Tag: Revenue Operations


  • ROI Growth Experiments: The Data-Driven Way to Win

    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,…

  • How to Build Predictable Revenue With Signal Clarity

    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.

  • The Ultimate B2B Revenue Metrics Guide for Leaders

    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…

  • Marketing vs Growth Strategy: Simple Moves That Drive Results

    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…

  • Sales Ops Case Study: From Chaos to Repeatable Growth

    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.