The Return of Capital Efficiency

Capital efficiency has long been a desirable trait in early/growth stage businesses. But over the last few years, an abundance of capital combined with a “growth at all cost” mindset, allowed founders to deprioritize efficiency. Ignoring efficiency, however, can lead to making cardinal mistakes like misreading true product-market-fit, over-hiring for the stage you are in and burning through too much money too quickly. Furthermore, growth rate and top-line progress are a function of how much capital a business has consumed to get to that point (i.e. getting to $10M in revenue is less impressive if you spent $50M to get there vs spending $5M to get there.)

In a post-covid world, capital efficiency has returned as king. This is especially true in SaaS (which, as a category, has outperformed almost every other category.) Many of the companies that have outperformed during this time frame have been very efficient businesses (e.g. Twilio, Zoom, Shopify, Datadog, etc.) As the fundraising markets dry up a bit and sales cycles lengthen, founders will increasingly be forced to think more about efficiency and investors will pay a premium for efficient businesses.

But how should SaaS founders think about efficiency? Several years ago, Bessemer put out a simple, but helpful rule-of-thumb called the BVP efficiency score. The efficiency score shows a “good-better-best” framework for thinking about capital efficiency (defined as Net New ARR / Net Burn.) They advised founders (under $30M ARR) to think about good-better-best using the table below:

1

While this is a great high-level framework, efficiency among SaaS businesses is a bit more nuanced depending on stage. In the formative days, finding product-market-fit can take time and money. In the early days of growth, building a scalable and repeatable playbook can require significant up-front investment. As the company moves into expansion-mode, the business benefits from clear economies of scale and an improved gtm playbook. In the later stages, the business should be humming and efficiency ought to be at an all-time high.

The point is: benchmarking efficiency in a meaningful way requires looking more closely at stage/ revenue profile. What we really need is an efficiency score for each stage. Or, put differently, a rubric showing how much capital ought to be consumed (and, yes, there is a difference between “raised” and “consumed”) to achieve various ARR milestones along the journey from $0M to $100M in ARR.

Below are two frameworks for founders to use to help answer this question. These tables were developed based on what I’ve seen in the field over the years and have been triangulated with what several other SaaS investors have also seen. The first table is simply a good-better-best framework for total capital consumed to get to different ARR thresholds. The second is a “stage-adjusted” efficiency score. These two tables are, of course, two sides of the same coin.

2

3

Bear in mind these are simple guidelines / “rules of thumb” and anecdotal in nature. Every business has its own set of nuances and unique circumstances. And there is definitely more variability earlier on depending on the nature of the product (i.e. some companies have to invest a lot more in R&D to get the product to market.) Where you land on the grid is less important than what the trend-line looks like and whether you have managed cash wisely (i.e. been a “good steward of capital.”)

To bring this to life a bit, here are a few “hall-of-fame” worthy examples of companies that scaled past 100M in ARR with record breaking efficiency. Note that we are listing capital raised here as a close proxy in the absence of public data on capital consumed:

  • Veeva raised a total of $7M pre-IPO. Current market cap: $33B
  • Appfolio raised a total of $30M pre-IPO. Current market cap: $5B
  • Ringcentral raised a total of $44M pre-IPO. Current market cap: $24B
  • Wix raised a total of $59M pre-IPO. Current market cap: $11B
  • Salesforce raised a total of $65M pre-IPO. Current market cap: $162B
  • Zendesk raised a total of $86M pre-IPO. Current market cap: $9B
  • Realpage raised a total of $86M pre-IPO. Current market cap: $7B

It is no surprise that almost all of the above examples got going in the “good old days” of the 2000s, when capital was less plentiful, and efficiency much more in vogue. Much of this changed in the 2010s, but I suspect we will see the pendulum swing back to some degree in the decade ahead. Hopefully, this helps provide some useful data points in this return-to-efficiency world we now find ourselves in!

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I’d like to thank Alex Kurland (@atkurland), Brian Murray (@murr), Chetan Puttagunta (@chetanp), Logan Barlett (@loganbartlett), Murat Bicer (@itsbeecher) and Parsa Saljoughian (@parsa_s) for their feedback and help in triangulating the numbers here.

Hybrid B2B Revenue Models…and How to Value Them

Summary:

  • While the 2000s and 2010s gave birth to many B2B SaaS greats, the 2020s will usher in a new wave of winners that have far more heterogenous business models.

0. Josh Kopelman

As we begin to reach a certain level of maturity among cloud applications, it has become increasingly clear that we are now moving beyond the first wave of pure SaaS players that came to define the 2000s and 2010s and produced big B2B wins like Salesforce, Atlassian, Zoom, Hubspot and many others. In more recent times, we’ve migrated from this homogenous SaaS world to a more complex world of hybrid businesses, which generate different types of revenue in their quest to build enduring value. This, of course, has played out in many industries beyond software. Costco, for example, was one of the OGs here with its membership subscription fee + item price revenue model.

In some cases, hybrid models are an evolution over time: an early stage company starts with a wedge software product that customers love and then evolves in the growth stages to include additional features that drive new sources of revenue like lead gen fees, payment transaction revenue, lending revenue, etc. This is the story of Shopify, which originally generated subscription revenue for access to its ecommerce software tools before evolving to include additional revenue sources like payments, transaction fees from apps in its app marketplace and other “store-front fees” like domain registration.

In other cases, mixed revenue streams can happen right from the get-go. Our portfolio company, Sendoso, has operated as a SaaS + Transaction revenue-model from Day 1. Customers pay a subscription fee for access to the platform and a set of integrations into the sales, marketing and customer success stack. Additionally, they then pay a separate transaction fee for physical or virtual items sent through the platform to current customers or prospects.

Shopify and Sendoso are certainly not the first businesses with a hybrid model, nor will they be the last. As we enter a world where mixed-models become more common, the two questions then become:

(1) What will these mixed-models look like?

(2) How do founders think about valuation in the absence of less established rules of thumb?

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SaaS: Established Rules of Thumb

But before we get to answering these two questions, it’s helpful to review the basics behind the most successful B2B business model of the last 2 decades: pure SaaS. It is well understood that the two most important financial drivers impacting the valuations of public SaaS companies are, first and foremost, growth rate and second, to a lesser extent, gross margin (though the latter may increase in importance given the recent times.) Below is a view from a basket of SaaS businesses. For illustrative purposes, this is a snapshot taken from February, before the market volatility caused by coronavirus.

1. Growth Rate

2. Gross Margin

To sum: most public SaaS businesses north of 100M ARR that are growing 30–40% with 70–80% gross margins can command a multiple of ~10–12x on the public markets (or at least they could pre-coronavirus; we will know over the coming months whether the current deflation is temporary or here to stay.)

In the “earlier” venture to growth-stage world, this translates into a number of operating levers that are well understood. This post is not meant to be a review of the literature on SaaS metrics but there are some great resources for further reading on these topics, which I’ve included in an appendix at the end.

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Mixed Revenue Models: Forging into Newer Territory

In today’s world, we are seeing a notable uptick in mixed revenue models. B2B companies chasing additional growth opportunities are realizing that once they have achieved clear customer lock-in with one product, maintaining a high growth rate and expanding their TAM, can often be accomplished by cross selling other ancillary products — many times with different types of revenue. This has taken the shape and form of at least four playbooks:

(1) Software + Services

Selling services in addition to software is of course nothing new. In the on-prem/ perpetual license world, professional services were essential to the delivery and implementation of enterprise software. In the cloud application world, professional services typically play a similar role when selling to large enterprises (e.g. the customer base has a lot of F500 customers.) These customers typically require broad integrations, time-consuming security audits and a white-glove experience. While necessary and incremental to top line, services revenue is broadly viewed as less valuable than SaaS revenue.

Workday and Veeva are two great examples of companies that have continued to excel at growing both SaaS and Services revenue. To this day both companies still have a very significant (and growing) services revenue stream (i.e. hundreds of millions of revenues annually) in addition to the SaaS revenue.

3. WDAY and VEEV

(2) Bundled Financial Services

A common theme we are seeing, especially within FinTech is the bundling of financial services. Typically, a business will find initial PMF around a single product with a single source of revenue — for example payments. Overtime, the business will offer its customers additional financial products generating additional revenue from things like lending, referrals to 3rd parties, % of AUM, interchange and a range of other revenue models.

Stripe is a great example of a company that has executed very well on this playbook. In “Act One,” Stripe created tremendous lock-in around it’s payments platform by enabling companies to process card charges on a 2.9% + $0.30 per transaction basis. But as the company evolved over time they built new products with different revenue models (see here for more info):

(3) Software + Bundled Financial Services

But FinTechs are not the only players to bundle financial services. We have begun to see a number of SaaS businesses use application software as an entry point, create lock-in with recurring revenue and then embed a host of other financial services directly into the platform. In doing so, these businesses can generate incredible momentum, widen their TAMs while also maintaining a broad base of stable recurring revenue.

No one has executed better on this playbook than Shopify, which has grown to over $70B in market cap (accelerating through covid-19 no less) and has commanded a revenue multiple of over 30x at certain times. Shopify’s SaaS business gives merchants access to its ecommerce platform + tools to build storefronts; while it’s Merchant Solutions business (i.e. bundled financial services) generates revenue from customers via lending, payments, shipping and referral fees. In the early days, software was the main driver of revenue growth, but over time the financial services have accelerated in a very impressive way.

4. Shopify

(4) Software + Bundled Financial Services + Hardware

The final hybrid model we have seen is effectively #3 above with the addition of hardware. Hardware stand-alone businesses, of course, are notoriously difficult and very hard to operate successfully at scale. But hardware combined with the margins of SaaS and the extended reach of bundled financial services can be a very powerful business. Toast is a great example of a company that has successfully leveraged all three revenue sources to build a very effective business in the restaurant vertical (see here for more info):

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Hybrids: A Weighted Average Approach to Valuation

Mix-model business are thriving and clearly here to say. But valuing high-growth hybrids is more challenging in the absence of the simple heuristics developed for the SaaS world. My suggestion on how to value these companies in the early/growth stages (~$2-$20M in revenue) is to use a weighted average revenue multiple approach. In other words:

1. Break down the business into its various components based on where it is today from a net revenue perspective

2. Apply specific multiples to each of the distinct parts of the business based on general heuristics associated with underlying characteristics like growth rate, margin profile, usage frequency, etc

3. Add in a “boost” or “mute” for external factors like TAM, LTV, retention, depth of competition, customer profile, how the revenue mix may shift over time, etc. This is a big part of the “magic”

4. Use a Sum-Product function across revenue and revenue multiple

Below is a table that illustrates the valuation equation and some general “rules of thumb” as guidance:

5. Valuation

Example One

SMB SaaS business that helps its customers make payments to vendors and also generates a lead gen fee for referring its customers to new vendors. On the SaaS side (SMB so self-serve and no services), the business seems to be in the early innings of a strong growth trajectory (3x.3x.2x.2x.2x) having grown from 2M ARR to 6M ARR in the last year ($4M in revenue associated with the SaaS ARR.) The business did an additional $4M in payments revenue and $2M in lead gen revenue; for a total of $10M in revenue. The company operates in a large, mostly greenfield TAM and, over time, the payments revenue will grow to be the clear leading driver of revenue while the lead gen revenue becomes less relevant.

1_MoweVX8lmWhnLZriKsYzOw

As illustrated above, this is a SaaS + Bundled Financial Services model consisting of subscription revenue, payments revenue and lead-gen revenue. In addition, we applied a relatively high Boost of 0.75 to account for the strong growth profile and large/greenfield TAM; somewhat muted by the lower-multiple payments revenue being the predominant driver of long-term growth. The weighted multiple is ~9x.

Example Two

The second example, a POS terminal business that operates in corporate cafeterias, is also doing $10M in revenue. In addition to charging for the terminals, the company charges an installation fee for set up, generates payments revenue from processed transactions and takes a cut of revenue from any 3rd party apps installed on its devices. However, this business is slower growth due to longer sales cycles (grew < 40% last year.) The company also faces fierce competitors like Square, Toast and Revel.

2

As noted above, this is a Software + Bundled Financial Services + Hardware company. In addition to being comprised of different components than the company in example 1, this is also a lower growth business with 2–3 dominant competitors in market. As such, we added a lower boost scale and the weighted multiple ends up being ~4x.

Template: If you’d like to access these examples, and maybe run a few scenarios yourself, I’ve included a google sheet (here) where you can give it a try. Always open to suggestions on how to improve this so feel free to send my way.

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Final Thoughts

We’re moving into a more heterogenous world, where mixed-model revenue businesses will continue to emerge and thrive. As this new class of companies grow and thrive, founders and investors will need to better understand how to operate, grow and (ultimately) value these businesses. In some cases, it may make a lot of sense to start by valuing a company with one approach (e.g. SaaS) and then layer in other approaches over time as the company evolves. But taking a weighted average approach to valuation in conjunction with a bit of good judgement is a great way to understand valuation for these hybrids.

Appendix: Further Resources on SaaS

Overall SaaS Frameworks:

Growth Rate:

Retention

Sales Productivity / Efficiency

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If you have a different approach, I’d love to hear about it (@MrAllenMiller!) I’d also like to thank Kris (@rudeegraap), Dimitri (@dadiomov), Ian (@iankar_) and Sheel (@pitdesi) for their contributions to this piece.

Navigating the tough times ahead

It’s pretty clear at this point that things are going to get a lot worse in the weeks and months to come before they get any better. The number of COVID-19 cases is accelerating worldwide. Travel restrictions have gone into effect as countries around the world close their borders to curb the spread of the virus. The S&P 500 is down 30% from its peak a month ago and the Dow plunged 3,000 points on Monday alone. Morgan Stanley is now viewing a global recession as their “base case” with an implied $360B loss to US GDP.

As if all that wasn’t enough, some of the yoy OpenTable data coming in is absolutely terrifying with respect to the broader implications we will soon see in the macro economic data. The downturn ahead of us will impact many sectors and millions of households in the US.

OpenTable

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Restructuring & Transformation in a Recession

As I’ve spent much of the past week discussing what this all means with founders in and outside of our portfolio, I find myself thinking a lot about my time in the consulting world. During that time, I had the fortune (or misfortune!) of working on a handful of projects involving companies that had fallen into hard times and required what we called “Restructuring and Transformation Services (RTS).” Regardless of the specific situation, in all of these cases, we would follow a very basic framework designed to diagnose and then triage the (mostly) cost-cutting work from “least painful” to “most painful.”

If you are a founder/CEO finding yourself in a situation in the months ahead where you need to go through a restructuring/ transformation exercise, hopefully this basic framework can help you think through what to do and how to do it.

1. Establish dedicated owners: The first thing to understand about any transformation effort is that you have to have clear ownership. In my consulting years, we would always start by working with the client to set up a “Transformation Office” led by a Chief Transformation Officer. The “TO” would lead the effort, create urgency and drive action. As a startup CEO, the buck stops with you. But it’s a good idea to create a small, cross-functional task-force to serve as an advisory council and to drive change within the organization. These people will be working on the transformation while also doing their full-time job so important to pick people who have the capacity and commitment to the company to wear multiple hats through a difficult patch.

2. Diagnose the problem: The next step is to figure out where you stand, particularly from a cash perspective. Some basic questions to ask and get clear on before you jump into problem solving:

3. Establish the target: After you have diagnosed the problem, determined your cash position/ runway and understand at a high level what levers you have to pull, you now have a “Baseline” to work from. It’s now time to establish the “Target” for cost-take-out. This is the total cost you need to remove from the business to get to a certain “cash-inflection” point (i.e. a new injection of cash via fund raise or getting to break-even.) This target now forms the basis for all actions you put into motion. The target should be a specific number with very clear milestones (ie. mini-targets) that you can work towards achieving.

4. Create a cadence and review process: It is important that the transformation task force you meet with gets into a regular cadence (this means meeting weekly and if the situation is dire enough, daily.) Get in the habit of tracking all transformation initiatives using a project management tool. During my consulting days, we used Wave. But you can use AsanaTrelloMonday or another project-management tool of your choice. The important thing is to ensure that the tool can track initiatives, owners, progress and tie to real outcomes in the P&L. The transformation task force should regularly review progress using the tool’s dashboards and elevate the most important decisions to you, as the founder/CEO, to ultimately make.

5. Focus first on non-personnel costs: When hunting for cost-take-out, the easiest place to start with is non-personnel costs. Here are a few areas to look into — remember any savings here could well mean one less RIF:

6. Be thoughtful about personnel costs: For obvious reasons, things get tricky once you start tapping the personnel-cost bucket; exploring RIFs should be a “last resort.” Once it becomes clear lay-offs are coming, morale tends to slip as does productivity. This is particularly difficult at a startup where things tend to be smaller and feel more personal. Some general tips:

7. Remember the good times will come back: Keep in mind that recessions are temporary and your short-term goal as founder/CEO right now is to “just survive.” But eventually things will pick back up. Customers will return and the momentum will swing back in your favor. When this happens, you will want to be in a position to seize the moment and bounce back in full strength. Having a bit of foresight to “see around the corner” and prepare for that moment will help you return in full force.

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Additional Resources by Topic

In the last few weeks, there have been some really great resources that have come out on topics related to the coronavirus, navigating the pending recession and how to move forward during these difficult times as a founder. Below is an aggregated list of resources worth reading by topic.

General Coronavirus (COVID-19)Information

HR & People Management Resources

General Advice on Downturns

Tools for Planning in a Downturn

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Here’s to hoping that this downturn is as short-lived as possible and the roaring ‘20s come back in full force quickly! If you have additional resources I should add to the list above, send them my way and I will make every attempt to keep this list current.

Anchoring Oak’s efforts out West

**This post was originally published on the Oak HC/FT website here**


Last month, I joined Oak HC/FT’s San Francisco team. I could not be more excited to help identify and partner with the next generation of entrepreneurs in FinTech, building on Oak HC/FT’s strong legacy of investors and operators who have built enduring companies for decades.

Over the course of the last ten years, FinTech has really begun to hit its stride. There are now nearly 40 FinTech unicorns globally (more than any other vertical) worth an aggregate value of nearly $150B. Not bad for a sector that didn’t have a ton of buzz when Oak first started investing in the space in 2002.

FinTech_CBInsights
Source: CB Insights

And this is just the beginning, there will be much more to come in the next 10 years. As I look to the next decade to come, I’m first and foremost eager to learn from the founders and entrepreneurs building at the fore-front of our industry. That said here are a few themes I have been thinking about deeply in recent months and am particularly excited about:

Vertical payments: We have already seen a few successful versions of this playbook including: Toast (restaurants), Flywire (travel & education) and PayIt (government.) But many more verticals could benefit from a bespoke, vertical-specific payments solution including pharma, logistics, manufacturing and more.

Next-generation commerce: Innovation in commerce in recent years has largely come in the form of new payments options (like Square, Affirm and Afterpay.) The next wave of innovation will enhance in-store commerce, logistics/ delivery/ returns, international commerce and buying via new mediums like voice, computer vision and mixed reality.

Intersection of FinTech + AI: Machine learning is already being used in financial services. Our portfolio company, Feedzai, uses machine learning to help banks and merchants fight fraud. In the years to come machine learning will stretch beyond risk and into underwriting, product discovery, predictive intelligence and a number of other use cases.

Middleware tools for developers: Stripe and Plaid have shown us that developers are the next big consumers of financial data and they require tools to access and use that data: be it payments meta-data, account information or piping infrastructure to connect with other financial institutions. As microservices and APIs continue to proliferate, developers will require more tooling to serve end customers.

Banking Applications: Many financial services incumbents suffer from manual-heavy tasks for workflows that have struggled to make the transition to digital. Our portfolio companies Kryon (robotic process automation) and Ocrolus (digitizing financial documents) are two examples of the new wave of companies focused on automation, software-enabled workflows and refined banking applications.

Back-office application software for SMBs: The software stack for most functions (e.g. marketing, sales, customer support, etc.) within an SMB certainly looks a lot better than it did 5 years ago when Oak first invested in Freshbooks. But the finance and accounting functions remain underserved. As SMBs demand better software for their back offices, new entrants will rise to the occasion, providing these businesses with a better way to close their books, pay their vendors and manage payroll.

Financial services for the underserved: Banking services have improved for many of us but there remain many demographics that are underserved. Oak has a history of investing in this category, dating back to NetSpend, which went public in 2010. I’m excited to see founders focus more on low-income Americans, immigrants, freelancers/1099s, older (and younger) generations, those with large sums of student debt, etc.

Future of real estate: Almost everything about commercial and residential real estate stands to be improved for both buyers and sellers. Moreover, the ecosystem players around them (e.g. brokers, agents, lenders, inspectors, etc.) are still mid-transition to cloud-based tools. New entrants in real estate will find ways to improve workflows for these ecosystem players or generate more economic value for buyers and sellers.

If any of this resonates with you, let’s get in touch. I’m focused on opportunities on the west coast (and that certainly includes more than just the Bay Area!) But even if you are outside the west coast, I still want to hear from you. Looking forward to finding ways to collaborate!

Matrix FinTech Index: 2018 Edition

The full overview of the Matrix FinTech Index 2018 edition is available on TechCrunch here.

At the end of 2017 we published the Matrix FinTech Index for the very first time. In what we hope will become an annual tradition, we are excited today to publish an updated index and set of supporting data.

There is no doubt that this has been another stellar year for fintech. In last year’s version of the Matrix FinTech Index, we predicted the crypto enthusiasm would be short lived and that the fintechs would be the more relevant disruptors in 2018. By most metrics this seems to have turned out to be true. A comparison of search interest in “fintech” vs. “crypto” is one clear indicator of this:

Figure 1.jpg

Definition: Matrix Partners considers “fintechs” to be venture-backed organizations that are (a) technology-first companies that leverage software to compete with traditional financial services institutions (e.g. banks, credit card networks, insurers, etc.) in the delivery of traditional financial services (e.g. lending, payments, investing, etc.) or (b) software tools that better enable traditional finance functions (e.g. accounting, point-of-sales systems, etc.)

Methodology & Results

As a refresher, the Matrix FinTech Index is a market-cap weighted index that tracks the progress of a portfolio of the 10 leading U.S. public fintech companies over the course of the last two years (beginning in December of 2016). For comparison, we have also included another portfolio of 10 large financial services incumbents (companies like JP Morgan, Visa and American Express) as well as the S&P 500 index.

With two years of data now in, the results are pretty clear — the fintechs continue to outperform both the incumbents and the S&P 500. 2 year-returns for the fintechs were 133% compared to 34% for the incumbents and 24% for the S&P 500.

Figure 2.jpeg

Updated Data Now Available

As we did last year, we are releasing an updated data package that anyone can download here and which has a range of other helpful information on both the U.S. fintechs and the incumbents. The updated package has much of what we had last year plus a few newer elements:

  1. Market cap and stock price data for the fintechs and incumbents
  2. Comp sheets with financial metrics
  3. Data on the 20 fintech unicorns
  4. Information on the fintech “Brink list” — companies that have raised over $100M in equity financing
  5. M&A & IPO activity in fintech this past year

As always we appreciate your feedback and thoughts on the process and methodology. And we look forward to sharing our thoughts again in 2019!

Enterprise Payments: The next frontier for payments innovation

Towards the end of 2017, we discussed the rise of the FinTechs and briefly alluded to payments as being a key area for further innovation. The payments ecosystem is an ever-evolving space froth with opportunity and plenty of buyers with deep pockets (see Paypal’s announcement a few weeks back). Furthermore, it is a deeply intricate ecosystem with challenging technical problems, shifting regulatory components and a variety of consumer and enterprise use cases. For all these reasons, it is worth a “double click” to explore further.

We have already seen huge amounts of innovation in payments over the last few decades. In the U.S., this innovation was enabled by a few important advances. The establishment (and operation) of ACH by the Federal Reserve Banks and EPN created a much needed electronic network for financial transactions. NFC technology and POS hardware enabled mobile payments. More recently, pay-out APIs and fraud management systems have allowed developers and those working in risk to manage feature build-out while also keeping an eye out for bad actors. And we are just beginning to see some applications of crypto in the payments space — such as this.

Despite these advances, most of the innovation has been focused on two areas: consumer-to-consumer payments (e.g. Venmo), business-to-consumer payments (e.g. Square) or new entrants that facilitate one of the two (e.g. Stripe). A third category, business-to-business payments, has not benefited from innovation to the same degree as the other two categories. This is particularly interesting given that the market size of B2B payments is 5–10x that of C2C or B2C payments. And yet, technology has been slower to transform the B2B payments world. Case in point, B2B payments made by the good ol’ check, as a share of overall transactions, leveled off around 2013 at a point significantly higher than C2C and have actually gone up slightly to ~51%.

Figure 1.jpeg

Existing Challenges

In the early days of C2C and B2C payments, there were many intricacies from a technical and regulatory perspective that had to be navigated very carefully. After all, real consumer money was at play so the stakes were high. The same is true in the B2B world, with a few additional challenges that make things even more hairy:

  • Transaction values are significantly higher: While the volume of B2B payments is much lower (some say in the 9:1 range compared to B2B + C2C), the value of these payments per transaction is much larger. This makes enterprise transactions prime targets for hackers, front-runners and a host of others with bad intentions. Beyond the actual financial risk, enterprises also risk having the banking information of their suppliers and customers exposed.
  • There is greater complexity: In the enterprise payments context there is significantly more complexity. Let’s take the simple example of someone in procurement trying to pay a supplier. Post RFP, legal review, etc., the buyer will need to first work with the various business units and other internal stakeholder to issue a purchase order. The supplier must do the same in order to provide an invoice to the buyer. The buyer must then send a request to the card issuing bank (via p-card or some other mechanism.) The buyer’s bank must then handle settlement with the supplier’s bank. This may happen via check, credit, debit, ACH or even cash. Post-settlement, the buyer and seller must ensure that both their internal financial systems and/or ERP systems are accurately updated. Imagine the complexity involved when doing this hundreds or thousands of times per day across many different payment types (one-off, recurring, up-for renewal, etc.)
  • Many people are involved with any given transaction: As a result of the greater complexity, many heads are involved on both sides of the transaction. Procurement, legal, finance and the BU may all be involved at various stages. B2B payments affect the workflows of a much broader set of people than C2C or B2C payments.
  • The life cycle of a payment is longer: As a result of the added complexity and multiple stakeholders, the duration of the payment is longer than in the C2C and B2C contexts. C2C payments in today’s world can clear in a matter of minutes. On the enterprise side, the payment life-cycle can have a duration of 60, 90 or even 180 days.
  • The life cycle of a payment is longer: As a result of the added complexity and multiple stakeholders, the duration of the payment is longer than in the C2C and B2C contexts. C2C payments in today’s world can clear in a matter of minutes. On the enterprise side, the payment life-cycle can have a duration of 60, 90 or even 180 days.
  • The U.S. is not well structured for top-down fixes to B2B payments: When Europe moved to the Euro, all the participating countries did a significant overhaul of their banking systems allowing them to make significant upgrades to the tech stack. In the process, they solved a number of the pain points above (including significant reduction/ elimination of checks). But in the U.S., the Fed does not have the authority to mandate unified standards. Lack of standardization is particularly tough in the U.S. as we have many more banks than Europe (including regional and community players) — creating a major interoperability problem with few bank-agnostic solutions. Meanwhile, the U.S. banks themselves have made little attempt to create a common solution to fix the antiquated system.

Key Opportunities

While these challenges are daunting (they most certainly are not for the faint of heart!), the good news for new entrants is that the banks and other FIs are unlikely to be the ones to fix enterprise payments. We believe FinTech startups are best positioned to make progress here, bottoms-up. More specifically, there is an enormous opportunity to capture value in enterprise payments($2.1T in payment revenue by 2026) across 5 specific subcategories: (1) capital markets, (2) procurement, (3) treasury management, (4) payment dev-tools and (5) blockchain.

Figure 2.jpeg

  • Capital Markets: Many parts of capital markets (e.g. HFT, commercial lending, etc.) send/receive very large transactions each day. Most of the time these payments are slow, expensive and require manual reviews to ensure they are valid. In the HFT world, for example, every minute matters when making a trade and fees add up. Payments solutions that focus on speed and automation, without sacrificing security will do well here.
  • Procurement: In procurement, enterprises and their suppliers face the problem of trying to integrate procurement software tools, with ERP systems and antiquated payment processes. This problem is particularly challenging with services and in the “long-tail” spend, where some enterprises have to pay tens of thousands of suppliers each year. Solutions that integrate with existing software solutions, simplify the enterprise’s workflow and get the money to the supplier faster (e.g. lower DSO) will have the most success here.
  • Treasury Management: Initiating and managing ACH payments to other businesses, auditing those payments and then closing the books at the end of the month is still not straightforward. Software tools that provide solutions for both the finance and the tech team to navigate this process have a shot at building a must-have for anyone trying to get a grip on treasury management. Particularly for SMBs who don’t have the luxury of simply throwing more people at the problem.
  • Payment Dev Tools: Companies like Stripe and Plaid have created great APIs and financial plumbing tools. But they are largely focused on C2C and B2C payments. B2B developer tools / APIs that work for the IT and risk departments of enterprises and address the complexity therein will do well. Certainly a hairy problem to figure out but there is a lot of spend here for the right solution.
  • Blockchain: In the short run, blockchains have enough technical issues (e.g. scaling, interoperability, etc.) to work through. But in the long-run distributed ledger technology can provide a single database of truth between two enterprises, eliminating the need for ledgers on both sides and making verification/ security a bit more manageable. The real question from a B2B payments perspective is not “if” but “when.”

At Matrix Partners we are deeply interested in backing the next generation of enterprise payments companies. We focus primarily on Seed/ Series A investing here in the U.S. Please let us know if you are building something interesting here — would be great to meet up and learn more!

Tumblr: Innovation in Advertising

I have had something of a difficult time getting into the groove with Tumblr. I have nothing really against the product. Tumblr has a unique microblogging / social networking platform that clearly adds value value to its largely teen and college user segments. In 2011Tumblr boasted an 85% retention rate (compared to, for example, 40% at Twitter). It’s just that my current social media toolkit provides me with a range of options for all my needs. I have…

  • Twitter – for my status updates or thought of the day
  • Pinterest – for my photos / video “blogging”
  • WordPress – for my longer, more thoughtful posts
  • Facebook – for my day to day social interaction
  • Quora – for the questions I have that my current network can’t answer

With all these tools, I’m not really sure where Tumblr will fit into my current computer-mediated-communication (CmC) tool-box. However, there is one thing about Tumblr that I thing is truly innovative and something to look out for: their advertising structure.

The founder of Tumblr, David Karp, has long been a critic of traditional banner or adsense advertising. It can be invasive / annoying for users and costly / ineffective for advertisers. Recently, Tumblr has been toying with some new advertising models that seem to be headed in the right direction.

For example there is the Highlighted Post option. Users or advertisers can pay $1-$5 and have their post get a special sticker to make it standout from the rest in the dashboard. To draw a parallel to one of my favorite sites 4-5 years ago (Digg), it’s like you are paying for “diggs” so that your post ranks higher and therefore gets more views. Sticker options include words such as “On sale now” or “Today only.” These paid blog posts stay at the top of Tumblr home pages of users who are already following those blogs. Users can also click “dismiss” to remove the adds. Furthermore, advertisers are only allowed to link to pages that appear on their own Tumblr blogs.The combined effect of these features is a less invasive experience for users and a more effective, targetted add for advertisers.  It is therefore no surprise that advertisers are lining up to access the 60 million blogs on Tumblr.

Website Basics 101

I’ve recently gotten a few questions from friends about how to build a website, so I thought I’d do a post with an overview of the basics behind building websites. I am by no means an expert on this subject myself, but when I first started coding the summer before my freshman year of college, I had no prior programming experience and spent a fair amount of time just hunting around for good guides to learn from before I built up a basic working knowledge of the various components of a website. I hope this overview will provide a foundation from which I can delve more deeply into specific topics in future entries.

1) Client-Server Architecture
When you type in the url of a website and hit enter, you are sending a request from your device (laptop, desktop, mobile, etc.,) through your browser (Firefox, Safari, Chrome, etc.,) to a remote server asking for the server to load the page of the website for you. The web server receives the HTTP request and then processes it as a static file (html) or as a dynamic file (PHP, Python, Ruby, etc.,). If the file is dynamic, it may require interaction with a database. If this is the case, then as the server is running the script on the file, it will query a database (such as MySQL) and return important data back to the server. The server then serves up the page and sends it back to you through your browser. What you then view is the front end of the website. All of this generally happens in under a second. Below is a diagram of the process:

Diagram Courtesy of ProgrammerPlusPlus.

Let’s unpack these interactions a little more.

2) The Front End
The front end of a website refers to what you see when you view a page. You may see text, figures, color, layout, etc., The front end of a site is generally divided into two categories: content and design. The content refers to the actual words, images and other features on the page. Content is coded using the hyper-text markup language or HTML for short. The design, layout (color, alignment, text size, etc.,) is all coded using cascading style sheets or CSS for short. CSS and HTML work together to make the front end of the site visually appealing. Front end designers often add in things like javascript, flash and AJAX to make the site more visually appealing, but the fundamentals behind the front end are HTML and CSS.

3) Going Dynamic -> Programming Languages
If you want to create something that goes beyond a static page and actually allows user to interact with the site and with each other, you will probably need to use a programming language to create functions and to filter and place content provided by users into data stored in a database. This will require a programming language such as PHP, Python, ASP.NET, Ruby, Perl, etc., If you are just starting out, I highly recommend the PHP framework as the support, documentation and resources out there on PHP are incredible. There’s a reason why many of the heavy hitters out there like facebook, wikipedia and wordpress use PHP. It is an incredibly robust language and easy to scale if you plan well.

4) Building in a Back End
Most major websites and startups these days work with data provided to them by users. For example right at sign up, facebook collects data in the form of: first name, last name, email, password, gender and birthday (and that’s just barely the tip of the iceberg in terms of data they collect and store on users). In order to store and retrieve data, you need a database to house all that data. There are a number of databases that are known to do this well, but MySQL is a database that has long been at the forefront of data storage. In order to place, retrieve and manipulate data, you will need to know the Structured Query Language or SQL.

If you’re new to the coding scene, this may seem like quite a bit to digest at first glance, but luckily the Internet has a tremendous amount of resources on each of these topics. I’d highly recommend Codeacademy – it’s a great way to visually learn how to write code. I also recommend the W3C markup validator to make sure your code is bug free. Finally be sure to test your code across browsers (Firefox, IE7, Safari, Chrome, etc.,) as minor differences is display across browsers can occasionally be a nuisance for users. Good luck and happy hacking.

Mobile Corner: Some Themes

Mobile has been the one of the big buzz themes in startup land for the last year or so. Companies like Foursquare, Spotify and Flipboard are pushing the limit of what our cellular devices can do and generating incredible innovation in areas like social networking, news delivery, digital entertainment, gaming and peer-to-peer communication. Yet despite these successes the market is still quite raw and much remains unknown about what makes a good mobile app successful. Even less certain is the revenue model. Should mobile startups today go with in-app or separate app freemiums? Virtual currency? Subscriptions? A 100% ad based model?

What does seem clear, however, is that, as with web 2.0, it’s all about creating traffic. If you can create a tool that provides value to users and makes something about their lives simpler or more engaging, you may have something that could garner attention in the mobile market. So here are a few of my thoughts on what might make a mobile startup successful:

1) Be light-weight and simple

I doubt that users of mobile apps are looking to get the same experience that they get on their laptop or home computer. The hours spent on facebook on your couch at home are less likely to happen when you’re up and about. When it comes to mobile, people want things that are simple, fast and easy to use. They want to be connected on the go and are focused more on 1:1 connections rather than large social interactions. Kik for example has pushed the frontier of texting, making it an incredibly fast (we’re talking real time) and light weight platform that goes cross-platforms (Phone, Android, Windows Phone 7, Symbian, and BlackBerry)

2) Consider Gaming

The great thing about mobile devices is that they can be taken anywhere. Most people spend a fair amount of time traveling each day (whether on a bus to school, train to work, etc.,) With that commute comes the time to play games on platforms like Zynga. Games have traditionally been a single player human-to-computer interaction but, increasingly it’s becoming more interactive allowing people to connect with existing friends and play peer-to-peer. There are some “gaming” apps that are a bit more serious in nature. Everest for example is a mobile platform for framing and achieving goals. The app lets you create specific goals, break them down into incremental steps and then focus on achieving these goals with the emotional support of friends. This will be an interesting startup to follow as it moves out of beta.

3) Style. Style. Style.

One of the most important keys to the success of a mobile device is its “elegance” factor. Appearances and first impressions matter in the competitive and still developing world of mobile. Apps should follow basic principles of design and usability; they should also mimic the desktop interface closely (or at the very least follow similar conventions). A thoughtfully and creatively designed product stands a much greater chance of being successful in the mobile world. Here’s a link to some mobile apps that were knockouts in terms of style in 2011:

http://mashable.com/2011/12/27/best-mobile-apps-2011/

Migrating to a New Spot

I recently decided to mash things up and move over to this new blogging platform and design template. I was a little frustrated with having my blog entries sort of scattered on a few different platforms and figured that wordpress had the best toolkit to synthesize everything and then continue to build.

There are a couple reasons why I really like the wordpress publishing framework:

  • Unlike other “free” and “open source” solutions that have hidden agendas, WordPress is completely free.  It doesn’t start charging when you hit a certain size, nor does it close off any of its code to you.
  • Plenty of platforms out there offer plugin functionality, but WordPress is by far the smoothest and easiest to use.
  • WordPress has the best SEO in the self-publishing market. It also has great data analytics and all the features for tagging, ranking and categorizing.
  • Because it is such a popular toolkit, there is a large base of community support. It is possible to find blogs, forums, and tutorials to answer pretty much any question.

I hope that this will be a much more permanent home for all my thoughts on startups, technology, education and anything else I feel like blogging about.