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With a PLG-heavy background, first working at Microsoft Azure and again with Atlassian, the PLG pioneers, he gives insights into leveraging PLG for the growth of your organization. Let’s break down the definition of PLG into a few components. Atlassian, Microsoft Azure, and Zoom are good examples of that. That’s PLG.
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). So what are these consensus estimates and who creates them?
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. which feels unlikely.
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. This was the worst tone that we’ve heard in years from large AWS/Azure partners, a group that usually expresses different shades of optimism about AWS/Azure growth.”
AI = Data + Compute I’ll continue beating this drum, but we got two great quotes from Azure and AWS this week. Powell said the Fed staff no longer is forecasting a recession. This week we had two of the hypserscalers report (Microsoft / Azure and Google / GCP), and everyone was eager to see their results.
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. If we break this down and look at Azure and AWS independently (graphs below), you’ll see how the AWS “swings” were a lot more volatile.
Azure / Confluent / Datadog reported a few weeks back (they all had March quarter ends), and their commentary suggested the worst was behind us. An element of re-acceleration is definitely priced in to current 2024 estimates, so we may see 2024 estimates fall. This means we got commentary for the first time on May trends.
On the Microsoft earnings call they said (related to Azure): “But at some point, workloads just can't be optimized much further. Every public company has a number of equity research analysts covering them who build their own forecasted models, which combine guidance from the company and their own research / sentiment analysis.
So many factors feed into it, it can be segmented in so many different ways and it’s often so hard to forecast that SaaS businesses can find it easier to focus on other, less critical metrics. As Andrew Michael of Churn FM explains in this video (2:00 to 2:28): More often than not, when people start to look at retention, it’s really too late.
Ray Smith: Yeah, I think it’s two years ago, it was definitely termed the moonshot project because the whole thesis was the future of AI is not going to be just this chatty interface or LLM that we’re going to interact with. building data hug out, which was in the predictive forecasting, you know, pipeline management space.
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