Twenty years ago, buying software meant purchasing a box, installing it from a disc, and owning a perpetual license. Today, the dominant model for enterprise and consumer software is radically different: you pay a monthly or annual fee, access the software through a browser, and receive continuous updates without any installation. This is SaaS — Software as a Service — and it has become one of the most successful business models in the history of technology.
The shift from perpetual licenses to subscriptions was not merely a pricing change. It transformed how software companies are built, funded, valued, and managed. It changed the economics of customer acquisition, the importance of retention, and the relationship between vendors and customers. Understanding the SaaS model is essential for anyone evaluating software companies, building technology products, or making decisions about which software to purchase for a business.
The Scale of the SaaS Industry
The numbers alone tell a story about how thoroughly SaaS has transformed enterprise software. According to Gartner, global SaaS revenue reached approximately $232 billion in 2024 and is projected to exceed $300 billion by 2026. Statista data places SaaS as the largest segment of the cloud services market, outpacing Infrastructure as a Service and Platform as a Service by total revenue.
The concentration of value in publicly traded SaaS companies is striking. As of early 2025, the aggregate market capitalization of the top 30 public SaaS companies exceeded $3 trillion, with Salesforce, ServiceNow, Workday, and Datadog representing the most established names. Salesforce, often cited as the pioneer of cloud CRM, generated $34.9 billion in fiscal year 2024 revenue — nearly all of it recurring.
For context on how deeply SaaS has penetrated the enterprise: according to BetterCloud's State of SaaSOps Report 2024, the average mid-size company (500-1,000 employees) now uses 291 distinct SaaS applications. Managing this portfolio — procurement, security, contract renewal, access provisioning — has become its own discipline, spawning an entire category of SaaS management platforms like Torii, Zylo, and Productiv.
What SaaS Is and How It Differs from Traditional Software
SaaS (Software as a Service) is a software delivery model in which applications are hosted by the provider and accessed by customers over the internet, typically through a web browser. Customers pay a recurring subscription fee rather than purchasing a one-time license.
The Contrast with Traditional Software
Under the traditional perpetual license model:
- Customers pay a large upfront fee for a software license
- The customer installs and manages the software on their own hardware
- Updates and support are optional paid add-ons
- Revenue recognition occurs at the point of sale
Under the SaaS model:
- Customers pay a recurring subscription (monthly or annually)
- The vendor hosts and manages the software and infrastructure
- Updates are continuous and included in the subscription
- Revenue is recognized ratably over the subscription period
The distinction matters enormously for business economics. A perpetual license generates a large revenue spike at sale but then requires another sale to the same customer to generate more revenue. A SaaS subscription generates smaller but predictable recurring payments, which compound over time as the customer base grows.
The accounting difference is also meaningful. Under ASC 606, the revenue recognition standard most public companies follow, SaaS revenue is recognized over the performance period — the subscription term — not at the point of invoicing. This means a $120,000 annual contract signed in December generates $10,000 of recognized revenue in December, with the remaining $110,000 recognized over the following eleven months. This accounting treatment contributes to the famous "SaaS growth paradox" where fast-growing SaaS companies can show large losses while building enormous future revenue obligations.
SaaS vs. IaaS vs. PaaS
SaaS is one of three primary cloud delivery models:
| Model | What Is Managed by Provider | Examples |
|---|---|---|
| IaaS (Infrastructure as a Service) | Physical hardware, networking, storage | AWS EC2, Azure VMs, Google Compute |
| PaaS (Platform as a Service) | Infrastructure + operating systems + runtime | Heroku, Google App Engine, Azure App Service |
| SaaS (Software as a Service) | Everything, including the application | Salesforce, Slack, Zoom, Gmail |
End users most commonly interact with SaaS. Developers and technical teams most commonly use IaaS and PaaS to build and deploy their own applications. The three models are often stacked: a SaaS company might run its product on AWS EC2 (IaaS), deploy using a container orchestration PaaS, and then sell SaaS to its own end customers.
The Economics of Recurring Revenue
The foundational insight of the SaaS model is that recurring revenue is worth far more than one-time revenue. This sounds obvious, but its implications run deep.
Predictability and Forecasting
A business with $1 million in recurring annual revenue and 5% monthly churn knows, with reasonable confidence, what its revenue will be next month, next quarter, and next year. A business with $1 million in one-time sales has no such certainty — every month starts at zero and every dollar must be newly earned.
Predictability is valuable not just psychologically but economically. It enables more confident investment in growth, more efficient planning, and — critically — the ability to raise capital at favorable terms. Investors and lenders pay a premium for predictability. This is quantified in valuation multiples: as of 2024-2025 market conditions, high-growth SaaS companies trade at 8-15x Annual Recurring Revenue (ARR), while comparable revenue businesses in sectors without recurring revenue characteristics typically trade at 1-3x revenue.
The Compounding Effect of Retention
A SaaS business that retains 95% of its revenue each year (5% annual churn) will double its revenue in 15 years through retention alone, with zero new customer acquisition. A business that retains 80% of its revenue each year (20% annual churn) loses $1 million of every $5 million it generates annually just replacing churned customers.
This is why retention is the central financial metric in SaaS. Acquiring a new customer is almost always more expensive than retaining an existing one. According to research from Bain & Company, increasing customer retention by 5 percentage points can increase profits by 25-95%, depending on the industry. In SaaS, where gross margins typically run 70-80%, the profit impact of retention improvement is even more pronounced.
Negative Churn: The Holy Grail
The most financially powerful SaaS dynamic is negative net revenue churn — a state where expansion revenue from existing customers (through upgrades, additional seats, usage growth, and add-ons) exceeds revenue lost from cancellations and downgrades.
In a business with negative churn, the existing customer base grows in revenue even if no new customers are ever acquired. This means the cost of acquiring a customer is paid only once, but the customer generates increasing revenue over time — a dramatically more favorable economics than any other software model.
Businesses like Snowflake (which charges based on data compute consumption), Twilio (which charges per API call), and Datadog (which charges based on infrastructure monitored) achieve negative churn because as their customers grow, their usage — and their payment — grows automatically. Snowflake's Net Revenue Retention rate exceeded 158% at its 2020 IPO — meaning its existing customer cohorts grew their spending by 58% year over year, entirely independent of new customer acquisition.
The Key SaaS Metrics
MRR and ARR
Monthly Recurring Revenue (MRR) is the normalized monthly subscription revenue from active customers. It excludes one-time fees and includes adjustments for discounts and refunds. MRR is the fundamental pulse metric of a SaaS business: it tells you the current run rate.
Annual Recurring Revenue (ARR) is simply MRR multiplied by 12. For businesses that sell primarily annual contracts, ARR is often the primary top-line metric because it smooths out monthly variation and reflects the contracted value of the customer base.
MRR can be decomposed into:
- New MRR: from newly acquired customers
- Expansion MRR: from existing customers upgrading or using more
- Churned MRR: from cancellations
- Contraction MRR: from downgrades
- Net New MRR: New + Expansion - Churned - Contraction
A business where expansion MRR consistently exceeds churned MRR is demonstrating negative churn — one of the clearest signals of a high-quality SaaS business.
Churn Rate
Churn rate is the percentage of customers or revenue lost in a given period. Customer churn and revenue churn are related but distinct:
- A business might lose 5% of customers but retain 95% of revenue if the churned customers are small and the retained ones are large
- A business might retain 95% of customers but lose 15% of revenue if a few large customers cancel
Revenue churn (often called gross revenue retention) is generally the more important metric because it captures the financial impact directly.
Acceptable churn rates vary by market segment:
- SMB SaaS (small/medium business customers): 3-7% monthly churn may be acceptable given higher acquisition volume
- Mid-market SaaS: 1-3% monthly, or 10-30% annually
- Enterprise SaaS: below 5% annually is often the benchmark; best-in-class enterprise SaaS may see 1-2% annual churn
LTV and CAC
Customer Lifetime Value (LTV) is the total revenue a customer is expected to generate over their relationship with the business. A simplified calculation:
LTV = ARPU (Average Revenue Per User) / Monthly Churn Rate
If average monthly revenue per customer is $100 and monthly churn is 2%, LTV = $5,000.
Customer Acquisition Cost (CAC) is the total sales and marketing spend divided by the number of new customers acquired in the same period.
The LTV:CAC ratio is a fundamental health metric:
- Below 1:1: Each customer costs more to acquire than they generate — structurally unsustainable
- 1:1 to 3:1: Marginal; may not cover overhead and growth investment
- 3:1: Widely cited as healthy benchmark
- 5:1 or higher: Potentially indicates underinvestment in growth
CAC Payback Period — the number of months to recover acquisition cost from gross margin — is a complementary metric. The benchmark for efficient SaaS growth is a payback period under 18 months. Companies with 12-month or shorter payback periods can reinvest acquisition spend rapidly without straining cash flow. This metric became particularly important during the 2022-2023 SaaS market correction, when investors shifted emphasis from growth rate to capital efficiency.
NRR (Net Revenue Retention)
Net Revenue Retention (NRR), sometimes called Net Dollar Retention (NDR), measures the revenue from a cohort of customers in the current period relative to the same period one year ago, including expansion and excluding churn.
NRR = (Starting MRR + Expansion - Churn - Contraction) / Starting MRR
- NRR below 100%: the existing customer base is shrinking; churn is exceeding expansion
- NRR of 100%: the base is stable; churn equals expansion
- NRR above 100%: the base is growing without new customers; negative churn
Best-in-class SaaS businesses (Snowflake, Datadog, HashiCorp at peak) have reported NRR above 130%, meaning their existing customer base grows by more than 30% per year without any new customers.
| Metric | What It Measures | Benchmark (Enterprise SaaS) |
|---|---|---|
| MRR | Current monthly revenue run rate | Context-dependent |
| ARR | Annualized revenue | Context-dependent |
| Gross Churn | Revenue lost from cancellations | <10% annually |
| NRR | Revenue growth from existing customers | >120% strong |
| LTV:CAC | Return on acquisition investment | >3:1 |
| CAC Payback | Months to recover acquisition cost | <12-18 months |
| Gross Margin | Revenue minus cost of goods sold | 70-80%+ at scale |
The Unit Economics Behind High SaaS Valuations
To understand why SaaS companies commanded the valuations they did at peak (30-50x ARR in 2021) and still command premium multiples (8-15x ARR in normalized 2024-2025 conditions), it helps to model the unit economics explicitly.
Consider a simplified SaaS company with these characteristics:
- $100/month average subscription per customer
- $500 average CAC (6 months of revenue to recover)
- 2% monthly churn (approximately 22% annually)
- 70% gross margin
At these parameters:
- LTV = $100 / 0.02 = $5,000
- Gross margin LTV = $5,000 x 0.70 = $3,500
- LTV:CAC = $3,500 / $500 = 7:1
A 7:1 gross-margin-adjusted LTV:CAC ratio is excellent. Every dollar spent acquiring customers returns seven dollars in gross profit over the customer relationship. If the company can predictably deploy capital at that ratio, it has an obligation to spend as aggressively on acquisition as its cash position allows — which is why venture-backed SaaS companies historically prioritized growth over profitability.
This is also why the 2022-2023 interest rate environment disrupted SaaS valuations so profoundly. When the risk-free rate (US Treasury yields) rises from near-zero to 4-5%, the discount rate applied to future cash flows increases, reducing the present value of those flows. A SaaS company whose value depends on cash flows many years in the future is more sensitive to discount rate changes than a business generating near-term cash flows — which explains why high-growth SaaS stocks fell 60-80% from peak even as many of the underlying businesses continued growing.
SaaS Pricing Models
Per-Seat Pricing
Per-seat (or per-user) pricing charges a fixed amount per user per month. This is the most common model in B2B SaaS: Salesforce, Slack, HubSpot, and Microsoft 365 all use variants of it.
Advantages: simple to understand, sales conversations are straightforward, predictable revenue for the vendor, customers can forecast costs.
Disadvantages: creates incentive for customers to minimize user counts, can disincentivize adoption when teams share accounts, revenue does not automatically grow with customer value extraction.
Usage-Based Pricing
Usage-based (or consumption-based) pricing charges based on what customers actually use — API calls, data volume, messages sent, compute time, transactions processed. AWS, Twilio, Snowflake, and Stripe use variants of this model.
Advantages: closely aligns cost with value received, removes adoption friction (no cost to add users who do not use it), revenue grows automatically as customer usage grows.
Disadvantages: unpredictable revenue for the vendor, customers may limit usage to control costs, more complex to invoice and forecast.
According to OpenView's 2024 Product-Led Growth Survey, 61% of SaaS companies with more than $100M in ARR now include some usage-based component in their pricing, up from 45% in 2021. The shift reflects companies' recognition that aligning price with value delivery is both fairer to customers and creates a more natural expansion revenue engine.
Flat-Rate and Tiered Pricing
Flat-rate pricing charges a single price for full access, regardless of users or usage. This is simple but rarely optimal for growth because it does not scale with customer value. Basecamp famously uses flat-rate pricing as a positioning statement about simplicity and predictability.
Tiered pricing offers different feature sets or usage limits at different price points. The common three-tier structure (Starter, Professional, Enterprise) is designed to capture different customer segments and to create natural upgrade paths as customers outgrow lower tiers. The goal is that the features customers most want are in the tier above where they currently sit — a product-led growth mechanism for driving expansion revenue.
Freemium
Freemium offers a free tier with core functionality to drive user acquisition, with paid tiers unlocking additional features, capacity, or usage. Slack, Dropbox, Zoom, and Notion have all used freemium effectively.
Freemium works when the free tier is useful enough to drive adoption but limited enough to create genuine incentive to upgrade. The free tier is a marketing channel, not a product tier — its cost must be justified by its role in acquisition, not by direct revenue.
Dropbox provides the canonical freemium success story. At its 2018 IPO, the company disclosed that 90% of its revenue came from self-serve upgrades, with users often converting to paid after reaching the free storage limit. The free tier had generated over 500 million registered users, a marketing asset that would have cost billions to build through traditional paid acquisition.
The challenge with freemium is that conversion rates are low by nature — typically 2-5% from free to paid. If the cost of serving free users (infrastructure, support, development overhead) exceeds the acquisition value they provide, the model fails. Twitter's developer ecosystem challenges, Evernote's multiple pricing restructurings, and Mailchimp's evolution away from fully-featured free tiers all illustrate the difficulty of calibrating freemium at scale.
Why SaaS Valuations Are High
At peak in 2021, many public SaaS companies traded at 30-50x ARR. Even at more normalized 2023-2024 multiples of 5-15x ARR, SaaS companies command significant premiums over traditional businesses. Why?
Revenue quality: Recurring revenue is more valuable than one-time revenue because it is predictable. Investors pay premiums for visibility.
Scalability: Adding a new software customer costs near-zero in marginal infrastructure for many SaaS products. Gross margins of 70-80%+ are achievable at scale, versus 20-40% for most service businesses. When Salesforce reaches $40 billion in revenue, its infrastructure cost does not scale proportionally — software has near-zero marginal cost of delivery.
Compounding growth: A business with negative churn and a strong acquisition engine grows revenue on multiple fronts simultaneously — new customers plus expansion from existing customers.
Switching costs: Software products that become embedded in customer workflows create high switching costs. When a business runs its CRM, billing, HR, and operations in your product, changing vendors is expensive and disruptive. This retention moat reduces competitive threat over time. A 2023 Harvard Business Review analysis found that enterprise software switching costs average $1.3 million in direct migration costs, not including productivity losses during transition.
Negative working capital: Many SaaS businesses collect annual subscription fees upfront and deliver the service over the following year. This means customers are effectively financing the vendor's operations. Salesforce and ServiceNow both carry significant deferred revenue balances on their balance sheets — contracted payments received but not yet recognized as revenue — which acts as an interest-free working capital facility.
"The goal in SaaS is not just to acquire customers — it is to acquire customers you can keep. The whole model breaks if churn exceeds growth, and the unit economics become a treadmill that nobody wins." — David Skok, General Partner at Matrix Partners and developer of widely-used SaaS metrics frameworks
When SaaS Doesn't Work
Despite its many advantages, the SaaS model is not universally applicable.
Low-frequency usage: If customers need software quarterly or annually (e.g., tax preparation, annual planning tools), a subscription fee may feel like poor value versus a one-time purchase. Customers resent paying monthly for tools they use infrequently. TurboTax has faced consistent criticism for its subscription pricing model precisely because most consumers use it for a few hours once a year.
High churn environments: SMB-focused SaaS businesses face high natural churn because small businesses close, change focus, and switch vendors frequently. According to the Small Business Administration, approximately 20% of US small businesses close within the first year and 45% within five years. If your customer base includes a substantial percentage of early-stage small businesses, your natural churn rate reflects that mortality rate regardless of product quality.
Customization-heavy products: Software that requires significant custom development per customer does not scale in the SaaS model. Each customer requires implementation work that eliminates the economies of scale that make SaaS margins attractive. This is why large enterprise software companies like SAP and Oracle maintain hybrid models — cloud delivery for standard functionality with professional services revenue for customization.
Data sovereignty and security requirements: Government, defense, financial services, and healthcare organizations in many jurisdictions face regulatory requirements that prevent or complicate cloud-hosted software. GDPR in Europe, FedRAMP in the US government context, and HIPAA in healthcare all create compliance obligations that increase the complexity and cost of SaaS delivery for these regulated sectors.
Highly price-sensitive markets: In consumer markets where price sensitivity is extreme, monthly subscription framing can increase perceived cost and resistance even when annual total cost is identical to what users would pay under a different model. Research in behavioral economics consistently shows that recurring payment structures feel more costly than equivalent lump-sum payments, a phenomenon called payment depreciation.
The SaaS Growth Playbook: How Successful Companies Scale
Understanding the SaaS model also means understanding the growth mechanics that differentiate companies that reach scale from those that stall.
Product-Led Growth (PLG)
Product-Led Growth describes companies where the product itself is the primary acquisition and expansion mechanism. Users discover, try, and adopt the product without requiring a sales interaction. Slack, Figma, Notion, and Calendly are canonical PLG examples: users adopt the product individually or in small teams, advocate for it internally, and drive bottom-up organizational adoption.
PLG is associated with lower CAC (because marketing and sales costs are partially replaced by the product itself), higher NRR (because adoption is based on genuine individual value), and faster growth at lower organizational sizes. The tradeoff is that PLG products require exceptional product design and onboarding — the product must deliver value quickly enough that free users convert before they churn.
Enterprise Motion
Large enterprise deals — seven-figure annual contracts with Fortune 500 companies — require fundamentally different go-to-market motions. Enterprise sales involves multi-stakeholder buying committees, procurement departments, security reviews, legal negotiations, and extended sales cycles measured in months rather than days.
The economics of enterprise sales are different from SMB or PLG: CAC is higher (often $50,000-200,000 for enterprise deals), but LTV is dramatically higher (multi-year contracts, high switching costs, expansion potential). Enterprise-focused SaaS companies typically have dedicated Account Executives, Customer Success Managers (CSMs), and Solutions Engineers whose combined fully-loaded cost is included in CAC calculations.
The Land-and-Expand Model
The most efficient enterprise SaaS growth motion is land-and-expand: acquire a customer at a modest initial contract value (the "land"), then expand usage over time through additional seats, additional products, or increased consumption (the "expand"). This model underlies the negative churn dynamic: the initial deal is small enough to require minimal budget approval, but the expansion potential is large.
Datadog exemplifies this pattern. The company often begins with a single monitoring product at a single customer department, then expands across security, logging, APM, and infrastructure monitoring as teams discover value and adopt additional modules. Datadog's NRR above 120% reflects this expansion dynamic operating at scale.
The SaaS Metrics That Matter Most at Each Stage
| Stage | Primary Concern | Key Metrics |
|---|---|---|
| Pre-product/market fit | Finding what customers will pay for | Conversion rate, early churn signals |
| Early growth ($1M-10M ARR) | Efficient customer acquisition | CAC, time to first value, early NRR |
| Scaling ($10M-100M ARR) | Unit economics and repeatability | LTV:CAC, CAC payback period, NRR |
| Mature ($100M+ ARR) | Retention and expansion | NRR, gross retention, expansion MRR |
The Future of SaaS: AI and the Next Pricing Frontier
The rapid integration of AI capabilities into SaaS products is creating new pricing challenges and opportunities. Products like GitHub Copilot, Notion AI, and Salesforce Einstein AI add significant value but also significant infrastructure cost (LLM API calls are expensive at scale). This is forcing a reassessment of pricing models across the industry.
The dominant emerging pattern is AI as an add-on tier: a base subscription covering traditional functionality, with an AI tier at a meaningful premium (often 50-100% of the base price). Microsoft's Copilot for Microsoft 365 at $30/user/month on top of an existing Microsoft 365 subscription is the most visible example. Salesforce's Einstein GPT, HubSpot's AI tools, and Zendesk's AI agents follow similar structures.
The longer-term question is whether outcome-based pricing — charging not for usage or seats but for measurable business outcomes — becomes more viable as AI increases the measurability of software value. A sales automation tool charging per closed deal, or a customer service AI charging per resolved ticket, would represent a more direct alignment between price and value than any existing model. Some companies are experimenting with this, but the contractual, measurement, and attribution challenges remain significant.
Summary
The SaaS business model is built on the economics of recurring revenue: predictable cash flows, compounding retention, and scalable software delivery. It rewards businesses that build genuinely valuable products, deliver them reliably, and continuously earn the renewal decision that every subscription requires.
The key metrics — MRR, ARR, churn, NRR, LTV, CAC — provide a comprehensive diagnostic for the health of any SaaS business. A company with strong NRR, low churn, and an LTV:CAC ratio above 3:1 is one of the most financially attractive business types that exists. A company with high churn, escalating CAC, and negative NRR is in a structurally difficult position regardless of its growth rate.
The SaaS model does not work equally well for every product or every market, and the pricing model within SaaS matters significantly. But for software products addressing persistent, recurring business needs, the shift to subscription delivery has proven to be one of the most powerful business model innovations of the past twenty years — and the logic of its economics shows every sign of remaining durable, even as AI transforms what those products deliver.
References
- Gartner. (2024). Forecast: Public Cloud Services, Worldwide, 2022-2027. Gartner Research.
- Statista. (2025). SaaS revenue worldwide 2015-2026. statista.com
- BetterCloud. (2024). State of SaaSOps 2024. bettercloud.com/research
- Skok, D. (2023). SaaS Metrics 2.0 — A Guide to Measuring and Improving What Matters. forentrepreneurs.com
- OpenView Partners. (2024). Product Benchmarks 2024. openviewpartners.com
- Snowflake Inc. (2020). S-1 Registration Statement. SEC EDGAR.
- Bain & Company. (2023). Prescription for Cutting Costs: Loyal Relationships. bain.com
- Harvard Business Review. (2023). The True Cost of Enterprise Software Migration. hbr.org
- ASC 606 Revenue Recognition Standard. Financial Accounting Standards Board (FASB).
- Dropbox Inc. (2018). S-1 Registration Statement. SEC EDGAR.
- Salesforce Inc. (2024). Annual Report FY2024. investor.salesforce.com
- Microsoft. (2025). Microsoft 365 Copilot Pricing. microsoft.com/en-us/microsoft-365/copilot
- Small Business Administration. (2023). Frequently Asked Questions About Small Business. sba.gov
- Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision Under Risk. Econometrica, 47(2), 263-291.
Frequently Asked Questions
What is a SaaS business model?
SaaS (Software as a Service) is a software delivery and revenue model in which customers access software over the internet on a subscription basis, typically paying a recurring monthly or annual fee, rather than purchasing a license or installing software locally. The SaaS provider hosts and maintains the software, handles infrastructure, and delivers continuous updates. Examples include Salesforce, Slack, Zoom, HubSpot, and Adobe Creative Cloud.
What are the key SaaS metrics?
The most important SaaS metrics are: MRR (Monthly Recurring Revenue, the predictable monthly subscription revenue), ARR (Annual Recurring Revenue, MRR times 12), churn rate (the percentage of customers or revenue lost each month), LTV (lifetime value, the total revenue expected from a customer), CAC (customer acquisition cost), and NRR (net revenue retention, which measures revenue growth from the existing customer base including expansion minus churn). These metrics together describe the health and growth trajectory of a SaaS business.
Why are SaaS companies valued so highly?
SaaS companies attract high valuations because recurring subscription revenue is highly predictable, creating reliable cash flow forecasts. High-quality SaaS businesses also have negative churn, meaning expansion revenue from existing customers exceeds losses from cancellations, allowing revenue to grow without acquiring new customers. The combination of predictability, capital efficiency, and scalability of software delivery justifies valuation multiples well above those of traditional software or service businesses.
What is the difference between per-seat and usage-based SaaS pricing?
Per-seat pricing charges customers a fixed amount per user per month (e.g., $15 per user per month), making costs predictable for both the vendor and customer. Usage-based pricing charges based on consumption, such as API calls, data volume, or transactions processed. Usage-based models align cost with value delivered and remove adoption friction but make revenue less predictable for the vendor. Many modern SaaS businesses use hybrid models with a base subscription plus usage-based charges above a threshold.
When does the SaaS model not work?
SaaS struggles when the product is used infrequently (making recurring payment feel poor value versus one-time purchase), when switching costs are low enough that customers churn readily, when customer acquisition costs are very high and LTV does not justify them, or when the product requires extensive customization for each customer (making scalability difficult). SaaS also faces challenges in markets with strong data residency or security requirements that prevent cloud delivery, and in highly price-sensitive markets where customers resist subscription framing.