Interesting KPIs (Key Performance Indicators) for a Subscription Company

what-are-key-performance-indicators-kpis

In working with early stage businesses, I often get the question as to what metrics should management and the board use to help understand a company’s progress. It is important for every company to establish a set of consistent KPIs that are used to objectively track progress. While these need to be a part of each board package, it is even more important for the executive team to utilize this for managing their company. While this post focuses on SaaS/Subscription companies, the majority of it applies to most other types of businesses.

Areas KPIs Should Cover

  1. P&L Trends
  2. MRR (Monthly Recurring Revenue) and LTR (Lifetime Revenue)
  3. CAC (Cost of Customer Acquisition)
    1. Marketing to create leads
    2. Customers acquired electronically
    3. Customers acquired using sales professionals
  4. Gross Margin and LTV (Life Time Value of a customer)
  5. Marketing Efficiency

Many companies will also need KPIs regarding inventory in addition to the ones above.

While there may be very complex analysis behind some of these numbers, it’s important to try to keep KPIs to 2-5 pages of a board package. Use of the right KPIs will give a solid, objective, consistent top-down view of the company’s progress. The P&L portion of the package is obviously critical, but I have a possibly unique view on how this should be included in the body of a board package.

P&L Trends: Less is More

One mistake many companies make is confusing detail with better analysis. I often see models that have 50-100 line items for expenses and show this by month for 3 or more years out… but show one or no years of history. What this does is waste a great deal of time on predicting things that are inconsequential and controllable (by month), while eliminating all perspective. Things like seasonality are lost if one is unable to view 3 years of revenue at a time without scrolling from page to page. Of course, for the current year’s budget it is appropriate for management to establish monthly expectations in detail, but for any long-term planning, success revolves around revenue, gross margins, marketing/sales spend and the number of employees. For some companies that are deep technology players there may be significant costs in R&D other than payroll, but this is the exception. By using a simple formula for G&A based on the number of employees, the board can apply a sanity check on whether cost estimates in the long-term model will be on target assuming revenue is on target. So why spend excessive time on nits? Aggregating cost frees up time for better understanding how and why revenue will ramp, the relationship between revenue types and gross margin, the cost of acquiring a customer, the lifetime value of a customer and the average spend per employee.

In a similar way, the board is well served by viewing a simple P&L by quarter for 2 prior years plus the current one (with a forecast of remaining quarters). The lines could be:

Table1: P&L by Quarter

A second version of the P&L should be produced for budget comparison purposes. It should have the same rows but have the columns be current period actual, current period budget, year to date (YTD) actual, year to date budget, current full year forecast, budget for the full year.

Table 2: P&L Actual / Budget Comparison

Tracking MRR and LTR

For any SaaS/Subscription company (I’ll simply refer to this as SaaS going forward) MRR growth is the lifeblood of the company with two caveats: excessive churn makes MRR less valuable and excessive cost in growing MRR also leads to deceptive prosperity. More about that further on. MRR should be viewed on a rolling basis. It can be done by quarter for the board but by month for the management team. Doing it by quarter for the board enables seeing a 3-year trend on one page and gives the board sufficient perspective for oversight. Management needs to track this monthly to better manage the business. A relatively simple set of KPIs for each of 12 quarterly periods would be:

Table 3: MRR and Retention

Calculating Life Time Revenue through Cohort Analysis

The detailed method of calculating LTR does not need to be shown in every board package but should be included at least once per year, but calculated monthly for management.

The LTR calculation uses a grid where the columns would be the various Quarterly cohorts, that is all customers that first purchased that quarter (management might also do this using monthly instead of quarterly). This analysis can be applied to non-SaaS companies as well as SaaS entities. The first row would be the number of customers in the cohort. The next row would be the first month’s revenue for the cohort, the next the second months revenue, and so on until reaching 36 months (or whatever number the board prefers for B2B…I prefer 60 months). The next row would be the total for the full period and the final row would be the average Lifetime Revenue, LTR, per member of the cohort.

Table 4: Customer Lifetime Revenue

A second table would replicate the grid but show average per member of the cohort for each month (row). That table allows comparisons of cohorts to see if the average revenue of a newer cohort is getting better or worse than older ones for month 2 or month 6 or month 36, etc.

Table 5: Average Revenue per Cohort

Cohorts that have a full 36 months of data need to be at least 36 months old. What this means is that more recent cohorts will not have a full set of information but still can be used to see what trends have occurred. For example, is the second months average revenue for a current cohort much less than it was for a cohort one year ago? While newer cohorts do not have full sets of monthly revenue data, they still are very relevant in calculating more recent LTR. This can be done by using average monthly declines in sequential months and applying them to cohorts with fewer months of data.

Customer Acquisition Cost (CAC)

Calculating CAC is done in a variety of ways and is quite different for customers acquired electronically versus those obtained by a sales force.  Many companies I’ve seen have a combination of the two.

Marketing used to generate leads should always be considered part of CAC. The marketing cost in a month first is divided by the number of leads to generate a cost/lead. The next step is to estimate the conversion rate of leads to customers. A simple table would be as follows:

Table 6: Customer Acquisition Costs

table 6.1

For an eCommerce company, the additional cost to convert might be one free month of product or a heavily subsidized price for the first month. If the customer is getting the item before becoming a regular paying customer than the CAC would be:

CAC = MCTC / the percent that converts from the promotional trial to a paying customer.

CAC when a Sales Force is Involved

For many eCommerce companies and B2B companies that sell electronically, marketing is the primary cost involved in acquiring a paying customer. For those utilizing a sales force, the marketing expense plus the sales expense must be accumulated to determine CAC.

Typically, what this means is steps 1 through 3 above would still be used to determine CPL, but step 1 above might include marketing personnel used to generate leads plus external marketing spend:

  1. CPL (cost per lead) as above
  2. Sales Cost = current month’s cost of the sales force including T&E
  3. New Customers in the month = NC
  4. Conversion Rate to Customer = NC/number of leads= Y%
  5. CAC = CPL/Y% + (Sales Cost)/NC

There are many nuances ignored in the simple method shown. For example, some leads may take many months to close. Some may go through a pilot before closing. Therefore, there are more sophisticated methods of calculating CAC but using this method would begin the process of understanding an important indicator of efficiency of customer acquisition.

Gross Margin (GM) is a Critical Part of the Equation

While revenue is obviously an important measure of success, not all revenue is the same. Revenue that generates 90% gross margin is a lot more valuable per dollar than revenue that generates 15% gross margin. When measuring a company’s potential for future success it’s important to understand what level of revenue is required to reach profitability. A first step is understanding how gross margin may evolve. When a business scales there are many opportunities to improve margins:

  • Larger volumes may lead to larger discounts from suppliers
  • Larger volumes for products that are software/content may lower the hosting cost as a percent of revenue
  • Shipping to a larger number of customers may allow opening additional distribution centers (DCs) to facilitate serving customers from a DC closer to their location lowering shipping cost
  • Larger volumes may mean improved efficiency in the warehouse. For example, it may make more automation cost effective

When forecasting gross margin, it is important to be cautious in predicting some of these savings. The board should question radical changes in GM in the forecast. Certain efficiencies should be seen in a quarterly trend, and a marked improvement from the trend needs to be justified. The more significant jump in GM from a second DC can be calculated by looking at the change in shipping rates for customers that will be serviced from the new DC vs what rates are for these customers from the existing one.

Calculating LTV (Lifetime Value)

Gross Margin, by itself may be off as a measure of variable profits of a customer. If payment is by credit card, then the credit card cost per customer is part of variable costs. Some companies do not include shipping charges as part of cost of goods, but they should always be part of variable cost. Customer service cost is typically another cost that rises in proportion to the number of customers. So:

Variable cost = Cost of Goods sold plus any cost that varies directly with sales

Variable Profit = Revenue – Variable Cost

Variable Profit% (VP%) = (Variable Profit)/Revenue

LTV = LTR x VP%

The calculation of VP% should be based on current numbers as they will apply going forward. Determining a company’s marketing efficiency requires comparing LTV to the cost of customer acquisition. As mentioned earlier in the post, if the CAC is too large a proportion of LTV, a company may be showing deceptive (profitless) growth. So, the next set of KPIs address marketing efficiency.

Marketing Efficiency

It does not make sense to invest in an inefficient company as they will burn through capital at a rapid rate and will find it difficult to become profitable. A key measure of efficiency is the relationship between LTV and CAC or LTV/CAC. Essentially this is how many dollars of variable profit the company will make for every dollar it spends on marketing and sales. A ratio of 5 or more usually means the company is efficient. The period used for calculating LTR will influence this number. Since churn tends to be much lower for B2B companies, 5 years is often used to calculate LTR and LTV. But, using 5 years means waiting longer to receive resulting profits and can obscure cash flow implications of slower recovery of CAC. So, a second metric important to understand burn is how long it takes to recover CAC:

CAC Recovery Time = number of months until variable profit equals the CAC

The longer the CAC recovery time, the more capital required to finance growth. Of course, existing customers are also contributing to the month’s revenue alongside new customers. So, another interesting KPI is contribution margin which measures the current state of balance between marketing/sales and Variable Profits:

Contribution Margin = Variable Profits – Sales and Marketing Cost

Early on this number will be negative as there aren’t enough older customers to cover the investment in new ones. But eventually the contribution margin in a month needs to turn positive. To reach profitability it needs to exceed all other costs of the business (G&A, R&D, etc.). By reducing a month’s marketing cost, a company can improve contribution margin that month at the expense of sequential growth… which is why this is a balancing act.

I realize this post is long but wanted to include a substantial portion of KPIs in one post. However, I’ll leave more detailed measurement of sales force productivity and deeper analysis of several of the KPIs discussed here for one or more future posts.

Soundbytes

I’ll begin by apologizing for a midyear brag, but I always tell others to enjoy success and therefore am about to do that myself. In my top ten predictions for 2018 I included a market prediction and 4 stock predictions. I was feeling pretty good that they were all working well when I started to create this post. However, the stock prices for high growth stocks can experience serious shifts in very short periods. Facebook and Tesla both had (what I consider) minor shortfalls against expectations in the 10 days since and have subsequently declined quite a bit in that period. But given the strength of my other two recommendations, Amazon and Stitchfix, the four still have an average gain of 15% as of July 27. Since I’ve only felt comfortable predicting the market when it was easy (after 9/11 and after the 2008 mortgage blowup), I was nervous about predicting the S&P would be up this year as it was a closer call and was somewhat controversial given the length of the bull market prior to this year. But it seemed obvious that the new tax law would be very positive for corporate earnings. So, I thought the S&P would be up despite the likelihood of rising interest rates. So far, it is ahead 4.4% year to date driven by stronger earnings. Since I always fear that my record of annual wins can’t continue I wanted to take a midyear victory lap just in case everything collapses in the second half of the year (which I don’t expect but always fear). So I continue to hold all 4 stocks and in fact bought a bit more Facebook today.

Highlights From the 2018 Azure CEO Summit

It’s All About the Network

On June 13th, 2018, Azure held our 12th Annual CEO Summit, hosted at the Citrix Templeton Conference Center. Success for our companies is typically predicated on the breadth and depth of their networks in Silicon Valley and beyond. This event is a cornerstone of how we support this, providing a highly curated, facilitated opportunity to expand connections for business development, fund-raising, and strategic partner dialogue. It is also an opportunity for our portfolio companies to develop strong relationships with our investors, networks, and among each other, which provides business partnership opportunities, potential future investors and is a first step towards engaging with future acquirers. An incidental benefit to Azure is that the appeal of the event also leads to expansion of our own network.

Throughout the day, we had participation of nearly 70 corporate entities, venture funds and financial institutions, including Amazon, Google, Apple, P&G, Citrix, Ericsson, Intel, Microsoft, Oracle, Trinet, Arcserv, Citibank, SVB, and UBS, in addition to 28 of Azure’s portfolio companies, and six Canadian startups which were invited as part of Azure’s Canada-Bridge initiative. The Canadian companies were selected from a group of about 100 nominated by Canadian VCs. At the event, the six winners gained access to Azure’s Silicon Valley network not only through participation along with our portfolio CEOs in the approximately 370 one-on-one meetings we arranged but also through networking opportunities throughout the rest of the day and into the evening.

Nearly all the Azure portfolio companies participating gave demo-day style presentations to the full audience, which expanded the reach of their message beyond the more intimate one-on-one meetings.

Visionary Keynote Speakers

Azure was quite fortunate in once again having several visionary keynote speakers who provided inspiration and thought-provoking inputs from their experiences as highly successful entrepreneurs and investors.

The first was David Ko, currently President and COO, Rally Health, and formerly SVP, Yahoo and COO, Zynga (famous for Farmville which peaked at 34.5 million daily active users). David provided his vision for the consumer-focused future for managing health and shared lessons learned from his journeys both in taking Zynga public and in leading Rally Health as it has grown in eight years from a company with low single-digit millions in revenue to more than a billion in revenue. Rally works with more than 200,000 employers to help drive employee engagement in their health. Accessible to more than 35 million people, Rally’s digital platform and solutions help people adopt healthier lifestyles, select health benefits, and choose the best doctor at the right price for their needs. The company’s wellness solution focuses on four key areas to improve health: nutrition, exercise, stress reduction and preventive health. Given the astronomical increase in the portion of U.S. GDP spent on healthcare, David pointed out how critical it is to help individuals improve their “wellness” tactics. He believes this is one of the waves of the future to curb further acceleration of healthcare cost.

Shai Agassi, Former President, Product and Technology Group, SAP, and former CEO, Better Place responded to questions posed by me and the audience during a fireside chat.  Shai first shared his experience of building a business that successfully became integrated into SAP, but the heart of his session revolved around his perspectives on the evolution of the electric car and the future emergence of (safe) automated vehicles. He painted a vivid picture of what the oncoming transition to a new generation of vehicles means for the future, where automated, electric cars will become the norm (in 5-10 years). As a result, he believes people will reduce their use of their own cars and instead, use an “automated Uber-like service” for much of their transportation. In such a world, many people won’t own a car and for those that do, their autos will have much longer useful lives thereby reducing the need to replace cars with the same frequency. If he proves correct, this would clearly have major ramifications for auto manufacturers and the oil industry.

Our final keynote speaker was Ron Suber, President Emeritus, Prosper Marketplace, who is referred to as “The Godfather of Fintech”.  Ron shared with us his perspective that we’re at the beginning stages of the ‘Golden Age of Fintech’ which he believes will be a 20-year cycle. He expects to continue to see a migration to digital, accessible platforms driven by innovation by existing players and new entrants to the market that will disrupt the incumbents. What must be scary to incumbents is that the new entrants in fintech include tech behemoths like Paypal, Google, Amazon, Tencent (owner of WeChat), Facebook and Apple.  While traditional banks may have access to several hundred million customers, these players can leverage their existing reach into relationships with billions of potential customers. For example,  WeChat and Instagram have both recently surpassed one billion users. With digital/mobile purchasing continuing to gain market share, a player like Apple can nearly force its users to include Apple Pay as one of their apps giving Apple some unique competitive advantages. Amazon and WeChat (in China) are in a strong position to leverage their user bases.

All That Plus a Great Dinner

After an action packed daytime agenda, the Summit concluded with a casual cocktail hour and outdoor dinner in Atherton. Most attendees joined, and additional members of the Azure network were invited as well. The dinner enabled significant networking to continue and provided an additional forum for some who were not able to be at the daytime event to meet some of our portfolio executives.

The Bottom Line – It’s About Results

How do we measure the success of the Summit? We consider it successful if several of our companies garner potential investors, strike business development deals, etc.  As I write this, only nine days after the event, we already know of a number of investment follow-ups, more than ten business-development deals being discussed, and multiple debt financing conversations. Investment banks and corporate players have increased awareness of the quality of numerous companies who presented. Needless to say, Azure is pleased with the bottom line.

The Valuation Bible – Part 2: Applying the Rules to Tesla and Creating an Adjusted Valuation Method for Startups

This post is part 2 of our valuation discussion (see this post for part 1).  As I write this post Tesla’s market cap is about $56 billion. I thought it would be interesting to show how the rules discussed in the first post apply to Tesla, and then to take it a step further for startups.

Revenue and Revenue Growth

Revenue for Tesla in 2017 was $11.8 billion, about 68% higher than 2016, and it is likely to grow faster this year given the over $20 billion in pre-orders (and growing) for the model 3 coupled with continued strong demand for the model S and model X. Since it is unclear when the new sports car or truck will ship, I assume no revenue in those categories. As long as Tesla can increase production at the pace they expect, I estimate 2018 revenue will be up 80% – 120% over 2017, with Q4 year over year growth at or above 120%.

If I’m correct on Tesla revenue growth, its 2018 revenue will exceed $20 billion. So, Rule Number 1 from the prior post indicates that Tesla’s high growth rates should merit a higher “theoretical PE” than the S&P (by at least 4X if one believes that growth will continue at elevated rates).

Calculating TPE

Tesla gross margins have varied a bit while ramping production for each new model, but in the 16 quarters from Q1, 2014 to Q4, 2017 gross margin averaged 23% and was above 25%, 6 of the 16 quarters. Given that Tesla is still a relatively young company it appears likely margins will increase with scale, leading me to believe that long term gross margins are very likely to be above 25%. While it will dip during the early production ramp of the model 3, 25% seems like the lowest percent to use for long term modeling and I expect it to rise to between 27% and 30% with higher production volumes and newer factory technology.

Tesla recognizes substantial cost based on stock-based compensation (which partly occurs due to the steep rise in the stock). Most professional investors ignore artificial expenses like stock-based compensation, as I will for modeling purposes, and refer to the actual cost as net SG&A and net R&D. Given that Tesla does not pay commissions and has increased its sales footprint substantially in advance of the roll-out of the model 3, I believe Net SG&A and Net R&D will each increase at a much slower pace than revenue. If they each rise 20% by Q4 of this year and revenue is at or exceeds $20 billion, this would put their total at below 20% of revenue by Q4. Since they should decline further as a percent of revenue as the company matures, I am assuming 27% gross margin and 18% operating cost as the base case for long term operating profit. While this gross margin level is well above traditional auto manufacturers, it seems in line as Tesla does not have independent dealerships (who buy vehicles at a discount) and does not discount its cars at the end of each model year.

Estimated TPE

Table 1 provides the above as the base case for long term operating profit. To provide perspective on the Tesla opportunity, Table 1 also shows a low-end case (25% GM and 20% operating cost) and a high-end profit case (30% GM and 16% operating cost).  Recall, theoretic earnings are derived from applying the mature operating profit level to trailing and to forward revenue. For calculating theoretic earnings, I will ignore interest payments and net tax loss carry forwards as they appear to be a wash over the next 5 years. Finally, to derive the Theoretic Net Earnings Percent a potential mature tax rate needs to be applied. I am using 20% for each model case which gives little credit for tax optimization techniques that could be deployed. That would make theoretic earnings for 2017 and 2018 $0.85 billion and $1.51 billion, respectively and leads to:

  • 2017 TPE=$ 56.1 billion/$0.85 = 66.0
  • 2018 TPE= $ 56.1 billion/1.51 = 37.1

The S&P trailing P/E is 25.5 and forward P/E is about 19X. Based on our analysis of the correlation between growth and P/E provided in the prior post, Tesla should be trading at a minimum of 4X the trailing S&P ratio (or 102 TP/E) and at least 3.5X S&P forward P/E (or 66.5 TP/E). To me that shows that the current valuation of Tesla does not appear out of market.  If the market stays at current P/E levels and Tesla reaches $21B in revenue in 2018 this indicates that there is strong upside for the stock.

Table 1: Tesla TPE 2017 & 2018

The question is whether Tesla can continue to grow revenue at high rates for several years. Currently Tesla has about 2.4% share of the luxury car market giving it ample room to grow that share. At the same time, it is entering the much larger medium-priced market with the launch of the Model 3 and expects to produce vehicles in other categories over the next few years. Worldwide sales of new cars for the auto market is about 90 million in 2017 and growing about 5% a year. Tesla is the leader in several forward trends: electric vehicles, automated vehicles and technology within a car. Plus, it has a superior business model as well. If it reaches $21 billion in revenue in 2018, its share of the worldwide market would be about 0.3%. It appears poised to continue to gain share over the next 3-5 years, especially as it fills out its line of product.  Given that it has achieved a 2.4% share of the market it currently plays in, one could speculate that it could get to a similar share in other categories. Even achieving a 1% share of the worldwide market in 5 years would mean about 40% compound growth between 2018 and 2022 and imply a 75X-90X TP/E at the end of this year.

The Bear Case

I would be remiss if I omitted the risks that those negative on the stock point out. Tesla is a very controversial stock for a variety of reasons:

  1. Gross Margin has been volatile as it adds new production facilities so ‘Bears’ argue that even my 25% low case is optimistic, especially as tax rebate subsidies go away
  2. It has consistently lost money so some say it will never reach the mature case I have outlined
  3. As others produce better electric cars Tesla’s market share of electric vehicles will decline so high revenue growth is not sustainable
  4. Companies like Google have better automated technology that they will license to other manufacturers leading to a leap frog of Tesla

As they say, “beauty is in the eyes of the beholder” and I believe my base case is realistic…but not without risk. In response to the bear case that Tesla revenue growth can’t continue, it is important to recognize that Tesla already has the backlog and order momentum to drive very high growth for the next two years. Past that, growing market share over the 4 subsequent years to 1% (a fraction of their current share of the luxury market) would generate compound annual growth of 40% for that 4-year period. In my opinion, the biggest risk is Tesla’s own execution in ramping production. Bears will also argue that Tesla will never reach the operating margins of my base case for a variety of reasons. This is the weakness of the TPE approach: it depends on assumptions that have yet to be proven. I’m comfortable when my assumptions depend on momentum that is already there, gross margin proof points and likelihood that scale will drive operating margin improvements without any radical change to the business model.

Applying the rules to Startups

As a VC I am often in the position of helping advise companies regarding valuation. This occurs when they are negotiating a round of financing or in an M&A situation.  Because the companies are even earlier than Tesla, theoretic earnings are a bit more difficult to establish. Some investors ignore the growth rates of companies and look for comps in the same business. The problem with the comparable approach is that by selecting companies in the same business, the comps are often very slow growth companies that do not merit a high multiple. For example, comparing Tesla to GM or Ford to me seems a bit ludicrous when Tesla’s revenue grew 68% last year and is expected to grow even faster this year while Ford and GM are growing their revenue at rates below 5%. It would be similar if investors compared Apple (in the early days of the iPhone) to Nokia, a company it was obsoleting.

Investors look for proxies to use that best correlate to what future earnings will be and often settle on a multiple of revenue. As Table 2 shows, there is a correlation between valuation as a multiple of revenue and revenue growth regardless of what industry the companies are in. This correlation is closer than one would find by comparing high growth companies to their older industry peers.

Table 2: Multiple of Revenue and Revenue Growth

However, using revenue as the proxy for future earnings suffers from a wide variety of issues. Some companies have 90% or greater gross margins like our portfolio company Education.com, while others have very low gross margins of 10% – 20%, like Spotify. It is very likely that the former will generate much higher earnings as a percent of revenue than the latter. In fact, Education.com is already cash flow positive at a relatively modest revenue level (in the low double-digit millions) while Spotify continues to lose a considerable amount of money at billions of dollars in revenue. Notice, this method also implies that Tesla should be valued about 60% higher than its current market price.

This leads me to believe a better proxy for earnings is gross margin as it is more closely correlated with earnings levels. It also removes the issue of how revenue is recognized and is much easier to analyze than TPE. For example, Uber recognizing gross revenue or net revenue has no impact on gross margin dollars but would radically change its price to revenue. Table 3 uses the same companies as Table 2 but shows their multiple of gross margin dollars relative to revenue growth. Looking at the two graphs, one can see how much more closely this correlates to the valuation of public companies. The correlation coefficient improves from 0.36 for the revenue multiple to 0.62 for the gross margin multiple.

Table 3: Multiple of Gross Margin vs. Revenue Growth

So, when evaluating a round of financing for a pre-profit company the gross margin multiple as it relates to growth should be considered. For example, while there are many other factors to consider, the formula implies that a 40% revenue growth company should have a valuation of about 14X trailing gross margin dollars.  Typically, I would expect that an earlier stage company’s mature gross margin percent would likely increase. But they also should receive some discount from this analysis as its risk profile is higher than the public companies shown here.

Notice that the price to sales graph indicates Tesla should be selling at 60% more than its multiple of 5X revenue. On the other hand, our low-end case for Tesla Gross Margin, 25%, puts Tesla at 20X Gross Margin dollars, just slightly undervalued based on where the least square line in Table 3 indicates it should be valued.

How much do you know about SEO?

Search Engine Optimization: A step by step process recommended by experts

Azure just completed its annual ecommerce marketing day. It was attended by 15 of our portfolio companies, two high level executives at major corporations, a very strong SEO consultant and the Azure team. The purpose of the day is to help the CMOs in the Azure portfolio gain a broader perspective on hot marketing topics and share ideas and best practices. This year’s agenda included the following sessions:

  1. Working with QVC/HSN
  2. Brand building
  3. Using TV, radio and/or podcasts for marketing
  4. Techniques to improve email marketing
  5. Measuring and improving email marketing effectiveness
  6. Storytelling to build your brand and drive marketing success
  7. Working with celebrities, brands, popular YouTube personalities, etc.
  8. Optimizing SEO
  9. Product Listing Ads (PLAs) and Search Engine Marketing (SEM)

One pleasant aspect of the day is that it generated quite a few interesting ideas for blog posts! In other words, I learned a lot regarding the topics covered. This post is on an area many of you may believe you know well, Search Engine Optimization (SEO). I thought I knew it well too… before being exposed to a superstar consultant, Allison Lantz, who provided a cutting-edge presentation on the topic. With her permission, this post borrows freely from her content. Of course, I’ve added my own ideas in places and may have introduced some errors in thinking, and a short post can only touch on a few areas and is not a substitute for true expertise.

SEO is Not Free if You Want to Optimize

I have sometimes labeled SEO as a free source of visitors to a site, but Allison correctly points out that if you want to focus on Optimization (the O in SEO) with the search engines, then it isn’t free, but rather an ongoing process (and investment) that should be part of company culture. The good news is that SEO likely will generate high quality traffic that lasts for years and leads to a high ROI against the cost of striving to optimize. All content creators should be trained to write in a manner that optimizes generating traffic by using targeted key words in their content and ensuring these words appear in the places that are optimal for search. To be clear, it’s also best if the content is relevant, well written and user-friendly. If you were planning to create the content anyway, then the cost of doing this is relatively minor. However, if the content is incremental to achieve higher SEO rankings, then the cost will be greater. But I’m getting ahead of myself and need to review the step by step process Allison recommends to move towards optimization.

Keyword Research

The first thing to know when developing an SEO Strategy is what you are targeting to optimize. Anyone doing a search enters a word or phrase they are searching for. Each such word or phrase is called a ‘keyword’. If you want to gain more users through SEO, it’s critical to identify thousands, tens of thousands or even hundreds of thousands of keywords that are relevant to your site. For a fashion site, these could be brands, styles, and designers. For an educational site like Education.com (an Azure portfolio company that is quite strong in SEO and ranks on over 600,000 keywords) keywords might be math, english, multiplication, etc. The broader the keywords, the greater the likelihood of higher volume.  But along with that comes more competition for search rankings and a higher cost per keyword. The first step in the process is spending time brainstorming what combinations of words are relevant to your site – in other words if someone searched for that specific combination would your site be very relevant to them? To give you an idea of why the number gets very high, consider again Education.com. Going beyond searching on “math”, one can divide math into arithmetic, algebra, geometry, calculus, etc. Each of these can then be divided further. For example, arithmetic can include multiplication, addition, division, subtraction, exponentiation, fractions and more.  Each of these can be subdivided further with multiplication covering multiplication games, multiplication lesson plans, multiplication worksheets, multiplication quizzes and more.

Ranking Keywords

Once keywords are identified the next step is deciding which ones to focus on. The concept leads to ranking keywords based upon the likely number of clicks to your site that could be generated from each one and the expected value of potential users obtained through these clicks. Doing this requires determining for each keyword:

  • Monthly searches
  • Competition for the keyword
  • Conversion potential
  • Effort (and possible cost) required to achieve a certain ranking

Existing tools report the monthly volume of searches for each keyword (remember to add searches on Bing to those on Google). Estimating the strength of competition requires doing a search using the keyword and learning who the top-ranking sites are currently (given the volume of keywords to analyze, this is very labor intensive). If Amazon is a top site they may be difficult to surpass but if the competition includes relatively minor players, they would be easier to outrank.

The next question to answer for each keyword is: “What is the likelihood of converting someone who is searching on the keyword if they do come to my site”. For example, for Education.com, someone searching on ‘sesame street math games’ might not convert well since they don’t have the license to use Sesame Street characters in their math games. But someone searching on ‘1st grade multiplication worksheets’ would have a high probability of converting since the company is world-class in that area. The other consideration mentioned above is the effort required to achieve a degree of success. If you already have a lot of content relevant to a keyword, then search optimizing that content for the keyword might not be very costly. But, if you currently don’t have any content that is relevant or the keyword is very broad, then a great deal more work might be required.

Example of Keyword Ranking Analysis

Source: Education.com

Comparing Effort Required to Estimated Value of Keywords

Once you have produced the first table, you can make a very educated guess on your possible ranking after about 12 months (the time it may take Google/Bing to recognize your new status for that keyword).

There are known statistics on what the likely click-through rates (share of searches against the keyword) will be if you rank 1st, 2nd, 3rd, etc. Multiplying that by the average search volume for that keyword gives a reasonable estimate of the monthly traffic that this would generate to your site. The next step is to estimate the rate at which you will convert that traffic to members (where they register so you get their email) and/or customers (I’ll assume customers for the rest of this post but the same method would apply to members). Since you already know your existing conversion rate, in general, this could be your estimate. But, if you have been buying clicks on that keyword from Google or Bing, you may already have a better estimate of conversion. Multiplying the number of customers obtained by the LTV (Life Time Value) of a customer yields the $ value generated if the keyword obtains the estimated rank. Subtract from this the current value being obtained from the keyword (based on its current ranking) to see the incremental benefit.

Content Optimization

One important step to improve rankings is to use keywords in titles of articles. While the words to use may seem intuitive, it’s important to test variations to see how each may improve results. Will “free online multiplication games” outperform “free times table games”. The way to test this is by trying each for a different 2-week (or month) time period and see which gives a higher CTR (Click Through Rate). As discussed earlier, it’s also important to optimize the body copy against keywords. Many of our companies create a guide for writing copy that provides rules that result in better CTR.

The Importance of Links

Google views links from other sites to yours as an indication of your level of authority. The more important the site linking to you, the more it impacts Google’s view. Having a larger number of sites linking to you can drive up your Domain Authority (a search engine ranking score) which in turn will benefit rankings across all keywords. However, it’s important to be restrained in acquiring links as those from “Black Hats” (sites Google regards as somewhat bogus) can actually result in getting penalized. While getting another site to link to you will typically require some motivation for them, Allison warns that paying cash for a link is likely to result in obtaining some of them from black hat sites. Instead, motivation can be your featuring an article from the other site, selling goods from a partner, etc.

Other Issues

I won’t review it here but site architecture is also a relevant factor in optimizing SEO benefits. For a product company with tens of thousands of products, it can be extremely important to have the right titles and structure in how you list products. If you have duplicative content on your site, removing it may help your rankings, even if there was a valid reason to have such duplication. Changing the wording of content on a regular basis will help you maintain rankings.

Summary

SEO requires a well-thought-out strategy and consistent, continued execution to produce results. This is not a short-term fix, as an SEO investment will likely only start to show improvements four to six months after implementation with ongoing management. But as many of our portfolio companies can attest, it’s well worth the effort.

 

 

SoundBytes

  • It’s a new basketball season so I can’t resist a few comments. First, as much as I am a fan of the Warriors, it’s pretty foolish to view them as a lock to win as winning is very tenuous. For example, in game 5 of the finals last year, had Durant missed his late game three point shot the Warriors may have been facing the threat of a repeat of the 2016 finals – going back to Cleveland for a potential tying game.
  • Now that Russell Westbrook has two star players to accompany him we can see if I am correct that he is less valuable than Curry, who has repeatedly shown the ability to elevate all teammates. This is why I believe that, despite his two MVPs, Curry is under-rated!
  • With Stitchfix filing for an IPO, we are seeing the first of several next generation fashion companies emerging. In the filing, I noted the emphasis they place on SEO as a key component of their success. I believe new fashion startups will continue to exert pressure on traditional players. One Azure company moving towards scale in this domain is Le Tote – keep an eye on them!

When and How to Create a Valuable Marketing Event

Azure CEO Summit
Snapshots from Azure’s 11th Annual CEO Summit

A key marketing tool for companies is to hold an event like a user’s conference or a topical forum to build relationships with their customers and partners, drive additional revenue and/or generate business development opportunities. Azure held its 11th annual CEO Summit last week, and as we’re getting great feedback on the success of the conference, I thought it might be helpful to dig deeply into what makes a conference effective. I will use the Azure event as the example but try to abstract rules and lessons to be learned, as I have been asked for my advice on this topic by other firms and companies.

Step 1. Have a clear set of objectives

For the Azure CEO Summit, our primary objectives are to help our portfolio companies connect with:

  1. Corporate and Business Development executives from relevant companies
  2. Potential investors (VCs and Family Offices)
  3. Investment banks so the companies are on the radar and can get invited to their conferences
  4. Debt providers for those that can use debt as part of their capital structure

A secondary objective of the conference is to build Azure’s brand thereby increasing our deal flow and helping existing and potential investors in Azure understand some of the value we bring to the table.

When I created a Wall Street tech conference in the late 90’s, the objectives were quite different. They still included brand building, but I also wanted our firm to own trading in tech stocks for that week, have our sell side analysts gain reputation and following, help our bankers expand their influence among public companies, and generate a profit for the firm at the same time. We didn’t charge directly for attending but monetized through attendees increasing use of our trading desk and more companies using our firm for investment banking.

When Fortune began creating conferences, their primary objective was to monetize their brand in a new way. This meant charging a hefty price for attending. If people were being asked to pay, the program had to be very strong, which they market quite effectively.

Conferences that have clear objectives, and focus the activities on those objectives, are the most successful.

Step 2. Determine invitees based on who will help achieve those objectives

For our Summit, most of the invitees are a direct fallout from the objectives listed above. If we want to help our portfolio companies connect with the above-mentioned constituencies, we need to invite both our portfolio CEOs and the right players from corporations, VCs, family offices, investment banks and debt providers. To help our brand, inviting our LPs and potential LPs is important. To insure the Summit is at the quality level needed to attract the right attendees we also target getting great speakers.  As suggested by my partners and Andrea Drager, Azure VP (and my collaborator on Soundbytes) we invited several non-Azure Canadian startups. In advance of the summit, we asked Canadian VCs to nominate candidates they thought would be interesting for us and we picked the best 6 to participate in the summit. This led to over 70 interesting companies nominated and added to our deal flow pipeline.

Step 3. Create a program that will attract target attendees to come

This is especially true in the first few years of a conference while you build its reputation. It’s important to realize that your target attendees have many conflicting pulls on their time. You won’t get them to attend just because you want them there! Driving attendance from the right people is a marketing exercise. The first step is understanding what would be attractive to them. In Azure’s case, they might not understand the benefit of meeting our portfolio companies, but they could be very attracted by the right keynotes.

Azure’s 2017 Summit Keynote Speakers: Mark Lavelle, CEO of Magento Commerce & Co-founder of Bill Me Later. Cameron Lester, Managing Director and Co-Head of Global Technology Investment Banking, Jeffries. Nagraj Kashyap, Corporate VP & Global Head, Microsoft Ventures.

Over the years we have had the heads of technology investment banking from Qatalyst, Morgan Stanley, Goldman, JP Morgan and Jeffries as one of our keynote speakers. From the corporate world, we also typically have a CEO, former CEO or chairman of notable companies like Microsoft, Veritas, Citrix, Concur and Audible as a second keynote. Added to these were CEOs of important startups like Stance and Magento and terrific technologists like the head of Microsoft Labs.

Finding the right balance of content, interaction and engagement is challenging, but it should be explicitly tied to meeting the core objectives of the conference.

Step 4. Make sure the program facilitates meeting your objectives

Since Azure’s primary objective is creating connections between our portfolio (and this year, the 6 Canadian companies) with the various other constituencies we invite, we start the day with speed dating one-on-ones of 10 minutes each. Each attendee participating in one-on-ones can be scheduled to meet up to 10 entities between 8:00AM and 9:40. Following that time, we schedule our first keynote.

In addition to participating in the one-on-ones, which start the day, 26 of our portfolio companies had speaking slots at the Summit, intermixed with three compelling keynote speakers. Company slots are scheduled between keynotes to maximize continued participation. This schedule takes us to about 5:00pm. We then invite the participants and additional VCs, lawyers and other important network connections to join us for dinner. The dinner increases everyone’s networking opportunity in a very relaxed environment.

These diverse types of interaction phases throughout the conference (one-on-ones, presentations, discussions, and networking) all facilitate a different type of connection between attendees, focused on maximizing the opportunity for our portfolio companies to build strong connections.

Azure Company Presentations
Azure Portfolio Company CEO Presentations: Chairish, Megabots & Atacama

Step 5. Market the program you create to the target attendees

I get invited to about 30 conferences each year plus another 20-30 events. It’s safe to assume that most of the invitees to the Azure conference get a similar (or greater) number of invitations. What this means is that it’s unlikely that people will attend if you send an invitation but then don’t effectively market the event (especially in the first few years). It is important to make sure every key invitee gets a personal call, email, or other message from an executive walking them through the agenda and highlighting the value to them (link to fortune could also go here). For the Azure event, we highlight the great speakers but also the value of meeting selected portfolio companies. Additionally, one of my partners or I connect with every attendee we want to do one-on-ones with portfolio companies to stress why this benefits them and to give them the chance to alter their one-on-one schedule. This year we managed over 320 such meetings.

When I created the first “Quattrone team” conference on Wall Street, we marketed it as an exclusive event to portfolio managers. While the information exchanged was all public, the portfolio managers still felt they would have an investment edge by being at a smaller event (and we knew the first year’s attendance would be relatively small) where all the important tech companies spoke and did one-on-one meetings. For user conferences, it can help to land a great speaker from one of your customers or from the industry. For example, if General Electric, Google, Microsoft or some similar important entity is a customer, getting them to speak will likely increase attendance. It also may help to have an industry guru as a speaker. If you have the budget, adding an entertainer or other star personality can also add to the attraction, as long as the core agenda is relevant to attendees.

Step 6. Decide on the metrics you will use to measure success

It is important to set targets for what you want to accomplish and then to measure whether you’ve achieved those targets. For Azure, the number of entities that attend (besides our portfolio), the number of one-on-one meetings and the number of follow-ups post the conference that emanate from one-on-one are three of the metrics we measure. One week after the conference, I already know that we had over 320 one-on-ones which, so far, has led to about 50 follow ups that we are aware of including three investments in our portfolio. We expect to learn of additional follow up meetings but this has already exceeded our targets.

Step 7. Make sure the value obtained from the conference exceeds its cost

It is easy to spend money but harder to make sure the benefit of that spend exceeds its cost. On one end of the spectrum, some conferences have profits as one of the objectives. But in many cases, the determination of success is not based on profits, but rather on meeting objectives at a reasonable cost. I’ve already discussed Azure’s objectives but most of you are not VCs. For those of you dealing with customers, your objectives can include:

  1. Signing new customers
  2. Reducing churn of existing customers
  3. Developing a better understanding of how to evolve your product
  4. Strong press pickup / PR opportunity

Spending money on a conference should always be compared to other uses of those marketing dollars. To the degree you can be efficient in managing it, the conference can become a solid way to utilize marketing dollars. Some of the things we do for the Azure conference to control cost which may apply to you include:

  1. Partnering with a technology company to host our conference instead of holding it at a hotel. This only works if there is value to your partner. Cost savings is about 60-70%.
  2. Making sure our keynotes are very relevant but are at no cost. You can succeed at this with keynotes from your customers and/or the industry. Cost savings is whatever you might have paid someone.
  3. Having the dinner for 150 people at my house. This has two benefits: it is a much better experience for those attending and the cost is about 70% less than having it at a venue.

Summary

I have focused on using the Azure CEO Summit as the primary example but the rules laid out apply in general. They not only will help you create a successful conference but following them means only holding it if its value to you exceeds its cost.

 

SoundBytes

The warriors…

Last June I wrote about why Kevin Durant should join the Warriors

If you look at that post, you’ll see that my logic appears to have been born out, as my main reason was that Durant was likely to win a championship and this would be very instrumental in helping his reputation/legacy.

Not mentioned in that post was the fact that he would also increase his enjoyment of playing, because playing with Curry, Thompson, Green and the rest of the Warriors is optimizing how the game should be played

Now it’s up to both Durant and Curry to agree to less than cap salaries so the core of the team can be kept intact for many years. If they do, and win multiple championships, they’ll probably increase endorsement revenue. But even without that offset my question is “How much is enough?” I believe one can survive nicely on $30-$32 million a year (Why not both agree to identical deals for 4 years, not two?). Trying for the maximum is an illusion that can be self-defeating. The difference will have zero impact on their lives, but will keep players like Iguodala and Livingston with the Warriors, which could have a very positive impact. I’m hoping they can also keep West, Pachulia and McGee as well.

It would also be nice if Durant and Curry got Thompson and Green to provide a handshake agreement that they would follow the Durant/Curry lead on this and sign for the same amount per year when their contracts came up. Or, if Thompson and Green can extend now, to do the extension at equal pay to what Curry and Durant make in the extension years. By having all four at the same salary at the end of the period, the Warriors would be making a powerful statement of how they feel about each other.

Amazon & Whole Foods…

Amazon’s announced acquisition of Whole Foods is very interesting. In a previous post, we predicted that Amazon would open physical stores. Our reasoning was that over 90% of retail revenue still occurs offline and Amazon would want to attack that. I had expected these to be Guide Stores (not carrying inventory but having samples of products). Clearly this acquisition shows that, at least in food, Amazon wants to go even further. I will discuss this in more detail in a future post.

The Business of Theater

Earnest Shackleton

I have become quite interested in analyzing theater, in particular, Broadway and Off-Broadway shows for two reasons:

  1. I’m struck by the fact that revenue for the show Hamilton is shaping up like a Unicorn tech company
  2. My son Matthew is producing a show that is now launching at a NYC theater, and as I have been able to closely observe the 10-year process of it getting to New York, I see many attributes that are consistent with a startup in tech.

Incubation

It is fitting that Matthew’s show, Ernest Shackleton Loves Me, was first incubated at Theatreworks, San Francisco, as it is the primary theater of Silicon Valley. Each year the company hosts a “writer’s retreat” to help incubate new shows. Teams go there for a week to work on the shows, all expenses paid. Theatreworks supplies actors, musicians, and support so the creators can see how songs and scenes seem to work (or not) when performed. Show creators exchange ideas much like what happens at a tech incubator. At the culmination of the week, a part of each show is performed before a live audience to get feedback.

Creation of the Beta Version

After attending the writer’s retreat the creators of Shackleton needed to do two things: find a producer (like a VC, a Producer is a backer of the show that recruits others to help finance the project); and add other key players to the team – a book writer, director, actors, etc. Recruiting strong players for each of these positions doesn’t guarantee success but certainly increases the probability. In the case of Shackleton, Matthew came on as lead producer and he and the team did quite well in getting a Tony winning book writer, an Obie winning director and very successful actors on board. Once this team was together an early (beta version) of the show was created and it was performed to an audience of potential investors (the pitch). Early investors in the show are like angel investors as risk is higher at this point.

Beta Testing

The next step was to run a beta test of the product – called the “out of town tryout”. In general, out of town is anyplace other than New York City. It is used to do continuous improvement of the show much like beta testing is used to iterate a technology product based on user feedback. Theater critics also review shows in each city where they are performed. Ernest Shackleton Loves Me (Shackleton) had three runs outside of NYC: Seattle, New Jersey and Boston. During each, the show was improved based on audience and critic reaction. While it received rave reviews in each location, critics and the live audience can be helpful as they usually still can suggest ways that a show can be improved. Responding to that feedback helps prepare a show for a New York run.

Completing the Funding

Like a tech startup, it becomes easier to raise money in theater once the product is complete. In theater, a great deal of funding is required for the steps mentioned above, but it is difficult to obtain the bulk of funding to bring a show to New York for most shows without having actual performances. An average musical that goes to Off-Broadway will require $1.0 – $2.0 million in capitalization. And an average one that goes to Broadway tends to capitalize between $8 – $17 million. Hamilton cost roughly $12.5 million to produce, while Shackleton will capitalize at the lower end of the Off-Broadway range due to having a small cast and relatively efficient management. For many shows the completion of funding goes through the early days of the NYC run. It is not unusual for a show to announce it will open at a certain theater on a certain date and then be unable to raise the incremental money needed to do so. Like a tech startup, some shows, like Shackleton, may run a crowdfunding campaign to help top off its funding.

You can see what a campaign for a theater production looks like by clicking on this link and perhaps support the arts, or by buying tickets on the website (since the producer is my son, I had to include that small ask)!

The Product Launch

Assuming funding is sufficient and a theater has been secured (there currently is a shortage of Broadway theaters), the New York run then begins.  This is the true “product launch”. Part of a shows capitalization may be needed to fund a shortfall in revenue versus weekly cost during the first few weeks of the show as reviews plus word of mouth are often needed to help drive revenue above weekly break-even. Part of the reason so many Broadway shows employ famous Hollywood stars or are revivals of shows that had prior success and/or are based on a movie, TV show, or other well-known property is to insure substantial initial audiences. Some examples of this currently on Broadway are Hamilton (bestselling book), Aladdin (movie), Beautiful (Carole King story), Chicago (revival of successful show), Groundhog Day (movie), Hello Dolly (revival plus Bette Midler as star) and Sunset Boulevard (revival plus Glenn Close as star).

Crossing Weekly Break Even

Gross weekly burn for shows have a wide range (just like startups), with Broadway musicals having weekly costs from $500,000 to about $800,000 and Off-Broadway musicals in the $50,000 to $200,000 range. In addition, there are royalties of roughly 10% of revenue that go to a variety of players like the composer, book writer, etc. Hamilton has about $650,000 in weekly cost and roughly a $740,000 breakeven level when royalties are factored in.  Shackleton weekly costs are about $53,000, at the low end of the range for an off-Broadway musical, at under 10% of Hamilton’s weekly cost.

Is Hamilton the Facebook of Broadway?

Successful Broadway shows have multiple sources of revenue and can return significant multiples to investors.

Chart 1: A ‘Hits’ Business Example Capital Account

Since Shackleton just had its first performance on April 14, it’s too early to predict what the profit (or loss) picture will be for investors. On the other hand, Hamilton already has a track record that can be analyzed. In its first months on Broadway the show was grossing about $2 million per week which I estimate drove about $ 1 million per week in profits. Financial investors, like preferred shareholders of a startup, are entitled to the equivalent of “liquidation preferences”. This meant that investors recouped their money in a very short period, perhaps as little as 13 weeks. Once they recouped 110%, the producer began splitting profits with financial investors. This reduced the financial investors to roughly 42% of profits. In the early days of the Hamilton run, scalpers were reselling tickets at enormous profits. When my wife and I went to see the show in New York (March 2016) we paid $165 per ticket for great orchestra seats which we could have resold for $2500 per seat! Instead, we went and enjoyed the show. But if a scalper owned those tickets they could have made 15 times their money. Subsequently, the company decided to capture a portion of this revenue by adjusting seat prices for the better seats and as a result the show now grosses nearly $3 million per week. Since fixed weekly costs probably did not change, I estimate weekly profits are now about $1.8 million. At 42% of this, investors would be accruing roughly $750,000 per week. At this run rate, investors would receive over 3X their investment dollars annually from this revenue source alone if prices held up.

Multiple Companies Amplify Revenue and Profits

Currently Hamilton has a second permanent show in Chicago, a national touring company in San Francisco (until August when it’s supposed to move to LA) and has announced a second touring company that will begin the tour in Seattle in early 2018 before moving to Las Vegas and Cleveland and other stops. I believe it will also have a fifth company in London and a sixth in Asia by late 2018 or early 2019. Surprisingly, the touring companies can, in some cities, generate more weekly revenue than the Broadway company due to larger venues. Table 1 shows an estimate of the revenue per performance in the sold out San Francisco venue, the Orpheum Theater which has a capacity 2203 versus the Broadway capacity (Richard Rogers Theater) of 1319.

Table 1: Hamilton San Francisco Revenue Estimates

While one would expect Broadway prices to be higher, this has not been the case. I estimate the average ticket price in San Francisco to be $339 whereas the average on Broadway is now $282. The combination of 67% higher seating capacity and 20% higher average ticket prices means the revenue per week in San Francisco is now close to $6 million. Since it was lower in the first 4 weeks of the 21 plus week run, I estimate the total revenue for the run to be about $120 million. Given the explosive revenue, I wouldn’t be surprised if the run in San Francisco was extended again. While it has not been disclosed what share of this revenue goes to the production company, normally the production company is compensated as a base guarantee level plus a share of the profits (overage) after the venue covers its labor and marketing costs. Given these high weekly grosses, I assume the production company’s share is close to 50% of the grosses given the enormous profits versus an average show at the San Francisco venue (this would include both guarantee and overage). At 50% of revenue, there would still be almost $3 million per week to go towards paying the production company expenses (guarantee) and the local theater’s labor and marketing costs. If I use a lower $2 million of company share per week as profits to the production company that annualizes at over $100 million in additional profits or $42 million more per year for financial investors. The Chicago company is generating lower revenue than in San Francisco as the theater is smaller (1800 seats) and average ticket prices appear to be closer to $200. This would make revenue roughly $2.8 million per week. When the show ramps to 6 companies (I think by early 2019) the show could be generating aggregate revenue of $18-20 million per week or more should demand hold up. So, it would not be surprising if annual ticket revenue exceeded $1 billion per year at that time.

Merchandise adds to the mix

I’m not sure what amount of income each item of merchandise generates to the production company. Items like the cast album and music downloads could generate over $25 million in revenue, but in general only 40% of the net income from this comes to the company. On the other hand, T-shirts ($50 each) and the high-end program ($20 each) have extremely large margin which I think would accrue to the production company. If an average attendee of the show across the 6 (future) or more production companies spent $15 this could mean $1.2 million in merchandise sales per week across the 6 companies or another $60 million per year in revenue. At 60% gross margin this would add another $36 million in profits.

I expect Total Revenue for Hamilton to exceed $10 billion

In addition to the sources of revenue outlined above Hamilton will also have the opportunity for licensing to schools and others to perform the show, a movie, additional touring companies and more.  It seems likely to easily surpass the $6 billion that Lion King and Phantom are reported to have grossed to date, or the $4 billion so far for Wicked. In fact, I believe it eventually will gross over a $10 billion total. How this gets divided between the various players is more difficult to fully access but investors appear likely to receive over 100x their investment, Lin-Manuel Miranda could net as much as $ 1 billion (before taxes) and many other participants should become millionaires.

Surprisingly Hamilton may not generate the Highest Multiple for Theater Investors!

Believe it or not, a very modest musical with 2 actors appears to be the winner as far as return on investment. It is The Fantasticks which because of its low budget and excellent financial performance sustained over decades is now over a 250X return on invested capital. Obviously, my son, an optimistic entrepreneur, hopes his 2 actor musical, Ernest Shackleton Loves Me, will match this record.