Tag: Revenue Operations
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Growth leadership is not about shipping more experiments or celebrating green dashboards. It is about reconciling conflicting signals when velocity rises but revenue quality declines. Real growth leadership means owning decisions under uncertainty, aligning intent, behavior, and outcomes before money and trust are at risk.
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Most growth teams run “busy experiments” that look good on dashboards but don’t impact revenue. ROI growth experiments are different. They start with a direct connection to revenue, focus on measurable outcomes like CAC and LTV, and scale only when results prove repeatable. In this article, I break down why so many B2B tests fail,…
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Most teams think they have a forecasting problem—when in reality, they have a signal problem. In this article, I break down the Precision Revenue Stack™, a 5-layer framework that helps you turn chaotic CRM data into clean, confidence-building insights. If you want predictable revenue, start by fixing the signals you’re feeding your system.
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In ‘The Ultimate B2B Revenue Metrics Guide for Leaders,’ Richard Naimy delivers a comprehensive playbook for B2B executives, particularly COOs, on leveraging crucial revenue and pipeline metrics for sustainable growth. This guide moves beyond mere top-line revenue, delving into ‘growth anchors’ like ARR and MRR for precise projections, and differentiating between Bookings and Billings to…
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In ‘Marketing vs Growth Strategy: Simple Moves That Drive Results,’ Richard Naimy illuminates the crucial distinction between marketing and growth, a strategic understanding vital for any leader. The article introduces the ‘Process-Outcome Framework,’ where marketing orchestrates the communication process and brand experience, while growth relentlessly optimizes for business outcomes and profitability. Naimy explains that true…
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At MyEListing, I turned sales chaos into a repeatable revenue engine. I cut lead response from 48 hours to 4, improved pipeline hygiene from 60% to 95%, and nearly doubled conversion rates. By designing systems, enforcing accountability, and testing AI tools with discipline, I proved the ability to build scalable sales operations that investors trust.
