The Naked Truth: 30% of US Unicorns Have No Patents

Foresight ValuationIt seems that not a day goes by without a commentary about Unicorns, a Silicon Valley-coined term used to describe a startup (pre-exit) with a valuation exceeding $1 billion. The number of Unicorns, the vast majority of which are US software companies, has recently crossed the 150 mark, according to the TechCrunch Unicorn leaderboard. Topping the US Unicorn list are high flyers like Uber at $51 billion and Airbnb at $25.5 billion, followed by companies that are mostly concentrated in three industries: Consumer Internet, E-commerce and Software.

Unicorns have captured the attention of investors, analysts and other market observers who are trying to understand the factors driving the formidable valuations commanded by these mythical ventures and, in some cases, bet on their future, or even announce their sudden demise.

Since we at Foresight Valuation Group specialize in analyzing the valuation of intellectual property (IP) as a strategic business asset on the one hand, and the valuations of startups on the other hand, we took upon ourselves to look into the most recent list of Unicorns and try to understand the patent position of these companies, and how it may be correlated with valuation. 

The Data Sample: Over 65% Are Software Companies

We did not conduct a complete analysis of the Unicorns and their portfolios, limiting our analysis to a quick patent count of issued and pending US patents. Our data collection was based on the following criteria:

  • We focused only on the US Unicorns, as identified by the TechCrunch Unicorn Leaderboard Country designation, to neutralize any country-specific effects;
    • Of the 151 current Unicorns, 95 were listed under a US designation.
  • Using the Innography patent analytics platform we determined the number of active US patent assets (issued and pending) that were assigned to the Unicorn (or known subsidiaries) according to the Innography database;
    • Patent assets held under the name of inventors or not yet having been assigned to the corporate entity, were not included in this analysis.
  • The patent count only includes those patent assets that have been published, and therefore may not represent the full number of US patent assets owned by any Unicorn due to the 18 month delay in publication.
  • For consistency of data, Foresight relied upon the Valuation, Funding, and Market designations given to the Unicorns by CrunchBase and published by TechCrunch.

An initial overview of the dataset of current US Unicorns revealed a sample consisting of over 65% software companies (across the Advertising, Software, Consumer Internet, E-commerce, Enterprise SaaS and Security categories):

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Since our sample consists of relatively young startups (the median age of the US Unicorn group was 8 years), and US patents take at least 3 years to issue on average, we did not expect a fully mature patent portfolio with hundreds of assets. In addition, our experience shows that emerging Software companies (which constitute over 65% of the sample) are less likely to have a large IP portfolio, as compared with pharma, biotech, or hardware companies, as their valuation relies more on the number of users in the early stage.

Having said that, given the large resources available to these companies (median funding of $277 million), and the high exposure created by the Unicorn valuations (median valuation is $1.35 billion), we were looking for indications of a solid intellectual property foundation that could mature with the company and support the sustainable growth and competitive positioning of these Unicorns.

Our Findings: Value Distribution Not Correlated with IP Distribution

Overall, we found out that 30% of US Unicorns have no US patent assets at all! About 62% of US Unicorns have only 10 or less (issued and pending) US patents in their name; these companies account for more than $157 billion in collective valuation and $25 billion in combined funding.

The chart below presents the US Unicorn IP portfolio holdings breakdown by number of patent categories:

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Taken as a group, there’s an “IP Gap”: the value distribution is not correlated with the IP distribution: 53% of total US patent assets are assigned to only 8% of companies, which account for 17% of the overall value and 11% of the overall funding.

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This “IP Gap” varies by industry, so some industries represent a more balanced ratio of IP holdings to valuation, as a percentage of the total group, but some industries are completely out of balance, like the Consumer Internet industry. The CrunchBase definition of “Consumer Internet” includes a wide range of companies such as Uber, EventBrite, SnapChat and Airbnb. While this group of companies received 33% of the cumulative funding and accounts for 38% of the combined valuation, its members collectively hold only 8% of the patents, as seen in the chart below.

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Taken together, these high level findings seem to lead to a preliminary conclusion that IP assets are not an important factor driving Unicorn valuations, nor do IP assets seem to play a critical role in the business strategy of a large percentage of these companies, as over 60% of Unicorns have fallen behind in securing a strong IP position.

Should Unicorn Investors be Alarmed by the IP Gap?

At Nest what we did was make sure that we are putting [effort in] a ton of patents … this is what you have to do to disrupt major revenue streams.” — Tony Fadell (Founder and CEO, Nest Labs).

Like Nest, many of the US Unicorns, such as Uber and Airbnb, are disrupting existing, well-established industries, where having a strong IP position is absolutely critical. This point is particularly poignant when disrupting existing, well-established industries using Consumer Internet platforms, like many of these Unicorns do. An example of such a situation is that of booking sites that accounted for over 40 percent of travel reservations last year. These companies quickly realized the need to protection their disruptive technology to prevent the hotel chains from recovering this lost revenue stream. While hotel chains were slow to patent their ideas, if at all (i.e., Starwood Hotels and Resorts have 5 US Design patents, Hilton Worldwide has no US patent assets, and Marriott International has one US Utility and 2 US Design patents), online travel bookings sites created a market with over $150 billion in gross booking in 2013 and were quick to seek protection for their innovations (for example, Priceline.com has 95 US patent assets, Expedia has 39, and Kayak has 25 – each booking site has more than Starwood, Hilton and Marriott combined).

While the IP gap documented in our study obviously does not hinder the billion dollar valuations in the short term, we predict that it could pose serious problems in the long term, as these Unicorns strive to sustain their competitive advantage, or approach an exit event. We also predict that this gap could serve as an opportunity for increasing the liquidity of some IP assets in the marketplace, as some of these companies will no doubt show up as buyers as their exit event approaches, as they try to enter new markets, as they encounter incumbent patent lawsuits, or any such event that forces them to strengthen their IP position. 

We further examined a group of “exited Unicorns”, as listed by CrunchBase, to gain additional insights as to their IP positions at the time of their exit event (IPO) by comparing the portfolios of current Unicorns to those of exited Unicorns. It should be noted that we did not differentiate between organic patents v. acquired patents which might impact the true number of company patents when determining past patent asset counts for exited Unicorns. With the exception of three exited Unicorns: Lending Club, Shopify, and Zulily, all 9 remaining US Unicorns had sizable IP portfolios at the time of their IPO, much larger than the median US Unicorn portfolio (8 patents) of the current Unicorn group that we analyzed for this study (see table below).

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Some of the highlights that stand out when looking at the data include:

  • Facebook currently has more (and had nearly as many at the time of IPO) patent assets than the entire list of 95 US current Unicorns.
  • Groupon has more patent assets than all 10 current E-commerce Unicorns combined.
  • LinkedIn has over 300 more IP assets than all 36 software Unicorns combined. 

Is the IP Gap Likely to Lead to Patent Purchase Spree by Unicorns? 

There are several junctures where any company, and in particular a Unicorn with an abnormally high valuation, is most vulnerable when having a weak IP position: entering new markets with established incumbents, and approaching an exit point such as an IPO (or M&A).  

Under current US “first to file” patent regime post-AIA, Unicorns that show no organic patent growth may have lost the ability to patent a large portion of their core inventions due to missing key priority dates, and may need to make up for it by buying patents (or companies holding patents) in response to competitive threats, spending hundreds of millions of dollars in the process.

Google and Facebook are two well-known examples of companies that had to deal with these types of situations, and ended up with massive IP acquisitions:

  • Google’s acquisition of Motorola Mobility for $12.5 billion in 2011 was primarily driven by the need to improve its IP position through a massive acquisition, in order to enter the mobile market. Google has since become one of the largest patent holders with over 23,000 active US patent assets, including over 19,000 grants and close to 5,000 applications.
  • Facebook, one of the original Unicorns, was hit by a patent lawsuit filed by Yahoo a month prior to its IPO, which is a very vulnerable exit point where a lawsuit can be detrimental and potentially even derail an IPO. Since it had very few patents to fight back and countersue Yahoo, Facbook ended up paying hundreds of millions of dollars buying patents from AOL, IBM and Microsoft in order fight the lawsuit and bolster its IP position to reduce its exposure in the future.

In conclusion, while some of the Unicorns analyzed in the study have embarked on the journey of creating a solid IP portfolio, as many as 61% of US Unicorns seem to have fallen behind. It is in the best interest of management and investors of these companies to examine their IP position and analyze their exposure, particularly if they are planning to enter new markets, are facing impending litigation or are approaching an exit event.

5 steps to follow for hiring top performers

Recent news stories noted that it was 10 times easier to get a job at Goldman Sachs than at Google. While these are two different industries with different needs for talent, the story highlights the intensifying fight for top talent between Wall Street and Silicon Valley — in part due to the changing nature of banking jobs, which no longer meet the profiles of thrill-seeking applicants.

This revelation raises the question of how banks, or any other organization, can consistently attract top talent and how to make sure there’s a good fit between the applicant and the position.

I sat down with Gary Morais, whose company developed a suite of HR software tools called 10Rule, which helps companies hire and train their employees to match the top 10 percent of performers for every position.

According to Morais, hiring top talent is critical to lowering turnover and creating a high-performance culture for the organization. To achieve these goals, companies need to have a strategic recruiting methodology based on performance metrics that can sustainably replicate the organization’s known successes, leading to higher bottom-line results.

Here are five important tips that every organization should follow to streamline the hiring process and achieve these recruiting goals:

1. Measure top performers for performance-execution capabilities

Most managers can easily identify these individuals because top performers stand out among any group of employees. These individuals need to be assessed for “performance execution” capabilities, which should not be confused with personality, style or competency. Performance execution capabilities are linked to the individual’s internal-performance thinking that drives or delivers the job tasks and the ability to meet specific goals.

2. Rate the performance of selected talent

It’s important to confirm that the top performers have the right performance drivers necessary to get the job completed. This rating is a way of double checking which performance drivers are producing the desired outcomes needed for best productivity for any given job or role.

3. Benchmark the position based on performance indicators

Creating a visual picture of the top performers of any given position for the recruiters and hiring managers, to guarantee hiring success. This job bench template must correlate to the same performance drivers measured for the top performers, based on ranges that are critical to the maximum productivity and sustainable financial results for the organization.

4. Assess incoming job applicants

Use the same performance metric as determined in the first step to identify all performance capabilities needed for the position and job bench. The candidates should provide the proper information not only on how they will normally perform, but also how the applicant would perform under stress or pressure, which may be the norm in today’s fast-moving competitive market.

5. Interview with a custom behavioral interviewing questionnaire

The candidates should also provide a custom behavioral interviewing questionnaire, so the recruiting and hiring managers are on the same page. This questionnaire must be customized to the applicant’s internal performance indicators, which helps weed out the individuals who do not match the job bench template. Both the recruiters and hiring managers must be equipped to view the job bench template, and ask specific interviewing questions to identify exactly the performance qualities needed to hire another top-performing candidate for that position.

Hiring the right candidate isn’t necessarily about just going to the best schools. It’s been consistently proven that the best talent are individuals with the right “performance thinking” that correlates to top performance execution with a specific position. At the end of the day, it’s all about being able to have measurable human capital performance capabilities, and hiring to match the top performers for any given position.

Race to $2 billion: The fastest-growing start-up

Scores of start-ups worth more than $1 billion, known as “unicorns” in the industry, have gained substantial venture-capital funding in the last two years. Dozens have surpassed a $2 billion valuation. And several have passed the $2 billion in just two years.
Slack, the enterprise communication platform that’s taken on traditional email platforms, has become the fastest start-up company to reach a $2 billion valuation, according to data from financial information firm Pitchbook.

The platform, founded in part by Flickr co-founder Stewart Butterfield, got its start in 2009 as an internal platform for an online game called Glitch, but it ultimately failed in that first iteration. It relaunched in 2013 for external use, becoming the product Slack is today.

Slack is a cross-platform communication product for desktop and mobile. Slack creates a messaging and file-sharing tool for companies that feels more conversational than email.

“They hadn’t had too much success. So, they tried [Slack] for about four years. The product was a tool they had developed, among themselves, and they liked it so much that rather than pursue this gaming idea, they would produce what is now Slack,” said Mike Volpi, partner at Index Ventures and a Slack board member.

The possibility of Slack going public is unrealistic “in the short term,” Volpi told CNBC, but it may be a possibility in the future. “It’s still a young company,” he said.

Slack reported $12 million in annual recurring revenue in early February.

The San Francisco-based company has more than 200,000 paid users, and 750,000 people access the service daily, according to company records. Adobe, The New York Times and SoundCloud are among its users, and Slack employs about 130.

Smashes like Slack have risen so sharply in valuation partly because of the immediate, widespread availability of software. The cost of launching a start-up has also dropped.

The emergence of crowdfunding is another integral reason that valuable start-ups have recently grown exponentially, said Christian Catalini, professor of technological innovation, entrepreneurship and strategic management at MIT Sloan School of Management.

“There is a lot of investment by VC, angels and super-angel groups into a lot of new businesses. Many of these will fail, like during the dot-com bubble,” said Catalini.

Slack reached a valuation of $2 billion before the company’s two-year anniversary, at a rate faster than Twitter, Snapchat and Uber, according to recent PitchBook data.

The price of building a company based on software has gone down, said Efrat Kasznik, president and founder of Foresight Valuation Group, a Silicon Valley-based start-up advisory firm. Platforms such as Amazon Web Services have made launching companies, especially those, like Pinterest, that create a community, feasible for entrepreneurs.

“It’s easier to develop software, especially when you have good marketing and good traction,” said Kasznik, who is also a lecturer at Stanford Graduate School of Business. “You cannot grow so quickly in hardware.”

“There is so much pain in the workplace right now,” said Bill Macaitis, Slack’s chief marketing officer, because of the tedious nature of traditional email platforms. Slack is focusing on redefining the way companies communicate. Macaitis said just as he thinks of Uber as a “disruptor” in its industry, he thinks of Slack as a disruptor in the way of workplace communication.

“For Slack, there are 100 similar companies who didn’t make it,” said Kasznik. “You only see the ones who make it.”

Correction: Crowdfunding is named as one reason certain start-ups have grown exponentially. That was misstated in an earlier version of this article.

Rebecca Ungarino

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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