Outbound efforts often get lost in "Direct" traffic attribution, making it hard to prove their pipeline impact. This guide shows how to properly track outbound touches (cold emails, LinkedIn messages, paid ads, social links) to reveal true influence on deals and improve forecasting accuracy.
The content covers defining an outbound funnel with stages (touch sent → engagement → OQL → SAL → opportunity → revenue sourced/influenced), using UTMs consistently on every link (source, medium, campaign, content), separating outbound from inbound in reporting, capturing UTMs in CRM (HubSpot/Salesforce), and applying attribution models like first-touch, multi-touch, or pipeline influence for fair credit.
To gain visibility into outbound's real contribution to pipeline and revenue performance, check out the full guide here.
AI workflows succeed today when built around clear outcomes with trusted, curated data directly feeding AI agents—treating AI as the primary consumer instead of retrofitting legacy systems. Looking ahead, tomorrow's systems will be more autonomous, continuous, and embedded, demanding always-fresh context and strong governance.
The discussion highlights current wins with purposeful, integrated workflows, the shift to agentic master data management (like Syncari for real-time customer/account sync), and benefits for RevOps teams: reduced complexity, faster AI development, higher outcome confidence, and freeing humans for strategic decisions.
To prepare your data foundation for today's effective AI and tomorrow's autonomous agents in revenue operations, explore the complete post here.
By: Outreach.io
Variance analysis goes beyond "did we hit the number?" to uncover why results deviated from plan and what to fix before it's too late. In RevOps, it turns unexplained misses into actionable insights using leading indicators for 4-8 weeks of warning.
The post details:
For practical ways to diagnose gaps, improve forecasting accuracy, and drive revenue performance, read the full article here.
By: GTM Science - A show for GTM and RevOps leaders
Scaling from $2M to $60M ARR in three years requires disciplined investments and ruthless prioritization. Guest Kyle Norton (CRO at Owner.com) shares the key bets that drove explosive growth.
The episode covers AI experiments (e.g., AI call scoring boosting win rates 15 points), enablement frameworks (spaced repetition, Bloom's Taxonomy, 4I coaching), data-driven coaching to challenge assumptions, 5P expected value prioritization, simple tech stack until $10M ARR, talent density, and evolving the CRO role from tactical to strategic with cross-functional alignment.
Listeners will gain proven mental models and priorities for scaling revenue organizations predictably.
To learn what investments actually move the needle at hypergrowth, listen to the full episode here.
Compensation plans are one of the most powerful levers for shaping GTM behaviors and company performance. Guest Ryan Milligan (CRO at QuotaPath) explains how to design dynamic comp structures that align sales, marketing, CS, and RevOps around strategic goals.
Topics include accelerators and deal-level kickers to change behaviors, annual planning calendars, variable comp splits across roles, SDR balance of quantity/quality, 90% quota attainment target, "spike test" success (15% to 80% multi-year deals), and why RevOps leaders are well-positioned to own comp as their most strategic project.
Listeners will walk away with tactics to use comp plans as a year-round revenue driver for better alignment and performance.
To discover how to craft comp plans that truly move the business forward, tune into the discussion here.
By: The Operations Room: A Podcast for COO’s
AI in GTM often stays experimental without real revenue impact. Guest Donna McCurley (Creator of AI Sales Operating System™) shares practical ways to integrate AI tools like Copilot and ChatGPT with platforms (Gong, SalesLoft) to cut admin work and triple pipeline coverage.
The episode covers building coherent AI workflows, assigning ownership to avoid fragmented rollouts, implementing governance and change management, stripping complexity from bloated stacks/playbooks, and shifting RevOps to oversee AI as a unified system for measurable outcomes.
Listeners will get a roadmap to move from tool experimentation to systemic adoption that drives revenue.
For actionable steps to make AI a true GTM engine, check out the full episode here.
By: RevOps Co-op ft. BackEngine
Revenue leaders lose sleep over surprises (slipping deals, weak renewals, bad hires), not bad news itself most surprises are predictable and preventable. This February 26, 2026, webinar features Scott Leese, Victor Vatus, Eli Portnoy, and Rafaella Fontes sharing an anti-surprise framework.
Key topics include: risks in hiring (interview vs. performance-based), onboarding (teaching vs. enforcing playbooks), execution drift, and early risk detection across prospecting to post-sales for predictable outcomes.
Attendees will gain practical tools to eliminate costly surprises, boost forecast accuracy, credibility, and peace of mind in revenue leadership.
To learn how to make execution predictable and stop the surprises, register for the session here.
The RevOps Co-op community is expanding to Spain with its first local chapter launch. This relaxed happy hour on March 10, 2026 (6:00 pm CET in Madrid, exact spot TBD) is an operator-first gathering to kick off ongoing programming.
Expect informal networking with Revenue Operations, Sales Ops, Marketing Ops, and GTM leaders shaping modern revenue teams, no presentations, just good conversation and connections in the Madrid ecosystem. In partnership with Remuner, it includes future local meetups, private Slack channel, and peer matching.
To join the founding members of the Spain Chapter and connect with local RevOps peers, register via the event link here.