Latest / SaaS Business with Fexingo: Software-as-a-Service Companies, ARR, and Recurring Revenue / How SaaS Companies Price For Expansion
Transcript
- Lucas: Let's talk about the metric that Wall Street analysts are staring at right now, especially with the September twenty twenty six earnings season cooling off. It is not new logo acquisition. It is not even gross retention. It is expansion revenue, or what we used to call net dollar retention when it stayed above one hundred percent. The question I want to ask you is whether this is a structural shift in how software makes money, or just a temporary reaction to tighter hiring budgets. Luna: I would argue it is structural because the cost of acquiring a new customer has simply become too high for most mid-market firms to justify. If you cannot grow the wallet share of the accounts you already won, your unit economics break down completely. Lucas: Exactly. And the data supports that friction. In the current quarter, companies with strong expansion revenue are trading at significantly higher multiples than those relying on top-line growth through new sales. The classic example here is how platforms like Snowflake or Datadog shifted their narratives. They stopped selling seats and started selling consumption. That changed the entire psychology of the purchase. Luna: Right, because consumption feels like variable cost rather than fixed overhead. When IT leaders see a bill go up because they used more data, it is easier to approve than when they have to buy fifty new licenses next year. Lucas: That is the key psychological lever. But there is a trap many teams fall into when they try to copy this. They design a pricing page that looks good on paper but actually discourages usage. I recently looked at a mid-market analytics firm that tried to move from flat seat pricing to a hybrid model. They kept the base fee too high, so customers hit their usage cap immediately and then stopped growing. The expansion revenue flatlined within two quarters. Luna: So they priced themselves out of the very behavior they wanted to encourage? That sounds like a classic case of confusing volume with value. Lucas: Precisely. Value is not just volume. It is about solving harder problems. When you switch to usage-based or tiered pricing, you are essentially betting that your product becomes more essential as the customer scales. If it does not, you have built a revenue leak. Let me give you a concrete example of a company that got this right. There is a provider called Workday, which has long been a staple in enterprise HR tech. They successfully expanded their footprint by moving from core payroll modules to talent management and financial planning suites. Each module was a new revenue stream that unlocked only after the initial implementation succeeded. Luna: That makes sense because once you are embedded in payroll, switching costs are massive. Adding talent management is just the next logical step for the CFO who already trusts the system. Lucas: Yes, but notice the timing. Workday did not push those upsells aggressively until the core adoption was proven. Many SaaS companies try to cross-sell before the customer has achieved product-market fit within their own organization. That leads to discounting. You start offering twenty percent off the add-on module just to close the deal, which destroys your margin profile early on. Luna: So the real skill is knowing when to open the door for expansion versus keeping it shut until the ROI is undeniable. How do you measure that readiness? Lucas: You look at engagement depth, not just login frequency. A user logging in daily to run a basic report is different from a user building custom dashboards or integrating the API into their workflow. The latter indicates they are depending on the tool for decision-making. That is when you introduce the premium tier. It is not about locking features away; it is about revealing capabilities that solve the next pain point. Luna: I see. So if I am running a SaaS business, I should be auditing my own feature sets to see which ones drive actual workflow integration versus just cosmetic satisfaction. Lucas: Absolutely. And that audit needs to include your pricing page architecture. If your tiers are confusing, you will lose expansion revenue to support tickets. Customers will email sales asking for a custom quote instead of clicking upgrade. That friction kills momentum. We have seen cases where simplifying the tier structure from five options down to three increased upgrade rates by fifteen percent simply because the choice became obvious. Luna: Three tiers is a nice round number. It feels manageable. Five starts to feel like a puzzle you have to solve with Excel. Lucas: It does. And let us touch on the macro environment again. With interest rates stabilizing but still elevated compared to the zero-rate era, investors are penalizing companies that burn cash to acquire customers. Expansion revenue is inherently more efficient because it leverages existing infrastructure. The marginal cost of serving an additional ten thousand users on a cloud platform is negligible compared to the sales commission paid to bring them in. That efficiency is why the valuation gap is widening between growth-stage SaaS firms and mature ones. Luna: It really highlights the importance of unit economics over vanity metrics like total registered users. Everyone knows registered users are meaningless if they never log in. Lucas: Correct. And for those listening who are operators, here is a practical takeaway. Look at your last twelve months of renewal data. Are your expanding accounts also experiencing reduced churn risk? Usually, yes. The more tools a company uses within your ecosystem, the stickier the relationship becomes. This is known as the bundle effect. It is not just about selling more stuff; it is about creating a network of dependencies that makes leaving painful. Luna: So expansion revenue is effectively a retention strategy in disguise. You keep them by giving them more reasons to stay. Lucas: Exactly. And that brings us to a specific mechanism that is gaining traction: outcome-based pricing. Instead of charging per gigabyte or per hour, some platforms are starting to tie price to business outcomes. Like, paying for every qualified lead generated through an integrated marketing automation tool. It shifts the risk from the buyer to the seller, which can accelerate adoption significantly. Luna: That sounds risky for the vendor, though. What happens if the lead quality is poor due to external factors? You end up subsidizing their bad marketing strategy. Lucas: Valid concern. But the vendors doing this usually have tight control over the attribution model. They know exactly where the lead came from. If the integration works, the outcome follows. It requires a high degree of trust, but when it works, the loyalty is fierce. You become a partner in their success, not just a utility bill. Luna: That is a powerful reframe. From vendor to partner. It changes the conversation entirely during quarterly business reviews. Lucas: It does. And speaking of conversations, if you find these deep dives into SaaS mechanics useful for your own business or investment thesis, consider supporting the show directly. It helps us keep producing ad-free content that cuts through the noise. You can find us at buy me a coffee dot com slash fexingo. Any amount helps keep the lights on and the research sharp. Luna: Yeah, we appreciate it. It allows us to dig into these niche topics without worrying about sponsor alignment. Back to the pricing discussion, Lucas. Lucas: Thanks. So, let's circle back to the operational side of this. How do you align your internal teams around expansion revenue? Often, sales reps are incentivized purely on new logo acquisition. They get a big commission check for signing a new contract. They have no incentive to help the customer expand later. That misalignment creates silos. Marketing might promise features that Sales hasn't validated, and Customer Success gets blamed when the customer doesn't upgrade. Luna: So you need to change the compensation plan. Give sales a small override on expansion revenue, or better yet, transition them into account management roles once the deal is closed. Lucas: That is the trend we are seeing. Many companies are splitting the role. Hunter closes the deal. Farmer grows it. The farmer gets paid on retention and expansion metrics. This ensures that the person who knows the customer best is responsible for maximizing their lifetime value. It requires training, obviously, because selling to an existing customer is different than cold outreach. You have to understand their history, their pain points, and their budget cycles. Luna: It feels more consultative. You are not pitching; you are advising. That builds much stronger relationships in the long run. Lucas: Agreed. And for investors watching this, watch for companies that are making this organizational shift. If a SaaS firm announces a restructuring of its sales team to focus on expansion, it is usually a signal that management expects growth to come from within. That is a healthy sign for margins. Conversely, if they keep hiring aggressive hunters while ignoring retention, expect volatility in the coming quarters. Luna: Volatility because new logos are expensive and unpredictable. Existing customers are stable and scalable. Lucas: Right. And finally, let us mention the role of AI in this expansion engine. Tools like Salesforce Einstein or Microsoft Copilot are being bundled into existing suites. They are not always sold as separate products. They are often added as premium add-ons to increase average revenue per user. This is a low-friction way to introduce AI without requiring a full platform migration. Customers can test the waters with a small monthly fee. Luna: That is smart. It lowers the barrier to entry for AI adoption. People are wary of committing to a whole new AI platform, but adding a feature to something they already use is easy. Lucas: Exactly. It is the Trojan horse strategy. Once they see the productivity gains, they are likely to expand further into the broader AI ecosystem. It is a gradual build-out of dependency. So, as we wrap up, the lesson is clear. Stop obsessing solely over the top of the funnel. Look at the bottom. Nurture the accounts you have. Expand the value you provide. Because in a crowded market, the companies that win are the ones that make it impossible for their customers to leave. Luna: Or rather, they make it so valuable that leaving feels like a mistake. That is the ultimate moat. Lucas: Well said. Thanks for listening.