Blog Posts:
The Great Sales AI Awakening: Inside The First Gartner® Magic Quadrant™ for Revenue Action Orchestration [Blog]
Why do revenue teams still react instead of predict despite AI investments? The first Gartner Magic Quadrant for Revenue Action Orchestration (RAO) recognizes a new category uniting sales engagement, revenue intelligence, and automation to connect silos and enable proactive workflows.
Clari positions as a Leader in this inaugural evaluation. The report highlights fragmented data challenges (67% of revenue leaders distrust AI-reliant data in 2025), the need for simplified AI adoption (high AI-skilled sellers are 3.7x more likely to hit quota but only 7% of the population), and a two-year competitive window before RAO mainstreams. Clari + Salesloft delivers unified orchestration ingesting 1T+ signals for 98% forecasting accuracy, 398% ROI in under six months, 2x win rates, and 20% cross-sell/upsell gains.
To understand how RAO platforms drive predictive revenue and RevOps maturity in B2B SaaS, read the full analysis here.
Turning GTM Complexity Into Operational Confidence: What High Growth Teams Do Differently [Blog]
High-growth B2B teams turn GTM chaos into confidence by treating execution as an end-to-end system rather than isolated tactics. This article outlines why fragmented signals, ownership shifts, and lack of auditability stall scale, with examples like only 36% of intent accounts worked and seven-day response times.
High performers adopt five habits:
- Centralize signals in Salesforce with orchestration layers for routing and notifications
- Tier accounts for prioritization (immediate outreach for tier one, sequences for tier two)
- Enforce SLAs systemically (e.g., 15-minute high-intent responses via Slack/dashboards)
- Build auditability with logs to trace failures and restore flow
- Tie execution to revenue context through automated campaign membership and attribution
For strategies to reduce blind spots and boost GTM efficiency in scaling operations, explore the complete post here.
Why Multi-CRM Environments Create Chaos [Blog]
Multi-CRM setups from M&A, regional preferences, or specialization fracture data and break workflows, eroding RevOps trust and revenue predictability. Inconsistencies create conflicting records (e.g., "Active" in one system, "Churned" in another), broken automations, silent leaks, unreliable forecasting, and governance risks amplified by AI.
Impacts include manual reconciliation, IT bottlenecks, decision friction, and stalled innovation. Traditional MDM fails with latency and rigidity; Agentic MDM offers real-time sync, autonomous conflict resolution, flexible architecture, low-code deployment, and collaborative governance for unified visibility.
If multi-CRM chaos hinders your revenue performance, check out the full guide here.
Podcast Episodes:
Turning GTM Plans into Real Business Impact with Pedrum Khosravi Senior Director of Growth Operations at Paytient [Podcast]
GTM strategies often stay theoretical without strong ties to measurable outcomes. Guest Pedrum Khosravi shares how RevOps bridges the gap by building usable revenue models, mapping initiatives to KPIs, using AI for data enrichment and handoffs (e.g., in HubSpot), and taking calculated risks for outsized impact.
The conversation emphasizes aligning operations with growth, leveraging RevOps to turn plans into tangible business results through data-driven execution and cross-functional accountability.
For actionable ways to connect GTM to revenue performance, listen to the full episode here.
Metrics That Matter Across Sales, Marketing & CS-with Sarabeth Scott, SalesOps @Camber Partners [Podcast]
Board reporting demands consistent, contextual metrics over dashboards alone. Guest Sarabeth Scott discusses aligning sales, marketing, and CS metrics for strategic insight, with RevOps owning the narrative.
- Sales: quota attainment, pipeline coverage (context over rules), rep productivity, capacity planning
- Marketing: pipeline generation/quality, outbound efficiency, source segmentation
- CS: health scores (beyond easily gamed NPS)
Benefits include unified reporting, better board-level storytelling, and RevOps as the connector of data, strategy, and AI-enabled foundations.
To improve cross-functional alignment and forecasting through shared metrics, tune into the discussion here.
From SEO to GEO: Winning digital visibility in the AI-first era [Podcast]
By: OnBase: Smashing Sales and Marketing Misalignments by Demandbase
Search evolves to AI-driven generative engines, shifting from traditional SEO to GEO for visibility. The episode covers zero-click search, schema markup, trust-building content, and conversational optimization to stay discoverable in buyer research.
Strategies focus on content that performs in generative results, conversion-focused sites, and adapting GTM/digital tactics for AI-first environments to sustain lead gen and revenue impact.
For RevOps and marketing teams navigating AI search changes, check out the full episode here.
Webinars:
Architecting MarTech 2026: Taming the Agentic Wild Card [Webinar]
By: RevOps Co-op ft. CaliberMind
Agentic AI introduces powerful but unpredictable "wild card" behaviors in RevOps workflows. This session explores safe adoption, risk management, testing protocols, and governance to harness autonomy without chaos.
It covers real-world implications for revenue orchestration, balancing innovation with control, and preparing teams for agentic systems in forecasting, pipeline, and execution.
To tame agentic AI for reliable RevOps gains, register or watch the event here.
How High-Performing RevOps Teams Turn Competitor Signals into Pipeline [Webinar]
By: RevOps Co-op ft. HG Insight
Competitor data like install base, usage intensity, and renewal timing reveals high-propensity accounts often missed by static ICPs. This March 4, 2026 (1:00 pm ET) live session shows how to build lists from real adoption signals, prioritize switches/expansions, and design takeout motions for measurable pipeline.
Topics include reverse-engineering targets, coordinating sales/marketing workflows, and converting signals into near-term opportunities for sharper GTM precision.
To transform competitor intel into actionable pipeline, join the live demo here.
