的偏好反映在新房产品中。我们已经在西安项目中提供了首个C2M产品解决方案服务,并从中赚取服务费,这表明我们的业务方法获得了更强的市场认可。在西安项目中,贝壳家提供全套产品解决方案。这包括客户服务、产品精准定位、成本优化、价格预测和市场服务。我们还提供目标项目规划建议,如优化电梯与户数配比、提升景观和调整户型尺寸,试图解决开发商的关键痛点,如快速资金回收、产品溢价和产品竞争力。最后但同样重要的是,作为行业新进入者,贝壳家对市场保持谦逊和尊重。尽管这条业务线成立不到两年,我们已经在几个项目中看到了有希望的结果。这些早期迹象逐渐验证了我们的能力路径,并增强了我们持续优化和前进的信心。谢谢。
Tao Xu
Thank you, John. Beihaojia's business model provides a C2M new home product solution for partners like developers. We use intelligent algorithm and massive database to deeply understand our target customers' needs and preference. Our tools help predict the type of home customers wanted and the price they expect. Developers use this insight to guide project positioning and product design, making their new home offering more catered to customer demands. So far, Beihaojia has participated in line purchase across different models. So our self-operated project aimed at more comprehensive, validating our C2M capabilities. Back projects involve equity partners with Beihaojia primarily focused on the product positioning using HY as a right to projects are purely light asset model, where we do not engage in investment, but instead provide product positioning solution to partners and charge a service fee. Regarding the funding use across the seven investment-involved projects, the total investments have reached about RMB2.3 billion. By end of this Q1, we have recovered nearly RMB500 million from [indiscernible]. Net investment from our own funds stands over RMB1.8 billion. Among this, our first IP partnership, new home projects, which we collaborated with PowerChina Real Estate on Beijing [indiscernible] of Beijing City achieved a complete sellout of all initial units on the first day of launch. The project delivered an IRR nearly 30% at the shareholder level, demonstrating how our C2M service capability provides partners with enhanced sales and operation certainty. In building C2M capabilities, we have two key advantages. First, we have a deep understanding of the needs of potential consumers. This came from our unique database built on massive online and offline traffic of our platform. It also draws from the rich customer interactions in our brokerage, home renovation and rental services. Together, this forms the foundation of our core data infrastructure. With this data, we can analyze key indicators, such as the source, quantity, purchasing power and the specific product needs of potential customers in a more timely, intuitive and competitive manner. This level of detailed customer insight helps developers make a more accurate decision and allocate resources more effectively in areas such as land auction assessment, unit mix planning and product set, ultimately leading to the greater operational certainty. Our second advantage is a strong market knowledge and price ability. We use actual transaction price of this new home along with the real-time and upstream data like homeowner's listing price and the price adjustments. We then apply the algorithm model to build a valuation model for different geographic districts. These models can more accurately estimate the project and sector value and update quickly based on the change in the market. This approach aligns more closely with the price formation logic in a buyer's market. The new home price are largely unaffected by policies of both developers strategy and instead result from a decentralized and free negotiation between buyers and sellers. In a market dominated by new home transaction, this new home prices often give a more accurate multilayered view of the market than new home market data. This help us better market trends. Based on this true advantage, we have refined our core C2M tools. We will continue to improve their accuracy and proficiency over time. We also support our C2M model with more innovative ways to reach customers. While our agent network connect with customers, we are also building an online community called building a better home together with our application. This enables users to directly participate in evaluation and co-creation of new home product design. For example, in our Hongqing project in Shanghai, users can visit building a better home together page. They can view and compare two home design plans engaging in the design process of their future dream homes. This model let us connect with customers much earlier than traditional methods. It also makes their preference reflect in the new home products. We have already provided our first C2M product solution service in Xi'an project through which we earn a service fee, showing stronger market recognition from our business approach. In Xi'an project, Beihaojia provide a full set of product solutions. This included customer service, product exact positioning, cost optimization, price forecasting and market services. We also give target project planning advice such as optimizing the elevator to household visual, enhancing the landscape and adjusting in size, trying to address the key developer pain points such as fast capital recovery, product premium and product competitiveness. Last but not least, as a newcomer to the industry, Beihaojia remains humble and respectful to the market. Although the business line has been established for less than two years, we have already seen the promising results in several projects. These early signs have gradually validated our capability path and strengthened our confidence in continuous optimization and moving forward. Thank you.
Operator
谢谢。我们的电话会议即将结束。现在我将把电话交回给今天的主持人李思婷女士进行结束致辞。
Operator
Thank you. We are now approaching the end of the conference call. I will now turn the call over to your host today, Ms. Siting Li for closing remarks.
Siting Li
再次感谢大家今天参加我们的电话会议。如果您有任何进一步的问题,请随时通过我们网站上提供的联系方式联系贝壳的投资者关系团队。今天的电话会议到此结束,我们期待下个季度与您再次交流。谢谢,再见。
Siting Li
Thank you once again for joining us today. If you have any further questions, please feel free to contact Beike’s Investor Relations team through the contact information provided on our website. This concludes today's call, and we look forward to speaking with you next quarter. Thank you, and good-bye.