On December 15, 2025, Gartner published its inaugural Magic Quadrant for Revenue Action Orchestration. If you missed it, you're not alone. The category is new enough that most sellers I talk to don't have a name for it yet, even though every one of them is buying something in it.
RAO is the biggest category-restructure Gartner has done in sales-tech in five years. It folds together what used to be two separate MQs — Sales Engagement (Outreach, Salesloft) and Revenue Intelligence (Gong, Clari) — into one consolidated category, on the theory that a modern GTM stack needs signals, guidance, and execution to sit in one place, not three.
This piece is the plain-English explainer of what RAO is, who Gartner named in it, why the category exists, and how the RAO thesis intersects with an adjacent problem the same market is trying to solve — relationship signals and warm-source pipeline generation.
What Gartner means by "Revenue Action Orchestration"
Adnan Zijadic, who led the RAO MQ, defines the category around three functional pillars:
- Revenue signals. Aggregating buyer signals — email, calendar, calls, product usage, intent data, CRM activity — into a single stream that can drive action.
- AI guidance. Turning those signals into next-best-actions the seller can execute.
- Execution orchestration. Actually running those actions across email, phone, LinkedIn, and CRM — with cadence tracking and feedback loops.
The consolidation is the point. Previously, a modern rev-ops leader had to buy at least three tools to get signals in one, guidance in another, and execution in a third. RAO's promise is that the three merge, so the guidance is signal-aware and the execution is guidance-aware.
Whether the merger actually works is a question worth an entirely separate post. The category, at least on paper, exists to solve it.
Where RAO came from
Two separate Gartner MQs were retired to make room for RAO:
- Sales Engagement Platforms — the old outbound execution category, led by Outreach and Salesloft, with Apollo and Groove downstream.
- Revenue Intelligence Platforms — the newer signal + guidance category, led by Gong and Clari.
The overlap between these two markets got obvious around 2023. Gong shipped Engage. Outreach shipped forecasting. Salesloft shipped Rhythm (their signal orchestration layer). Clari acquired Wingman. All four vendors, plus Chorus (owned by ZoomInfo), spent two years building the other side of what their competitor was best at.
Gartner watched the convergence and decided the underlying job — orchestrate revenue-generating action — was one job, not two. RAO is the resulting single category.
The formal announcement came in the Hype Cycle for Sales Transformation press release on October 30, 2025, followed by the inaugural MQ on December 15, 2025.
Who's in the RAO MQ
Per vendor claims and public discussion of the MQ (Gartner MQs are paywalled and vendors typically announce their own placements), the RAO field includes:
- Gong
- Clari
- Outreach
- Salesloft
- Aviso
- BoostUp
- People.ai
- Revenue.io
- Groove (Clari)
Public statements from the top of the market suggest Gong, Clari, and Outreach are positioned as Leaders in the inaugural quadrant. Beyond that, the placements are proprietary until vendors self-disclose.
The interesting part isn't the placements — it's what the field has in common. Every vendor named above optimizes seller execution against buyer engagement signals already present in the deal. None of them focus meaningfully on relationship signals — the connections a seller has outside of the current deal that could accelerate it.
That gap is where the RAO category story gets interesting for buyers.
What problem RAO is actually trying to solve
Gartner's framing of RAO is a response to three trends they've been publishing on for two years.
Trend 1: sellers are drowning in fragmented tools. Seventy-two percent of sellers feel overwhelmed by the number of skills they need, and overwhelmed sellers are 45% less likely to attain quota (Gartner). Part of the "overwhelm" is a tool sprawl problem. Consolidating signals + guidance + execution in one system is a partial fix.
Trend 2: AI has to be embedded in workflow, not sold as a feature. By 2027, 95% of seller research workflows will begin with AI (Gartner). If AI is starting every workflow, it needs to be inside the tools sellers already use — not another dashboard.
Trend 3: revenue outcomes have to be attributed to specific actions. Sales orgs providing AI-enabled next-best-actions are 2.6× more likely to achieve commercial growth (Gartner, https://www.gartner.com/en/newsroom/press-releases/2026-05-20-gartner-survey-finds-sales-organizations-that-provide-ai-enabled-next-best-actions-are-two-point-six-times-more-likely-to-achieve-commercial-growth). The 2.6× multiplier is one of the largest Gartner has attached to any sales-tech investment in five years. RAO's category-level pitch is that it's the platform where those next-best-actions actually get delivered.
The gap RAO doesn't cover: relationship signals
If you read the RAO MQ closely, one signal type is conspicuously missing.
Every vendor in the field aggregates buyer engagement signals — the emails the buying group opened, the calls the seller had, the intent data on the account, the product usage patterns. Those are all valuable. And they are all signals about the current deal.
None of the RAO vendors — Gong, Clari, Outreach, Salesloft, or the smaller players — treat the seller's external relationship graph as a first-class signal. Who does your CRO know at this account? Who does your investor board have connections to? Which of your customers has an ex-colleague inside the buying group who could unlock validation? These are the questions that drive warm-source pipeline generation, and they don't live inside RAO.
That's not a criticism of the category. It's a structural observation. RAO is oriented around what the deal is doing. Relationship signals are oriented around who the seller knows — and that's a different data model, a different graph, and a different set of actions to orchestrate.
Boomerang's category — relationship-signal orchestration — is RAO-adjacent. It runs on the same principle (signal → guidance → execution) but on a different signal set. The two categories complement each other more than they compete. RAO orchestrates in-deal action. Relationship-signal orchestration orchestrates the warm-source access that gets the deal to close.
How to think about buying an RAO platform
If you're a CRO or a rev-ops leader looking at the RAO category, three buying criteria matter more than the vendor debate.
One: signal breadth. Does the platform ingest not just email and calendar and calls, but also product usage, CRM activity, intent, LinkedIn, and third-party enrichment? Signal-breadth is what separates a Leader from a Niche Player in Gartner's framing.
Two: guidance credibility. AI-generated next-best-actions are only useful if sellers actually run them. Guidance credibility is measured by seller adoption — what percentage of AI recommendations the seller actually acts on. Gartner's 60% seller-adoption threshold is a useful minimum. Anything below and the guidance layer is dead weight.
Three: execution reach. Where does the platform actually run actions? Email is table stakes. Phone dialers matter. LinkedIn integration matters more than most buyers realize. And — increasingly — the ability to orchestrate cross-team actions (marketing plays, CSM outreach, exec touches) is where RAO Leaders will differentiate.
What RAO doesn't solve — and why an adjacent layer matters
Every conversation I have with a CRO who's evaluated the RAO category ends the same way. "We bought Gong and Outreach. It's better than what we had. But we still don't have visibility into who my team actually knows outside the deal." That is the exact gap RAO doesn't fill.
Ninety-five percent of your target buyers likely know at least one of your customer champions from a prior role, from school, or from the industry community. Sixty to eighty percent of that relationship signal never makes it into the CRM. RAO platforms don't ingest it because they're not built to. They're built to orchestrate the current deal's engagement, not the seller's external network.
That's the layer Boomerang builds. It sits alongside an RAO platform — ingesting the same underlying data plus 60-80% more that RAO ignores. Customers who run both layers together get 3-5× higher meeting conversion vs. cold and 25% higher win rates in enterprise accounts. Armis credits their 10× ROI on booked revenue partly to running the two motions in sync.
For more on how the relationship signal layer works, see our writeup on the four-pillar relationship graph.
What RAO means for the rev-ops function
RAO is a bet by Gartner that revenue operations, as a discipline, is going to consolidate. Fewer tools. More AI. More cross-functional orchestration. And more accountability for whether the AI-generated next-best-actions actually produced revenue.
If you're a VP of Revenue Operations in 2026, the RAO category is one of the biggest three purchases you're going to make. The question isn't whether to buy in the category. The question is which vendor to bet on, and what other layers you need alongside it to close the signal gaps the category itself doesn't cover.
For a broader view of where sales-tech is going, see our writeup on the 2026 Gartner Hype Cycle for Sales and what Gartner's Future of Sales 2025 report got right and wrong.
Frequently asked questions
What is Revenue Action Orchestration (RAO)? RAO is a sales-tech category Gartner formally introduced in October 2025 and published its inaugural Magic Quadrant for in December 2025. It consolidates revenue signals, AI guidance, and execution orchestration into a single category — the successor to the previously separate Sales Engagement and Revenue Intelligence markets.
Which vendors are in the RAO Magic Quadrant? Public discussion of the inaugural MQ includes Gong, Clari, Outreach, Salesloft, Aviso, BoostUp, People.ai, Revenue.io, and Groove (Clari). Leaders per vendor claims include Gong, Clari, and Outreach.
Why did Gartner consolidate Sales Engagement and Revenue Intelligence into RAO? The two categories converged in the market. Gong shipped execution. Outreach shipped forecasting. Clari acquired conversation intelligence. Gartner decided the underlying job — orchestrate revenue-generating action — was one job, not two, and merged the categories.
Who leads Gartner's RAO research? Adnan Zijadic leads the RAO MQ. He also authored the "Harnessing AI Agents in Sales" Q&A and the SPEED CRM readiness framework.
Does RAO cover relationship signals or warm intros? No, not directly. RAO vendors orchestrate in-deal engagement signals — emails, calls, product usage, CRM activity. Relationship signals — who the seller knows outside the current deal, who could open a warm door — sit in an adjacent category. Some organizations use RAO for in-deal orchestration and a separate relationship-signal layer for warm-source pipeline generation.
How does RAO relate to CRM? RAO sits on top of CRM. The CRM is the system of record. RAO ingests data from CRM, layers on AI guidance, and orchestrates execution. In most modern stacks, RAO is the primary daily interface for sellers, with the CRM as the audit layer.
