
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.
Pricing strategy in Manufacturing Execution Systems (MES) is a critical differentiator that directly impacts both market penetration and long-term customer value realization. Effective pricing models can unlock significant revenue potential while addressing the unique operational challenges manufacturers face in their digital transformation journey.
Manufacturing Execution Systems serve a remarkably heterogeneous customer base spanning aerospace, automotive, pharmaceuticals, and discrete manufacturing—each with distinct operational requirements and value drivers. This diversity creates significant pricing challenges as MES providers must develop models that address segment-specific needs while maintaining profitable economics.
Large enterprises in regulated industries like aerospace, defense, and pharmaceuticals typically prioritize on-premise, highly secure MES deployments to meet stringent compliance requirements and protect intellectual property. These segments often value robust feature sets and are less price-sensitive, but demand clear ROI validation for substantial investments. Conversely, mid-sized manufacturers increasingly favor cloud or hybrid deployments for scalability and cost control, requiring more flexible subscription-based pricing approaches.
MES pricing must account for the significant variance in deployment complexity across manufacturing environments. Integration with existing ERP systems, legacy equipment, and proprietary production systems creates substantial implementation challenges that directly impact perceived value and appropriate pricing models.
Usage-based pricing models have emerged as particularly effective for cloud-based MES solutions, allowing manufacturers to align costs with production scale and operational outcomes. However, these models require sophisticated metering capabilities and clear value metrics to be successfully implemented. For on-premise deployments, traditional licensing models with tiered feature sets remain prevalent but increasingly incorporate more flexible components to address evolving customer expectations.
The integration of artificial intelligence and advanced analytics capabilities into MES platforms represents both a significant value opportunity and a pricing challenge. AI-enhanced features like predictive maintenance, quality analytics, and production optimization deliver substantial operational benefits but require clear value articulation to justify premium pricing.
Most market leaders have adopted modular pricing approaches for AI capabilities, either bundling these features within premium tiers or offering them as value-added modules with separate pricing. This segmentation allows vendors to capture appropriate value from sophisticated AI capabilities while providing entry-level options for price-sensitive segments.
Small and medium enterprises (SMEs) represent a substantial growth opportunity for MES providers but face significant affordability challenges with traditional pricing models. High upfront costs and complex licensing structures have historically limited SME adoption, creating a market gap for appropriately priced, scalable solutions.
Innovative vendors are addressing this challenge through SaaS consumption-based pricing models that lower entry barriers while allowing for revenue expansion as customers grow. These approaches reduce initial investment requirements and align pricing with the actual value realized, making MES solutions more accessible to the underserved SME segment.
Monetizely brings over 28 years of operational pricing leadership experience from technology leaders including Zoom, Twilio, DocuSign, and LinkedIn—providing unmatched practical expertise in implementing successful pricing strategies for complex B2B software systems like MES.
Our Manufacturing Execution Systems pricing diagnostic delivers a thorough assessment of your current pricing structure against evolving industry standards. We analyze pricing performance by tier, package, and product line, examining critical metrics including ARR, discounting patterns, and upsell rates to identify specific opportunities for optimization. This diagnostic includes:
Monetizely helps MES providers develop sophisticated customer segmentation frameworks that align pricing models with the distinct needs of different manufacturing sectors. Our methodology ensures your packaging and pricing structure addresses the unique requirements of:
For each segment, we map specific capabilities to customer value drivers, ensuring your pricing structure reflects the actual value delivered to each customer type—a critical factor in the highly specialized MES market.
Leveraging our expertise in SaaS and technology pricing, we develop tailored pricing models for MES providers that balance competitive positioning with optimal value capture. Our approach includes:
We employ sophisticated research methodologies tailored to the complex B2B nature of Manufacturing Execution Systems, avoiding expensive standard methods like conjoint analysis that often fail in enterprise settings. Our approach includes:
Monetizely provides comprehensive support for implementing new MES pricing strategies, addressing the unique challenges of complex manufacturing software environments. Our implementation services include:
For MES providers seeking continuous pricing optimization, we offer ongoing pricing performance monitoring and adjustment services including:
By partnering with Monetizely, Manufacturing Execution Systems providers gain access to specialized pricing expertise that addresses the unique challenges of this complex market. Our approach combines data-driven analysis with practical operational experience to develop pricing strategies that maximize both market adoption and long-term revenue growth.
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.