
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 is the cornerstone of success in the Enterprise Information Archiving (EIA) market, directly impacting both revenue growth and competitive positioning in this rapidly evolving sector. A well-crafted pricing strategy enables EIA providers to capture value while addressing the complex compliance and data management needs of enterprise clients.
Enterprise Information Archiving solutions face unique pricing challenges due to the expanding diversity of content types requiring archiving. Beyond traditional email archives, today's EIA solutions must handle voice recordings, video content, social media communications, and collaborative platform data from sources like Microsoft Teams and SharePoint. This diverse data landscape makes selecting appropriate pricing metrics exceptionally challenging.
Usage-based pricing models have gained significant traction, but implementing them effectively requires careful consideration of which metrics truly align with customer value perception. Should pricing be based on total storage volume, number of data sources, user counts, or some combination? The complexity is compounded by the fact that different data types have vastly different storage requirements and compliance value.
The EIA market is fundamentally driven by regulatory compliance requirements, creating an opportunity for value-based pricing approaches. However, quantifying the precise value of risk mitigation and compliance readiness presents significant challenges. Organizations implementing EIA solutions understand the potential costs of non-compliance but struggle to assign specific monetary value to preventative measures.
Successful pricing strategies must bridge this gap by clearly articulating ROI in terms of reduced audit costs, minimized legal discovery expenses, and protection against potential regulatory penalties. This requires deep industry knowledge and the ability to translate technical capabilities into business outcomes.
The market-wide shift from perpetual licensing to subscription-based SaaS pricing creates particular challenges for EIA vendors. Many enterprise customers maintain hybrid environments with legacy on-premises archives alongside newer cloud solutions. Pricing models must accommodate these hybrid deployments while encouraging migration to more profitable cloud services.
This transition is further complicated by the need to integrate with existing enterprise systems and data repositories. Pricing strategies must account for implementation complexity, ongoing integration maintenance, and the potential need for professional services to support custom deployments.
As artificial intelligence and machine learning capabilities become core components of modern EIA solutions, vendors face the critical challenge of effectively monetizing these features. According to the Radicati Group report, leading vendors are embedding AI for advanced classification, content analysis, and eDiscovery capabilities, but pricing approaches vary widely.
Some vendors bundle AI capabilities within premium tiers, while others offer them as add-on modules. The challenge lies in communicating the distinct value of AI-powered features in ways that justify premium pricing while avoiding overly complex tier structures that confuse potential buyers.
Enterprise customers demand pricing predictability for budgeting purposes while simultaneously requiring the flexibility to scale with growing data volumes. This fundamental tension creates significant pricing challenges for EIA providers. Consumption-based models offer scalability but can lead to customer anxiety about unpredictable costs.
Tiered subscription pricing provides greater predictability but risks creating artificial constraints that frustrate customers as their needs evolve. Finding the optimal balance between these approaches requires continuous market research and pricing refinement based on customer feedback.
Monetizely brings deep expertise to Enterprise Information Archiving providers facing the complex pricing challenges of this rapidly evolving market. Our specialized services help EIA vendors develop pricing strategies that accurately reflect value, drive competitive differentiation, and optimize revenue capture across diverse customer segments.
Our data-driven approach begins with comprehensive pricing research specifically tailored to the unique dynamics of the archiving market:
Tier/Package Performance Analysis: We meticulously evaluate your current tier and package performance across key metrics including Average Deal Size, upsell rates, discounting patterns, and feature utilization. This analysis ensures optimal alignment between your pricing structure and go-to-market strategy—essential for EIA vendors navigating the transition from on-premises to cloud and SaaS delivery models.
Price Bearing Analysis: Our team conducts detailed examination of your price-per-metric performance across sales teams, geographic regions, customer segments, and product lines. This research provides critical insights into your solution's pricing power within the compliance-driven EIA market and identifies opportunities to better capture value from advanced features like AI-powered eDiscovery and automated compliance monitoring.
Usage Analysis: We analyze product usage patterns to determine whether your selected pricing metrics align with actual customer utilization and value perception. This is particularly valuable for EIA providers implementing usage-based or consumption pricing models that must accurately reflect data volume, user counts, and retention periods.
Monetizely evaluates your current pricing structures against evolving industry standards within the Enterprise Information Archiving sector. Our benchmarking identifies improvement opportunities by comparing your approach to market leaders and emerging competitors in the archiving space.
For EIA vendors transitioning to SaaS and subscription models, we provide clear guidance on optimizing your pricing architecture to support both cloud-native and hybrid deployment scenarios. This includes strategies for effectively monetizing AI and machine learning capabilities that are increasingly critical differentiators in the archiving market.
Beyond strategy development, Monetizely provides comprehensive implementation assistance:
Implementation Planning: We create detailed roadmaps for rolling out new pricing strategies, including internal training programs, customer communication frameworks, and system update requirements specific to the EIA market context.
Tooling & Enablement: Our team develops customized pricing calculators, sales enablement materials, and training programs that support your sales organization in effectively communicating the value of your archiving solution. These tools help sales teams confidently navigate pricing discussions around compliance benefits, risk mitigation, and total cost of ownership.
Monetizely has a demonstrated track record of helping enterprise software companies transform their pricing approaches. In one notable case, we guided a $10 million ARR IT infrastructure management software company from an ad-hoc pricing model to a structured approach that:
This transformation resulted in consistent pricing application, reduced sales friction, and created clear monetization pathways for strategic features—outcomes directly applicable to EIA vendors seeking to optimize their pricing approach.
Through our specialized expertise in SaaS Pricing, Software Pricing Consultancy, and Usage Based Pricing models, Monetizely helps Enterprise Information Archiving providers develop pricing strategies that accurately reflect value, drive competitive differentiation, and maximize revenue potential in this complex market.
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.