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Some time ago my friend (and co-investor in Clio , Jobber and Unbounce ) Boris Wertz wrote a great blog post about "the only 2 ways to build a $100 million business". I'd like to expand on the topic and suggest that there are five ways to build a $100 million Internet company. This doesn't mean that I disagree with Boris' article. I think our views are pretty similar, and for the most part "my" five ways are just a slightly different and more granular look at Boris' two ways.
Aside from a startup’s internal considerations about the right time to raise money, founders should weigh the seasonality of the fund raising market when planning their raise. There’s a rule of thumb batted around the valley that the worst times to raise capital are in the dog-days of summer and after Thanksgiving. As it turns out, this aphorism is only a half-truth.
My first serious lesson in the criticality of SaaS metrics was about six years ago when I was unexpectedly stumped in a board of directors meeting. I had just presented the booking plan for the year and one of the Director’s in the meeting said that the plan was good, but we really needed to increase our booking rate. My first reaction was something like: “Well our current booking rate is pretty strong and we’re a SaaS business, so even with no immediate improvement to bookings we’ll continue to
"If we just dump enough names in the top of the funnel, some paying customers are bound to come out at the bottom of the funnel!" Wrong. This approach to customer acquisition - sucking in as many suspects as possible - is costly and inefficient. In other words, it's a very bad fit for software-as-a-service (SaaS) companies. For one thing, collecting all those names isn't free.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Content marketing can be an incredibly successful approach to customer acquisition for B2B SaaS companies. And there is a lot of content out there that can teach you how to do it effectively as well, with the likes of HubSpot, Marketo and Kapost all producing great content that’ll help you create a winning content marketing strategy for your company.
ROI is an accounting tool that is used to show actual or perceived future value of an investment or expense. In economic terms, some say that it is a way of considering profits in relation to capital invested. The purpose of ROI is to measure, per period, rates of return on money invested in an economic entity in order to decide whether or to undertake an investment.
ROI is an accounting tool that is used to show actual or perceived future value of an investment or expense. In economic terms, some say that it is a way of considering profits in relation to capital invested. The purpose of ROI is to measure, per period, rates of return on money invested in an economic entity in order to decide whether or to undertake an investment.
Social media is critical. I doubt anyone would argue with me about that. But social media is also misunderstood in some ways. One of those misunderstandings is which social media sites a business or individual should be on. If you read this article, you’re going to understand which social media sites are best for your brand or business. You won’t have to waste your time messing around on social media sites that have no ROI, and you even might do better at gaining leads on the social media sites
In SaaS sales, it’s not enough to sell your customers on buying your product. You need to sell them on using it too! Many founders underestimate how much this matters, and their SaaS startups will never gain traction until they get this right.
Bill Gurley and Fred Wilson have focused on burn rates as an important topic for startups. The immediate question that follows this commentary is: How much does the typical startup burn throughout its life? And what is a “risky” burn rate for a company? I use a rule of thumb to evaluate the burn rate of a Series A startup. I multiply the number of employees by about $10-12k, depending on the location of the company.
Bill Macaitis, the former CMO of Zendesk, articulates how a SaaS marketing team should operate better than anybody else I’ve met. At a recent Point9 conference, Bill outlined the 9 marketing disciplines of great SaaS companies and how they fit together to create a marketing powerhouse. I’ve copied my notes from Bill’s talk below. Ops & Analytics Team.
Speaker: Pete Uselman, Director of Partner Experience at Wind River Payments
Most integrated payments providers share a percent of the payment revenue with their software partners. But, oftentimes, that revenue share is only a fraction of the true income potential software providers can realize. If you want to maximize income opportunities from your payments program, check out Wind River Payments’ webinar-on-demand.
It seems like my recent post about five ways to build a $100 million business resonated very well with a lot of people. I also got some really good comments and suggestions, and so I'd like to follow-up with another post on the topic. Introducing: the Brontosaurus! A reader by the name of " Vonsydow" commented that another way to get to $100 million is by having 100 customers, each paying you $1 million per year, and mentioned Veeva as an example.
My colleague Nicolas wrote a great guide with tips and tricks on how to do cohort analyses which I'd like to share with the readers of this blog. Thanks, Nicolas, for allowing me to guest publish it here. Without further ado, here it is! - - - - - - - - - - At Point Nine we believe that the only way to get a real sense of user retention and customer lifetime is doing a proper cohort analysis.
Today is a very special day for me as as an entrepreneur and investor. About an hour ago, Zendesk went public on the New York Stock Exchange. The last time I watched an IPO so carefully was when Shopping.com, the company that had bought my price comparison startup, went public – almost ten years ago. Here are a few visual impressions of my love affair with Zendesk, which began six years ago: Huge congrats and thanks to the entire Zendesk team – I couldn't be more proud of you guys!
Picture taken by "nlmAdestiny" One of the things that inevitably happens when you're in the angel or VC investing business for a couple of years is that besides a hopefully healthy portfolio, you're also building a growing anti-portfolio. As far as I know, the term "anti-portfolio" has been coined by Bessemer. Its meaning is described very well on Bessemer's website , and because it's so hilarious I want to quote it in its entirety: "Bessemer Venture Partners is perhaps the nation's oldest ventu
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Of the ten most important metrics on a startup’s financial statements , revenue might seem to be the most important. But it isn’t. Gross margin matters more because it is directly tied to a company’s ability spend to grow and achieve profitability. Imagine two startups, both selling products at $1M price points. The first has 5% gross margins and the second has 95% gross margins.
In a Wall Street Journal interview that was published yesterday, Bill Gurley , General Partner at Benchmark and one of the smartest and most successful VCs of all time, said that the current environment reminds him of the tech bubble of the late 1990s: “Every incremental day that goes past I have this feeling a little bit more. I think that Silicon Valley as a whole or that the venture-capital community or startup community is taking on an excessive amount of risk right now.
Who ever said only startups love vanity metrics? Here's our revenge for all those misleading stats that we have to muddle through almost on a daily basis when startups pitch us! Yesterday I saw this post on the blog of Karlin Ventures. In response to a tweet by Paul Graham which was highlighted in Danielle Morrill's excellent Mattermark Daily newsletter, the guys at Karlin Ventures revealed the "days since last contact" numbers for their portfolio.
A terrific SaaS VP of Marketing once told me, “If the sales team is focused on hitting this quarter’s revenue target, then the marketing team ought to be focused on next quarter and the following quarter.” In SaaS companies, one of the marketing department’s primary responsibilities is generating sufficient customer interest to enable the company to achieve their revenue targets.
For SaaS businesses, improving retention is one of the easiest and most effective ways to drive revenue and profits. With a clear link between failed payments and customer churn, having a robust failed payment recovery solution isn’t optional—it’s essential. Achieving your retention goals starts with the right solution.
Startups struggle to set the right price for their products because pricing dynamics in the field don’t obey the laws taught in the classroom. The standard supply and demand curves, drawn above, imply that as price increases demand decreases; that buyers act rationally and that this law is immutable. But this simply isn’t the case. Buyers in the market place violate the traditional supply and demand model all the time.
I've just added three new charts to my Excel template for cohort analysis. The first one shows the MRR development of several customer cohorts over the cohorts' lifetime: Each of the green lines represents a customer cohort. The x-axis shows the "lifetime month", so the dot at the end of the line at the bottom right, for example, represents the MRR of the January 2013 customer cohort (all customers who converted in January 2013) in their 9th month after converting.
Yesterday I posted a brief review of Mikkel’s excellent book “Startupland”. For me, the book is also a good opportunity for some reflections and to share some thoughts in relation to Zendesk’s journey. The first date When I stumbled on Zendesk in 2008 I knew absolutely nothing about enterprise software, B2B or SaaS. I had always been a consumer Internet guy, having founded comparison shopping engine DealPilot.com back in 1997 and personalized homepage Pageflakes in 2005.
First of all, a Happy New Year to all readers of this blog. I hope you've had a great start into the new year, and I wish you a happy, healthy and prosperous (and of course SaaSy ) 2014. I've done a bit of reflection on what I've learned in the last couple of months. Here are six things that I think SaaS founders should keep in mind in 2014. This is obviously not meant as a definite or comprehensive list by any means.
Simplify omnichannel payments with a solution that unifies every channel through your platform. By integrating front-end systems like online, mobile, and in-store payments with robust back-end infrastructure, you can deliver a seamless payments experience without the need for heavy engineering. Omnitoken technology enhances security by tokenizing card transactions for reuse, enabling merchants to drive cross-selling opportunities.
When we start to work with a new portfolio company, one of the things we always suggest is that in addition to (sometimes lots of ) ad hoc communication via eMail, Skype, Basecamp, etc. we set up a standing meeting or call, at least during the first 9-12 months following our investment. Typically it's a one-hour monthly call, and the purpose of these calls is to get us updated and to talk through current issues.
What are the pains and aspirations of your customer? Does your product truly solve your customers problems? And fulfill its promise of doing something in a better way? Most startups wrestle with these questions at their outset, when they are in the customer discovery and customer validation phases of the lean startup cycle. But all startups should reevaluate these questions periodically.
This post is part of a continuing series evaluating the S-1s of publicly traded SaaS companies in order to better understand the core business and build a library of benchmarks that might be useful to founders. In the two most recent analyses, we’ve explored the S-1s of Hubspot and Zendesk, two of the public SaaS companies with the smallest Average Revenue per Customer.
How much is my business worth? It’s a question every entrepreneur, founder and business owner asks themselves. This is particularly true during acquisition conversations with a prospective buyer. Because most companies are privately held, the acquisition details of the roughly 10,000 businesses who sell themselves for less than $500M each year in the US remain hidden.
Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng
It would seem hardware startups are booming. First, the amazing success of the GoPro business and IPO , which set a 23-year high-water mark for a consumer hardware company. Second, there seems to be a growing number of hardware startups bubbling in incubators like Lemnos Labs and Highway1. Third, Kickstarter and other crowdfunding sites have enabled hardware startups to mitigate one of the biggest risks in starting out: obtaining a reliable proxy for consumer demand.
Predictability is sexy. Startups that have tuned their growth engines well enough to accurately forecast their growth, presuming these growth rates are attractive, will command much higher valuations in the market, simply because there is less risk in the company. As a result, investors prize these companies disproportionately. The challenge with predictability is predictability isn’t an end state.
More than two years ago I wrote about what we look for in early-stage SaaS startups. Since then we've looked at hundreds of SaaS startups and have gained additional insights through the work that we've been doing with the SaaS startups that we have invested in. Therefore I thought it would be time for a follow-on post with some additional thoughts. In the original post I focused primarily on early metrics as an indicator of product/market fit and of a favorable CAC/CLTV ratio in the future.
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