
Frameworks, core principles and top case studies for SaaS pricing, learnt and refined over 28+ years of SaaS-monetization experience.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Join companies like Zoom, DocuSign, and Twilio using our systematic pricing approach to increase revenue by 12-40% year-over-year.
Strategic pricing is the cornerstone of success for hotel point-of-sale software providers, directly impacting both acquisition rates and long-term customer value in this competitive vertical. Effective pricing strategies can transform your hotel POS software from a commodity to a value-driven solution that captures appropriate returns on your innovation investment.
Revenue Maximization: Properly priced hotel POS software can drive significant revenue improvements, with studies showing that AI-powered dynamic pricing tools deliver up to 19.25% increases in RevPAR (Revenue per Available Room) for hotels using these features (Lighthouse, 2024).
Competitive Differentiation: The hotel POS software market is projected to reach significant growth by 2030, making strategic pricing a key differentiator in an increasingly crowded marketplace (Grand View Research, 2023).
Customer Value Alignment: Hotels operate in environments with highly variable demand influenced by seasonality, local events, and competitor actions—creating an opportunity for value-based pricing aligned with the measurable revenue impacts your software delivers (InnQuest, 2023).
Hotel POS software operates in one of the most dynamic pricing environments across all industries. Hotels face constant fluctuations in demand based on seasonality, day-of-week patterns, local events, and competitive pricing changes. This creates unique challenges when pricing software that must deliver value across these variable conditions.
According to research by Market Research Future (2025), successful hotel POS software must accommodate these fluctuations through flexible pricing models that align with the hotel's own pricing dynamics. The software's ability to support dynamic pricing strategies has become a key purchase consideration for hospitality executives evaluating POS solutions.
Hotel POS systems represent a critical operational hub that must seamlessly integrate with numerous other hotel systems, including property management systems (PMS), customer relationship management (CRM), reservation platforms, and payment processors. This integration complexity creates challenges in value attribution and pricing models.
Grand View Research (2023) reports that integration capabilities rank among the top three purchase criteria for hotel technology decision-makers. However, this integration requirement creates pricing challenges:
Hotels increasingly demand SaaS solutions with demonstrable ROI, particularly as they adopt AI-powered features. According to Wheelhouse (2022), pricing models that align with measurable outcomes (like RevPAR improvement) are gaining traction, but implementing these models requires:
The hospitality industry presents unique challenges in choosing between user-based and consumption-based pricing models. Hotels experience significant staffing fluctuations based on seasonality, creating challenges for user-based pricing. Simultaneously, transaction volumes vary dramatically throughout the year.
Research from InnQuest (2023) indicates that the most successful hotel software providers are implementing hybrid pricing models that combine:
The rapid evolution of technology in the hotel POS space—particularly AI, mobile capabilities, and contactless solutions—creates challenges in feature monetization. Market Research Future (2025) reports that hospitality point-of-sale software is undergoing significant transformation with AI-powered features becoming standard offerings.
This evolution raises critical pricing questions:
At Monetizely, we bring over 28 years of combined experience in SaaS and technology pricing strategy to help hotel point-of-sale software providers optimize their monetization approach. Our team has held leadership positions at companies like Zoom, Twilio, DocuSign, Squarespace, and LinkedIn, giving us unique insights into successful pricing strategies for vertical SaaS solutions.
While we don't exclusively specialize in hotel software, our expertise in usage-based pricing models, subscription optimization, and value-based pricing translates perfectly to the unique challenges facing hotel POS software providers. We understand the critical balance between transaction-based elements, user licenses, and value-based components that successful hotel technology providers must achieve.
For hotel point-of-sale software companies, we offer a tailored approach that addresses the unique challenges of this vertical:
Dynamic Value Alignment: We help you develop pricing models that align with the dynamic nature of hotel operations, potentially incorporating elements that scale with transaction volume, occupancy rates, or revenue impact.
Feature Prioritization and Packaging: Using our proprietary Max Diff analysis, we identify which features drive the highest value perception among hotel customers, enabling you to create packages that maximize willingness to pay.
Competitive Differentiation Strategy: We analyze competitor pricing structures to identify opportunities for differentiation, particularly around high-value integration points and AI-powered features.
Usage-Based Pricing Optimization: For companies considering or implementing consumption-based pricing, we provide guidance on metric selection, unit economics, and transition strategies from traditional subscription models.
Our services for hotel point-of-sale software providers include:
Pricing Diagnostic: We conduct a comprehensive analysis of your current pricing model, including financial analysis, internal stakeholder interviews, and sales data review to identify optimization opportunities.
Strategic Product Innovation Pricing: For new features like AI-powered dynamic pricing tools or mobile capabilities, we develop pricing strategies that capture appropriate value while encouraging adoption.
Pricing Model Shifts: We guide companies through transitions from traditional license models to subscription or usage-based approaches, or help optimize existing subscription structures.
Customer Segmentation & Value Mapping: We help identify distinct customer segments within the hotel industry (from boutique to enterprise chains) and develop targeted pricing strategies for each.
Pricing Research: Using Van Westendorp surveys, conjoint analysis, and our unique in-person qualitative studies, we validate pricing and packaging approaches across a sample of clients and prospects.
While we don't have hotel-specific case studies to share, our proven methodology has delivered significant results across similar B2B SaaS verticals:
Helped a $10M ARR software company transition from lump-sum subscriptions to a structured pricing model with clear packaging and metrics, resulting in more consistent sales and reduced friction in the sales process.
Guided companies through packaging optimization, reducing complexity while improving value perception and willingness to pay.
Developed hybrid pricing metrics that combine user-based and usage-based elements to align with customer value perception.
We offer two primary engagement models:
One-Time Pricing Revamp Project: A comprehensive engagement to transform your pricing strategy, including market research, pricing model development, and implementation support.
Outsourced Pricing Research Function: Ongoing support including quarterly pricing performance reports, financial analysis, and pricing optimization to continuously refine your approach.
Both options include workshops, enablement tools, and training to ensure successful implementation across your organization.
By partnering with Monetizely, hotel point-of-sale software providers gain access to world-class SaaS pricing expertise tailored to their unique industry challenges, helping them optimize monetization while delivering clear value to their hotel customers.
Join companies like Zoom, DocuSign, and Twilio using our systematic pricing approach to increase revenue by 12-40% year-over-year.
1
None of the other premier consultants have actually implemented complex pricing within companies like Twilio and Zoom. This requires operational systems understanding, not just strategy.
In addition, other consultants often "over egg the pudding", they know customers will buy approaches as long as they look/feel scientific, yet we have multiple customers who have spent more >$100k each on conjoint analysis which did not help them at all. We are careful with where we ask you to spend your money.
2
Willingness to pay is context-dependent and works best when analyzed alongside packaging and pricing metrics. We use structured surveys like Van Westendorp, Max Diff, Conjoint Analysis as well as in-person research interviews to gather actionable data.
3
The cost of milk or a McDonald's burger inflates. However, SaaS prices almost always deflate and requires both adjustment of product packages as well as innovation to remain relevant.
Additionally, AI adoption will drive a shift from user-based pricing to more usage/consumption based models to accommodate the very high costs of serving these products. Expect to see deflation over time here as well as the the cost of serving AI products drops by multiples every month.
4
We want to monitor discounting % per package, usage of features within the packages, upsell rate of features to see whether we have a good pricing motion or whether it needs adjusting.
5
The Monetizely team has over 28 years of collective experience in software pricing, having previously worked with industry leaders like Twilio, Zoom and DocuSign, ensuring expert guidance in SaaS pricing strategies.
6
We recommend doing a better job on the pricing testing phase and to mitigate risk roll out the pricing in a phased manner.
For 80-90% of cases, we do not recommend A/B testing as that creates too much market confusion and overhead (in certain cases, doing an advance roll out in a different geo can work).
7
Competitive information is helpful but only a small piece of the picture. Competitors are in different stages of growth. Their product functionality is also different.
We recently had a client where sales teams pushed for lower pricing to compete with current rivals, but the company’s strategic vision aimed to evolve into a new category, making the competitive pricing data less relevant.
8
To kickstart your SaaS pricing optimization, consider consulting with the experts at Monetizely. You can also deepen your understanding by reading our book "Price to Scale" and enrolling in "The Art of SaaS Pricing and Monetization" course on Maven. These resources are crafted to equip you with the necessary skills and knowledge to refine your pricing strategy effectively.