
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.
In today's digital landscape, platform business models have revolutionized how companies create and capture value. Unlike traditional SaaS businesses that serve a single customer type, platform companies connect multiple user groups—creating powerful network effects but also introducing complex pricing challenges.
For SaaS executives navigating the platform economy, developing an effective pricing strategy can mean the difference between explosive growth and sluggish adoption. So how should you approach pricing when your business serves multiple sides of a market simultaneously?
The platform economy represents a fundamental shift from linear business models to multi-sided marketplaces. Instead of creating value through a straight-line process from production to consumption, platforms create value by facilitating interactions between two or more distinct user groups.
Take Shopify, for example. While it began as a traditional SaaS product for merchants, it evolved into a platform connecting merchants, consumers, app developers, theme designers, and fulfillment partners. Each participant both contributes to and extracts value from the ecosystem.
What makes platform businesses particularly powerful is their ability to generate network effects—where the value to users on one side increases as more users join the other side. This dynamic creates a virtuous cycle that, once established, can be difficult for competitors to disrupt.
Pricing for platform businesses differs fundamentally from traditional SaaS pricing for several key reasons:
In two-sided markets, the willingness to pay on one side depends heavily on participation from the other side. For instance, merchants won't pay much for a marketplace with few buyers, and buyers have little interest in a marketplace with few sellers.
According to research from the MIT Sloan School of Management, this chicken-and-egg scenario is why many successful platform businesses initially subsidize one side of the market completely.
Platforms must balance two competing objectives:
As Harvard Business School professor Andrei Hagiu notes, "Platform companies that attempt to capture too much value too quickly often stunt their own growth."
Unlike traditional SaaS businesses with relatively straightforward subscription models, platforms typically monetize through various channels:
Based on the success patterns of leading platform businesses, here's a strategic framework for approaching platform pricing:
Nearly all successful platforms begin by subsidizing one side of the market. According to research by platform economist Geoffrey Parker, the subsidized side should typically be the one that is:
For example, LinkedIn offered free accounts to job seekers while charging recruiters, and OpenTable provided restaurant management software at low cost while charging for reservations.
Rather than attempting to optimize monetization immediately, successful platform businesses typically follow a progression:
Stage 1: Focus on Growth
Stage 2: Introduce Selective Monetization
Stage 3: Optimize Revenue
Stripe exemplifies this approach, starting with simple transaction pricing before gradually introducing additional services like Stripe Atlas, Stripe Radar, and Stripe Capital—each with its own revenue model.
The most sophisticated platform businesses employ multi-dimensional pricing that varies based on:
User Segments: Different pricing for different types of participants
Usage Patterns: Pricing based on volume, frequency, or value of interactions
Value-Added Services: Premium offerings that enhance the core platform experience
According to a 2022 study by Deloitte, platforms with multi-dimensional pricing models achieve 32% higher average revenue per user compared to those with single-dimensional approaches.
Many successful platform businesses combine:
Direct Revenue: Fees charged directly to users
Indirect Revenue: Revenue generated through third parties (advertising, data licensing, etc.)
For example, Airbnb primarily monetizes through direct host and guest fees, while Google's Android platform relies more heavily on indirect monetization through the Google Play Store and advertising.
Shopify provides an excellent case study in platform pricing evolution:
This evolution demonstrates how platform pricing can become increasingly sophisticated as the ecosystem matures.
To develop an effective pricing strategy for your platform business:
Document all participants in your ecosystem and the value each provides to and receives from others. This visualization helps identify where monetization makes the most sense.
Determine which side of your market is most crucial to subsidize initially. Consider:
Successful platform pricing rarely emerges fully formed. Instead, it evolves through continuous experimentation. Design small-scale tests to validate hypotheses before full implementation.
Develop metrics that track not just revenue but also the strength of your network effects:
In the platform economy, pricing isn't merely a revenue function—it's a strategic tool for shaping marketplace dynamics. The most successful platform businesses view pricing as an evolving system that balances growth, value creation, and value capture.
By applying the principles outlined in this playbook, SaaS executives can develop pricing strategies that accelerate adoption, strengthen network effects, and establish sustainable competitive advantages in the platform economy.
The key is starting with a deep understanding of your specific two-sided market dynamics and being willing to adapt your approach as your platform evolves. In platform businesses more than any other, the right pricing strategy at the right time can catalyze exponential growth and ecosystem value.
Join companies like Zoom, DocuSign, and Twilio using our systematic pricing approach to increase revenue by 12-40% year-over-year.