Foresight Startup Q&A Blog Series: Modeling Unit Economics

 

The Foresight team regularly spends time answering our startup clients’ most pressing questions regarding Financial Modeling, IP Strategy, Valuation, and more. We’ve decided to share some of these important insights in our Startup Q&A Blog Series. This article deals with modeling Unit Economics for your early stage business.

Question:

How Do I Model My Unit Economics? 

One of Foresight’s startup clients approached us asking for advice on how to model the Unit Economics for 2 different business models that the company was considering. The client was launching an Airbnb-type venture and weighing the pros and cons of a Subscription model and Commission model. Although the 2 business models are very different, the Unit Economics modeling is fairly similar, with the largest difference being the Monthly Recurring Revenue (“MRR”) component.

Answer:

  1. Identify the Unit 

The first step to modeling Unit Economics for a majority of (if not all) businesses is to identify the Unit. The Unit is the revenue generating component of your financial model. For a Consumer Software/Subscription business (i.e. Spotify, Microsoft Office 365, etc.), the Unit is likely a single subscriber. Conversely, for Enterprise Software-as-a-Service (SaaS) businesses (i.e. Salesforce, Workday, etc.), the Unit may be an entire organization with many users. In any case, the best starting point for thinking about your Unit may be identifying your “average customer.”

In the case of our client’s Airbnb-type business, the answer is somewhat counter intuitive. The Unit in both cases, Subscription and Commission, is not the end-consumer (the people using the platform to rent). Instead, the Unit is the “Host” – the owners of the assets that are listing their property on the platform. This is because the Hosts are ultimately driving revenue for the business, either through monthly subscription fees or by sharing a portion of their rental proceeds.

  1. Determine Your Customer Acquisition Cost (CAC) 

Once you’ve identified your Unit, the next step is to determine how much it will cost your business to “acquire” them. By definition, for your Unit Economics modeling it is important that you isolate the cost to acquire and onboard a single Unit. There are commonalities among almost all businesses that will be included in your CAC, such as sales expenses, marketing expenses and salaries, but it is also important to consider less-obvious costs that may be more unique to your business, such as data hosting expenses, legal fees, etc.

Again, since the Unit was consistent for our client across both business models, the components of the CAC were also consistent. However, differing business models have significant implications for the CAC that are important to consider. In this case, the Marketing Expenses required to acquire a Host under the Commission model are likely much less than the expenses under the Subscription model. At the most basic level, this is because the costs to acquire a paying user is typically far greater than the costs to acquire a free user.

  1. Calculate Monthly Recurring Revenue (MRR) 

The MRR for your Unit Economics model is another critical input that looks at the amount of revenue that your business collects from each Unit on a recurring basis. The simplest determination of MRR is for a subscription business with a single subscription tier. If the business only offers 1 subscription level, to 1 type of customer, then the MRR is equal to the monthly subscription fee. The MRR calculation becomes more detailed as you begin to add additional subscription tiers, different types of customers, add-on features, etc. In these cases, you should again undertake the exercise of determining the characteristics of your average customer, and calculate the recurring revenue generated based on these features.

For our client, MRR is the component of the Unit Economics model that differs the most between the 2 business model options. For the Subscription model, the determination of MRR is again fairly simple – it is equal to the monthly subscription fee that the average Host will pay to list their assets on the platform. For the Commission model, however, the calculation becomes much more involved. Because the revenue generated from the Unit under the Commission model is not uniform or guaranteed, many assumptions need to be made about the transactions. These assumptions include Average Transaction Size, Average Number of Transactions per Month,  Average Number of Listings per Month, etc. From this example, it is clear how quickly the MRR calculation can complicate.

  1. Know Your Industry Benchmarks (Churn Rate) 

Particularly in the early stages of your business and Unit Economics modeling exercise, it is important to be acutely aware of your industry benchmarks. For inputs such as CAC and MRR, although each business will have unique values, it should raise a “red flag” if your inputs are orders of magnitude away from what similar companies are reporting. If solid justifications exist for your deviation from industry norms, proceed with your modeling but be prepared to answer questions about the abnormalities.

While CAC and MRR are determined using internal inputs and assumptions in conjunction with industry benchmarks, Churn Rate (“Churn”) will come exclusively from benchmarks for all new companies. Churn is defined as the percentage of customers that you lose each month. In the early stages of your business, you simply lack the operating history to know how “sticky” your service is, so instead you should turn to the market to tell you how frequently customers leave (unsubscribe, cancel, become inactive, etc.) similar platforms.

Using these 4 steps as a starting point, you should be well on your way to constructing a solid Unit Economics model. This will become the foundation of your Financial Model as a whole, and help you determine your specific funding requirements among many other key details about your business. For a more in-depth explanation and example of Unit Economics modeling, check out Foresight President, Efrat Kasznik’s talk titled “Telling Your Story with Numbers,” and register to attend one of our upcoming talks!

Startup Q&A Blog Series: Valuing Early-Stage Startups

The Foresight team regularly spends time answering our startup clients’ most pressing questions regarding Financial Modeling, IP Strategy, Valuation, and more. We’ve decided to share some of these important insights in our Startup Q&A Blog Series. This blog deals with valuing an early-stage startup when dealing with seed investors.

Question:

How Do I Value My Seed Stage Startup?

A Foresight client was preparing for a seed funding round, and asked us the best way to value their business. Because early-stage companies lack operating history, and in a majority of cases lack any form of revenue, assigning value to the startup cannot be done with “traditional” methods such as a discounted cash flow analysis or a revenue “multiple” approach. The client is launching a smart wearable health tracking device, and looking to substantiate a $12M pre-money valuation.

Answer:

  1. Know the Current Market Comps

Because early-stage startups cannot be valued on cash flows, investors often turn to the market to determine the “going rate” for businesses in any given sector. This is where the entrepreneur should start as well. Undervaluing your business in negotiations with investors means you will likely give up greater ownership percentage than is necessary – something that should be avoided at any stage of the business, not just the seed stage. Conversely, overvaluing your business could kill the deal before it even starts. When both the investor and entrepreneur are educated on current market conditions, the starting point of valuation negotiations can at least begin in the same ballpark. The ColleyGO publication is a great resource for starting your market research. Below is a sample chart from this report:

Not only can we gather the median pre-money valuation for seed companies of which was $16,725,000 in 2024 according to this chart, but we can also observe trends in seed stage valuation over time. Various public sources are available for valuation research by country, market, etc. As a starting point, Foresight’s client knows that they within the median range with the targeted $12M valuation.

  1. Know What Matters to Early-Stage Investors

Although it is a great starting point, most investors will be a bit more sophisticated in their valuation process than simply taking the market median. In particular, there are certain characteristics of a business that investors will consider when assigning value to an early-stage company. In 2011, Dave McClure, founder of the accelerator 500 Startups, shared insights on his methodology for valuing such companies. McClure said that each of these 5 components of a business were worth $1M in value:

  • Market
  • Product
  • Team
  • Customers
  • Revenue

The value assigned to each point can change over time, and would probably be more than $1M today given the sharp increase in pre-money valuations since 2011.  Each investor has her or his own heuristics.

When developing your pitch deck for the seed round, it is important to keep these factors in mind, and highlight those that are strengths of your own business. If you have existing, brand name customers, make sure to call them out. If you operate in a particularly large or “hot” market, emphasize this and quantify it in any way possible. Our client happens to have a particularly strong founding team with experience working with and launching products in similar industries. This will be a great point to emphasize when negotiating for their target valuation.

  1. Efrat’s “Bonus Point”

One component that is noticeably absent from McClure’s list, and that is particularly pertinent to Foresight, is Intellectual Property. IP gives companies an inherent advantage over the competition, and as such, such advantages should be considered in the valuation of the business. Traditional valuation methodologies often overlook the true value of IP to a business – something that Foresight tries to combat. For this reason, entrepreneurs should be acutely aware of the business’s  IP value from the early stages and understand how it impacts the value of the business as a whole.

When considering your company’s IP and the value it adds to your business, make sure to consider all forms of IP,  not just patents. A granted patent is undoubtedly something to hang your hat on when negotiating valuation, but remember to also highlight things like a strong brand, customer relationships, trade secrets, customer data, etc. Even the potential to develop these strong IP assets is something to be considered for your pitch (for example, the potential of amassing customer data even though you may only have a small number of subscribers at this stage). With 2 design patents and 4 provisional patents, our client certainly has some increased leverage in the valuation discussion.

  1. Bonus Note for Hardware Startups

Hardware startups are still very viable businesses, although they come with a number of inherent challenges that software or service startups do not face. Because of this (and because hardware is not the most trendy space), some early-stage investors may shy away from hardware deals.

For those entrepreneurs dealing with hardware, Foresight recommends a few things. First, be creative when developing your business model. One of the main drawbacks of traditional hardware businesses is that revenue is restricted to a single transaction. Modern business models, like we see in software, integrate things like subscriptions or upgrade plans to increase the recurring nature of the company’s revenue. Second, think about how software can work with your product. Even something as simple as a mobile application can open many more possibilities for your hardware business (customer data, premium content, community building, etc.). Finally, be mindful of your audience when pitching your business. Knowing that the word “hardware” might raise some red flags, be creative in how you present your idea to keep investors engaged. For our client, we suggested simply replacing any mention of the word “hardware” with words like “device,” or “delivery mechanism”.

5 ways the ‘Internet of Things’ transformed the vending machine

The ability to access information generated by connected devices, remotely and in real-time, can enable a fundamental shift in how companies operate and how they generate revenues. By being constantly connected, companies can offer their customers a “product utility as a service,” shifting the value from the actual product to the service this product provides.

Smart vending machines are a great example of the impact of the “Internet of Things” (IoT) on revenue streams and business models.

With improved security, user customization, smart payments and constant monitoring of inventory and consumption patterns, opportunities abound for dispensing new products more profitably using a network of connected devices.

Significant shift

Almost 100 years after vending machines were first deployed, traditional vending machines have evolved with technology to include more digital capabilities, turning them from “dumb terminals” into smart, connected devices. Coke has secured 16 million IP addresses in 2010, which are used for installations such as Freestyle, its new breed of smart vending machines.

Supplying the machines with network connectivity allows Coke to identify each individual machine, track inventory stock levels, conduct real time test marketing, and probably most importantly: track trends and drinking preference and adjust the selections accordingly. More than 2,000 Freestyle machines are currently deployed in fast food locations throughout the U.S. and the U.K.

Tech giants SAP and Intel are each developing a range of platforms and solutions for wired and wireless machines. SAP’s Smart Vending solution (based on the SAP HANA real-time data platform) provides brands the opportunity to engage with their customers through access to real-time management dashboards and visualization tools, displaying timely sales and maintenance information across the entire network and at each individual point of sale.

Intel’s new reference design for intelligent vending provides an easy way to retrofit traditional vending machines into Internet-connected machines. Brands and machine operators can take advantage of new business opportunities, cloud services, and data analytics through a suite of related products and applications.

Here are five examples of how connected machines can enhance economic returns with increased revenues, improved profitability and a better user experience:

1. Digital content delivery

Intelligent software solutions enable the delivery of digital content to every screen of a vending system, with greater impact. Vending machines can act as billboards, providing custom content, such as promotions, videos, games and TV commercials on a unit’s touch screen.

By placing these machines at high-traffic sites, like stadiums and theaters, vendors are able to create an immediate connection with consumers. This helps brands reach unique audiences in a timely manner and allows the brand to remotely manage messages in real time and launch customized content dynamically. This also helps generate new sources of content and advertising revenues that could be distributed between the machine operators, the venues or any entity that controls the facility where the machines are stationed.

2. Smart payments

Users can pay for items using near field communication (NFC) payments, a credit/debit card or other mobile wallet apps. Coke has developed its own cashless gateway to lower transaction costs and increase control over payments. Consumers can also use mobile wallet payment systems such as Google Wallet, a downloadable mobile app, to tap smartphones against vending machines readers to make purchases with one swipe. This provides new sources of revenues for the payment platforms as well as provides better user experience, which in turn can increase usage and customer loyalty.

3. Social commerce

Smart vending solutions provide brands the opportunity to engage with their customers in highly personalized ways. Consumers can use smartphones to identify themselves, build profiles, connect to their social networks, play social games and receive promotions and tailored ads. Social interaction via gifting allows users to send gifts to their friends.

Gifting occurs when users enter their social media accounts for recognition and choose a recipient, which allows for the vending machine to send a notification message to the friend, along with a code that allows the recipient to pick up the gift at a participating vending machine. Vending machines can also utilize gamification to get people to check in and interact, increasing overall user engagement. For example, Coke is affixing QR codes to its vending machine to motivate consumers to create avatars, check in to machines on a regular basis and receive rewards such as avatar virtual gifts.

4. Inventory management

Machines using sensor data and built-in intelligence can make the right inventory decisions. Connected platforms allow manufacturers and distributors to track shipments to distribution centers and to vending machines, as well as collect consumer data from machines to monitor usage for accurate consumable resupply, track sales trends by geography and time of year, and remotely troubleshoot system issues. Software combines the service and stock alerts with sales data so companies can dispatch their service people to the most profitable machines first.

The system also makes smart inventory decisions based on the data it has collected from the vending machine and all of the others owned by this company, as well as data from outside sources. For instance, just because it’s low on ice cream doesn’t mean the system will place orders for more ice cream — not if the weather is supposed to be cold for the next several days. It also takes into consideration other factors, such as popularity, when setting inventory levels, so the right amount of each snack is delivered to the truck for delivery each day.

5. Maintenance and energy savings

Device management applications allow vendors to remotely identify, diagnose, and repair machines. Coca-Cola unveiled an ultra-energy-saving vending machine in Japan that cools beverages down at night yet keeps them cool in daytime with airtight doors and vacuum-insulated material. Peak time energy conservation allows vendors to control and shift power used to cool beverages from day to night. This makes it possible for the machines to offer cold products without using any power, cutting daytime power consumption. Such platforms present endless opportunities for the vending industry to maximize productivity and profitability.

Conclusions

Companies are gradually beginning to realize the continuously evolving relationship between products and services. In their Digital Universe Study, EMC and IDC see the IoT creating opportunities for higher revenue streams, improved processes and operational efficiency, higher market performance and increased customer loyalty.

One important aspect of that is the diversification of existing revenue streams by creating new services and new revenue sources on top of traditional products. The IoT will also make it easier for enterprises to implement end-to-end supply chain management, across functions and geographies, thus operating more profitably and efficiently.

Intelligent operations by accessing information from autonomous end points will allow organizations to make dynamic, real-time decisions about pricing, logistics, sales and support.

5 ways the ‘Internet of Things’ transformed the vending machine @bizjournals

Note: This is an excerpt from the Foresight white paper: “The Internet of Things (IoT): Moving Towards a Connected World.” The full paper is available for download on this link.

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