Sun.Aug 13, 2023

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Top SaaStr Content for the Week with Cockroach Labs’ and Loom’s CEOs, monday.com’s Co-Founders, SaaStr’s Founder and more!

SaaStr

Each week, we round up our most popular content so you can catch up on anything you may have missed. Check out this week’s top blog posts, podcasts, and videos: Top Blog Posts This Week: 5 Top Tips to Drive Down Churn in The Early Days 5 Interesting Learnings from Atlassian at $3.2 Billion in ARR An Underused Strategy: Truly High Value Drip Marketing to Prospects 10+ Of The Most Common Mistakes in Early SaaS Sales (Updated) 30+ SaaS CEOs Share The Signs Their First VP of Sales … Just

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Feature Prioritization Matrix 101 for Product Teams

User Pilot

What’s a feature prioritization matrix and how can product teams leverage it to make better product decisions? These are the key questions we cover in the article. We also look at: The reasons to use a feature prioritization matrix. How to develop your own prioritization matrix. Prioritization mistakes to avoid. Examples of different prioritization frameworks.

Scale 94
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Top 10 SaaStr Tips for Founders & CEOs

SaaStr

The blog Healthy Competition put together their favorite Top 10 SaaStr Tips for Founders & CEOs from all our content. It’s a great list and I thought I’d put it up here and add to it a bit: And a deeper dive on them here: The best CEOs respect & understand the competition cold. Even at the earliest days, the best founders know the competition cold, and can tell you where they are strong as well as weak.

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My App Stack: Miguel Carranza, CTO of RevenueCat

SaaStr

We’re kicking off a new series on SaaStr on what top SaaS and Cloud leaders (CROs, CMOs, and CTOs) use in their tech stack. First up is Miguel Carranza, CTO of RevenueCat. RevenueCat (where I was lucky enough to be the first investor) is the leading mobile subscription management API and literally processes more API calls a day than Stripe. It’s the nature of mobile.

New CTO 215
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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?