
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.
Strategic pricing for Order Management Systems is a critical business decision that directly impacts both vendor profitability and customer adoption in this competitive technology sector. Research indicates that effective pricing strategies are essential for OMS providers to capture fair value for their solutions while meeting diverse client needs.
Order Management Systems present unique pricing challenges due to their position at the center of business operations technology stacks. These solutions must seamlessly integrate with multiple systems including CRM platforms, inventory management, ecommerce storefronts, logistics software, and ERP systems. This integration complexity directly impacts pricing models, as the value delivered varies significantly based on the number and types of integrations required.
The most successful OMS pricing approaches account for this integration diversity by offering modular pricing components that align with customer integration needs. This prevents both overcharging customers with simple requirements and undervaluing comprehensive enterprise deployments requiring extensive integration work.
Modern OMS solutions must handle orders across multiple channels simultaneously, creating significant pricing challenges. Research indicates that retailers increasingly demand unified order processing capabilities across physical stores, online portals, mobile apps, and marketplace integrations. According to Shopify Enterprise research, this omnichannel functionality delivers measurable operational efficiencies that customers are willing to pay premium prices to obtain Shopify.
OMS vendors adopting value-based pricing models have demonstrated success by anchoring their pricing to the quantifiable benefits of streamlined order management rather than to feature counts alone. This approach requires sophisticated value articulation but results in higher subscription retention and expansion rates.
The OMS market presents a unique pricing challenge related to deployment preferences. While cloud-based SaaS subscription models dominate many software categories, a significant segment of OMS customers still prefer on-premises deployment options for customization and security reasons.
This bifurcated market requires sophisticated pricing models that can accommodate both deployment approaches while maintaining consistency in value delivery. Leading OMS providers have developed hybrid pricing frameworks that align pricing metrics across deployment models while accounting for the different cost structures and value delivery mechanisms.
As artificial intelligence capabilities become increasingly central to OMS functionality, pricing these advanced features presents new challenges. Features like predictive inventory management, automated order routing, and demand forecasting deliver substantial value but are difficult to price using traditional metrics.
Industry research indicates that the most effective OMS pricing strategies incorporate AI capabilities using outcome-based pricing components tied to measurable improvements in order processing efficiency, inventory optimization, or customer satisfaction metrics Prisync.
Order volumes in many businesses fluctuate dramatically based on seasonality, promotions, or business growth. This variability creates challenges for traditional user-based OMS pricing models, as the system value doesn't necessarily correlate directly with user counts.
Progressive OMS vendors have responded by implementing consumption-based pricing elements that better align with actual system usage and delivered value. These models typically combine a platform fee with variable usage components based on order volume, transaction counts, or other usage metrics that reflect actual system utilization.
Monetizely brings deep expertise in optimizing pricing strategies for Order Management Systems, having helped numerous technology companies align their pricing approaches with market demands and customer expectations. Our specialized understanding of the OMS sector enables us to develop pricing models that maximize revenue while driving customer adoption.
Monetizely employs a comprehensive suite of pricing research methodologies specifically adapted for the OMS market, including:
Value-Based Pricing Analysis: We identify and quantify the specific value drivers that matter most to OMS customers, enabling precise alignment between pricing models and customer-perceived value.
Feature Prioritization Research: Using sophisticated Max Diff analysis, we determine which OMS capabilities justify premium pricing and which should be included in core offerings.
Pricing Power Assessment: Our team analyzes pricing metrics across geographic regions, customer segments, and solution tiers to optimize revenue generation for OMS providers.
In-Person Qualitative Studies: Monetizely's unique approach includes targeted interviews with OMS users and buyers to validate pricing structures and package configurations.
Our specialized services for Order Management Systems providers include:
Pricing Metric Selection & Optimization
We guide OMS providers in selecting optimal pricing metrics that align with customer usage patterns and value perception. For example, we recently helped an IT Infrastructure Management Software company implement a combination pricing metric based on users and company revenue, creating a consistent pricing model that eliminated sales friction.
Feature Packaging & Tier Structuring
Monetizely excels at organizing OMS features into compelling packages that resonate with different customer segments. Our approach has helped SaaS companies rationalize complex feature sets into streamlined packages that increase average deal sizes by 15-30%.
Usage-Based Pricing Implementation
For OMS providers looking to implement consumption-based pricing models, Monetizely delivers proven frameworks that incorporate platform fees with usage components while preventing revenue reduction. Our methodology has saved clients from potential 50% revenue reductions during pricing model transitions.
Go-to-Market Pricing Strategy
We ensure that OMS pricing strategies align perfectly with go-to-market approaches, particularly for enterprise-focused solutions requiring high-touch sales processes. This alignment creates pricing clarity that accelerates sales cycles and improves close rates.
Monetizely worked with a $30 million ARR eCommerce Customer Experience SaaS provider whose Order Management functionality was suffering from declining average selling prices after a failed pricing model implementation. Our team revamped their packaging and pricing approach to better align with their enterprise-focused go-to-market strategy.
The results were transformative:
Monetizely stands apart from traditional pricing consultants through our product-first approach. As former Product Managers and Marketers with deep SaaS experience, we understand the unique challenges of OMS solutions from both product and market perspectives. This background enables us to develop pricing strategies that not only optimize revenue but also accelerate product adoption and market penetration.
Our agile, in-person structured research methodology delivers more actionable insights than traditional waterfall approaches, with significantly lower costs than conventional consulting engagements. This capital-efficient approach makes sophisticated pricing optimization accessible to OMS providers at all growth stages.
With 28+ years of operational experience in SaaS and technology markets, Monetizely delivers pricing expertise specifically tailored to the unique requirements of Order Management Systems. Our proven methodologies ensure that your OMS pricing strategy maximizes both revenue potential and market adoption.
Contact Monetizely today to discover how our specialized Order Management Systems pricing expertise can transform your revenue performance.
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.
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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.