On December 2, SaaS Office Hours at Redpoint will welcome Maia Josebachvilli, VP of Strategy and People at Greenhouse, a fast growing recruiting software company. Before Greenhouse, Maia founded Urban Escapes, a DC-based startup she sold to LivingSocial. Maia is especially well known for her thought leadership in developing best in class recruiting metrics. She was also selected for Inc’s 30 under 30.
Last night, SaaS Office Hours hosted Optimizely co-founder and CTO Pete Koomen. Pete was a Google Associate Product Manager for AdSense and launched Google App Engine. Then he joined his co-founder, Dan Siroker, also an APM at Google to found three companies, the last of which is Optimizely.
As Pete shared with us, the idea of Optimizely was borne from a need Dan saw when managing the teams to build Obama’s fundraising websites during his first campaign. Dan and his team wrote code to fine-tune sign-up flows, and the experiments meaningfully improved fundraising performance. During YCombinator, after Pete and Dan had been accepted with a different ecommerce idea, that the two founders jettisoned the first idea and instead pursued the website optimization concept. Famously, they tested the idea by calling two advertising agencies and asking them to pay $1000 a month for early access to a product that didn’t yet exist (but soon would). Now 400 people strong, Optimizely is the leader in A/B Testing.
In 76 years, the British cycling team have recorded only one gold medal. In 2002, pushed by new head coach named Sir Dave Brailsford, the team implemented philosophy of continuous incremental improvement. And the results were astounding.
In the last two Summer Olympics, the British cycling team has won seven of a possible 10 gold medals at each event, a remarkable transformation. But, it wasn’t a 1% improvement on any arbitrary metric. Rather, the team identified the top factors performance, and focused on single-digit improvements in those. There were three: strategy, human performance, and continuous improvement. and the team spent years refining strategy unique to each race, optimizing the diet and training of each athlete, and experimenting, experimenting, experimenting.
As the temperament of the fundraising market shifts, particularly in the later stages, the question of how much a startup should burn will become increasingly important. We’re living in a historic period of very inexpensive venture capital. These cheap dollars have fueled spectacular companies with record-setting growth rates. In such an environment, growth at almost any cost is handsomely rewarded. But we’re observing the ecosystem starting a correction - particularly in the late stage of the market. And so burn rates will matter more and efficient growth will be prized again.
Founded in 2002, the Australian software maker Atlassian is an exceptional company in many regards. But foremost, Atlassian is one of the best examples of flywheel SaaS companies yet. Atlassian counts 1600 employees and sells five products JIRA (bug tracking software), Confluence (project management), HipChat (internal chat/collaboration), BitBucket (code repository) and JIRA Service Desk (help desk software. Yesterday, Atlassian filed their F-1, a document preceding their IPO, and revealed how efficient a software company they have built. In 2015, the company will generate $320M in revenue.
In the last 22 months, there have been 4 $1B+ software IPOs and 3 $1B+ software acquisitions. But compared to 2014, 2015 was a meager year for startups looking to go public or be acquired. The chart above plots the M&A activity over this period.
The M&A market halved in activity. In 2014, $11B of disclosed M&A occurred. I’m excluding take-private transactions of public companies like SAP/Concur, Bain/BlueCoat, Oracle/Responsys, etc. Through November 1st 2015, transaction values dipped 40% to $6.8B. The number of transactions has also nearly half from 38 to 17. However, in 2015 the median acquisition was worth $410M, compared to $193M in 2014, indicating that buyers are not buying as frequently, but when they are, they spend more.
On November 18, SaaS Office Hours at Redpoint will welcome Pete Koomen, Co-Founder and CTO of Optimizely, the incredibly fast growing AB testing and personalization company Pete founded with Dan Siroker. Numbering more than 400 people, Optimizely has built an amazing business since 2009, serving thousands of customers. Before Optimizely, Pete was a product manager at Google building Google App Engine which grew to support 150,000 developers. Before App Engine, Pete worked in the AdSense team and managed the OKR process at Google.
Last night, SaaS Office Hours hosted go-to-market guru Kenny van Zant. Kenny is a serial entrepreneur started his career as founder and COO at BroadJump, a broadband software company that grew to $100M in bookings. He was awarded the Ernst & Young Entrepreneur of the Year in 2002. After BroadJump, Kenny built the go to market organization at Solarwinds, a $4B market cap infrastructure software company, and Asana, a fast-growing productivity company, both of which exemplify a unique go-to-market approach, Flywheel Model, brilliantly.
What is the optimal quick ratio for your SaaS startup? Is it 4?
Quick Ratio = (New MRR + Expansion MRR) / (Churned MRR + Contraction MRR)
The quick ratio measures a SaaS company’s growth efficiency. The formula for quick ratio is above. It’s the new monthly recurring revenue (MRR) in a month plus the expansion MRR divided by the sum of the churned MRR and the contraction MRR. Churned MRR are customers who have not renewed contracts and contractions are those customers who have decreased their payments.
Last week, a friend asked me what I thought the future of software would be. At some point, all the workflow processes that still conducted on paper and pencil will be digitized, all of the tasks completed in Excel will be optimized, and the majority of limitations of traditional software will be overcome. It’s not to say that software innovation in its current form will continue to exist for decades, but what is the fundamental shift that resets the ecosystem like the cloud did in the early 2000s?