
Frameworks, core principles and top case studies for SaaS pricing, learnt and refined over 28+ years of SaaS-monetization experience.
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Join companies like Zoom, DocuSign, and Twilio using our systematic pricing approach to increase revenue by 12-40% year-over-year.
In the rapidly evolving retail and hospitality sectors, strategic pricing is the difference between thriving and merely surviving, directly impacting both profitability and customer perception. Effective pricing strategies allow businesses to capture maximum value while maintaining competitive positioning in these highly customer-centric industries.
The retail and hospitality industries present unique pricing challenges due to their operational complexity, seasonal demand fluctuations, and diverse customer bases. Software providers serving these sectors must navigate pricing models that accommodate these dynamics while delivering clear value propositions.
Retail and hospitality businesses experience significant fluctuations in demand throughout the year. Traditional subscription pricing models often fail to account for these variations, creating friction during slow periods when businesses feel they're paying for unused capacity. Usage-based pricing has emerged as a critical solution, allowing technology costs to scale with actual business volume. However, this approach requires sophisticated metering capabilities and clear billing transparency to maintain customer trust.
From small independent boutiques to global hotel chains, the size and operational complexity of retail and hospitality businesses vary dramatically. This diversity makes one-size-fits-all pricing models ineffective. Successful pricing strategies must incorporate segmentation that accounts for business size, service offerings, and growth stage.
Pricing consultants specializing in these sectors have observed that rigid per-seat pricing models are particularly problematic, as staffing levels fluctuate seasonally and many roles may require only occasional system access. This has driven the adoption of more flexible consumption-based pricing metrics tied to business outcomes.
Modern retail and hospitality operations rely on complex ecosystems of integrated technologies. Point-of-sale systems, inventory management, customer relationship management, property management systems, and online booking platforms must work seamlessly together. This integration complexity presents unique pricing challenges:
SaaS companies successful in these sectors have moved toward hybrid pricing models that combine stable platform fees with usage components tied to relevant business metrics like transactions processed, rooms booked, or inventory turnover.
The rapid adoption of AI-powered capabilities in retail and hospitality has created new pricing model opportunities. Dynamic pricing engines, customer personalization tools, and demand forecasting features deliver quantifiable value but require new approaches to monetization.
Industry trends show AI features are increasingly priced separately from core functionality, using outcome-based metrics that align with value delivery. For example, recommendation engines might be priced based on incremental sales generated, while forecast tools might use accuracy metrics.
Monetizely has established itself as a leading pricing strategy consultant for the retail and hospitality sectors, helping technology providers optimize their pricing models to capture maximum value while addressing industry-specific challenges.
One of our signature achievements was transforming pricing strategy for a $30-40M ARR eCommerce customer experience SaaS provider. After experiencing declining average selling prices from a poorly implemented pricing model, Monetizely revamped the company's packaging and pricing to better align with their go-to-market motion.
The results were transformative:
Monetizely has pioneered the implementation of usage-based pricing models for retail and hospitality technology providers. In one case study, we helped a major digital communications SaaS provider implement usage-based pricing ($/voice minute and $/message) to enable new use cases for their contact center offering while fending off competitive threats.
Our approach delivered exceptional results:
Monetizely employs a multi-faceted research approach to develop optimal pricing strategies for retail and hospitality clients:
Monetizely offers specialized services designed for the unique needs of technology providers serving retail and hospitality markets:
Pricing Model Selection: Evaluating and recommending appropriate models (subscription, usage-based, hybrid) based on your specific product and market position
Package Rationalization: Streamlining complex product offerings into clear, value-aligned packages that resonate with retail and hospitality buyers
Metric Development: Creating pricing metrics that align with customer value perception and usage patterns specific to retail and hospitality workflows
Go-to-Market Strategy Alignment: Ensuring pricing approaches complement sales motions, marketing messages, and channel strategies
Implementation Support: Providing comprehensive guidance on operationalizing new pricing models across product, sales, and finance teams
Our team's deep expertise in both SaaS pricing best practices and retail/hospitality industry dynamics allows us to develop pricing strategies that maximize revenue while addressing sector-specific challenges.
By partnering with Monetizely, retail and hospitality technology providers gain access to proven methodologies, industry benchmarks, and expert guidance that transform pricing from a necessary function to a strategic advantage. Our clients consistently achieve higher average selling prices, improved customer retention, and stronger competitive positioning through optimized pricing strategies.
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.