This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
net retention and CAC payback). It’s worth pointing out that Azure is a bit above the long term trendline, while AWS is still below (but accelerating up). It’s worth pointing out that Azure is a bit above the long term trendline, while AWS is still below (but accelerating up).
Another 5%-7% go to core infrastructure costs (AWS, Azure, Snowflake, etc). It’s your top marketing and customer retention investment. Typically support consumes about perhaps 5%-7% of your revenue at scale (excluding customer success) in most SaaS models. It could be more or less, but that’s a rough way to think about it.
They each have some of the largest cloud businesses in the world in AWS, Azure and Google Cloud respectively. Overall, there was weakness across the board. Not the best start to cloud software earnings season!
You need an efficient way to keep your customers successful, reduce churn, drive adoption, and increase net revenue retention. Secureframe allows companies to get compliant within weeks, rather than months and monitors 100+ services, including AWS, GCP, and Azure.
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). Cloudflare is up 17%. Datadog is up 14%. Mongo is up 16%. Snowflake is up 14%.
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.
We now have results from the three hypersclaers (AWS / Azure / GCP). The most notable change in tone was Andy Jassy talking about AWS. Subscribe now Cloud Giants Report Q1 + Early Look at Software Results Q1 earnings seasons has officially kicked off! ” Full quote below: “We're seeing a few trends right now.
net retention and CAC payback). It looks at the YoY dollar change in quarterly revenue from the hyperscalers (just looking at Azure / AWS because the data goes back further) going back a few years. Through these interactions, I’ve built up mental benchmarks for metrics on which I place extra emphasis.
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!
The most triumphant transfer of control from an original generation leader to a new CEO was surely that of Microsoft, which pivoted from chasing after Apple’s success in the consumer space under Steve Ballmer (don’t mention Nokia ) to successfully focusing on the cloud under Satya Nadella (please do mention Azure).
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.
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. Every week I’ll provide updates on the latest trends in cloud software companies. Follow along to stay up to date! It’s very tricky to predict.
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!
Hyperscaler Preview Next week Amazon, Microsoft and Google report earnings and we’ll see Q3 data for AWS, Azure and Google Cloud. Said another way, the 10Y today is double what it averaged from 2010 to 2020.
” 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.
Cloud Giants Report Q2 We also got the Q2 quarters from AWS / Azure / GCP this week! A lot of companies report next week, we’ll see if they’re able to quell any fears!
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).
Expansion revenue is still declining (we see this in falling net retention rates), but gross retention remains strong. 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.
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.
Enterprise software businesses strive for 90-95% gross retention (generally the percent of revenue that sticks with you vs churns altogether), with net expansion in the 120%+ range (the aggregate change in expansion - contraction - churned revenue). Namely, retention!! For “fake” ARR, retention can vary wildly.
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!
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.
You’re leaving cash on the table for your competitors to sweep up if you don’t have a strategy for retention marketing. So, in this blog we’ll show you how to keep your customers happy with a targeted retention strategy. What is Retention Marketing? How to Measure Retention. Day 1 Retention. Week 1 Retention.
This can lead to an airpocket of valuation as companies transition to a different primary valuation metric Outside of the hypserscalers (Azure, AWS, GCP) who have uniquely benefited from AI revenue (mainly selling compute), everyone else has largely struggled. Coming in to Q1 there was broader optimism. Q4’s were generally good!
What’s evolved over the years and is driven by hyper-scalers like Google Azure, AWS, Twilio, and Stripe is the consumption-based model. In this approach, you’re paying a lot to reps for retention. There are still some complexities around SaaS-based approaches. So, it’s more customer-friendly, but it also has its pros and cons.
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.
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 good news is gross retention (ie churn) stayed constant. 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 weakness they called out was from larger cloud-native businesses.
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. Lots of deceleration in growth.
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.
Appcues enhances user onboarding, adoption , and retention with targeted walkthroughs, in-app messaging, and feature adoption tools. Key examples are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform, which provide scalable resources like virtual servers and storage. What are the benefits of the SaaS model?
It has tended to be used most in infrastructure platforms, like AWS, Google Cloud, and Azure. 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. Closely watched SaaS metrics.
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. Double down on retention. Yet, many SaaS businesses do not spend enough time focusing on retention.
Either way, a decrease in attrition could be achieved using digital retention methods and an improved customer interaction site. Industry Cloud Consulting A team of industry cloud professionals can have considerable experience with insurance cloud-native systems and competence in top hyperscalers like AWS and Azure.
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. And so in the early years of the company, we really struggled from a net retention and logo churn perspective. It is staggering. It’s sort of what you’re saying.
Five months after he was terminated , a former Cisco employee accessed a critical AWS-hosted system. Is it an HRIS or an IdP like Okta, OneLogin, or Azure AD? What are the retention requirements? A disgruntled employee can cause major damage if their access isn’t completely revoked immediately after they are terminated.
This will be a really strong indicator of retention and recruiting. I think that there is probably another couple orders of magnitude of growth in these markets, which is why I don’t get that energized by like, “Okay, is Azure in the lead? Is AWS in the lead? Is the Google in the lead?”
Restrict access and establish retention timelines. Examples include: Veronis, Azure Purview, AWS Macie. What are the best practices regarding record maintenance and retention for activities concerning personal data? Allow easy consent withdrawal and review. Examples include: Delphix and Informatica.
The three security layers that help prevent unauthorized access and safeguard valuable data include: Layer 0 aka IaaS (Infrastructure as a Service) is the primary layer on which everything else runs e.g. AWS, Google Cloud Platform, Microsoft Azure and IBM Cloud. Data Deletion Policy. User-level Data Security.
” “Azure OpenAI usage more than doubled over the past 6 months” “GitHub Copilot enterprise customers increased 55% quarter-over-quarter” Google on AI “Gemini API calls have grown nearly 14x in a 6-month period.” ” No commentary on 2025 AWS CapEx Q3 CapEx: $22.6B vs expectations of ~$17B.
And I remember like AWS was growing really quickly. And at the time there was a big debate of, “Will big companies ever really use AWS?” I mean them an Azure, like they’ve just had tremendous success, but 10 years ago that wasn’t a given. ” Michelle: For the retention of people?
Dynamic, customer-friendly pricing strategies that balance affordability, profitability, and user retention. Why It Works Predictable revenue (great for business stability) Encourages long-term retention (monthly vs. yearly plans) Scalable for businesses of all sizes The Challenge Churn risk: If customers stop seeing value, they cancel.
We organize all of the trending information in your field so you don't have to. Join 80,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content