The project dashboard is a free tool that is only available to verified hoteliers to make adopting new technology easier by streamlining their research and simplifying their communication workflow.
摘要
我们分析了 45 条经验证的酒店从业者评价,比较了功能集、定价和真实案例研究,以全面解析每个平台的优势。最佳选择取决于您的物业类型和优先事项:
Dataria 表现出色 在 ROI and onboarding 方面 ,拥有独特功能如 Manage Sell-Outs & Cancellations and 24-Months Pricing & Forecasting.
Hotellistat GmbH 表现出色 在 人工智能驱动的价格建议 方面 ,拥有独特功能如 Mobile App and Mobile Friendly Design.
基于 HTR 上 45 条经验证的酒店从业者评价的并排评分。
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| 起始价格 | From $400/mo | From $400/mo |
| 经验证的评价 | 6 | 39 |
在分析了 45 条经验证的评价后,Dataria 用户最看重其 ,而 Hotellistat GmbH 用户则强调 人工智能驱动的价格建议, 实时数据分析, 全面的集成能力。点击任意主题查看评价者的反馈。
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全面的集成能力
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用户友好界面
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集群和商业智能视图
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社交媒体整合的局限性
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各产品在不同物业规模、类型和区域的 收益管理系统 供应商中的排名——基于各细分市场中酒店从业者的经验证评价。
按酒店规模
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| 小型(10-24 间客房) ▾ | #34 2 条评价 | #23 12 条评价 |
| 中型(25-74 间客房) ▾ | #43 2 条评价 | #15 23 条评价 |
| 大型(75-199 间客房) | — | #33 1 条评价 |
| 超大型(200+ 间客房) | — | #13 3 条评价 |
按物业类型
| 细分市场 |
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| 精品酒店 ▾ | #43 1 条评价 | #17 24 条评价 |
| 豪华酒店 ▾ | — | #21 14 条评价 |
| 品牌/连锁酒店 ▾ | #43 1 条评价 | #17 15 条评价 |
| 长住酒店 ▾ | — | #14 6 条评价 |
按区域
| 细分市场 |
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| 北美 | #26 1 条评价 | #25 1 条评价 |
| 欧洲 ▾ | #30 3 条评价 | #15 37 条评价 |
| 亚太 | — | #17 1 条评价 |
Choosing the right revenue management system can significantly impact your hotel's profitability and operational efficiency. Both Dataria’s Automatic Pricing and Hotellistat’s Revenue Management offer tools to optimize your room rates and streamline decision-making; however, they diverge in features, user experience, and market presence. Your choice hinges on whether you prioritize a system with more recent reviews and a broader array of features or one with deeper integration and proven success across diverse hotel segments.
While Dataria’s Automatic Pricing has a smaller user base and fewer recent reviews, it boasts a high customer support rating and a straightforward approach. Hotellistat, on the other hand, benefits from a larger, more recent review count and a comprehensive AI-driven platform. Which product aligns best with your hotel’s specific needs?
Both products aim to maximize your revenue through dynamic pricing, but they approach this goal differently. Dataria emphasizes automation with its Rate-O-Matic algorithm, automatically adjusting prices based on competitor data, occupancy, demand, and your specific policies, making it ideal for hotels wanting minimal manual intervention. Conversely, Hotellistat leverages AI models to suggest optimal rates, focusing on providing clear, hourly recommendations based on extensive data streams, which suits hotels seeking more control and granular insights.
Dataria’s platform, with only six reviews and two recent ones, has limited but positive feedback, mainly highlighting its ease of use and flexible pricing policies. Hotellistat, with 32 reviews and fresh feedback from recent users, demonstrates broader acceptance and confidence in its AI-driven suggestions. Given the more recent reviews and higher user count, Hotellistat offers a more robust, trusted option to meet your revenue management needs.
If your hotel seeks an easy-to-implement, automated system that simplifies pricing decisions and requires minimal manual input, Dataria is the better choice. Its full suite of automation tools reduces time spent on rate setting, ideal for boutique hotels or properties with limited revenue management staff.
If your property benefits from an advanced data analytics platform that provides detailed, hourly rate suggestions and extensive integration options, Hotellistat is preferable. Its AI-driven engine is best suited for larger hotels and chains that need precise control over their pricing strategies and a broader ecosystem of integrations.
For hotels needing a straightforward automation tool, go with Dataria. For those desiring comprehensive insights and AI-powered recommendations, Hotellistat is the clear winner.
Dataria scores 4.67/5 for ease of use, with reviews emphasizing its intuitive interface and simple setup. Customers appreciate its straightforward onboarding process, which takes less time and effort, making staff adoption smooth.
Hotellistat’s user-friendly platform, rated at 4.47/5, also receives praise for its clarity and ease of navigating complex data. Users highlight its intuitive design and effective reporting features, though some note a slightly steeper learning curve due to its extensive capabilities.
Edge: Dataria.
Dataria offers 11 features unique to its platform, including 24-month and five-year forecasting, business intelligence, manage sell-outs and cancellations, and flexible competitor data. These tools empower your team to plan long-term, analyze market trends, and adjust strategies proactively.
Hotellistat provides nine exclusive features, such as group pricing, a mobile app, STR and event data, displacement analysis, and smart spreading technology, adding operational flexibility and real-time capabilities. Its core strength lies in integrated data streams and automation.
While Dataria’s feature set is slightly more extensive, Hotellistat’s innovative AI-driven functionalities offer deeper insights.
Edge: Dataria.
Dataria’s customer support scores a perfect 5/5, with reviews praising its personal, unhurried onboarding process and ongoing support. Customers mention their team’s understanding of hotel needs and responsiveness, which helps simplify implementation and troubleshooting.
Hotellistat’s support, rated at 4.81/5, also receives positive feedback for its effectiveness and responsiveness. Users appreciate its comprehensive training and proactive communication but note that support could be more personalized.
Edge: Dataria.
Hotellistat boasts 17 verified partners, including major PMS and revenue tools like Fairmas, Oracle Hospitality, and IDeaS, offering extensive ecosystem compatibility. Its wide range of integrations allows for seamless data flow across operational systems.
Dataria, with only three verified partners (including Mews and Neobookings), offers limited integration options, which may restrict data sharing and automation potential.
Edge: Hotellistat.
Hotellistat’s reviews are more recent and abundant, with an overall rating of 5/5 from 31 hotelier reviews, mainly from independent and boutique properties. Its users highlight AI-powered recommendations, real-time data, and strategic insights as key strengths.
Dataria, with just six reviews and a rating of 0/5, provides limited feedback, mostly positive but not enough to establish a broad consensus. Its smaller user base and recent review scarcity make Hotellistat a more validated choice.
Edge: Hotellistat.
Both products are priced at $400/month with no freemium or trial options. Additional implementation or setup fees are not listed, indicating comparable pricing structures.
Your decision should consider the value and features offered at this price point rather than cost alone.
Not ideal if your hotel requires extensive integrations, social media analytics, or highly granular control over pricing adjustments.
Not ideal if your hotel operates on a very tight budget or prefers a less data-intensive, more automated approach without extensive customization.
Dataria’s Automated Pricing excels in delivering a simple, automated solution that minimizes manual workload, making it ideal for boutique hotels or properties with limited revenue management resources. Its support and ease of use are highly rated, but its smaller feature set and limited integrations may restrict larger operations.
Hotellistat, with its AI-driven platform and broader integrations, serves hotels that need detailed insights, real-time recommendations, and flexible systems. Its larger user base, frequent recent reviews, and high overall ratings make it a more trusted choice for hotels aiming for a data-driven revenue management approach.
If your hotel values automation and simplicity, Dataria is the logical pick. For comprehensive analytics, integration, and AI-powered recommendations, Hotellistat is the superior option.
收益管理系统 的定价很少是简单明了的。以下是我们从各供应商公开定价数据中了解到的信息。请务必根据您的物业规模申请定制报价。
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| Starting Price | From $400/mo | From $400/mo |
根据 HTR 的产品数据库,Automatic Pricing (by Dataria) 和 Hotellistat - Revenue Management 共享 42 项功能。以下是关键差异——一方拥有而另一方缺少的功能。
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| 24 个月定价与预测 | ||
| STR 数据 | ||
| 事件数据 | ||
| 五年预测 | ||
| 价格敏感度建模 | ||
| 商业智能 | ||
| 团体定价 | ||
| 团体定价和评估 | ||
| 移动友好设计 | ||
| 移动应用 | ||
| 管理售罄和取消 | ||
| 长期住宿定价 |
显示主要差异。这两款产品之间还有 8 项功能存在差异。
我们分析了 3 个经验证的案例研究,比较了酒店在四个关键业务目标上使用每个平台实际取得的成果。
该目标暂无已发布的案例研究。
"We wanted to achieve an optimal revenue result during the pandemic. Hotellistat helped us to get a quick overview of the market and our own house without complicated Excel lists an..."
酒店从业者喜爱的方面
用户经常提到人工智能的价格推荐功能,该功能因其透明和可定制性而受到称赞,从而帮助酒店有效优化定价策略。
Hotellistat 的实时数据分析因能有效跟踪入住率和收入率而受到用户的高度评价,这有助于制定战略决策。用户很欣赏他们能轻松看到不同策略对其业务的影响。
该平台强大的集成能力受到称赞,但一些用户认为,整合更多的社交媒体数据将提供对客人偏好和品牌认知的更深入的洞察。
酒店从业者提出异议的方面
用户在对其见解表示赞赏的同时,也指出集群视图和商业智能部分可以从增强功能中受益,以更好地分析集体酒店数据和市场需求。
用户提到的一个值得改进的点是缺乏与社交媒体平台的整合,这限制了对跨多渠道的客人情绪的全面分析。
排名更高的方面
独特功能
评分差异最大的方面
这取决于您的需求。Automatic Pricing (by Dataria) 和 Hotellistat - Revenue Management 共享许多核心 Revenue Management Systems 功能,但各有独特的能力。Automatic Pricing (by Dataria) 提供 3 个经验证的集成合作伙伴,而 Hotellistat - Revenue Management 提供 17 个。在切换之前,请查看上方的功能对比以了解它们的差异。
小型酒店应优先考虑易用性和快速入职。Automatic Pricing (by Dataria) 在易用性方面领先,评分为 4.7/5 对比 4.5/5。寻找透明定价以及试用或演示选项。在各产品页面上按物业规模筛选评价,了解与您类似的酒店的反馈。
Automatic Pricing (by Dataria):否。Hotellistat - Revenue Management:否。 两款产品目前均不提供免费版。大多数 Revenue Management Systems 供应商提供演示或试用——在做出承诺之前,请分别向各供应商申请体验。
HT Score 是一个综合排名,考虑 4 个标准组和十多个变量,帮助酒店从业者客观比较酒店科技产品。Dataria 的 HT Score 为 0,Hotellistat GmbH 的为 78。以下是评分的计算方式。
| 标准组 | 权重 | 衡量内容 |
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| 客户评分与评价 |
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用户对该产品的推荐度如何? 评分分数、评价数量、声量份额、评价深度、评价时效性、成功案例 ▾ 权重最高的因素。分析平均满意度评分(推荐可能性、易用性、支持、投资回报率)、相对于同类产品的评价总数、评价时效性(最近 6 个月内至少 20 条评价)以及跨独立酒店客户的声量份额以检测选择偏差。 |
| 合作伙伴生态系统 |
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技术合作伙伴对该公司的推荐度如何? 合作伙伴推荐、集成数量、集成质量 ▾ 评估合作伙伴推荐作为专家信心投票、经验证集成的数量以及生态系统质量——集成合作伙伴的平均 HT Score。拥有更高质量集成生态系统的产品更有可能提供互联互通的技术栈。 |
| 以客户为中心 |
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该组织以客户为中心的程度如何? 认证支持、评价一致性、资料完整性 ▾ 评估公司是否获得 HTR 客户支持认证、是否保持持续的评价收集(反馈驱动文化的指标)以及产品资料是否完整,包括功能、截图、定价和特性。 |
| 覆盖范围、持久力与资源 |
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该公司的覆盖范围和资源有多广泛? 地理覆盖、持久力、公司资源、趋势评分 ▾ 衡量全球覆盖(服务的国家和区域)、经营年限作为稳定性指标、团队规模作为资源指标,以及基于近十二个月买家咨询、评价、合作伙伴推荐和媒体活动的趋势评分。 |
客户评分和评价是 HT Score 算法中最重要的因素。HTR 不接受付费以提高排名。所有评价均经过验证——只有经确认从属关系的酒店行业从业者才能提交评分。 查看完整 HT Score 评估方法 →
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