
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.
Pricing strategy is the critical differentiator in the hypercompetitive superapp market, where multiple services converge within a single platform to create complex value ecosystems. The right pricing approach not only determines profitability but shapes user adoption, engagement patterns, and the long-term viability of these complex digital platforms.
Superapps present unique pricing challenges due to their diverse service offerings within a single platform. Unlike traditional SaaS products, superapps integrate payments, messaging, commerce, transportation, and financial services—each with distinct value propositions and competitive benchmarks. This complexity necessitates sophisticated, multi-dimensional pricing models that capture value across varied user journeys while maintaining overall coherence.
Traditional per-seat or flat-rate subscription models fall short for superapp ecosystems. Research from CloudZero shows that over 40% of SaaS companies are shifting away from these rigid structures toward more flexible, usage-based pricing that better accommodates multi-service platforms.
Superapps face the challenge of creating pricing structures that appropriately balance value across all platform components. A critical consideration is how to assign pricing weight to high-usage but low-margin services versus less-frequent but high-value transactions.
Industry leaders like WeChat and Grab employ hybrid pricing models combining commission fees, tiered subscriptions, and usage-based components. This approach enables them to monetize across the user journey while maintaining competitive positioning in each vertical they serve. The most successful models leverage consumption-based metrics for transactional elements while using subscription tiers for premium features and enhanced service levels.
User behavior in superapps is highly dynamic, with significant cross-service interactions creating complex usage patterns. Pricing models must account for these interrelationships, where engagement in one service area often drives activity in others.
Value-based pricing tied to business outcomes has gained significant traction, showing 15-20% improved retention rates according to Boston Consulting Group research. This approach aligns pricing with measurable user success metrics rather than simple usage counts, creating stronger value perception and retention.
The integration of AI capabilities across superapp functions creates additional pricing complexity. From predictive analytics and personalization to fraud detection and dynamic pricing algorithms, AI features add significant value but require thoughtful monetization approaches.
Leading superapps typically embed AI capabilities within premium tiers rather than pricing them separately, using these advanced features to drive upsells while avoiding user confusion. This approach has proven effective for maintaining pricing clarity while differentiating value tiers.
Superapps operating across multiple geographies face varying regulatory requirements and market conditions affecting pricing strategy. From financial services regulations to localized competition, pricing models must be adaptable while maintaining global consistency.
Successful pricing strategies incorporate regional flexibility within a consistent global framework, allowing for market-specific adjustments without sacrificing overall platform coherence. This adaptability is particularly crucial in emerging markets where financial inclusion goals may necessitate alternative pricing approaches.
Monetizely brings a distinctive product-first perspective to superapp pricing strategy, drawing on 28+ years of operational experience in SaaS and technology markets. Unlike traditional pricing consultants who focus solely on pricing mechanics, our team approaches superapp pricing through the lens of product management and marketing, ensuring pricing strategies align with both market realities and product development cycles.
Our methodology is particularly well-suited to the multi-service nature of superapps, where conventional pricing models often fail to capture the full value of complex ecosystems. Through our agile, in-person structured research approach, we help superapp platforms develop pricing strategies that reflect the interrelated nature of their service offerings while maximizing revenue potential.
While we continue to expand our superapp-specific case portfolio, our work with complex SaaS platforms demonstrates our capability to handle multi-faceted digital ecosystems. For instance, we helped a $30 million ARR eCommerce SaaS company with multiple product lines rationalize from 12 to 5 core packages across 3 product lines, resulting in a 15-30% increase in average deal size and 100% sales team adoption.
This experience directly translates to the superapp context, where service consolidation and package optimization are critical challenges. Our approach focuses on aligning pricing with go-to-market strategy while ensuring sustainable value capture across all platform components.
Monetizely employs a comprehensive research methodology specifically designed to uncover the unique value dimensions of complex digital platforms like superapps:
Statistical/Quantitative Analysis: We implement Van Westendorp surveys for price point measurement, conjoint analysis for comprehensive package identification, and Max Diff methodologies for feature prioritization.
Empirical Data Assessment: Our approach includes analyzing pricing power across geographies, segments, and tiers, as well as evaluating tier/package performance through discounting, usage, and shelfware analysis.
In-Person Qualitative Studies: Monetizely's unique approach to validating pricing and packaging involves direct engagement with clients and prospects, ensuring strategies reflect actual market perceptions rather than theoretical models.
This multi-dimensional research methodology enables us to develop pricing strategies that account for the interconnected nature of superapp ecosystems, creating value-based models that maximize adoption and revenue.
For superapp developers and operators, Monetizely offers a structured path to pricing transformation:
Strategic Pricing Alignment: We help align pricing strategy with your superapp's go-to-market approach, ensuring coherence between pricing models and business objectives.
Package Rationalization and Optimization: Our proven methodology helps superapp platforms develop clear, compelling packaging structures that communicate value across multiple service offerings.
Hybrid Pricing Model Development: We guide the creation of customized pricing models combining subscription, usage-based, and transactional elements appropriate for multi-service digital ecosystems.
Pricing Metric Innovation: Our team specializes in developing innovative pricing metrics that capture value across diverse platform components, as demonstrated in our work creating combination pricing metrics for complex SaaS products.
Through this comprehensive approach, Monetizely helps superapp platforms develop pricing strategies that drive adoption, maximize revenue, and create sustainable competitive advantage in this rapidly evolving market.
Monetizely's capital-efficient approach to pricing strategy delivers powerful results without the excessive costs of traditional consulting methodologies. Our specialized expertise in SaaS and technology pricing makes us the ideal partner for superapp platforms seeking to optimize their pricing strategy in this complex, competitive market.
Contact us today to discuss how our proven approach can help your superapp platform develop a pricing strategy that maximizes value across your entire digital ecosystem.
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.