
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.
Effective pricing strategy is the cornerstone of sustainable growth for backup and storage SaaS providers, directly impacting customer acquisition costs, retention rates, and overall profitability. Strategic pricing decisions can be the difference between market leadership and obscurity in this rapidly evolving sector.
The backup and storage SaaS sector faces distinct pricing challenges that require specialized approaches beyond standard SaaS pricing methodologies. Understanding these nuances is essential for sustainable growth.
Backup and storage providers must navigate the tension between predictable subscription revenue and customer demands for consumption-based pricing. Traditional subscription models provide revenue stability but may alienate customers with variable storage needs. Conversely, pure usage-based models align with customer preferences but can introduce revenue unpredictability.
Modern backup and storage SaaS companies increasingly adopt hybrid pricing strategies that incorporate both subscription and usage components. This approach provides a baseline of recurring revenue while allowing customers to scale costs with actual consumption, creating a win-win scenario that supports both business stability and customer flexibility2.
Backup solutions must meet stringent regulatory requirements including GDPR, HIPAA, and industry-specific mandates. These compliance capabilities represent significant value, particularly for enterprise customers, and warrant premium pricing tiers. The challenge lies in quantifying and communicating this value in pricing structures without creating unnecessary complexity1.
Storage providers must carefully consider how to price security features, particularly AI-powered capabilities like ransomware detection and automatic threat response. These features often justify premium pricing but require clear articulation of ROI to overcome purchase objections.
The exponential growth of enterprise data presents unique pricing challenges for backup and storage providers. Pricing structures must accommodate customer growth without creating cost shocks that trigger churn or competitive displacement.
Forward-thinking providers implement tiered volume pricing with predictable breakpoints or declining per-unit costs as storage volumes increase. This approach rewards customer growth while maintaining reasonable margins across customer lifecycle stages3.
Recovery time objectives (RTOs) and recovery point objectives (RPOs) represent critical value dimensions in backup solutions. Faster recovery capabilities typically justify premium pricing, creating opportunities for tiered performance-based pricing structures. The challenge lies in creating meaningful performance tiers without unnecessarily limiting core functionality in lower tiers.
Monetizely brings proven expertise to backup and storage SaaS companies seeking to optimize their pricing strategies. Our approach combines data-driven analysis with industry-specific insights to create pricing models that drive growth while meeting customer expectations.
A $10M ARR SaaS company specializing in IT infrastructure management (which included backup and storage functionality) was struggling with inconsistent sales and customer objections due to their lump sum subscription model without specific packages or pricing metrics. This approach also limited their ability to monetize new strategic features effectively.
Monetizely transformed their pricing approach with remarkable results:
The result was the successful launch of the company's first consistent pricing model, reducing sales friction and enabling more predictable revenue growth.
For backup and storage providers considering a shift to usage-based pricing, Monetizely offers specialized expertise. Our work with a $3.95B digital communication SaaS leader demonstrates our capabilities in this area. When their Contact Center BU needed to introduce usage-based pricing ($/voice minute and $/message) to counter competitive threats and enable new use cases, Monetizely successfully:
This structured approach to usage-based pricing is directly applicable to backup and storage providers, where consumption metrics are increasingly important to customer satisfaction and competitive positioning.
Monetizely excels at packaging rationalization for backup and storage providers with complex product portfolios. Our experience with a $30-40M ARR SaaS company demonstrates our ability to drive significant revenue improvements through optimized packaging:
For backup and storage providers with multiple product lines or feature sets, our packaging expertise translates directly to improved deal sizes and sales efficiency.
Monetizely's consulting services are designed to help backup and storage SaaS companies stop leaving money on the table. Our team brings specialized expertise in:
Through our proven methodologies and backup/storage industry expertise, we help SaaS providers create pricing strategies that drive sustainable growth, improve competitive positioning, and enhance 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.