
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 sustainable growth for real estate technology companies, separating market leaders from struggling competitors in this data-intensive vertical. A thoughtful pricing strategy directly impacts customer acquisition costs, retention rates, and overall profitability.
The real estate and property technology sector faces unique pricing challenges due to its diverse user base and fluctuating usage patterns. Property management platforms, agent tools, and investment analytics software all serve different stakeholders with varying needs and value perceptions.
Real estate technology must accommodate highly variable user groups—agents, brokers, property managers, investors—each with different usage patterns and value perceptions. Traditional seat-based pricing models often fail to capture this diversity, resulting in pricing misalignment and reduced adoption rates.
Usage-based pricing has emerged as a powerful alternative for real estate SaaS, allowing companies to scale costs with transaction volume or property portfolio size rather than just user count. This approach resonates particularly well with seasonal real estate business cycles, where activity fluctuates throughout the year.
Real estate software is inherently data-intensive, requiring integration of multiple sources: MLS listings, public records, market analytics, and increasingly, AI-powered insights. Pricing models must account for this data consumption while remaining transparent to customers.
The most successful real estate SaaS providers are implementing hybrid pricing models that combine traditional subscription fees with usage components tied to data consumption or transaction volume. This allows them to monetize the true value they deliver while giving customers flexibility.
As artificial intelligence becomes integral to real estate technology, companies struggle with how to price these premium features. The challenge lies in demonstrating clear ROI for AI-powered capabilities like automated valuations, lead scoring, and market forecasting.
Recent innovations emphasize modular pricing approaches, where AI features are offered as premium add-ons or bundled into higher-tier packages. According to industry research, companies are increasingly experimenting with outcome-based pricing models that bill customers based on value derived from AI insights, such as deals influenced or efficiency gains measured.
The crowded real estate technology market makes pricing a critical differentiator. Leading companies are moving beyond feature-based competition to value-based pricing models that align costs with specific outcomes meaningful to real estate professionals.
Subscription fatigue is a growing concern, with real estate businesses carefully evaluating their technology stack. SaaS providers that can demonstrate clear ROI through transparent, value-aligned pricing have a significant competitive advantage in customer acquisition and retention.
Monetizely brings deep expertise in SaaS pricing strategy specifically tailored to the unique challenges of real estate and property technology companies. Our approach combines rigorous research methodologies with practical operational experience to develop pricing models that maximize revenue while accelerating adoption.
Our team employs a comprehensive suite of research methods to identify optimal pricing strategies for real estate technology:
Monetizely offers specialized pricing consulting services designed to address the specific challenges facing real estate SaaS companies:
Pricing Strategy Alignment: We help real estate technology companies align pricing with their go-to-market strategy, ensuring consistency between product value, sales approach, and target customers. This has proven particularly effective for enterprise-focused solutions requiring high-touch sales processes.
Package Rationalization: We streamline complex feature sets into clear, value-based tiers that resonate with different real estate customer segments. In one case study, we helped a SaaS company rationalize from four disorganized packages to two strategically designed tiers, resulting in higher conversion rates and reduced sales friction.
Pricing Metric Development: We identify and implement innovative pricing metrics that better reflect how real estate professionals derive value from technology. This often includes developing hybrid models combining user counts with usage metrics like transaction volume, property units managed, or data consumed.
Sales Enablement: We ensure pricing strategies translate into actual revenue by providing sales teams with clear messaging, objection handling, and pricing tools. Our implementations consistently achieve high sales team adoption rates, resulting in immediate revenue impact.
While we don't have specific real estate case studies to share, our proven methodology has delivered significant results across B2B SaaS companies:
Our unique approach combines the rigor of traditional pricing methodology with the agility required in modern SaaS environments. Unlike traditional pricing consultants, Monetizely brings a product management and marketing perspective that ensures pricing strategies align with product development cycles and market needs.
Real estate SaaS companies partner with Monetizely because of our:
Ready to optimize your real estate technology pricing strategy? Contact Monetizely today to learn how our strategic pricing services can help you capture more value from your innovative solutions while accelerating growth in the competitive proptech 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.