Four Principles for SaaS Pricing, Part II

The Endowment Effect, a behavioral economics term coined by the University of Chicago economist Richard Thaler, contends that people attribute greater value to a good that they already own or have experienced. In 1990, economists Kahneman, Knetsch and Thaler "found that randomly assigned owners of a mug required significantly more money to part with their possession (around $7) than randomly assigned buyers were willing to pay to acquire it (around $3)." This notion guides the pricing strategy of many start-ups: founders believe that once customers experience or own the product, they will ascribe a greater value than if they know about the product but have not yet experienced it.

While the endowment effect is real and observable, it can lead to a lot of mispricings in the market if used insouciantly. The A16Z podcast on Pricing Free elucidates the dangers of pricing using a "bottoms-up" strategy where companies use a low or "freemium" pricing model, thinking that it would obviate the need for a sales team. "Companies that take that approach can become fairly dominant on the bottom-end of the market, but you may have another competitor who comes in with a sales team, and maybe even an inferior product but a couple additional layers of functionality" which will lead to a price war in an already low-price environment, according to Mark Cranney in this episode. So, the moral of the story is, don't price yourself at the bottom of the market just to get customers to try your product because you might get stuck there.

This leads me to the crux of my post, which is delving into the next two of the Four Principles of SaaS pricing (the first two are covered here).

To review, the Four Principles are to price so that you:  

1. Cover Your Costs
2. Increase Your Valuation 
3. Grow Customers 
4. Signal Appropriately

3: Grow Customers: I want to immediately point out that this tenet could be in conflict with #1, cover your costs, and I talk about covering Customer Acquisition Cost in my previous post. Expanding your business, however, requires expanding your customer base, and it is important to acquire those customers at the right price. And while it isn't the primary impetus for my post, I do briefly want to touch on pricing strategies as they relate to pricing "correctly".

Using the Endowment Effect theory, you'd want your potential customers to experience your product so that they can get attached to it, perhaps even to the point of feeling Loss Aversion at the prospect of not subscribing to it. There are many pricing strategies that achieve this by allowing customers to try out the product in some way, and I won't rehash them here. Instead, I'll direct you to this seminal white paper from Bessemer Venture Partners called "Software as a Service Pricing Strategies." Some of the strategies recommended here are:

• Capacity-based freemium models such as those offered by Dropbox 
• Feature-based freemium model such as that offered by Skype 
• Time-based freemium models, meaning that the company gives potential customers a free trial
• Use-case freemium models such as that offered by Adobe to just the readers 

I like time-based freemium models (with the caveat that it really does depend on your business model) because it allows you to achieve the Endowment Effect with the customers and even lets them feel a little Loss Aversion in case they don't sign up. Once they do sign up, however, you need to make sure that you are pricing appropriately to the rest of the market, something I'll discuss more in the Signal Appropriately section.

For more on pricing strategies, be sure to read Tunguz's posts on How to Price Your Product and The Three Part Tariff.

Using Opportunity Costs in CAC:

One twist to calculating CAC that I recommend is that while traditionally you would use just the paid sales and marketing costs to calculate customer acquisition costs, I would consider forgone income, or opportunity costs as customer acquisition costs as well. So if you would normally charge $100 a month for a product and you give away 2 months of it for a free trial, include those two months of foregone revenue ($200) in your fully-loaded CAC calculation. Obviously, your revenue payback period will be longer when you include the opportunity costs into the calculation. Maybe it'll take you 12-15 months to recover the CAC instead of the benchmark 11 months noted by Tunguz. But I think that this is a good metric to measure so that you don't become cavalier about handing things out for free. It will help you quantify the costs of letting your customers try out a portion of the software, and it will be important to take a pulse of where that metric stands over time to make sure you're headed in the right direction.

4: Signal Appropriately:

In the late 1960's George Akerlof wrote about asymmetric information, an idea that later won him the Nobel prize, in a paper called "The Market for Lemons". In a used car market, for example, buyers may be unable to tell the difference between a good car, worth $1,000, or a "lemon", worth $500.  To account for the possibility of a lemon, buyers cut their prices. Astute buyers may offer $500 to start and sellers, knowing the quality of the car, may or may not accept the offer. And so, Signaling Theory was born, asserting that the quality of an item is endogenous, and that the price of a product signals the quality of it. Hence, it is imperative that the product be priced appropriately. Here, I will elaborate on three types of signals: Market Segmentation Signal, Competitive Landscape Signal, and Customer's Return-on-Investment Signal.

Market Segmentation Signal: 

First, determine to which segment of the market your product will be sold. Who will your customers be? If you want to sell to large enterprises, then don't price your product for small businesses. That's giving the wrong signal, and may actually turn off some enterprises who think your price is indicative of the quality. (There are exceptions to this, of course. If you've figured out a way to bring costs down in a way that others haven't and are passing on those savings to your customers, then by all means, price lower. But you'll have to be very clear in your messaging as to why your quality is better AND your price is lower).

Competitive Landscape Signal: 

Second, price relative to your competitors. Here's where a quantitative model called value-based pricing can prove to be useful. Value based pricing works like this:

1. Determine the cost of your closest competitor


2. Outline the functions that your competitors have that your product does not have. What are those components worth. Try and be objective here, and use market based data where possible. Are there two similar products in the market, one with some functionality missing? What is the delta between the two price points? 


3. List the additional functionality that your product provides, and ascertain the value of that functionality. Again, try to be as objective as possible, and use market data where available. 


4. To arrive at the price of your product, take the price of your closest competitor, subtract what you calculated in #2 and add what you established in #3. 

Especially when you have competitors, value-based pricing presents a great way to calculate the differentiated worth of your product and and set your price accordingly. For more on value-based pricing, check out this Harvard Business Review article. 

Customer's Return-On-Investment Signal: 

Lastly, the price of your product can be a signal how valuable your product will be to your customers. Each customer makes an investment when buying your product, and if you can show him that the return on investment (ROI) will be substantial, it will make his decision to purchase the product a lot simpler. That return can come in many shapes, according to Bessemer, such as increased revenue, time savings, efficiency gains, resource or cost savings, or reduced errors. 

I really like this article by Lincoln Murphy of Sixteen Ventures on pricing. In it, he reveals the 10x rule. "If I sell something for $100, I want to provide at least $1,000 in value to them... at least," he says. 

"You do this by understanding your customer’s Desired Outcome, goals, opportunities, problems, etc. You do this by offering Price Anchors that are not competitive services, but what it would take to replicate this in-house, with low-efficiency, high-cost human beings, what you (or the industry) has paid to create this solution, or the fear of not meeting some level of compliance and the costs associated with that."  

So this may be an exercise in quantifying both the tangible and intangible benefits to arrive at an ROI. When you can quantify the ROI for your customer and compare that against your price, which will be 1/10 or lower than the return, you are signaling your product's value in a very quantitative manner, making it very easy decision to purchase your product. 

The primary take-away from my two pricing posts should be that pricing for SaaS involves both art and science. There isn't one equation for it, and you can't just say, "let's price at where our marginal costs will be." At the same time however, there are plenty of quantitative tools that will help guide and set benchmarks for pricing considerations, and those should be utilized in conjunction with the "art" of knowing your customers, your competitors, and the market.

This post was edited by Andrew Amos.