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Through these interactions, I’ve built up mental benchmarks for metrics on which I place extra emphasis. My hope is that this analysis can provide startup entrepreneurs with a framework for how to manage their businesses around SaaS metrics (e.g., This metric is more self-explanatory, so I won’t go into detail.
And realistically, most won’t have the metrics to pull off another round. Shopify , Datadog, Crowdstrike , Google Cloud-Azure-AWS, Snowflake , etc. And 38% have 12 or less months of runway left. Many have already raised a bridge round. This sounds a bit dire, but really it isn’t. That’s how it works.
They each have some of the largest cloud businesses in the world in AWS, Azure and Google Cloud respectively. Given most software companies are not profitable, or not generating meaningful FCF, it’s the only metric to compare the entire industry against. Overall, there was weakness across the board.
The hyperscalers (AWS, Azure, GCP) are always some of the first companies to report earnings during earnings season (coming up in 2 weeks), and there’s always a read through for consumption names (meaning people believe there’s a correlation). I created this subset to show companies where FCF is a relevant valuation metric.
Culture Structure You want a culture of checking results and having metrics to evaluate those results from the LLM or a more traditional model. You want a culture that focuses on your metrics and evaluating what’s important to you. Whatever the metric is, you have to translate that into a concrete metric.
Subscribe now Cloud Giants Report Q3 ‘23 Not a great signal for software this week from the Cloud Giants (AWS, Azure and Google Cloud)…After Q2 (3 months ago), the tone from the Cloud Giants around optimizations was largely: optimizations have started to ease, and net new workloads have picked up. Staggering scale already.
And it’s one of the three large cloud vendors that we all know: Microsoft, AWS, and Google. Azure’s marketplace has over 4 million monthly visitors. AWS’s marketplace has seen 1.5 Like I said, we run 100% of our platform on AWS, so the fit was great. It was pretty easy to drive that from our side.
We now have results from the three hypersclaers (AWS / Azure / GCP). The most notable change in tone was Andy Jassy talking about AWS. Given most software companies are not profitable, or not generating meaningful FCF, it’s the only metric to compare the entire industry against.
There’s a metric the very top founders track quitely, but ruthlessly, that I find other founders either don’t track, or sort of hide from. DigitalOcean is growing more slowly than its mega competitors Azure, AWS, etc. That’s % of marketshare. And importantly, if it’s growing, or shrinking. More here. #2.
Amazon on AWS : “…customers are continuing to shift their focus towards driving innovation and bringing new workloads to the cloud. ” Microsoft on Azure : “And I think last quarter, we said one, we are going to continue to have these cycles where people will build new workloads. Follow along to stay up to date!
Through these interactions, I’ve built up mental benchmarks for metrics on which I place extra emphasis. My hope is that this analysis can provide startup entrepreneurs with a framework for how to manage their businesses around SaaS metrics (e.g., This metric is more self-explanatory, so I won’t go into detail.
AWS (Amazon), Azure (Microsoft), and Google Cloud (Google) all reported this week. Azure reported on Tuesday and gave us that glimmer of hope. Then AWS appeared to add fuel to that hope before giving us a huge rug pull. Azure came in at 31% (constant currency). They then guided to 26-27% Azure growth in Q2.
Hyperscaler Preview Next week Amazon, Microsoft and Google report earnings and we’ll see Q3 data for AWS, Azure and Google Cloud. Given most software companies are not profitable, or not generating meaningful FCF, it’s the only metric to compare the entire industry against.
Cloud Downgrades This week UBS came out with a couple research reports citing concerns in AWS / Azure growth. This brings me back to AWS / Azure downgrades. Given most software companies are not profitable, or not generating meaningful FCF, it’s the only metric to compare the entire industry against.
Hyperscalers Report Quarterly Earnings This week we saw AWS (Amazon), GCP (Google) and Azure (Microsoft) report earnings. Overall, it wasn’t pretty… AWS grew 28% when expectations were 30-31%. At the same time, Azure came in below expectations. Follow along to stay up to date!
Subscribe now Foundation Models Are to AI what S3 was to the Public Cloud Many people look at 2006 as the birth of the public cloud - the year Amazon launched AWS. Microsoft launched Azure in 2010, and Google launched GCP to the public in 2011 (they launched a preview of Google App Engine in 2008, but made it publicly available in 2011).
Cloud Giants Report Q2 We also got the Q2 quarters from AWS / Azure / GCP this week! Given most software companies are not profitable, or not generating meaningful FCF, it’s the only metric to compare the entire industry against. I created this subset to show companies where FCF is a relevant valuation metric.
” These are two quotes about AWS on the Amazon earnings call. AWS grew 16% in Q1, but called out growth in April (first month of Q2) was 11%. You can see more detail about their net new ARR added each quarter below Azure Growth came in at 27%, and guided to 25-26% growth for Q3.
They can provide big-picture ROI, but they don’t have hard ROI metrics, benchmarks, and success stories. We’re seeing a growing trend of buyers making SaaS purchases through global marketplaces such as the AWS Marketplace and Azure Marketplace. If you have an in-depth ROI figure, talk to customers very early about this value.
Next week we get all 3 hyperscalers reporting (AWS from Amazon, Azure from Microsoft, and GCP from Google). Let’s double click on Azure. On AWS, in their Q4 earnings call they said AWS was growing “mid teens” in January (down from 20% in Q4). The Q4 ‘22 growth rate was 38% YoY.
All 3 (AWS, Azure, GCP) saw positive reacceleration Quarterly Reports Summary Top 10 EV / NTM Revenue Multiples Top 10 Weekly Share Price Movement Update on Multiples SaaS businesses are generally valued on a multiple of their revenue - in most cases the projected revenue for the next 12 months.
AI = Data + Compute I’ll continue beating this drum, but we got two great quotes from Azure and AWS this week. ” Then at AWS Summit they called out “Your data is your differentiator when it comes to Generative AI.” AWS reports next week. ” Data is more important than ever!
Usage on Snowflake is driven by queries run on Snowflake Azure: Neutral Tone With Strength in AI Overall I’d characterize Azure’s quarter as a net positive. They guided to 26-27% growth in Azure in Q2 (with 1% coming from AI). Their consumption is driven by usage of applications built on top of Mongo.
.” As growth starts to slow, it gets harder and harder to justify using revenue multiples as a primary valuation metric. And when this happens, growth companies transition to more of a value based valuation metric (FCF or PE). I created this subset to show companies where FCF is a relevant valuation metric.
Hyperscalers (AWS, Azure, GCP as companies look for cloud GPUs who aren’t building out their own data centers) Infra (Data layer, orchestration, monitoring, ops, etc) Durable Applications We’ve clearly well underway of the first 3 layers monetizing. Revenue multiples are a shorthand valuation framework.
Subscribe now ARR (Annual Recurring Revenue) vs ERR (Experimental Runrate Revenue) ARR (Annual Recurring Revenue) is one of the most popular SaaS (Non-GAAP) metrics. However, it’s also one of the most loosely used metrics, and is frequently misused. I created this subset to show companies where FCF is a relevant valuation metric.
What’s evolved over the years and is driven by hyper-scalers like Google Azure, AWS, Twilio, and Stripe is the consumption-based model. Rather than compensating based on ARR, it’s based on a volume and quality-based metric. There are still some complexities around SaaS-based approaches. This is MongoDB’s approach.
In the short term, enjoy the ride as the chase continues 😊 Kind of related to all of this - we now have seen the Q4’s from AWS, Azure and Google Cloud. Given most software companies are not profitable, or not generating meaningful FCF, it’s the only metric to compare the entire industry against.
If next quarter we get similar commentary that Azure gave us this quarter (“still a couple quarters away” without any specific guidance), then we may see market loose a little patience. The hyperscalers (AWS, Azure, GCP) are seeing some uptick, but this is largely from selling compute (ie cloud GPUs).
A few months ago, we retired our last pieces of infrastructure on DigitalOcean, marking our migration to AWS as complete. Our journey was not your regular AWS migration as it involved moving our infrastructure from classic VMs to containers orchestrated by Kubernetes. Ultimately, we decided to go with AWS. Team expertise.
This is why we’re seeing more and more SaaS companies—Datadog, Twilio, AWS, Snowflake, and Stripe, to name a few—find success with product led growth paired with usage-based pricing. Though it was pioneered in the infrastructure layer (think: AWS and Azure), it’s becoming increasingly popular for API-based products and application software.
The AWS Well-Architected Framework is one such approach that helps adopt architectural best practices (whether or not you run on AWS) and adapt continuously. Another essential benefit of identity in a tenant context is that it aids in capturing and analyzing events from logs & metrics.
This will let you achieve optimal security and performance metrics, but these boxes will not be fully utilized. Going the Amazon Web Services (AWS) route? Your SaaS tech stack should ideally be powered by Python, React, and AWS programming combo. Picking the right SaaS architecture model for your business is very important.
Typical data lake storage solutions include AWS S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS) or Hadoop Distributed File System (HDFS). The warehouse is then optimized for efficient access (typically through SQL) to that data, with a number of other properties layered in (like governance, access, security, etc).
You can see the growth on the platform side with Azure, Google, and AWS and how much it’s accelerating in AI. To some extent, it’s not clear. Maybe endless price increases,” Jason says. A lot of it is moving to versions of AI. How does a startup benefit from this? Dell fell 15% last week.
Service providers like Amazon Web Services (AWS), Google Cloud Platform, and Microsoft Azure offer server hosting and load-balancing services. Service providers like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure offer infrastructure services that support backend development.
AWS WAF is a great option for software and DevOps teams that are already using AWS services or looking for a scalable and flexible WAF solution. AWS WAF is a great option for software and DevOps teams that are already using AWS services or looking for a scalable and flexible WAF solution.
ProfitWell — SaaS B2B company ProfitWell has a number of software products designed to help SaaS companies improve their outcomes, including the free ProfitWell Metrics analytics software for SaaS. AWS — Amazon Web Services is perhaps the most used of the cloud infrastructure options. Every business is unique.
Google Compute Engine (GCE), Digital Ocean, and Amazon Web Services (AWS) are all good examples of IaaS. Some PaaS examples include Windows Azure, Google App Engine, and Force.com. You can get started with a pricing audit, completely free through ProfitWell Metrics to see where you need to improve in terms of pricing.
The main benefits of categorizing your SaaS company’s expenses are more accurate metrics and forecasts, and getting a better understanding of your company’s overall spending. While not a GAAP-metric, it’s widely adopted and understood (examples here , here and here ). This is a v2.0
We’ve all seen AWS and what they’ve done with their platform. Azure has been gaining on them rapidly and is growing a double that rate. Number two, we really want companies to report and track these metrics early. We should all, if we have strong metrics, strong revenue retention, we should be confident to do this.
It has tended to be used most in infrastructure platforms, like AWS, Google Cloud, and Azure. Closely watched SaaS metrics. Companies with the best net dollar retention (NDR) and customer acquisition costs (CAC), two other closely watched SaaS metrics, also tend to rely on usage-based pricing. But that has been changing.
Microsoft Azure, Amazon Web Services (AWS), or Salesforce AppExchange). Customers only pay based on the number of users, the volume of data processed, or other usage metrics each period. For ISVs, this means developing applications that can run on various platforms such as Windows, macOS, Apple, or Android.
By almost all key metrics, now is a great time to get into the SaaS business model. Running your own server to handle your customer's valuable data requires a huge investment to match the same level of security and reliability that comes baked into services like Amazon AWS and Microsoft Azure cloud. Get ProfitWell Metrics.
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