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
Data from Stripe (below) shows the speed at which AI native companies are growing compared to SaaS companies. Fast forward to the launch of AWS and the public cloud. Now let’s talk about the AI wave. And now, engineering and distribution (go-to-market) constraints are greatly reduced with AI. What does this mean?
AWS, Twilio, Heroku, etc. ” The company grew from $15M in ARR to more than $1B with this model, consistently achieving better than 130% net dollar retention. With this model, Twilio maintained contracted revenue at less than 50% of ARR while achieving industry-leading retention metrics.
Subscribe now Amazon ReInvent This week Amazon had their annual AWS ReInvent conference. Couple takeaways for me: 2024 is shaping up to be the “prototype to production” year for AI. ” AWS fully embracing the breadth over depth approach. A strong data foundation is critical for an effective AI strategy!
Subscribe now “Grouping + AI” for Triage One area I’m quite excited to see AI revolutionize is “grouping + triage” workflows. Many of them AI based. They each have some of the largest cloud businesses in the world in AWS, Azure and Google Cloud respectively. Follow along to stay up to date!
Generative AI is a platform shift where models can take inputs such as text, image, audio, video, and code and generate new content into any of the modalities mentioned. The Pace of AI is Increasing Dramatically Something ground-shifting has been happening over the last five years — the pace of innovation.
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). Net Revenue Retention High net revenue retention is the fourth aspect of a successful quarter, and one of my favorite metrics to evaluate in private SaaS companies.
For example, Google and AWS are already ZoomInfo customers, but only certain sub-segments within those businesses – not the entire org. So, in 2024, there should be a more normalized customer base from a retention perspective as you transition past Q1 and those customers are transitioning with you. What technologies do they use?
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.
It can be tough to know the answer to that question, but the indicators should be focused more on the retention side over the acquisition side. . Your customer retention is the best quantifiable measure of product-market fit; however, retention is a lagging indicator. Roberge recommends starting with product-market fit.
Amazon on AWS : “…customers are continuing to shift their focus towards driving innovation and bringing new workloads to the cloud. So what you're seeing is much more of that continuous cycles by customers, both when it comes to AI or whether it comes to the traditional workloads.” Follow along to stay up to date!
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.
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. Every week I’ll provide updates on the latest trends in cloud software companies. Follow along to stay up to date! Why am I mentioning all this?
net retention and CAC payback). Who are the real AI winners. 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. Is Software Rebounding? The first few months of this year felt like a lot of churning in the market.
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!
Cloud Giants Report Q2 We also got the Q2 quarters from AWS / Azure / GCP this week! Our expectation, obviously again, is that we are going to significantly increase our investments in AI infrastructure next year, and we'll give further guidance as appropriate.”
Hyperscaler Preview Next week Amazon, Microsoft and Google report earnings and we’ll see Q3 data for AWS, Azure and Google Cloud. These are thought to be the early AI winners, largely due to all of the compute they’re selling to power GenAI applications.
How do you ensure your AI product not only survives but thrives in this competitive market? In an upcoming talk , she’ll take a deep dive into the specifics of launching AI-first products. In an upcoming talk , she’ll take a deep dive into the specifics of launching AI-first products. Defining the value proposition.
Artificial intelligence is revolutionizing our everyday lives, and marketing is no different, with several examples of AI in marketing today. From communication to automation, the latest updates in AI are genuinely bridging the gap between science fiction and reality. Marketing AI best practices. AI-powered marketing tools.
When I think about the monetization of AI (and which “layers” monetize first) I’ve always thought it would follow the below order, with each layer lagging the one that comes before it. Model providers (OpenAI, Anthropic, etc as companies start building out AI). 2024 will be the year of AI applications!
AWS (Amazon), Azure (Microsoft), and Google Cloud (Google) all reported this week. Then AWS appeared to add fuel to that hope before giving us a huge rug pull. After all, they had a lot of AI tailwinds, and benefited tremendously from consolidation (without a headwind of a larger base of smaller startups, like AWS).
So far - you’re either tied to AI tailwinds, or it’s rough out there. And in the public universe, it’s really only been the hyperscalers who’ve benefited from AI. We’ll see if anything improved in the month of April, or if it was another challenged month.
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.
Subscribe now Big Week of AI! This week had a number of important AI announcements. The rate of innovation in the AI markets is staggering, and a reminder that it’s really hard for anyone (big companies especially) to “fully commit” to an AI strategy or vendor. Follow along to stay up to date!
Userpilots data is fully encrypted and stored with SOC-compliant vendors like Amazon AWS and Google Cloud. Onboard users, make announcements, and boost retention with mobile-first UI patterns. Thus, you have a single platform that addresses everything you need, from onboarding to retention.
AI = Data + Compute I’ll continue beating this drum, but we got two great quotes from Azure and AWS this week. Satya at Microsoft said “Every AI app starts with data and having a comprehensive data and analytics platform is more important than ever.” AWS reports next week. So what did we learn?
How Will AI Effect Software Business Models? Like many, I’ve been thinking about how AI and foundation models will effect the world of software. In particular - how AI will effect software business models. The majority of COGS (revenue less COGS = gross profit) fall in hosting costs (ie AWS), and some customer support.
It was around that time about 12 years ago that Jeff Bezos launched AWS, and some of you may remember that, when he did this, Wall Street analysts were looking at him and saying, “Why would you take what’s already a very unprofitable business and drive it further into the red by investing in this AWS initiative?”
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. And everyone hoping for AI acceleration will need to wait. The hyperscalers (AWS, Azure, GCP) are seeing some uptick, but this is largely from selling compute (ie cloud GPUs). The weakness they called out was from larger cloud-native businesses.
We have companies like BuzzFeed and C3 making loose announcements about how they will incorporate generative AI into their business, sending their stocks up 50-100%+. 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.
For example, you can label key events like clicks on a new feature and use that data to track adoption, usage, and retention rates. Intercom Intercom is an AI-powered customer service tool that equips teams to engage customers through omnichannel support and activity-driven automation. Session replays with Userpilot. per resolution.
Author: Avi Sanadhya, ReSci Platform Engineering Team At Retention Science we deliver personalized marketing campaigns powered by machine learning to drive a deeper level of customer engagement. Our AI engine, Cortex, is responsible for billions of predictions daily and hundreds of millions of personalized emails each month.
Amplitude: Product intelligence and event tracking software , offering customer engagement and retention insights. Integrations PostHog works well with Kafka, Slack, AWS, Google Cloud, GitHub, Tableau, and Looker. You can track engagement, measure conversion rates and understand user retention. Pricing is available upon request.
For SaaS businesses, PLG offers benefits like lower user acquisition costs , reduced burden on customer success and support teams, sustainable and scalable business growth, and higher customer satisfaction, retention, and lifetime value. For example, your AWS bill will most likely go up, but this is the case regardless of the growth 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. AI Integrations. Double down on retention. As such, many SaaS businesses are opting for the latter. Offer tiers.
Either way, a decrease in attrition could be achieved using digital retention methods and an improved customer interaction site. Besides, their data professionals could develop comprehensive data strategies, deploy sophisticated analytics, and use AI to acquire deeper insights.
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?
We’ve all seen AWS and what they’ve done with their platform. What we’ve built is this core AI machine learning engine that takes literally millions and millions of unique sources so that we can deliver 95% accuracy to our clients. If you look at the IAS vendors, they passed $130 billion revenue milestone this year.
For example, I think of AWS. Things like AI – we of course we have Gong out there – that’s now taking notes for CSMs. Customer Lifetime Value and Client Retention: What’s the Connection – Find out how to improve customer lifetime value as well as your customer retention rate. You can do the math.
The ultimate failure of Siri to dominate the AI personal assistant game might come to be seen as its biggest miss of the decade. The wave of SaaS companies that built themselves on the likes of AWS and Azure have reinforced the pre-eminence of cloud computing.
This year, topics ranged broadly from incorporating AI to deliver world-class consumer experiences to defining and measuring different forms of community-powered growth. Acquisition, retention, and monetization potential of your first product is another reason B2B tends to expand earlier. Their retention strategies were also different.
This will be a really strong indicator of retention and recruiting. Five people in the digital team were looking at blockchain projects and three people on that digital team were looking for long term AI transformation. Is AWS in the lead? Aaron Levie: Everybody had their digital team. Aaron Levie: Exactly.
AI Commentary Some interesting AI commentary / stats I wanted to highlight from a couple earnings calls this week Microsoft on AI “We're excited that only 2.5 years in, our AI business is on track to surpass $10 billion of annual revenue run rate in Q2. ” No commentary on 2025 AWS CapEx Q3 CapEx: $22.6B
Subscribe now The Platform Evolution Cycle I think we’re entering a really interesting point in the AI platform shift. I call this the “Reinvention Loop", and I think we’re just starting to hit this point in the AI platform shift. This is why we’re seeing some of these AI companies scale as quickly as they are.
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