Kevin Cohen

ARR per Employee: One of the cleanest signals of operational efficiency in SaaS. Palantir has outperformed the control group every single quarter - and the gap exploded in Q3 2022. Today, they’re generating ~$1M in ARR per employee, while most of the market is still trying to scale headcount just to maintain growth. This is what elite efficiency looks like. Full story linked in the comments. #SaaS #Palantir #ARR #Efficiency #Scaling #TechMetrics #Productivity

RevOps isn't about juggling tools—it's about orchestrating them strategically. The most successful revenue operations professionals aren't those with the biggest tech stack, but those who: • Map tools to specific revenue bottlenecks • Focus on cross-functional data flow • Prioritize adoption over implementation • Measure impact through revenue metrics, not activity What's one RevOps tool you couldn't live without? #RevOps #RevenueGrowth #strategysimple, #leadgeneration, #growth, #simpleaudience, #intentdata

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Most rev tech reports the past. Predictive revenue changes the future. The Predictive Revenue System from Clari + Salesloft has three foundational layers that work together to create, convert, and close predictable revenue at scale. 🍰 1. The Base: All your revenue signals in one place. 🍰 2. The Middle: AI that spots risk and guides sellers with precise next steps.  🍰 3. The Top: Context from every call, email, and meeting — so AI can predict what happens next and how to win. Want a slice? 👉 https://lnkd.in/eA5ATkNq   

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Revenue rarely breaks in one obvious place. Forecasts stop aligning. Handoffs slow. Confidence in the data fades. A Revenue Operations consultant rebuilds the system behind growth. Shared definitions, clean data, and consistent reporting align sales, marketing, and customer success into one revenue model. Execution becomes predictable instead of reactive. Learn when hiring a Revenue Operations consultant creates clarity and scalable growth: 🔗 https://hubs.ly/Q0453gF-0 #RevOps #RevenueOperations #GTMStrategy #B2BGrowth #FullFunnel

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Fragmented GTM data slows everything down. Inconsistent metrics. Messy handoffs. Missed forecasts. High-performing RevOps teams fix this with a Unified GTM Data Layer that functions as a single source of truth across CRM, MAP, and product data. The payoff? Faster decisions, cleaner forecasts, and aligned execution. We break it down in our latest blog: https://lnkd.in/g5X-nRCk

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