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A Look Back at Q1 '24 Public Cloud Software Earnings

Clouded Judgement

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).

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Thanks to ChartMogul, ChurnZero, Cledara, Secureframe, and Verdane for Sponsoring SaaStr Europa 2023!

SaaStr

ChartMogul is an analytics platform to help you run your subscription business. You get a complete overview of your global subscriber base; MRR, ARPU, ASP, churn and LTV are presented in a beautiful and easy to use dashboard. ChurnZero is the Customer Success platform and partner for growing SaaS and subscription businesses.

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Thanks to Bee, ChartMogul, Maast, SecureFrame, and StratusGreen for Sponsoring SaaStr Annual 2023!

SaaStr

ChartMogul is an analytics platform to help you run your subscription business. You get a complete overview of your global subscriber base; MRR, ARPU, ASP, churn and LTV are presented in a beautiful and easy to use dashboard.

Payments 258
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Clouded Judgement 8.11.23 - Datadog Consumption Trends

Clouded Judgement

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.

Cloud 130
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Data Scientist Job Description and Templates

User Pilot

Churn Prediction : Customer churn is a major concern for SaaS companies. Data scientists build churn prediction models to identify customers at risk of leaving. Bonus points : Experience with cloud platforms (AWS, Azure, GCP). This allows the company to take proactive steps to retain them (e.g.,

Data 52
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Data Scientist Career Path

User Pilot

Bonus points : Experience with cloud platforms (AWS, Azure, GCP). Churn Prediction : Customer churn is a major concern for SaaS companies. Data scientists build churn prediction models to identify customers at risk of leaving. Experience with data visualization tools (e.g., Tableau, Power BI).

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