Best Analytics Tools for Travel & Hospitality Companies in 2026 (OTAs, Airlines, Hotels & Apps)

Travel brands need to understand how travelers search, book, and experience their trips if they want to stay competitive , especially OTAs, airlines, hotel groups, and fast-growing travel apps. The right analytics tools reveal where travelers drop out of booking flows, which campaigns drive profitable customers, and what keeps guests coming back. Whether you run a global OTA, manage cruise or hotel bookings, or build a mobile travel app, these five analytics platforms can help you increase booking conversion, retention, and revenue per trip.

Mitzu vs Mixpanel vs Houseware vs Amplitude vs Pendo

1. Mitzu.io

Overview

Mitzu is the leading customer journey analytics platform for travel companies designed for high-volume datasets. It enables travel and tourism businesses to analyze data directly in their cloud data warehouse, offering scalable, cost-effective insights into traveler behavior, revenue trends, and conversion paths.

Key Features

• Warehouse-native Analytics: Automatically generates SQL to explore travel analytics data without code.
• Subscription Metrics Tracking: Monitor key SaaS metrics such as Monthly Recurring Revenue (MRR), Lifetime Value (LTV), and churn rates.
• User Behavior & Journey Analysis: Track feature adoption, user retention, and customer journeys across multiple touchpoints to  understand user engagement.
• Cohort, Journey & Funnel Analysis: Analyze user segments and conversion funnels to identify bottlenecks and optimize product flows.
• Real-Time Data Exploration: Access up-to-date event-level data directly from your warehouse, ensuring 100% data consistency and accuracy.
• Secure Data Handling: Data stays in your warehouse, eliminating data duplication and external transfers, ensuring maximum privacy and governance.
• Embeddable Dashboards: Share insights across teams with customizable dashboards that facilitate collaboration on key business questions.

Best Use

Best for OTAs, airlines, hotel groups, and travel apps with large datasets in a cloud data warehouse that need warehouse-native analytics, strong privacy, and full control over their data.

Limitations

Requires an existing cloud data warehouse, which may be a hurdle for early-stage travel startups, and usage-based pricing may not suit low-scale travel businesses.

2. Amplitude

Overview

Amplitude is a behavioral analytics tool that helps travel companies visualize user journeys, segment travelers by behavior, and connect product usage to key business outcomes like bookings, retention, and customer loyalty.

Key Features

• Behavioral cohort analysis: Groups travelers by actions to identify high-value segments.
• User journey and funnel visualization: Maps booking paths to optimize conversion rates.
• Retention and engagement tracking: Measures repeat bookings and traveler loyalty metrics.
• Real-time analytics and dashboards: Provide up-to-the-minute insights for timely marketing.
• Advanced segmentation and A/B testing integrations: Test personalized offers and features.
• Robust API and data export capabilities: Integrates with CRM and marketing platforms.

When its right for you

Ideal for travel and tourism companies needing deep behavioral insights to improve booking conversion rates and traveler retention.

Limitations

Limited in collecting qualitative user feedback and can become costly at scale with complex event tracking in high-volume travel data.

3. Mixpanel

Overview

Mixpanel offers real-time event analytics and customizable dashboards, enabling travel analytics teams to track traveler interactions across devices and optimize booking funnels for higher engagement and conversions.

Key Features

• Event tracking and funnel analysis: Tracks traveler actions and booking steps in detail.
• Cohort and retention reports: Identify traveler behavior trends over time.
• User segmentation and targeting: Enables personalized marketing campaigns.
• A/B testing and messaging integrations: Supports experimentation on offers and UX.
• Mobile and web analytics support: Covers traveler activity on apps and websites.
• Self-serve data exploration: Travel marketers can explore insights without technical help.

Best Use

Best for travel teams that require fast, real-time insights to increase user engagement and booking rates.

Limitations

It gets pricey with large volumes of travel user data or events. Advanced teams might layer it with other data warehousing or in-house analytics to cover any gaps.

4. Pendo

Overview

Pendo blends product usage analytics with in-app messaging and user feedback tools, helping travel companies improve feature adoption, onboarding, and the overall booking experience.

Key Features

• Product usage analytics: Monitors how travelers interact with booking features.
• In-app messaging and walkthroughs: Guides users through complex booking flows.
• User feedback collection and NPS surveys: Captures traveler satisfaction and suggestions.
• Feature adoption tracking: Measures uptake of new travel options or services.
• Segmentation and cohort analysis: Targets traveler groups for personalized campaigns.
• Integrations with CRM and support tools: Connects travek product analytics with customer service workflows.

Best Use

Ideal for travel tech companies focused on user engagement, onboarding, and improving the in-app booking journey.

Limitations

Mainly centered on product usage analytics, with limited ability to handle custom data models or complex travel data analysis.

5. Houseware (acq. LaunchDarkly)

Overview

Houseware is a next-generation warehouse-native analytics platform built for businesses that want no-code, scalable product analytics running directly on their cloud data warehouses.

Key Features

• Native integration with Snowflake, BigQuery, Redshift: Connects seamlessly to travel data warehouses.
• No-code funnel, retention, and trend analysis: Easily analyze booking trends and traveler retention.‍
• Customizable, shareable dashboards: Facilitates collaboration across travel teams.‍
• Real-time analytics on live warehouse data: Provides up-to-date traveler insights.‍
• Scalable architecture with minimal engineering overhead: Grows with travel business demands.‍
• Collaboration tools for cross-team insights: Supports alignment between marketing, product, and analytics teams.

Best Use

Best suited for travel companies using cloud data warehouses who want reliable, scalable analytics without data duplication.

Limitations

Still developing its travel data ecosystem, with fewer third-party integrations and a more limited feature set compared to long-established platforms.

Conclusion

Each tool suits different needs in the travel industry:

• Amplitude is great for teams needing deep behavioral analytics to boost bookings and retention.
• Mixpanel fits mid-sized travel companies looking for fast, real-time user insights and funnel tracking.
• Mitzu is ideal for companies with large travel datasets and a cloud data warehouse, offering scalable, warehouse-native analytics.
• Pendo works best for improving in-app booking flows and increasing feature adoption with built-in user feedback tools.

Choose based on your data size, tech stack, and whether your focus is on conversion, engagement, or scalability.