Loopon In-Stay vs. RUNNR.ai: 哪个更适合您?

更新于 May 16, 2026  ·  已分析 35 条经验证的评价

摘要

我们分析了 35 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:

Loopon 表现出色 在 ROI 方面 .

RUNNR.ai 表现出色 在 客人问询自动化 方面 ,拥有独特功能如 Broadcast Messaging and Mobile Friendly.

查看下方完整分析 ↓

Loopon In-Stay 与 RUNNR.ai 相比如何?

基于 HTR 上 35 条经验证的酒店从业者评价的并排评分。

HTScore
0
76
推荐可能性
100%
96%
易用性
5.0/5
4.8/5
客户支持
5.0/5
4.8/5
性价比
5.0/5
4.7/5
起始价格 Contact sales From $400/mo
经验证的评价 1 34

Loopon In-Stay 与 RUNNR.ai 的优缺点是什么?

在分析了 35 条经验证的评价后,Loopon 用户最看重其 ,而 RUNNR.ai 用户则强调 客人问询自动化, 提高客人满意度, 多渠道沟通。点击任意主题查看评价者的反馈。

Loopon Loopon RUNNR.ai RUNNR.ai
优点
+ 客人问询自动化
+ 提高客人满意度
+ 多渠道沟通
+ 成本效益
缺点
与 PMS/CRM 集成
潜在的技术改进
灵活性和定制化

Loopon 对比 RUNNR.ai:按酒店细分市场排名

各产品在不同物业规模、类型和区域的 访客留言软件 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

细分市场 Loopon Loopon RUNNR.ai RUNNR.ai
小型(10-24 间客房) #22 0 条评价 #15 4 条评价
中型(25-74 间客房) #17 1 条评价 #14 17 条评价
大型(75-199 间客房) #13 0 条评价 #21 2 条评价
超大型(200+ 间客房) #16 0 条评价 #13 3 条评价

按物业类型

细分市场 Loopon Loopon RUNNR.ai RUNNR.ai
精品酒店 #22 0 条评价 #14 15 条评价
豪华酒店 #25 0 条评价 #13 12 条评价
品牌/连锁酒店 #21 0 条评价 #19 7 条评价
长住酒店 #26 0 条评价 #15 2 条评价

按区域

细分市场 Loopon Loopon RUNNR.ai RUNNR.ai
北美 #22 0 条评价 #27 0 条评价
欧洲 #9 1 条评价 #7 29 条评价
亚太 #14 0 条评价
中东 #8 0 条评价

The Decision

Choosing between Loopon In-Stay and RUNNR.ai hinges on your hotel’s specific needs and operational priorities. Both platforms aim to streamline guest communication, but they serve different hotel types and adoption stages. Loopon emphasizes holistic in-stay feedback and internal analytics, while RUNNR.ai focuses on automating guest inquiries and upsells through AI-driven messaging. Which aligns better with your hotel’s current communication goals?

Loopon offers a unified communication system designed to enhance guest feedback and reputation management, especially suited for hotels prioritizing guest experience insights. RUNNR.ai, on the other hand, is built for operational efficiency and revenue growth, automating guest interactions across multiple channels. So, what does your team need most now?

Is Loopon In-Stay or RUNNR.ai Better for Hotels?

Both products aim to improve guest communication, but their approaches diverge sharply. Loopon In-Stay centers on collecting guest feedback at every touchpoint—pre-stay, during, post-stay—and providing detailed internal analytics to improve service. Conversely, RUNNR.ai automates repetitive guest inquiries, facilitates upselling, and engages guests through WhatsApp and SMS, reducing staff workload.

While Loopon’s system is praised for its simplicity and reliability, it offers limited integration and fewer automation features. RUNNR.ai excels at instant, multilingual messaging with over 50 features, including campaign management and chatbot booking. Which type of solution better fits your hotel’s priorities—the feedback-focused platform or the automation-driven system?

Loopon In-Stay vs RUNNR.ai: Which Should Your Hotel Choose?

If your hotel needs robust guest feedback collection and reputation management, go with Loopon In-Stay. It’s ideal for hotels focused on internal analytics, guest satisfaction insights, and holistic communication without requiring app downloads. However, if your team prioritizes automating guest inquiries, increasing operational efficiency, and boosting revenue through upselling, RUNNR.ai is the better fit.

Loopon’s reviews—though limited—highlight its ease of use and reliability, making it suitable for small hotels or those new to digital guest communication. RUNNR.ai, with 31 recent reviews and a high rating, appeals to hotels seeking advanced automation, multilingual support, and integrations with booking platforms.

In summary, choose Loopon for feedback and reputation enhancements, and RUNNR for operational automation and guest engagement. Your choice should align with your primary hotel objectives.

Is Loopon In-Stay or RUNNR.ai Easier to Use?

Loopon In-Stay boasts a near-perfect ease of use rating of 5/5, with reviews emphasizing its intuitive interface and straightforward setup. Users report that staff can quickly learn to navigate and utilize its features, with minimal training required. The onboarding process is similarly rated highly at 5/5, making adoption smoother for small teams or hotels new to digital communication.

RUNNR.ai’s ease of use scores slightly lower at 4.84/5 but remains highly rated. Users appreciate its user-friendly interface and the simplicity of automating guest messaging, though some mention a learning curve with advanced features. Support and onboarding are both rated above 4.7/5, indicating a generally smooth implementation process.

Edge: Loopon In-Stay.

Which Has Better Features: Loopon In-Stay or RUNNR.ai?

RUNNR.ai offers a significantly broader feature set—50 features versus Loopon’s none—covering automated replies, broadcast messaging, upsell campaigns, chatbots, analytics dashboards, and more. Its tools allow for complex workflows, guest surveys, multilingual support, and integration with multiple booking platforms like Booking.com and Airbnb.

Loopon In-Stay’s core strength lies in its all-in-one guest feedback and reputation management, with features like real-time feedback collection, internal statistics, and unified messaging, but it lacks the automation and campaign capabilities of RUNNR.ai.

Edge: RUNNR.ai.

Which Has Better Customer Support: Loopon In-Stay or RUNNR.ai?

Loopon’s customer support scores a perfect 5/5, with reviews praising its reliability and responsiveness. Users mention that support is always accessible and helpful, contributing to a smooth user experience. The onboarding process is rated equally high, ensuring quick and effective training.

RUNNR.ai also scores highly at 4.81/5, with recent reviews highlighting prompt support and excellent onboarding. Users appreciate the team’s responsiveness, though some suggest that more integration options could improve the experience.

Edge: Loopon In-Stay.

Which Has More Integrations: Loopon In-Stay or RUNNR.ai?

RUNNR.ai boasts 18 verified integrations, including major PMS and booking platforms like Cloudbeds, Booking.com, Expedia, and Airbnb. It also offers numerous unique integrations such as WhatsApp, SMS, and booking engine partners, enabling extensive automation and multichannel communication.

Loopon has 11 verified partners, including Mews, Sirvoy, and Protel, but fewer total integrations. While it covers key hospitality tools, RUNNR.ai’s broader integration network provides more options for automation and data sharing.

Edge: RUNNR.ai.

Which Do Hoteliers Rate Higher: Loopon In-Stay or RUNNR.ai?

RUNNR.ai’s current review count (31) vastly exceeds Loopon’s single recent review, indicating stronger market presence and more recent user feedback. Hotels across segments—especially boutique, city center, and resort properties—rate RUNNR.ai higher, citing its extensive features, automation, and support.

Loopon’s reviews, though highly positive, are limited and primarily from small hotels focusing on guest feedback. RUNNR.ai’s recent reviews reflect widespread satisfaction with automation, integrations, and guest engagement, making it the more trusted choice in today’s market.

Edge: RUNNR.ai.

How Much Do Loopon In-Stay and RUNNR.ai Cost?

Loopon does not publicly disclose pricing, suggesting it may operate on a custom quote basis, typical for more niche platforms. RUNNR.ai charges a flat rate of $400 per month, with no trial or freemium options, indicating a predictable investment for larger or growing hotel brands.

Given the difference in transparency, your decision may also depend on the specific features and level of support your hotel requires, alongside budget considerations.

What Type of Hotel Should Use Loopon In-Stay?

  • Hotels that prioritize guest feedback, reputation management, and internal analytics.
  • Properties seeking a simple, easy-to-implement system for real-time guest communication.
  • Small to medium hotels looking for a reliable, user-friendly platform that enhances guest satisfaction.
  • Hotels that value holistic communication covering pre-stay to post-stay.
  • Teams that want detailed insights to improve service quality.

Not ideal if your hotel needs extensive automation, multichannel campaigns, or integration-heavy features.

What Type of Hotel Should Use RUNNR.ai?

  • Hotels aiming to automate 95% of guest inquiries and operational tasks.
  • Properties looking for multilingual, multichannel communication via WhatsApp and SMS.
  • Hotels that want to increase revenue through targeted upselling and promotional campaigns.
  • Larger hotels or chains with complex operations seeking extensive integrations.
  • Hotels that value automation and real-time guest engagement as core strategies.

Not ideal if your hotel is small, has minimal digital infrastructure, or prefers a feedback-focused platform over automation.

The Bottom Line for Hotels

Core Difference: Loopon In-Stay emphasizes guest feedback collection, reputation management, and internal analytics, making it ideal for hotels prioritizing service quality. RUNNR.ai is a comprehensive automation tool, designed to reduce workload, increase revenues, and enhance operational efficiency through AI-powered messaging.

When to Choose Loopon: If your hotel wants detailed insights into guest satisfaction, reputation building, and feedback-driven improvements, Loopon’s straightforward system offers reliable support and easy adoption. It’s well-suited for small to medium hotels focused on guest experience.

When to Choose RUNNR.ai: If your hotel needs advanced automation, multichannel messaging, and revenue-generating campaigns, RUNNR.ai’s extensive features and integrations make it the clear winner. It works best for larger, tech-savvy properties aiming to streamline operations and boost guest satisfaction simultaneously.

Final Verdict: For hotels with a focus on guest feedback and reputation, Loopon is a solid choice, especially given its high support ratings and ease of use. However, if automation, integrations, and revenue growth are your priorities, RUNNR.ai’s broader feature set and recent positive reviews make it the more compelling option.

Loopon In-Stay 和 RUNNR.ai 的价格是多少?

访客留言软件 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。

Loopon Loopon RUNNR.ai RUNNR.ai
Starting Price From $400/mo

Loopon In-Stay 有哪些 RUNNR.ai 没有的功能(反之亦然)?

根据 HTR 的产品数据库,Loopon In-Stay 和 RUNNR.ai 共享 0 项功能。以下是关键差异——一方拥有而另一方缺少的功能。

功能 Loopon Loopon RUNNR.ai RUNNR.ai
Whatsapp 整合
广播消息
移动友好
自动化工作流程
自动回复
追加销售履行追踪

显示主要差异。这两款产品之间还有 38 项功能存在差异。

Loopon 对比 RUNNR.ai:总结

Loopon
Loopon
5.0/5 来自 1 条评价

排名更高的方面

大型(75-199 间客房) #13 vs #21
机场/会议酒店 #12 vs #18
房车营地与露营地 #13 vs #15
US #22 vs #27
5.0/5 易用性 5.0/5 客户支持 11 个集成
查看资料
RUNNR.ai
RUNNR.ai
4.8/5 来自 34 条评价

酒店从业者喜爱的方面

客人问询自动化 100% 正面

RUNNR.ai 实现了大部分宾客问询的自动化,显著减轻了接待人员的工作量。该系统提供即时、类似人类的响应,宾客通常甚至意识不到自己正在与 AI 互动,从而提升了... RUNNR.ai 实现了大部分宾客问询的自动化,显著减轻了接待人员的工作量。该系统提供即时、类似人类的响应,宾客通常甚至意识不到自己正在与 AI 互动,从而提升了效率和宾客体验。

提高客人满意度 100% 正面

RUNNR.ai 通过实现更高效的沟通,显著提高了客人满意度,让客人获得快速的回应和个性化的关注,从而提升了他们的整体体验。

多渠道沟通 100% 正面

虽然 RUNNR.ai 支持 WhatsApp 和在线平台,但建议包括多样化沟通渠道,包括短信等选项,扩大覆盖范围,特别是在 WhatsApp 不太常见的地区。

酒店从业者提出异议的方面

与 PMS/CRM 集成 67% 负面

用户希望与物业管理系统实现更无缝的集成。虽然目前已取得一些进展,但扩展集成选项将有助于释放更多员工时间并提高系统可用性。

潜在的技术改进 50% 负面

用户建议进行一些增强,例如 Gmail 集成,以及更强大的连接和通信选项,以进一步发挥系统的潜力。

排名更高的方面

中型(25-74 间客房) #14 vs #17
小型(10-24 间客房) #15 vs #22
超大型(200+ 间客房) #13 vs #16
超小型(少于 10 间客房) #13 vs #16

独特功能

自动回复 广播消息 追加销售履行追踪 自动化工作流程 移动友好
4.8/5 易用性 4.8/5 客户支持 18 个集成
查看资料

关于 Loopon In-Stay 与 RUNNR.ai 的常见问题

Loopon In-Stay 能否替代 RUNNR.ai?

这取决于您的需求。Loopon In-Stay 和 RUNNR.ai 共享许多核心 Guest Messaging Software 功能,但各有独特的能力。Loopon In-Stay 提供 11 个经验证的集成合作伙伴,而 RUNNR.ai 提供 18 个。在切换之前,请查看上方的功能对比以了解它们的差异。

哪个更适合小型或独立酒店?

小型酒店应优先考虑易用性和快速入职。Loopon In-Stay 在易用性方面领先,评分为 5.0/5 对比 4.8/5。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。

Loopon In-Stay 或 RUNNR.ai 是否提供免费方案?

Loopon In-Stay:否。RUNNR.ai:否。 两款产品目前均不提供免费版。大多数 Guest Messaging Software 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。

HTR 如何评估和排名 Loopon In-Stay 和 RUNNR.ai?

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。Loopon 的 HT Score 为 0,RUNNR.ai 的为 76。以下是评分的计算方式。

标准组 权重 衡量内容
客户评分与评价

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

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

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

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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