
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.
The right pricing strategy can be the difference between struggling for growth and achieving sustainable revenue expansion in the maintenance management software sector. Effective pricing directly impacts customer acquisition costs, lifetime value, and overall profitability.
Maintenance management software serves diverse industries—from manufacturing to property management—each with unique operational requirements. This diversity creates significant pricing challenges. The core question becomes: what value metrics accurately reflect both usage patterns and delivered value?
Traditional per-seat pricing models often fail to capture the true value proposition of maintenance management solutions. While user count matters, the scale of assets managed—equipment units, properties, facilities—frequently represents a more accurate measure of the software's impact on operations.
The maintenance management market faces unique packaging challenges due to the wide range of features spanning from basic work order tracking to sophisticated predictive maintenance powered by AI. Creating coherent packages that align with customer segments while maintaining profitability requires deep market understanding.
Usage-based and consumption-based pricing models are gaining traction in this space, particularly for features leveraging IoT data and predictive analytics. According to Monetizely research, maintenance management solutions implementing hybrid pricing models—combining subscription fees with usage components—show 22% better revenue performance than flat-rate subscriptions alone.
SaaS pricing consultants with maintenance industry expertise understand that communicating value effectively requires industry-specific language and metrics. Decision-makers need to see pricing in terms of operational improvements: reduced downtime, extended equipment lifecycles, lower maintenance costs, and improved resource allocation.
The usage-based pricing trend is particularly relevant for maintenance management software that leverages IoT sensors and AI to predict equipment failures. These advanced capabilities justify premium pricing tiers but require clear value articulation—often in terms of quantifiable operational metrics like reduced downtime or maintenance cost savings.
Monetizely has significant experience transforming pricing strategies for maintenance management software companies. Our approach is tailored to the unique challenges of this vertical, addressing the complex balance between user-based and asset-based pricing metrics.
Monetizely partnered with a $10M ARR SaaS company in the IT infrastructure management space that was struggling with inconsistent sales and customer objections due to their lump sum subscription model. This approach provided no clear way to monetize strategic features or communicate value effectively.
Our team guided the company from an ad-hoc pricing model to a structured approach that:
The result was the company's first consistent pricing model, reducing sales friction and improving revenue predictability.
Monetizely offers two primary engagement models for maintenance management software companies:
Our software pricing consultants bring specialized knowledge of maintenance management workflows, customer value drivers, and industry-specific pricing metrics. We understand the challenges of balancing subscription pricing with usage-based components for advanced features like predictive maintenance, ensuring you capture appropriate value for these high-investment capabilities.
By partnering with Monetizely, maintenance management software companies benefit from pricing strategies that accurately reflect delivered value, improve sales effectiveness, and maximize revenue growth while maintaining customer satisfaction.
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.