Automatic Pricing (by Dataria) vs. Revolution Plus:
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The Decision

Choosing between Dataria's Automatic Pricing and Revolution Plus by Franco Grasso hinges on your hotel's specific revenue management needs. Both systems aim to optimize your room rates and maximize revenue but diverge significantly in approach, data sources, and target user profiles. While Dataria emphasizes automation and simplicity, Revolution Plus offers a more comprehensive, AI-driven platform with personalized support. What factors matter most to your team — automation or in-depth control?

Both products aim to improve your hotel's profitability through dynamic pricing. Dataria's focus is on automating the calculation of room prices based on competition and occupancy, making it ideal for hotels seeking minimal manual input. Revolution Plus, meanwhile, combines extensive historical data with real-time market insights, offering tailored recommendations. Which approach aligns better with your hotel's revenue strategy?

Is Dataria or Revolution Plus Better for Hotels?

Dataria's core strength lies in automating price adjustments based on occupancy, competitor prices, and demand, with an emphasis on simplicity and automation for smaller to mid-sized hotels. Revolution Plus, however, is built on a robust AI engine that uses a vast dataset from thousands of properties worldwide, making it more suitable for larger hotel chains and resorts seeking granular control.

Dataria has a limited review base—only 4 reviews in total, with no recent feedback—indicating a less proven track record. Conversely, Revolution Plus boasts 212 reviews, with 5 recent ones in the last six months, reflecting active user engagement and ongoing improvements. The recent reviews of Revolution Plus are overwhelmingly positive, giving it a stronger reputation for reliability and performance. Do you prefer a system backed by extensive recent feedback or a simpler, smaller-scale tool?

Dataria vs Revolution Plus: Which Should Your Hotel Choose?

If your hotel is a boutique property or a city center hotel that prefers automatic, straightforward rate adjustments, Dataria may be the right fit. Its user-friendly interface, high onboarding ratings (5/5), and strong value for money make it suitable for teams wanting quick results with minimal fuss.

If you operate a larger property, resort, or chain with complex revenue strategies, Revolution Plus is the clear choice. Its extensive features—such as detailed analytics, in-depth data analysis, and multiple integrations—coupled with a high ease-of-use rating (4.84/5), appeal to teams that want control and detailed insights. Hotels needing personalized, AI-driven solutions should prioritize Revolution Plus.

Is Dataria or Revolution Plus Easier to Use?

Dataria scores 4.5/5 for ease of use, with a very intuitive interface and a flawless onboarding process rated 5/5. Its limited feature set simplifies implementation, making it ideal for teams new to revenue management or those seeking quick deployment.

Revolution Plus earns a near-perfect 4.84/5, with many reviews praising its user-friendly design. Despite being feature-rich, its interface is straightforward, and support from Franco Grasso’s team ensures smooth onboarding. The recent user reviews highlight ease of adoption at every level. Edge: Revolution Plus.

Which Has Better Features: Dataria or Revolution Plus?

Dataria offers 11 features exclusive to its platform, including advanced tools like enterprise business guidelines, five-year forecasting, and flexible competitor data—features tailored for strategic long-term planning. Revolution Plus, with 3 unique features such as group pricing and displacement analysis, provides robust real-time adjustments and market insights.

In total, Dataria has 42 shared features with Revolution Plus, but its niche focus on automation and tailored algorithms makes it a solid choice for specific needs. Revolution Plus excels in dynamic analytics, reporting, and handling complex property types. For feature depth and variety, Revolution Plus holds a slight edge.

Which Has Better Customer Support: Dataria or Revolution Plus?

Dataria’s customer support is rated a perfect 5/5, with reviews emphasizing their personalized, supportive onboarding and ongoing assistance. Users appreciate their responsiveness and understanding of hotel operations, which fosters trust and confidence.

Revolution Plus scores 4.92/5, with recent reviews describing Franco Grasso’s team as attentive, responsive, and providing excellent ongoing support. Users mention the value of dedicated revenue managers who help interpret data and optimize strategies. Edge: Dataria.

Which Has More Integrations: Dataria or Revolution Plus?

Revolution Plus boasts 15 verified partners, including industry giants like WuBook, Oracle Hospitality, and Octorate, giving it broader integration options. Dataria's 3 partners include Mews and Neobookings, with fewer options for seamless system connections.

While Dataria’s integrations cover essential channels, Revolution Plus’s extensive partner network offers more flexibility and scalability, especially for larger properties or those with complex tech stacks. Edge: Revolution Plus.

Which Do Hoteliers Rate Higher: Dataria or Revolution Plus?

Revolution Plus’s 212 reviews show a high rating, with recent feedback praising its ability to increase revenue, ease of use, and analytical depth. Hotels across segments—including resorts, B&Bs, and city hotels—rate it favorably, with many citing improvements in RevPAR and occupancy.

Dataria, with only 4 reviews, has a perfect 5/5 rating, but the small sample size and lack of recent data make it less reliable for judging overall satisfaction. The recent, detailed reviews of Revolution Plus suggest it is more trusted among active users. Edge: Revolution Plus.

How Much Do Dataria and Revolution Plus Cost?

Both products are priced at a base rate of $400 per month, with no additional implementation or trial fees. Neither offers a freemium model, and pricing is straightforward—making it easier to compare value.

However, the greater feature set and user reviews favor Revolution Plus, indicating it may deliver more ROI given its broader capabilities and larger user base.

What Type of Hotel Should Use Dataria?

• Hotels that prefer automation and minimal manual control over pricing.
• Properties looking for a quick-to-deploy system with high onboarding satisfaction.
• Small to medium-sized city hotels seeking a straightforward revenue management tool.
• Teams that want to avoid complex configurations and focus on easy automation.
• Not ideal if your hotel requires detailed control, extensive analytics, or long-term strategic planning.

What Type of Hotel Should Use Revolution Plus?

• Large hotels, resorts, and chains with complex revenue strategies.
• Hotels that need in-depth analytics, detailed forecasting, and market insights.
• Properties with multiple room types and segments requiring granular rate management.
• Teams seeking a flexible, customizable system with extensive integrations.
• Not ideal if your hotel prefers a simple, low-maintenance tool or has limited tech support resources.

Revolution Plus vs Dataria: The Bottom Line for Hotels

Revolution Plus is a comprehensive, AI-powered revenue management system with a proven track record, extensive features, and a strong user community. Its large number of recent reviews and high ratings suggest it’s well-supported and trusted by hotels worldwide.

Dataria offers a streamlined, automation-focused platform ideal for smaller properties or those new to revenue management. Its simplicity and high onboarding score make it suitable for hotels seeking quick, reliable results without complex features.

If your hotel needs in-depth control, analytics, and a proven track record, Revolution Plus is the better choice. If automation, ease of use, and quick deployment are your priorities, then Dataria could suffice—though it has fewer recent reviews and less widespread adoption.

This comparison is based on the latest available reviews, feature data, and industry insights. For a tailored recommendation, consider testing both systems in your operational context.