
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.
Enterprise Resource Planning (ERP) software represents one of the most mission-critical investments for organizations, making strategic pricing a fundamental driver of both vendor success and customer satisfaction. Effective pricing strategies are essential in this space as they directly impact customer acquisition, retention, and long-term revenue growth.
ERP systems must accommodate numerous business functions across different departments, creating unique pricing challenges. Each module may have distinct user bases and usage patterns, requiring sophisticated pricing structures that align with how value is delivered and perceived. This complexity is further amplified when clients require customizations, integrations with existing systems, and specialized workflows.
Enterprise buyers are intensely focused on the ROI of their ERP investments. This creates tension between pricing based on perceived value and pricing based on actual implementation costs. According to research by Flinder (2025), enterprises prioritize pricing models that demonstrate clear value metrics tied to business outcomes such as process automation efficiency, improved forecasting accuracy, or measurable cost savings.
The most successful ERP pricing models must strike a delicate balance between flexibility and simplicity. Overly rigid flat-rate pricing fails to capture value variations across large enterprises with distinct usage patterns, resulting in lost revenue and poor customer satisfaction. Conversely, excessive complexity in contracts can cause delays, inconsistency, and lower profitability for vendors (Orb, 2025).
Recent market trends show a decisive shift toward usage-based and hybrid pricing models in ERP software. These models combine fixed subscription fees with variable components based on consumption metrics like active users, transaction volume, or data processing capacity. This approach aligns cost with actual value delivery and usage variability, creating a more equitable pricing relationship that scales with customer growth (Key Subscriptions, 2023).
As ERP systems increasingly incorporate AI-powered capabilities, pricing strategies must evolve to reflect the premium value these features deliver. Industry practice shows AI functionalities are typically priced as optional add-ons or included in higher-tier packages, reflecting their high perceived value and implementation costs. Monetizely research indicates that clearly communicating AI value in terms of business outcomes rather than technical features is essential to justify premium pricing (Monetizely, 2025).
Monetizely brings deep expertise in transforming pricing strategies for ERP and enterprise software companies, delivering measurable results through our specialized approach to SaaS pricing consultancy.
Our experience with enterprise software companies demonstrates our ability to create impactful pricing transformations. For example, we guided a $10 million ARR IT Infrastructure Management Software company from an ad-hoc pricing model to a structured approach. The client was struggling with inconsistent sales and customer objections due to selling lump sum subscriptions without specific packages or pricing metrics. Monetizely helped them:
Monetizely offers two main service tracks for ERP software companies:
Our ongoing pricing optimization services include:
For ERP companies seeking a complete pricing transformation:
What sets Monetizely apart from other pricing consultants in the ERP space:
By partnering with Monetizely, ERP software companies gain access to specialized expertise in SaaS pricing strategy that drives measurable business results through optimized pricing models, improved customer acquisition, and enhanced 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.
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.