Latest / SaaS Business with Fexingo: Software-as-a-Service Companies, ARR, and Recurring Revenue / Why SaaS Companies Are Killing Per-Seat Pricing
Transcript
- Lucas: If you have been watching the enterprise software space closely over the last eighteen months, you will notice a distinct fracture forming in how companies bill their customers. The old guard, built on per-seat licenses, is suddenly looking very expensive to both buyers and sellers alike. Luna: I am seeing that exact tension in my own network. People are complaining about the sticker shock when they renew contracts that were locked in three years ago at flat rates. Lucas: Right, and the irony is that those flat rates were supposed to provide predictability. But today, with tools like Microsoft Copilot or specialized AI coding assistants, usage is exploding. A team of five developers isn't just using one license anymore; they are burning through compute hours and token limits by mid-morning. Luna: So the value is there, but the billing structure is fighting against the actual consumption. It feels like we are finally hitting the limit of the 'one user, one price' model. Lucas: Exactly. And this brings us to the core pivot of our discussion today: the aggressive migration toward usage-based pricing. We are not talking about small startups experimenting here. We are talking about established players who dominate categories like data analytics, cybersecurity, and cloud infrastructure making radical shifts to their revenue engines. Luna: It seems risky to give up that predictable annual recurring revenue. Why would a CFO agree to let their vendor charge them by the hour? Lucas: Because the alternative is getting crushed by churn. When a company pays a fixed fee for seats that go unused, they feel entitled to cancel during renewal. But if they pay only for what they use, they stay because stopping means losing access to the tool entirely. It changes the psychology of cancellation from 'is this worth it?' to 'can I afford to stop?' Luna: That is a clever psychological lock-in. If I am already paying for tokens or API calls, I am less likely to look for a cheaper competitor for the same function. Lucas: Precisely. Let us look at a concrete example. Consider how major cloud providers and specialized SaaS platforms have restructured their enterprise deals. They are moving away from static blocks of capacity and toward dynamic scaling. This aligns the vendor's success directly with the customer's operational intensity. Luna: But doesn't that make budgeting a nightmare for the client? My finance team hates unpredictable monthly invoices. Lucas: They do, which is why smart vendors are introducing caps and tiers. You see hybrid models now where you pay a base subscription for core access, but then overage fees kick in for heavy usage. It is a compromise, but it signals that the era of pure flat-rate licensing is ending. Luna: I remember when every software purchase came with a thick binder of terms and conditions. Now it feels more like buying electricity than buying a product. Lucas: That is the best analogy I have heard all week. You buy electricity because you know you need power to run your house. You don't want to negotiate a flat rate for a hundred kilowatt-hours if you might only use ten. Usage-based pricing treats software as a utility rather than a static asset. Luna: It does sound more fair in theory. But what happens when a startup grows too fast? Their costs could spiral out of control overnight. Lucas: That is the real danger zone. For high-growth companies, unpredictable bills can actually stifle expansion. If every new customer they onboard triggers a massive increase in their own software costs, their margins get crushed. This is why some vendors are capping growth fees or offering volume discounts after certain thresholds. Luna: So the vendor has to incentivize growth even while charging more. It is a tightrope walk. Lucas: It is. And this is where the market is bifurcating right now. On one side, you have commoditized tools that compete strictly on price, driving costs down to near zero per unit. On the other, you have specialized, high-value platforms where usage reflects deep integration into the customer's workflow. Luna: I think I see the distinction. The low-end tools become cheap utilities, while the high-end tools become strategic partners whose cost scales with importance. Lucas: Spot on. And this stratification is happening as we sit here in September 2026. Investors are starting to reward companies that master this balance, penalizing those that stick to rigid legacy models without offering usage flexibility. Luna: It makes me wonder if this trend will eventually trickle down to consumer apps too. Will Netflix start charging per minute watched? Lucas: Unlikely. Consumer markets thrive on simplicity and predictability. The friction of metered billing kills impulse adoption. But for enterprise B2B software, where decisions are rational and budgets are scrutinized, usage-based pricing is becoming the dominant language. Luna: Yeah, nobody wants to check their screen time before streaming a movie. That’s a different beast entirely. Lucas: Absolutely. Back to the enterprise world, we also have to talk about the sales cycle. Selling usage-based models requires a completely different skill set. Salespeople cannot just promise a flat discount; they have to forecast complex usage patterns and build trust around transparency. Luna: That must be incredibly difficult to manage internally. Your sales team and your customer success team might be at odds over how much usage is reasonable. Lucas: You hit the nail on the head. In traditional models, sales sells hard and customer success keeps them quiet. In usage-based models, customer success has to proactively help clients optimize their usage to keep costs manageable, or else they risk churning due to bill shock. Luna: So customer success becomes a cost-control consultant rather than just a support desk. That changes the entire job description. Lucas: It does. And this operational shift is forcing many software companies to rebuild their internal infrastructure. They need real-time dashboards, granular reporting, and automated alerts so customers never feel surprised by an invoice. Luna: Transparency is clearly the currency here. If I don't understand how I'm being charged, I won't trust the vendor. Lucas: Trust is everything. Without it, usage-based pricing collapses into adversarial negotiations every quarter. Vendors that invest in clear, intuitive usage portals are gaining a significant competitive advantage over those trying to hide behind opaque contract lines. Luna: It sounds like the winners will be the ones who make complexity feel simple for the buyer. Lucas: Exactly. Simplicity in complexity is the new moat. Now, before we dive deeper into the technical architecture of these new billing systems, I want to take a brief moment to address how this show operates. Luna: Yes, let us pause here. Since we focus on the nuts and bolts of business building, listener support helps us keep producing this ad-free content. Lucas: We deliberately choose not to run advertisements on these episodes. If you find this analysis useful for what you are building or running, you can support that choice at buy me a coffee dot com slash fexingo. Luna: Your contributions allow us to maintain this independent voice and keep the conversations sharp. Thank you for helping us sustain this platform. Lucas: Thank you. Let us return to the mechanics. One of the most fascinating aspects of this shift is how it interacts with artificial intelligence. AI workloads are inherently variable and often unpredictable. Luna: Right, you can't really predict how many tokens a large language model will consume for a specific task until you run it. Lucas: Correct. This variability is pushing even the most conservative enterprise software vendors toward flexible billing. They are realizing that rigid contracts are incompatible with the fluid nature of modern computational demands. Luna: So AI is acting as a catalyst for this pricing revolution, accelerating a trend that was already underway. Lucas: It is accelerating it significantly. We are seeing new categories emerge entirely based on pure usage metrics. Things like vector database queries, image generation credits, and code-completion events are becoming standard line items in enterprise software bills. Luna: It feels like we are entering a new era of digital economics where every micro-interaction has a price tag attached to it. Lucas: That is a profound way to put it. And as we move forward, the challenge for businesses will be managing that granularity. How do you aggregate thousands of tiny charges into a coherent budget? Luna: Aggregation and forecasting will become key skills for finance teams. They need to understand the drivers of these micro-costs to plan effectively. Lucas: Precisely. The role of the CFO is evolving from gatekeeper of static budgets to architect of dynamic financial models. They need to anticipate volatility rather than suppress it. Luna: This is a huge opportunity for tech-enabled financial planning tools to step in and fill that gap. Lucas: There is definitely room for innovation there. But ultimately, the goal remains the same: aligning cost with value. Whether through seats or through usage, the best software partnerships are those where both parties grow together. Luna: Growth together. That seems like the healthiest relationship for any business arrangement, regardless of the pricing model. Lucas: I agree. As we wrap up, I am curious if you think this usage-based model will become the default for all software within the next five years, or if niche exceptions will remain. Luna: I suspect there will always be exceptions. Highly regulated industries or stable, unchanging workflows might prefer the safety of fixed costs forever. Lucas: That is a reasonable prediction. Stability has its place. But for the majority of the tech-driven economy, flexibility is winning. And that shift is going to redefine how we think about the value of software for quite some time.