Wednesday, May 17, 2017

The growing dissonance between two business models (SaaS and VC)

In our weekly investment team call earlier this week we decided to pass on two early-stage SaaS startups that were both on track to grow from zero to $100k in MRR in their first 12 months of going live. Both companies clearly had impressive traction, but in both cases we weren’t convinced of the market size and the opportunity to build a large, sustainable company. (We of course might be wrong, and maybe we’ll have to add both companies to our growing anti-portfolio list in a couple of years. I’ll keep you posted.)

Had I seen a SaaS startup with this growth curve in my first 2-3 years of SaaS investing (in 2008-2010) I probably would have asked “where do I have to sign?”. And chances are that it would have been a good investment. The reason is that at that time, growing from zero to $100k in MRR within 12 months was extremely rare and an indication of not only a great product and excellent execution but also a great market opportunity.

One could argue that I saw much fewer deals in general at that time and that, being an angel investor, I had lower ambitions than a VC. That’s true. But it’s only part of the picture. The other part is that even as recently as 6-24 months ago, we’d consider a SaaS startup with this growth pattern exceptional. Passing on fast-growing SaaS companies that are clearly successful and on to something is a pretty new and somewhat scary experience for us.

The driver behind this development is what my colleague Clément Vouillon has described as “The Rise of Non ‘VC compatible’ SaaS Companies”, that is the fact that compared to some years ago there are now many more SaaS companies that get to $1M, $5M, maybe even $10M in ARR. Arguably, there’s never been a better time to start a SaaS company. A much larger and more educated market, combined with vastly lower costs to create software, means that your chances of building a viable SaaS company have never been higher. 

For VCs, the question is how many of these companies can become large enough to make the (admittedly somewhat weird) business model of venture capitalists work. Large VCs need multiple unicorns just to survive. In SaaS, that means companies that get to $100M in ARR and keep growing fast beyond that mark. With a ~$60M fund, we at Point Nine may not need unicorns to survive, but we won’t generate a great return if we don’t have exits north of $100M either. And as much as I agree with this post on TechCrunch today when it says that starting and selling a company for $100 million dollars is an outlier event in terms of pure entrepreneurial probability, a big part of my daily motivation is to find some of these truly iconic companies that become much larger. I guess once you’ve seen it once (in my case with Zendesk) you get addicted and want to do it again. :-)

We've come too far
To give up who we are
So let's raise the bar
And our cups to the stars


(I’m not sure if I understand the meaning of these lines in the context of the song, but I love the song and had to think of these lines while writing this post.)

Coming back to our observation regarding the rise of bootstrapped SaaS companies, assuming our theory is right, it means two things:

1) We’ll have to raise the bar even further
There will be more and more SaaS companies that, based on the “pattern recognition” that we’ve developed in the last years, we’d like to invest in but will have to pass on. We can only make 10-15 new investments per year and we’re obviously trying to find the very best ones - the outliers among the outliers, if you will.

2) Picking might become even harder
If it’s true that there are indeed more SaaS companies that quickly grow to $1-2M in ARR but that increase is not matched by a similar increase of companies that become very large, picking the right investments will become even harder. To keep up with that challenge we’ll have to constantly ask ourselves if we’re still asking the right questions when we assess a potential investment.

What does it mean for SaaS founders? First of all, as mentioned above, we might live in the best time to start a new SaaS company that ever existed. Second, founders should ask themselves what kind of company they aspire to build and should only try to raise venture capital if they are convinced that they want to build what Clément called the “VC compatible” startup (check out his post for a little checklist). As Clément said, this is not about good or bad. The VC path is not better than the bootstrapping path. In fact, for the majority of SaaS startups it’s probably not the right one.

Not yet convinced that you shouldn’t raise venture capital? :) Let us know!

Friday, May 05, 2017

Revisiting Point Nine’s tech stack. Plus: 7 little hacks that help me keep (some of my) sanity

[This post first appeared on Point Nine Land, our Medium channel.]

A few years ago I wrote about some of the tools that we’re using to run a VC fund in the Cloud. Nicolas later followed up with more details about our tech stack. Today I’d like to provide a quick update on how our SaaS stack has evolved, as well as share a couple of little tools and hacks that help me (sort of) keep (a little bit of) my sanity.

Part 1: The Basics

Zendesk continues to be our lifeblood. Since we started using Zendesk to manage our deal-flow about six years ago, we’ve logged more than 18,000 potential investments, and every month, several hundred new ones are being added. Processing so many new deals in a timely fashion is no easy feat (kudos to Savina, Louis and Robin who are doing the bulk of that work!) and wouldn’t be possible without Zendesk. Zendesk obviously hasn’t been built for this use case, but the ability to customize the software with triggers, automations, macros and other features has turned Zendesk into the perfect deal-flow management system for us.

We continue to use Basecamp to keep track of our portfolio companies — we have one dedicated Basecamp project for each portfolio company that we use internally at Point Nine to store updates and meeting notes — but have migrated to Honey and Slack for most other use cases that we previously used Basecamp for. Honey (a Point Nine portfolio company) offers a beautiful, modern intranet and is great for storing long-lived content. Slack has allowed us to heavily reduce internal email communication. I was initially sceptical about Slack (yet another inbox?) but have meanwhile become a big fan because the time we spend on Slack is more than offset by the time we save on email. In my experience, the two biggest advantages of Slack over email are (a) the ability to quickly discuss issues with a group of people in real-time and (b) organizing conversations by channel, which makes it easier to ignore (or process in batches) less urgent messages.

We continue to use Google Docs and Google Sheets for almost all documents and spreadsheets, and after some initial resistance, I think even our COO Aleks (who spent her previous life with Word and Excel), is starting to like it. :) For documents that still come in Word, Excel or PDF form, we’re (of course) using Dropbox to ensure that everybody always has the latest version.

We’re still using Skype for external calls on a daily basis, but have switched to Zoom for internal video conferences. I’m still a fan of Skype, but Zoom seems to be more reliable and to offer a slightly better audio/video quality, and offers call-in numbers for people who have to call in while on the go. The only downside is that Zoom eats up a lot of CPU, and for some reason that is completely beyond me doesn’t allow you to show a large screen-sharing window and a large video at the same time.

Our website is now powered by Contentful, and we use Unbounce for landing pages, and Typeform for all kinds of things. Speaking of dogfooding, we love it when a SaaS company uses ChartMogul as that gives us easy access to all relevant SaaS metrics; we’re using 15Five for team feedback; Mention for media monitoring; Contactually for contact management; and (more recently) Qwilr for occasional sales pitches.

Finally, we recently got started with Recruitee to manage the growing talent pool for the #P9Family. We’re using Medium as our blogging platform (although this blog still runs on Blogger, which tells you something about my age); TinyLetter for our “Content Newsletter” (subscribe here); and Buffer to schedule social media posts. Last but not least, we still use MailChimp to publish our (in)famous newsletter (sign up here if you haven’t yet).

Part 2: The little tools and hacks

1. TextExpander

TextExpander lets you insert snippets of text using shortcuts. I remember using a similar application with the same functionality on Windows 3.11 (which tells you even more about my age), when in the first couple of months after launching Acses, my main job was to write personalized emails, suggesting a link exchange, to as many website owners as possible. Since then, text expanders have become one of my favorite productivity helpers. To give you an idea of how I’m using it, here are a few examples of some of my favorite shortcuts:

Shortcut: calendly30

Text snippet:

Want to pick a time from my calendar?

https://calendly.com/XXX

Alternatively, please feel free let me know a few options that would work well on your end.

Looking forward to it!



Shortcut: iiwfy

Text snippet:

If it works for you we can use Skype, my user name is XXX. Alternatively you can reach me at XXX.

Looking forward to talking to you soon!


Shortcut: m-a-c

Text snippet:

Thank you for your interest!

You can get an editable copy of the spreadsheet by going to „File > Make a copy“.

Let me know if you have any questions.

Best regards

Christoph


I hope you won’t find it rude that if you receive an email from me, not each and every word may be carefully typed in by hand. But there are only 24 hours in the day, and if I didn’t save time this way I could answer fewer emails, which would be worse.

2. Calendly

Did you notice the calendly.com link in the first snippet above? Calendly is another favorite of mine. It’s a scheduling tool that can greatly reduce the back-and-forth emails that are so often required to schedule a meeting or call. Here’s how it works:

  • Let Calendly know your availability by connecting it with your calendar and by setting up slots for calls and meetings.
  • If you want to schedule a call or meeting with someone, send him/her your Calendly link.
  • The other person picks a time, and the event is added to your calendar (and the other person gets a calendar invite for his/her calendar).

Compared to solutions like x.ai, which try to solve the problem using AI, Calendly is a rather “dumb” tool. It won’t solve all of your scheduling issues: If, for example, you need to coordinate a meeting with a bigger group of people or if you need to take into account travel times and traffic, Calendly won’t do the job. But my experience is that it works perfectly well for 90% of my Skype/phone calls, so I can highly recommend it.

Initially I was worried if the UX for the person you’re scheduling with was good enough or if people don’t want to click on a link in an email in order to schedule a meeting with me. However, I’ve gotten only good feedback so far, and just in case, I always include the “Alternatively, please feel free to let me know a few options … “ note when I send around the Calendly URL. Another great solution is MixMax’ “instant scheduling” feature, which arguably offers an even better experience for the person on the receiving end.

3. 1Password

1Password is one of those apps that, once you’ve used it for a little while, makes you wonder how you ever survived without it. If you’re not using a password manager, chances are that:

  • you use the same passwords everywhere (pretty risky — if one site gets hacked, the hacker gets access to all your online accounts); or
  • you keep a list of all your passwords (not much safer and not very convenient); or
  • you try to memorize a lot of different passwords (which probably means you’re resetting passwords all the time)

1Password creates a unique and safe password for each of your online accounts and takes care of the synchronization across all your devices. You only have to memorize one master password in order to unlock your password vault. Just make sure you don’t lose that password!

4. My email signature

Some time ago I made a slightly weird self-observation: I noticed that when I checked my email on my iPhone while I was traveling and e.g. sitting in a cab, I’d often be faster to reply to emails than when I was sitting at my desk. You’d expect the opposite, because typing on a real keyword is obviously much more convenient and much faster. The reason for this behavior is that the “Sent from my iPhone” signature gave me the excuse for writing very brief replies, whereas when I was at my desk I felt obliged to write longer, more well-written answers — which often led to procrastination. When I noticed this behavior I changed my desktop email signature to this:


Christoph Janz | www.pointninecap.com | Christoph Janz
Not sent from my iPhone. Please excuse brevity nonetheless.

I can’t claim that this little hack made me a great emailer. I never achieve inbox zero and regularly have to declare email bankruptcy. But it definitely helped to get somewhat better.


5. Typeform => Zapier => Zendesk

About 18 months ago we replaced the “submit” email address on our website by a Typeform. The Typeform lets founders upload a pitch deck and allows us to collect a few bits of information such as the startup’s sector, launch date and funding ask. You can check out the pitch submission Typeform here. We use Zapier to push the data from Typeform to our Zendesk. If you submit the Typeform, here’s what we see:



The impact of this seemingly small hack, which simply ensures that we get all of the information that we need for our initial assessment at a glance , turned out to be staggering. Previously we often felt like we were drowning in incoming inquiries and would often accumulate a large backlog of submissions; thanks to the improved process, we’re usually able to get back to founders within 1–2 weeks.

When we were considering removing the “submit” email address and replacing it by a Typeform, we weren’t sure how people would react. We were somewhat worried that asking founders to complete a form could look unfriendly or unapproachable and were wondering if we’d increase the barrier to submit a pitch too much. Fortunately, we got lots of positive feedback, not least because Typeforms look and feel less like boring web forms and more like a conversational interface. Also, our impression is that the submissions that we’re no longer getting are mostly the ones that we’re happy to miss (like random mass emails about projects that are completely out of our areas of interest).


6. SizeUp

SizeUp is a Mac app that allows you to quickly resize and position windows with keyboard shortcuts. It’s a simple app, but another one of these handy little tools that I don’t want to miss. I frequently want to see two windows on my screen side-by-side, and with SizeUp it just takes one hotkey to move and resize a window to the left or right half of the screen. Occasionally I want to see more than two windows at once. In that case there’s another set of hotkeys that allows me to arrange the screen into four quadrants. Apple added a “Split View” feature to OS X two years ago or so, but I still prefer SizeUp for its extra features and customizability.

7. SaneBox

SaneBox was highly recommended to me by Pawel, who’s been swearing by the product’s ability to help him keep his sanity for some years already. After using SaneBox for a little while it has become an essential part of my tool stack as well. SaneBox comes with a whole bunch of features, but for me the key feature is that it moves all emails that don’t look important into a couple of special folders such as “Social”, “News” and “SaneLater”, leaving only a much smaller amount of emails in my main inbox. This way you can check out newsletters, social network notifications and everything else that SaneBox’s algorithm determines to be unimportant in batches, which saves you lots of interruptions.

I also use SaneBox’s ability to detect emails from people, who I haven’t communicated with before, to send them this auto-responder:

Hi there,

This is an automated reply to thank you for your message. You’re receiving it because my AI-based assistant thinks that we don’t know each other well yet. :)

I’m trying to read and answer all emails in a timely manner, but due to the large volume of emails that I’m getting it doesn’t always work. If you don’t get a personal email soon I apologize in advance.

In the meantime …

* If you’d like to submit a pitch, please use this Typeform:

https://pointninecap.typeform.com/to/gZKJUl?referrer=christoph

* To get a copy of one of the Google spreadsheets that I’ve published on my blog, you can get an editable copy of any spreadsheet by going to „File > Make a copy“.

* If you’re interested in working for one of our amazing portfolio companies, please reach out to jenny@pointninecap.com.

* For other inquiries, please email us at info@pointninecap.com.

* If you’re a SaaS company and you want to get your metrics right, check out ChartMogul (www.chartmogul.com)

* I unfortunately don’t have the time to answer individual questions in regards to financial planning. Sorry.

Best regards

Christoph


Christoph Janz
www: pointninecap.com | Blog: www.theangelvc.net | Twitter: @chrija



I still take a look at all of these emails and try to reply to most of them, but it’s not always possible (and also not always necessary) and in these cases I think this auto-reply is better than no reply at all. What’s great about this setup (which uses SaneBox and Zapier) is that none of my regular contacts get this auto-responder. Once I’ve sent you an email, SaneBox classifies you as “important” and removes you from the “SaneLater” label.

This is by no means an exhaustive list of all the tools and little hacks that we’re using at Point Nine, but I hope you found some of them useful.

What are your favorite productivity hacks?

Sunday, April 02, 2017

Why startups should hire an HR person sooner rather than later

At the excellent SaaStr Annual 2016 conference about a year ago, a very experienced SaaS CEO said on stage that an internal recruiter can be a startup CEO’s secret superpower. I couldn’t agree more, and I think startups should make that hire sooner rather than later.

If you can hire only one or two handful of people with your seed round, hiring anybody who doesn’t either code or sell is hard to justify. Being willing to invest in an internal recruiter or talent manager (or more broadly, an HR person) early on requires pretty big balls a lot of confidence. The right time for making that hire obviously depends on a variety of factors, but I would argue that most startups should hire an HR person sooner than they think.

Here’s why.

1) A great HR person can free up a lot of your time

Anybody who ever hired people knows that it’s extremely time-consuming. Let’s say you want to hire 10 people in the next 12 months. That means that you’ll have to:

  • screen around 500-1000 CVs
  • interview around 100 people
  • do 2nd and 3rd interviews with around 20-50 people
  • do a few dozen reference calls
  • negotiate compensation and an employment contract with 10 people

The numbers can obviously vary greatly, but you get the idea. It’s a lot of work, and if you have only developers and sales/marketing people in your company you’ll have to do the bulk of it yourself. An HR person can take over a significant chunk of that work for you.

2) A great HR person can help you make better hires

An experienced HR person will help you get more candidates, better candidates, and will help you get better at picking the right ones. As a result, he or she will increase the quality of your hires – which is obviously hugely valuable – and reduce the number of costly mis-hires. A great HR person will also help you to build a network of high-quality candidates early on – people who might not be a fit at the current stage but could become a great fit at a later stage.

3) A great HR person will run the process and help you build an employer brand

A great HR person will not only make sure that you have a great shot at hiring your favorite candidates, he or she will also run the entire hiring process for you and will ensure that you leave a great impression with the many candidates that you will not hire – which is important for your reputation. He or she will also help you to start building an employer brand and to become known as a great place to work.

4) A great HR person will save you money

Having an inhouse recruiter lets you save on fees for external recruiters. Since external recruiters usually charge 25-33% of the candidate’s annual salary for a successful placement, it’s well possible that your internal HR person will pay for him or herself by reducing the need to work with external search firms.

5) A great HR person will make your employees more effective

Guess what, adding 10 new people to your team not only means 100s of interviews, it also means setting up payroll for 10 people, onboarding 10 people, providing continuous training and support to 10 more people, and much more. All of this costs a lot of time which you probably don’t have. An internal HR person can greatly help you to take much better care of your team, thereby making your employees both happier and more productive.

Because of all of these factors, an HR person is one of the highest-leverage hires that you can make. Nevertheless, unless you’ve raised a lot of capital, bringing on an HR person instead of, say, another engineer, is still a difficult trade-off. So when is the right time? I don’t have a scientific answer, but I’d say that by the time you plan to hire 10 people in the next 12 months you should hire an HR person. This point in time will usually coincide with having found a decent level of Product/Market Fit and having raised a larger seed round.

As another rule of thumb, your HR person should probably come in somewhere between employee #10 and #20 at the latest. As an example, Front hired an internal recruiter as employee #19 – and it sounds like it was not a minute too soon!

Thanks to Jenny – our very own HR lady! - for reviewing an earlier version of this post and providing valuable feedback.

Wednesday, February 15, 2017

5 ways, 100 million dollars, 100 free posters

I'm a big fan of placeit.net ;)
If you're a reader of this blog, chances are that you've already come across my post about "five ways to build a $100 million business". Given that the post (and the infographic that we created recently) has for some reason resonated so well with lots of people, we thought it would be cool to turn the concept into a beautiful poster that you can put on the wall. The idea is that (besides being decorative), the poster can serve as a little cheatsheet to remind people of some important aspects of building a large business.

Below is the result that we created together with an excellent illustrator from Barcelona, Denise Turu. I hope you like it!

If you're interested in getting a physical copy of the poster please complete this short Typeform. The first 100 people will get a FREE poster. Afterwards we'll probably give it away for a nominal amount (to cover printing and shipping costs).

[Update: The 100 free posters sold out quickly but you can order the poster here.]

Click for larger version








Monday, January 16, 2017

Impressions from the 5th annual PNC SaaS Founder Meetup (AKA PNC SaaS Camp)

We have a tradition here at Point Nine that once a year, we organize a meetup for the founders of our SaaS portfolio companies. The first meetup took place in SF back in 2012 and gave the founders in our (at that time still rather small) portfolio a unique opportunity to learn about what works and what doesn't work in SaaS, compare notes and share war stories.

About two months ago, the 5th annual PNC SaaS Founder Meetup took place in a small lake town a little bit outside of Berlin. To celebrate the 5th anniversary, we turned the meetup into a 48-hour long "camp" and invited about 150 founders and key people from our SaaS portfolio companies, along with a handful of external SaaS experts, to a nice resort close to Potsdam.

Here's a short video that we recorded at the meetup:


Spending two full days and two full nights together not only allowed us to put together an amazing agenda with more than 60 presentations and workshops; it also led to countless great conversations, connections, and friendships. We're truly thankful to all the amazing speakers and attendees who made this possible.




Tuesday, January 10, 2017

SaaS Funding Napkin, the 2017 edition

Today is January 10, 2017. That means that in ten days, this jerk will become the leader of the free world. Ugh. It still feels surreal to me. In less earth shattering news, the fact that it's 2017 also means that my "SaaS Funding in 2016" napkin needs an update.

As a reminder, in the original post I tried to give a "back of a napkin" answer to this question: What does it take to raise capital, in SaaS, in 2016? Today I'd like to take a stab at the (early) 2017 answer to that question.

Like in the 2016 version, the assumption is that the founding team is relatively "unproven". Founders with significant previous exits can raise large seed rounds at high valuations early on, so the "rules" are different for them. On another note, when I say "what does it take to raise capital" I mean "what does it take to have an easy time raising capital from great investors". If your company doesn't meet the (very high) bar pictured on the napkin it doesn't mean that you won't be able to raise money at all. It just means that it probably won't be easy, that you will likely have to talk to a large number of investors and that you may not be able to raise from a well-known firm.

So, what does it take to raise capital, in SaaS, in early 2017? I don't think a huge amount has changed since I created the first version of the napkin about nine months ago, but here are a few observations:

1) The bar keeps getting higher and higher

I already wrote about the rising table stakes in SaaS two years ago, and since then the bar has kept increasing. The SaaS companies included in Tomasz Tunguz' benchmarking analysis of exceptional Series A companies grew on average from $10k to more than $90k in MRR in their first year of commercialization and then to over $400k of ending MRR in their second:



Twilio, Workday, and Zendesk have shown that the best SaaS companies can get to $100M in ARR in 6-7 years and continue to grow at around 50-70% year-over-year after hitting that milestone. Slack, unbelievably, reached $100M in ARR just 2.5 years after launch. Slack is an outlier even among the outliers, but getting to $100M in about seven years and hitting $300M 2-3 years later is the type growth which the best investors in the Valley are looking for in 2017.

I didn't have to make a lot of changes to the napkin to reflect this since the growth rates that I had put into the 2016 version were already in line with the "T2D3 path". I've increased the Series B amount, valuation and MRR range, though, and because the expectations of later-stage investors trickle down to the earlier stages I've changed the ARR potential number in the "Seed" column from "$100M+ ARR" to "$100-300M+ ARR".

2) Being a workflow tool is no longer enough

Investors are increasingly questioning if you can build a large and long-term sustainable SaaS business by being primarily a workflow tool. The thinking is that every successful software product will eventually be commoditized because it attracts lots of people who will copy the product and offer it for a lower price. That concern isn't new, of course, but given how crowded most SaaS categories have become by now, investors are increasingly looking for additional ways to build moat around a business.

So if you want to raise capital for your SaaS startup in 2017, investors will wonder if you can become a true system of record, build a real platform/ecosystem/marketplace or build a unique data asset over time. The latter option will get particular attention this year, so I highlighted that in the "Defensibility" row of the napkin. The ability to gather large amounts of data from the entire user base, and use that data along with AI/ML to make your software smarter, is one of the big themes at the moment. For what it's worth, I know AI and Machine Learning are a hyped topic but I think the hype is justified.

You might think that some of the things that I've written here – getting to $100M ARR within a few years, thinking about $300M ARR at the seed stage – are just crazy. I won't argue with that. The vast majority of SaaS companies will never get to this level of growth or scale, and yet they can be successful and profitable companies that generate life-changing wealth for the founders and great returns for early investors. VCs need outliers to make their business model work, but that's not your problem. If you think you don't have strong potential to become one of these crazy outliers, maybe VC isn't right for you.

OK. Enough words. Here's the 2017 SaaS Funding Napkin!

(click here for a larger version)





Wednesday, December 28, 2016

What we're looking for in SaaS in 2017

As the year is coming to an end I’d like to share a few thoughts on what we’ll be looking for in the SaaS world in 2017. This is not meant to be an exhaustive enumeration but rather a brief outline of a few big themes that I feel particularly strongly about.

1) Viral growth and/or negative churn

In the last couple of years I’ve come to the opinion that in order to build a SaaS unicorn you need to have either (a) a highly viral customer acquisition engine or (b) significant negative net churn (that is, a dollar retention rate significantly above 100%). The rationale behind this statement, which might seem odd at first sight, is actually simple math. If you don’t have negative net churn you’re losing an increasing amount of MRR every month to churn, simply because your churn rate is applied to an ever-increasing base. That means that as long as you have positive net churn, you’ll have to add an increasing amount of new MRR from new customers every month just to offset churn. As you’re getting bigger and bigger it will become extremely difficult to maintain a high growth rate if you have to replace an ever-increasing amount of churn – unless you have an inherently viral product.

At a somewhat theoretical level, what I’m saying is that since net churn MRR grows as a function of your MRR base, you better have a mechanism that lets you add new MRR as a function of your existing base as well. I know this is a somewhat simplified way of looking at it and I’m sure there are a few exceptions to this rule, but I’m convinced that almost all SaaS startups that want to become big should strive for viral growth, negative churn, or both.

Related posts (from this blog):

2) Obsessive focus on user experience

Companies like Slack or Zendesk have shown that a superior user experience can provide a decisive competitive advantage and can become a critical success factor for SaaS businesses. Pundits might object that you don’t win enterprise customers by having a prettier interface. I think that’s shortsighted for at least two reasons.

First, user experience is not only about making the UI more beautiful. As legendary UX expert Jakob Nielsen defines it, “user experience encompasses all aspects of the end user's interaction with a company, its services and its products”. An excellent user experience requires an elegant product that meets the needs of the customer and is a joy to use, but it goes beyond that. The design of your marketing website, the tone of voice of your marketing emails, interactions with customer service – all of this is part of the experience that you offer.

Second, today more and more buying decisions are made by the actual users of the software (e.g. someone in marketing looking for a marketing automation solution) as opposed to the IT department. When the buyer is also the user, usability becomes one of the key decision criteria.

This decentralization of software buying, which has led to the consumerization of enterprise software both from a product as well as a go-to-market perspective, is maybe the most important driver of change in the software industry that we’ve seen in the last 5-10 years. But it’s far from over. Millennials arguably have even less tolerance for slow, bloated, ugly enterprise software. If you grew up with UBER and Spotify, if you’ve never ordered a cab by phone and never went to a store to order a CD, chances are you expect your work software to work flawlessly as well. :-) As millennials continue to rise up the ranks, a focus on great design and a delightful user experience will become even more important for software companies.

Two of our most successful SaaS investments to date, Zendesk and Typeform, owe a large part of their success to what I like to call a “10x” improvement in user experience over the status quo. It will be extremely interesting to see which companies can accomplish a similar quantum leap in 2017 and how it will look like. Will it be a SaaS solution with voice as the primary form of input? A mobile-first SaaS app that truly leverages the smartphone’s camera, sensors and other applications to provide a 10x better user experience? Or a software with a conversational interface, powered by a bot? I don’t have the answer, but I’m pretty sure that new ways to input data – methods that are more natural than dropdown menus or smartphone keyboards – will be a part of it.

Further reading:

3) Smarter software and more automation

Up until recently, the main job of software was to make people more efficient by digitizing paper-based processes, doing calculations and enabling more efficient communication inside and between companies. This has led to huge efficiency gains, and I honestly have no idea how companies used to be operated without computers until 40-50 years ago.

And yet, the biggest disruption is still ahead of us. I am, of course, talking about artificial intelligence (AI). How long it will take until AI will reach human intelligence – or if that’s never going to happen – is an extremely interesting topic that goes far beyond the scope of this post (and of course one that I’m not an expert in). It’s safe to assume, though, that software is getting better and better at more and more tasks which were previously thought to be impossible for computers to learn. Watson’s victory against two “Jeopardy” champions a few years ago and AlphaGo’s win against one of the best Go players are two legendary examples, but there are lots of other, less publicized cases, of computers winning against humans.

If close to 50% of jobs will be done by computers in the not too distant future, as an Oxford University study suggests, this will of course have unprecedented consequences for our society. How those consequences will look like, and if the net impact will be positive or negative for most people, is another extremely interesting topic that I’m not going to delve into here. What’s clear is that this disruptive force will create enormous opportunities for SaaS companies.

With today’s software it can sometimes be hard for a SaaS startup to prove the ROI of its product to prospective customers. Putting a dollar sign on the efficiency gains that a customer can realize by using your software can be difficult, and your product may provide lots of pretty intangible benefits that are hard to quantify. Now imagine that your SaaS solution allows your customers to get work done with significantly less people or maybe no people at all. In that case, the ROI will be pretty obvious.

What if future versions of sales automation software will not make your sales force more efficient but become your sales force? I can’t imagine how bots could take over sales calls … or wine and dine with a client. :) But think about jobs like web-based prospecting, lead qualification or email campaigns and the idea starts to sound a lot less far-fetched.

Although we developed a strong interest in AI in the last few years we have not yet seen a large number of “AI startups” that we fell in love with (one notable exception is our portfolio company Candis, which is automating accounting work). This could be because the industry is still at a nascent stage or because it’s still early days for us in terms of learning and developing an investment thesis around AI, or both. In any case, we’re excited to spend more time on this topic in the coming year!

Further reading:




Wednesday, November 23, 2016

3 (free) tools to help SaaS founders with their 2017 planning

(As you can see, I really like placeit.net :) )
In case you haven't started to think about your plan for 2017 yet, now's the time. To help you a little bit with your planning, here are three little tools that you might find useful. If you're a long-time reader of this blog, you may have seen them before.

1. Growth Calculator

This little tool allows you to enter your MRR as of the end of 2016 and a target growth factor for 2017. It then calculates your MRR target for the end of 2017 and shows you three different growth paths that lead to that goal. One is based on linear growth, one on exponential growth and the third one shows a trajectory between the linear and the exponential path.


Please note that although this Google Sheet may look a bit like a financial plan, it's not meant to be your plan. :) To create a credible and realistic plan, you need to have a "bottom-up" projection of your growth drivers (e.g. your conversion funnel, distribution channels and sales team quotas).  What this little calculator can do is quickly give you a sense for how much MRR you have to add each month in 2017 in order to reach your growth targets, so you can use it to play around with different scenarios and assumptions.

2. Sales Team Hiring Plan

This tool helps you find out how many sales people you need to hire in 2017 based on your growth targets and other import inputs such as your MRR churn rate,  your sales team's quota, ramp-up times, etc.


The model is based on an exponential growth path (i.e. #2 from the Growth Calculator above), i.e. it works with a constant m/m growth rate, which you can set in cell D11 and D12 for 2017 and 2018, respectively. You can easily adjust this to a different growth path by changing row 22 accordingly.

One of the things which the model doesn't take into account is employee turnover. In sales teams, employee churn can be significant, both because not every sales person that you hire will work out and because the average tenure of an AE might be only, say, two years. When I tried to add this to the model it became too complex for what I think should stay a pretty simple template. I might give it another go later. In the meantime, I'd recommend that when you build your own hiring plan, assume that if you need x AEs you'll have to hire n*x AEs, and that n is probably something between 1.1 and 2, depending on how good you are at hiring salespeople.

3. Financial Plan

This template helps you create a full financial plan that includes everything from revenue modeling to costs projections and headcount planning. If you look at it for the first time, it might look a little terrifying. I did try to keep it as simple as possible, but if you prefer a simpler version I also have an older, less sophisticated alternative.


I hope you find some of this useful. Happy planning!

Monday, September 19, 2016

Should you take small checks from deep pockets?

So you’ve recently started a company, you’ve started to talk to angel investors and seed funds about your seed round, and suddenly a large VC appears on the scene and wants to invest. What should you do?

First of all, congrats. If a large fund wants to invest in your startup, that’s a great validation. Second, if you can get the brand, credibility, network and support of a Tier 1 VC into your startup early on, that can be extremely beneficial. So you should definitely consider it. It’s a complicated question, though, and you have to carefully consider the pros as well as the cons.

In this post I’ll try to shed some light on this question. As a disclosure and caveat, being a seed VC I’m not a disinterested observer, since we occasionally compete with bigger funds on seed deals. I’ll try to be as unbiased as possible, and if you disagree with my views you’re more than welcome to chime in, e.g. in the comments section.

Further below is a simple matrix that might be helpful to founders as they consider having a large fund participate in their seed round. But first, in case you’re not familiar with the issue, here’s a quick primer. If you know what the “signaling risk” debate is about, you can skip the next fext few paragraphs.

Some years ago, many large VCs – $200-400M+ funds that typically invest anything from $5M to $20M or more in Series A/B/C rounds – started to make seed investments, placing a sometimes large number of oftentimes tiny bets in very early-stage companies. The intention behind these investments is not to make a great return on these initial bets. Consider a $400M fund that invests, say, $250k in a startup. Even if that investment yields a rare and spectacular 100x return, it means only $25M in exit proceeds for the fund. That’s a lot of money for you and me, but not a lot of money for a $400M fund that needs around $1.2-1.5B of exit proceeds to deliver a good return to its LPs. If a large fund writes a tiny check (i.e. tiny relative to the size of the fund), there’s almost zero chance that the investment will move the needle for the fund.

So what is the intention behind these investments? The answer is access to Series A rounds. The idea is that one invests, say, $250k in 50 companies, watch them carefully and then try to lead (and maybe pre-empt) the Series A rounds of the ones that do best. Even if most of these seed bets don’t work out – as long as the VC gained access to a handful of great Series A deals, it’s money well spent. At least superficially it makes a lot of sense for large VCs to employ such a strategy. Whether it’s also a good strategy in the long run, or if it leads to brand dilution and eventually adverse selection, is a different question and beyond the scope of this post.

For entrepreneurs, more VCs investing into seed rounds means easier access to capital. And as mentioned before, founders who raise a seed round from a large VC also get the benefit of getting a brand name VC on board early on and potentially they can tap into the firm’s support network. So far, so good - sounds like a win/win.

The downside of taking a small check from a large investor is what’s called “signaling risk”. What this refers to is the situation that arises when you want to raise your Series A round and your VC doesn’t want to lead. In that case, any outside investor who you’re talking to will wonder why your existing investor – who as an insider has or could have a great understanding of the business – doesn’t want to invest. Everybody in the market knows that if a large VC invests small amounts the purpose is optionality, so if the VC then doesn’t try to seize the option, people will wonder why.

There might be good reasons why your VC doesn’t want to invest despite the fact that your company is doing well, and you might still be able to convince other investors to take the lead. But as you can imagine, it won’t be easy: Investors see large numbers of potential investments and have to decide quickly and based on incomplete information which ones they take a closer look at. That’s why they are highly receptive to any kind of signal. If they hear that the large VC who did the seed round doesn’t want to do the Series A, they might not even want to take the time to dig in deeper and might pass right away. As Chris Dixon wrote in a post some years ago, “If Sequoia gave you seed money before but now doesn’t want to follow on, you’re probably dead.”

Long story short, raising a seed round from a large VC has clear upside but also big risks. How should founders decide?

Let’s look at the data. CBInsights has some very interesting data which shows that statistically, startups that raised a seed round from a large VC have a higher chance of raising a Series A later on. What the data doesn’t tell us is whether that is (A) because these startups benefitted from having a large VC on board early on or (B) because they were better companies than the average seed startup in the first place. Since the analysis was based on ca. twenty Tier 1 VCs – Benchmark, Sequoia, Union Square etc. – I believe there’s no question that the subset of startups that received seed funding from one of these firms is of much higher quality than the overall average. These firms all have massive deal-flow and are the best firms in the industry. They know how to pick well. I’m sure both (A) and (B) play a role, but since we don’t know the relative impact of the two factors, the statistics don’t answer the question.

Another, maybe more helpful way of looking at it is this:

1) Does the VC act with conviction or does he/she just want a cheap option, as Fred Destin put it.

2) How confident are you that you’ll have strong traction by the time you want to raise your Series A?

Putting these two factors together gives you a simple matrix:



Here’s how to read the matrix:
 
  • Top left: If the level of conviction of BigVC (at the time of the seed investment) is high and your traction (by the time you want to raise your next round) is extremely poor, there’s a chance that BigVC will put in some more money (to give you a chance to figure it out, turn things around, pivot,...). It’s not very likely, but since it’s easier for a large VC than for small investors to finance your company for another six months or so, having a large VC on board might be advantageous if you end up in this cell of the matrix. Based on this logic, my verdict for this scenario is slightly positive (that is, if you expect to end up in this cell, take money from BigVC).
  • Bottom left:  If the level of conviction of BigVC is low and your traction is extremely poor, BigVC will most likely not give you more money and probably nobody else wants to invest neither. In this case, the fact that you’ve raised money from a large VC probably doesn’t matter, but it further reduces the chances of raising from other investors. My verdict: Slightly negative.
  • Top middle: In the high-conviction / OK-ish traction scenario there’s a decent chance that BigVC will finance the company through a few iterations or pivots, something that is harder to do without a big investor on board. On the flip side, if BigVC does not invest in this scenario, that will create a very bad signal (as explained above) and greatly reduce your chances to raise from other investors. My verdict: Hard to predict, it can go both ways, so let’s say neutral.
  • Bottom middle: If BigVC invested with little conviction and your traction is OK but not great, it’s very likely that BigVC will not invest further. This is extremely problematic as it creates a bad signal (as explained above) and greatly reduces your chances to raise from other investors. My verdict: Strongly negative.
  • Top right and bottom right: If you have excellent traction, everything else doesn’t matter that much. If BigVC wants to lead or pre-empt your round, you might save a lot of time (but you might not get the best valuation). If BigVC doesn’t want to invest for some reason, you’ll find other investors, but it will be harder. My verdict: Slightly positive for high-conviction, slightly negative for low-conviction.

If you’ve read until here and you’re more confused than when you started to read, here’s the take-away of the analysis:

If the big VC who wants to invest in your seed round acts with little conviction, i.e. he/she really just wants a cheap option, you’re better off saying no regardless of what kind of traction you expect to have by the time you raise the next round. There’s very little upside but very strong downside. So if you have the opportunity to raise a small amount from a large VC and you know that the fund places dozens or maybe even hundreds of these bets, my advice is to say no.

If the big VC acts with strong conviction, there’s strong upside but also significant risk. In this case I don’t have a general advice, and the right decision depends on the level of conviction of the VC and on the value-add that he/she delivers. There are a few things you can do to to find out more about the strategy and value-add of the investor. First, ask the investor how many seed deals the firm has done in the last years and in how many of these cases they led or strongly participated in the A-round. Second, talk to a number of founders who have received a seed investment from the firm and ask them how it's like to work with the firm. Keep in mind that however you decide, it's an extremely important and irreversible decision - so think through it carefully and do your due diligence.




Saturday, July 16, 2016

From "A as in Amiga" to "Z as in Zendesk"

In the last few weeks I participated in a few interviews/discussions to talk about SaaS, entrepreneurship, venture capital and related topics that are near and dear to my heart. If you're interested in me rambling about some of my earliest entrepreneurial adventures (hint: C64, Amiga,...) and how I found Zendesk (hint: luck), and if you don't mind listening to a heavy German accent and lots of "UMs" and "HMMs", here you go. :-)

1. The Twenty Minute VC
Listen to the podcast on ProductHunt, in iTunes or download the MP3.

2. "Managing your startup with data" at B2B Rocks in Paris




3. Interview with Seedcamp's Carlos Espinal 



Thanks to Harry, Carlos and Alexander for inviting me!

Sunday, June 26, 2016

A better way to visualize pipeline development? (WIP)

When founders show me their sales pipeline, the data is typically visualized in some variations of one of these formats:






When I see charts like this, I often find it hard to quickly wrap my head around the data and draw meaningful conclusions. Sometimes, important numbers are missing altogether. In other cases, they are there but are shown on another page or in another report.

I then find myself wonder about questions such as:

  • The pipeline is growing nicely, but how much are they actually closing?
  • How long does it take them to move leads through the funnel?
  • Are they purging their pipeline or are they accumulating a lot of "dead" pipeline value?

With this in mind I tried to come up with a new way for high-level pipeline development visualization, one that makes it easier to quickly get to the key take-aways. If you're interested in the (preliminary) result only, check out this mockup. If you'd like to learn more about my thought process and some additional details, read on.

The key problem that I have with the standard ways of looking at pipeline development is that it's hard to follow how deals move through the funnel. I've always thought that pipeline development charts should work a bit more like a cohort analysis that allows you to follow a customer cohort's development over time, and so I mocked up this:



The "pipes" give you a better understanding of what happened to the leads in a certain stage and month. For example, you can see that of the $1.6M that was in "prospect" stage in January:

  • $750k (47%) stayed in "prospect" stage
  • $500k (31%) were moved to the next stage ("demo/trial")
  • $350k (22%) were lost/purged

The next step was to add a few additional months to the mockup:



This unfortunately made things a little messy, and people will probably feel overwhelmed by the amount of numbers. One solution, if someone decides to build a little application like a Salesforce.com add-on, could be to hide all of the pipe numbers by default and show them on-hover (maybe with an option to show them all at once):



What's still missing are some aggregated key metrics ...



... and a better way to quickly grasp how these numbers have changed month over month:



Here's one mockup with all three elements on it:



What you can quickly see in this example is that this imaginary startup is adding an increasing dollar amount of prospects to the pipeline and keeps closing deals, but the rate at which it moves leads to the bottom of the funnel is declining. At the same time, the percentage of lost deals has been growing slowly, while the percentage of deals that remained in the same stage has increased sharply, indicating an increase in sales cycle and/or a poor job of pipeline purging. This has already led to a shrinking bottom-of-the-funnel pipeline, and if the company can't figure out and fix the cause of that development, it will soon close less and less deals.

All of this is something that you can immediately see by looking at these charts and numbers and which I think is usually harder to see by looking at traditional pipeline charts. What do you think? Looking forward to your comments!






















Friday, June 03, 2016

SaaS Funding Napkin, the mobile-friendly edition

My "SaaS Funding Napkin", published a few days ago, got lots of love on Facebook, Twitter, etc. Thanks everybody! Some people (rightfully) mentioned, though, that the image is hard to read on mobile devices. So if a napkin has a good format for a desktop or laptop screen, which real-world-analogy could be a fit for mobile screens?

You guessed right.

Here you go (please scroll down or click here).


Tuesday, May 31, 2016

What does it take to raise capital, in SaaS, in 2016?

When we invest in a SaaS startup, which almost always happens at the seed stage, the next big milestone on the company’s roadmap is usually a Series A. If you carry this thought further and assume that the biggest goal after the Series A is to get to the Series B (and so on, you get the idea) it sounds like turtles all the way down. But financing rounds are obviously not a goal in itself. They are a means to a bigger goal. Some SaaS companies got big without raising a lot of capital – Atlassian, Basecamp and Veeva are probably the most famous examples. But they are exceptions, not the rule. According to this analysis of Tomasz Tunguz, the median SaaS company raises $88M before IPO.

So what does it take to raise money for a SaaS company in 2016? With constantly rising table stakes and a fundraising environment that looks quite a bit less favorable than last year’s, I believe the bar is higher than in the last 18-24 months (although raising money is still much easier than it was in “Silicon Valley’s nuclear winter” in 2008).

Below is my back of a (slightly bigger) napkin answer to this question.

A few important notes:

  • The assumption of the information in the table is that the founding team is relatively “unproven”. Founding teams with previous large exits under their belts can raise large seed rounds at very high valuations on the back of their track records and a Powerpoint Keynote presentation.
  • Some of the information is tailored to enterprise-y SaaS companies. If you have a viral product (like Typeform or infogram), some of the “rules” don’t apply.
  • If you have virality and a proven founder team, you’re Slack and no rules whatsoever apply. :)


(click here for a larger version)

PS: Thanks to Jason M. LemkinTomasz Tunguz, Nicolas Wittenborn and my colleagues at Point Nine for reviewing a draft of this post!

[Update 1: Here's a mobile-friendly version of the napkin.]

[Update 2: And here is a Google Sheet version for better readability. :) ]



Monday, April 11, 2016

Introducing the French Cloudscape

For some reason we keep finding great early-stage SaaS startups in France, and it's not because of my command of the French language. In the last few years we've invested in four awesome SaaS companies from France: Algolia, Front, Mention and Critizr. We recently did #5, which hasn't been announced yet, and are in advanced talks with a potential #6. Besides our SaaS investments, we're also proud investors in StarOfService, an online marketplace to hire a wide range of professionals. Something is clearly going on in France, and we like it.

Our good connection to the French startup ecosystem was one of the reasons why we picked France as the first country for our "European SaaS Landscape" project. Another reason was that Clément not only speaks French, he IS French, and knows the market very well.

Without further ado, here it is: an industry map of the most important SaaS startups founded in France.



To learn more about our methodology and some of the insights we got while doing the research, check out Clément's post on Medium. If you have any questions, comments or suggestions, give us a shout!




Wednesday, April 06, 2016

Truffle pig reloaded – Point Nine is looking for an Associate

About three years ago, we were looking for an Associate to join Point Nine and put up this landing page:




We called the position "truffle pig", because just like a truffle pig is digging up the best truffles from the ground, we as an early-stage VC try to find the best startups among a large number of potential investments. I have to give full credit for the truffle pig analogy to Mathias Schilling and Thomas Gieselmann of e.ventures, by the way. "Truffle pigs" is what they (young VC Associates at that time) called themselves when they approached my co-founder and me back in 1997 after having stumbled on this website. Fast-forward almost 20 years and we still haven't found a better way to describe the role. :)

Anyway, our search three years ago led to two fantastic truffle pigs, Rodrigo and Mathias, both of whom got promoted to Principals at Point Nine in the meantime. And today we're excited to kick-off the search for a new Associate. Here are all the details.

This is an incredible opportunity for a young, super-smart, super-driven person with outstanding analytical skills and a solid user interface. I'm pretty sure that it took me more than 10 years to get the expertise and network which you'll get during three years in this job. 

If you're interested, please take a look at our job ad. If you know somebody who could be great fit, please pass on the link. Thanks!


Tuesday, March 29, 2016

SaaS Financial Plan 2.0 - bug fixes

Since I published v2 of my SaaS Financial Plan a few days ago, two alert readers have kindly pointed out two formula errors in the Excel sheet. Sorry about that.

Here's a corrected version. The Excel sheet that was linked from the original post has been corrected as well.

In case you've started to modify the template already and want to keep working with the previous version, here are the two bugs that you need to correct:

1) Cell U124 on the Costs tab, i.e. the costs for external recruiters in December 2016, contained:

=(W87-U87)*$E$124+X96

The +X96 part has been added accidentally and needs to be removed. So the correct version is:

=(W87-U87)*$E$124

2) Row 55 on the Revenues tab, i.e. the CACs for the Pro plan, is completely wrong. It should be, for column I (with the other columns following analogously):

=0,5*(Costs!J62+Costs!J96+Costs!J104+Costs!J112+Costs!J122)/I49

Once again, apologies for the inconvenience. If I or somebody else finds any other bugs, I will fix them ASAP and update the change log here.

PS: Before you ask – yes, I'm aware that it's ironic that I have to post an on-premise software style bug patch to a SaaS financial planning template. Ironic in an Alanis Morissette kind of way, that is, because "ironic" actually means something completely different. Google it if you don't believe me.

[Update  06/30/2016: I've fixed two further small issues that were reported by two kind readers in the comments below.]

Wednesday, March 23, 2016

SaaS Financial Plan 2.0

Almost exactly four years ago I published a financial plan template for SaaS startups based on a model that I had created for Zendesk a few years earlier. I received a lot of great feedback on the template and the original post remains one of the most viewed posts on this blog up to this day.

In the last few weeks I've finally found some time to create a "v2" of the template ... just in time for a little Easter gift to the SaaS community. ;-) I'd recommend that you read this post first since it includes some important notes, but if you prefer to check out the template right away click here to download the Excel sheet.

The original v1 model was a very simple plan for early-stage SaaS startups with a low-touch sales model. As I wrote in the original post:

It's a simple plan for an early-stage SaaS startup with a low-touch sales model – a company which markets a SaaS solution via its website, offers a 30 day free trial, gets most of its trial users organically and through online marketing and converts them into paying customer with very little human interaction. Therefore the key drivers of my imaginary startup are organic growth rate, marketing budget and customer acquisition costs, conversion rate, ARPU and churn rate. If you have a SaaS startup with a higher-touch sales model where revenue growth is largely driven by sales headcount, the plan needs to be modified accordingly.

The new version comes with a number of improvements:
  • Support for multiple pricing tiers
  • Support for annual contracts with annual pre-payments
  • Much more solid headcount planning
  • Better visibility into "MRR movements"
  • Better cash-flow planning
  • Charts galore :-)

The downside of these improvements is that the spreadsheet has become significantly larger and more complex, but I tried my best to find the right balance. Also, the vast majority of the numbers in the sheet are calculated and the number of input cells is fairly limited.

The spreadsheet should be pretty self-explanatory but I've included a number of comments in the spreadsheet. Make sure to check them out - some of them are important in order to understand the model (in case you're not familiar with that Excel feature, hover over the little red triangles).

Here are a some additional notes:

1) General comments
  • The sheet is hot off the press and given the large amount of formulas I can't rule out that there are bugs. If you find one, please email me at and I'll fix it ASAP.
  • Blue numbers indicate data-entry cells. Black and grey numbers are computed.
  • The model contains a lot of simplifications. Don't expect that it will perfectly fit your specific business - consider it a starting point.

2.) "Summary" tab
  • The "Summary" tab contains only two types of input cells: Your starting bank balance and cash injections from financings. Everything else is calculated, mostly using data from subsequent tabs.
  • As with all input cells in the model, consider the values that I've put in to be dummy data. Fill those cells with your own data and assumptions.
  • The model doesn't take into account interest or taxes (except for payroll taxes).
  • The "Revenues" line shows your end-of-month MRR for the respective month. This is not compliant with the US GAAP definition of "revenues", which uses different revenue recognition rules, but since SaaS companies live and breathe MRR I think it's the right approach for a SaaS financial model.

3.) "Revenues" tab
  • The model assumes that you have three pricing tiers. I've called them "Basic", "Pro" and "Enterprise". If you have more or fewer pricing plans you can of course adjust the model accordingly (with some effort). It is further assumed that all Basic and Pro customers are on monthly plans and that all Enterprise customers are on annual plans.
  • The model assumes that you're getting signups organically and via paid marketing and that you're converting a percentage of them into Basic customers and Pro customers. You can change the key assumptions such as your organic growth rate and your conversion rates in the grey area on the left.
  • The Enterprise customer segment follows a different logic, based on the assumption that Enterprise customer acquisition is sales-driven as opposed to the marketing-driven low-touch sales model for Basic and Pro customers. The key drivers in the Enterprise segment of the model are your revenue targets, sales team quotas and your assumptions for churn and upsells.
  • The spreadsheet shows the impact of e.g. Basic customers who upgrade to Pro and Pro customers who upgrade to Enterprise, but to keep things simple it doesn't support each and every possible movement between plans. For example, I didn't include the option for Basic customers to upgrade to Enterprise straight away or for Enterprise customers to downgrade. If this is a relevant factor in your business, you can of course accommodate for that by adding a few extra rows.
  • For Basic and Pro customers, the model allows you to project ARPA development using a given ARPA at the beginning of the planning period along with assumptions on monthly ARPA increases. For Enterprise customers, the model assumes pricing increases at the time of renewal but not during the term of the subscription. Depending on your specific pricing model you'll have to modify that, e.g. to allow for Enterprise customers to add more seats continuously.
  • In order to be able to calculate churn for Enterprise customers in the 1st year of the plan, it is assumed that existing Enterprise customers have been acquired over the course of the previous 12 months. This is of course a somewhat theoretical assumption and you need to adjust the model to include your actual numbers.
  • As you can see in one of the charts below the numbers, the model allows you to calculate your "MRR movements". It's worth pointing out that the model currently doesn't show "Expansion MRR" and "Contraction MRR" separately but only the delta of the two, which I've called "Net Expansion MRR". In order to calculate Expansion MRR and Contraction MRR separately I'd have to add a couple of additional rows. To avoid making things too complicated, I decided against doing that for now. Fortunately ChartMogul (a Point Nine portfolio company, sorry for the plug) makes it super easy to drill down into all of your MRR movements.
  • Please note that the CAC data and "CAC payback time" calculation are based on pretty crude simplifications. A solid planning of CAC payback times, CAC/LTV ratios etc. would require a lot of additional input data.
  • The rows with the "Thereof bonuses..." label contain matrix formulas. Handle with care. :)

4.) "Costs" tab
  • In order to adjust headcount planning in the G&A, R&D and marketing departments, change the assumptions for start date, base salary and bonus in the grey "Assumptions" area. You can remove, change or add roles in column H.
  • With the exception of the VP of Sales role, sales staff headcount planning is done on the separate "Sales Team Hiring Plan" tab (re-using a model that I've built for this post). It calculates the number of sales people that you need based on the growth targets for your Enterprise customer segment, the quota of your sales people and a few other variables.
  • Headcount planning for the Customer Success team is (again with the exception of the VP) done formulaically as well, based on assumptions on how many customers a customer success team member can handle.
  • It is assumed that there's only one team, which I've called Customer Success, which does both customer support and customer success. Many SaaS companies have different teams for the two functions; if you're one of them you can adjust the plan accordingly. 
  • The costs for the Customer Success team are attributed to CoGS. This is debatable – if your Customer Success team plays an important role in converting signups or upselling customers you should consider allocating at least a portion of these costs to S&M and include those costs in your CACs. Please note that changing the "cost type" in column I will not automatically move the costs to a different category on the "Summary" tab so you'll have to do that manually.
  • The model assumes that payroll tax is the same for all employees. This may have to be adjusted, e.g. if you have people in different countries.
  • Regarding the cash impact of expenses, the model assumes that:
    • payroll taxes are paid monthly
    • bonuses are paid yearly (except for the sales team)
    • sales team bonuses are paid quarterly (since bonuses/commissions play a much stronger role in sales compared to other departments)
  • The model (somewhat simplistically) assumes that there are no capital expenditures. If you make investments into things like servers, computers or office furniture you should add these expenses accordingly.

If you've made it this far and haven't downloaded the Excel sheet yet: Here it is.

If you have any questions, comments or suggestions, let me know in the comments or email me. And if you like the model, tweet it out. :)

Finally, big thanks to Chris Amani, Sr. Finance Director at Humanity, as well as to Pawel and Dominik of Point Nine, for reviewing drafts of the model and for providing valuable feedback.