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As we gear up for 2025 SaaStr Annual, May 13-15 in SF Bay , we wanted to do a deep dive on some of the best sessions from past Annuals. As Atlassian was crossing $10B ARR, CRO Cameron Deatsch came to SaaStr Annual to share how they build a platform and ecosystem to fuel that growth. 5 Nonobvious Learnings from Atlassian’s Path to $10B 1. The “Anti-Enterprise” Enterprise Model Most surprising insight: Atlassian’s growth challenges conventional enterprise wisdom.
Public relations is a dying trade. Mainstream media has less influence than ever. Pitching for coverage is a thankless, fruitless task. Yeah, well, I think PR is poised for a massive comeback. Here’s why: Traditional media may have less influence, but diverse, distributed sources of influence have never, NEVER held more sway over opinions and buying behavior.
Top Posts: #1. Its 2025. There Is No Downturn Anymore. Its You. #2. Lessons Learned Rolling out AI Agents to 16,000+ SMB brands with Gorgias CTO #3. From $1M to $3B ARR: Databricks CRO Ron Gabrisko on Scaling a Revenue Rocket Ship #4. The Arguments For Not Raising at a Unicorn Valuation #5. S-Tier AI is Coming For B-Tier Employees Top VIdeos and Pods: #1.
Years ago, I was in a board meeting and a VC dropped the expression: “you can’t eat IRR.” I’d never heard it before. It sounded catchy. But, honestly, I didn’t know what it meant. At first, I thought it was VC-ism. But then I learned the phrase was coined by the venerable Howard Marks of Oaktree in one of his famous investor memos.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
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Our industry needs to rethink product analytics best practices: Companies are flooded with data silos and errors from using many inefficient, fragmented tools. Teams rely too much on engineering resources to set up systems, implement a new flashy dashboard, and solve errors. Theres low-quality data everywhere, redundant tracking, and metrics that dont align with business objectives.
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