Latest / SaaS Business with Fexingo: Software-as-a-Service Companies, ARR, and Recurring Revenue / How SaaS Companies Use Price Elasticity
Transcript
- Lucas: The most dangerous assumption in SaaS right now is that your pricing page is a finished product. It isn't. It's a living experiment. Look at how Zoom shifted from pure seat-based pricing to incorporating usage metrics for enterprise plans last year. They didn't just raise prices; they changed the unit of measure. That shift allowed them to capture more value from heavy users without alienating light users who stayed on the lower tiers. Luna: That makes sense because it aligns cost with actual consumption. But does that hurt the perception of value for smaller teams? Lucas: Not if you structure the tiers correctly. The key concept here is price elasticity. In simple terms, it measures how sensitive your customers are to price changes. If you have low elasticity, you can raise prices with minimal churn. If you have high elasticity, even a small increase causes mass exodus. Most SaaS companies operate in a zone of high elasticity because they haven't clearly differentiated their value propositions across tiers. Luna: So how do you actually find out where your customers sit on that curve? Do you just guess? Lucas: You test it. A lot of firms run van Westendorp surveys or Gabor-Granger questions directly in their checkout flow. These ask users hypothetical scenarios like 'would you buy this at ten dollars?' or 'would you still buy it at twenty?' The data reveals the point where demand drops off sharply. That inflection point is your ceiling. Push beyond it, and you trigger churn. Stay below it, and you're leaving money on the table. Luna: I remember reading about how some project management tools use AI to predict when a user is likely to churn based on login frequency. Does elasticity change if we factor in that kind of behavioral data? Lucas: Absolutely. Behavioral data lets you segment elasticity. A power user who logs in daily has very different elasticity than a dormant user. You can target price increases only to segments with low elasticity. This is why generic price hikes are so dangerous. They treat all customers the same, ignoring the fact that your most valuable clients are often the least sensitive to marginal cost increases. Luna: Right, because those users are already embedded in their workflow. Switching costs are high. Lucas: Exactly. And that brings us to the second lever: feature gating versus usage caps. Some companies gate advanced features behind higher tiers. Others cap usage, like storage space or API calls. Feature gating works well when the feature is a clear status symbol or efficiency booster. Usage caps work better when the core utility is scalable. You have to match the mechanism to the customer's mental model. Luna: It feels like a balancing act. Too much gating frustrates users, but too little leaves money on the table. Lucas: Precisely. Let's look at a concrete example. Consider a CRM company. If they put email automation behind the pro tier, users perceive that as essential for growth. If they cap emails sent, users feel restricted. The former drives upgrades; the latter drives frustration. The trick is making the upgrade feel like a natural progression, not a punishment for success. Luna: That's a great distinction. It’s about framing. So if I’m building a tool, I should think about which constraints feel empowering versus which feel limiting. Lucas: Yes. Empowering constraints are thresholds that unlock new capabilities. Limiting constraints are ceilings that stop you from doing what you want. Your pricing page should highlight the unlocks. When you design for elasticity, you're essentially designing for aspiration. Customers want to be the kind of user who uses the pro features. Luna: Aspiration is powerful. But what happens when the market gets saturated and everyone is fighting for the same budget? Lucas: Then you lean harder into differentiation. In 2026, with thirty hundred daily shows competing for attention, generic SaaS is dead. You need a niche. Even within that niche, you need a unique pricing angle. Maybe you offer outcome-based pricing, where you charge per result rather than per seat. That shifts the risk from the buyer to the seller, but it also aligns incentives perfectly. Luna: Outcome-based pricing sounds risky for the vendor though. What if you deliver the result but the client doesn't see it? Lucas: That's why it requires robust measurement. You need clear KPIs defined upfront. If you can prove you generated a lead or closed a sale, the price becomes irrelevant. It's an investment, not a cost. This approach drastically reduces elasticity because the customer is paying for ROI, not software access. It's the ultimate de-risking strategy for the buyer. Luna: I like that. It turns the transaction from a commodity purchase into a partnership. But not every product can measure outcomes that cleanly. Lucas: True. For those, stick to value-based tiers. Focus on the job to be done. Ask yourself: what problem does this tier solve that the lower one doesn't? If the answer is vague, your pricing is vague. Vague pricing leads to high churn because customers don't understand why they're paying. Clarity creates trust, and trust lowers elasticity. Luna: Clarity creates trust. That’s a simple phrase, but it carries a lot of weight in subscription models. Lucas: It really does. Now, before we dive deeper into the mechanics of tier design, I want to pause for a quick note. If these conversations are useful for what you're building or running, a couple of dollars a month is genuinely what keeps these going. You can support the show directly at buy me a coffee dot com slash fexingo. It helps us keep producing ad-free content that cuts through the noise. Luna: Yeah, it’s a small gesture that makes a big difference for independent creators trying to cover complex topics like this. Lucas: Thanks to anyone who chips in. Let's get back to the core issue: how do you communicate this value effectively? Because even the best pricing model fails if the messaging is confusing. The pricing page is your primary sales tool. It needs to answer three questions immediately: what is it, how much does it cost, and why should I care? Luna: And usually, the 'why should I care' part is buried under technical jargon. How do we fix that? Lucas: Use plain language. Replace 'API access' with 'connect to your existing tools.' Replace 'unlimited seats' with 'bring your whole team.' Speak to the outcome, not the feature. When you translate technical specs into business benefits, you reduce cognitive load. Lower cognitive load means faster decisions. Faster decisions mean higher conversion rates. Luna: It’s basically translation. Turning engineer-speak into buyer-speak. Lucas: Exactly. And consider social proof. Show logos of similar companies using the pro tier. Highlight testimonials that mention specific results. This validates the higher price point. It signals that others have made the leap and succeeded. Social proof lowers perceived risk, which again, impacts elasticity. If peers are willing to pay more, you're safer doing it too. Luna: So it’s a holistic system. Pricing, messaging, social proof, all working together to shape perception. Lucas: It is. And don't forget the trial experience. A free trial is a marketing channel. If users don't achieve 'aha moment' quickly, they won't convert regardless of your pricing. Optimize the onboarding flow to highlight the premium features early. Let them taste the upside. Once they experience the value, the price becomes easier to justify. Luna: Taste the upside. I like that. It’s about creating desire before asking for commitment. Lucas: Precisely. Desire drives action. Logic justifies it. Your job is to create both. Start with the elasticities of your current base. Segment them. Test different price points. Measure the response. Iterate constantly. Pricing is never done. It evolves with your product, your market, and your customers. Luna: So the takeaway is: don't set it and forget it. Treat it as a dynamic lever for growth. Lucas: Yes. And remember, the goal isn't just to maximize revenue today. It's to build a sustainable relationship where customers feel they're getting fair value. Fair value reduces churn, increases lifetime value, and turns customers into advocates. That’s the real win. It’s not about squeezing every penny out of a transaction. It’s about creating a partnership that lasts. Luna: Partnership over transaction. That shifts the entire mindset from sales to service. Lucas: It does. And in a crowded market, service is your competitive advantage. When everyone else is fighting on price, you compete on value. That’s how you survive the saturation. That’s how you grow. Keep testing, keep listening, and keep refining. The market will tell you what it’s worth if you ask the right questions. Luna: And if we start hearing those questions more clearly, maybe we’ll finally stop guessing and start knowing. Lucas: Exactly. Knowing is power. And in business, knowledge is the only currency that never depreciates.