60% of CSOs Say Revenue Is Out of Their Control

Gartner's CSO Report for the third quarter of 2026 has one line that every sales leader will recognize: 60% of chief sales officers say revenue is driven by factors outside their control.

It sits inside what Gartner calls a productivity paradox. Years of spending on tools, technology and talent have not produced the gains boards expected. AI was meant to break that, and so far it mostly has not. In the 2Q26 edition, 88% of CSOs said their AI initiatives met or exceeded expectations, yet the gains were largely incremental, and 70% said they are personally accountable for the return on sales AI. Boards want growth without more headcount, and CSOs feel the outcome is decided somewhere else.

Some of that feeling is accurate. A lot of it is not.

What "outside our control" usually means

When sales leaders say this, they tend to mean three things.

• The market. In the 2Q26 report, 62% of CSOs named macroeconomic volatility as the top barrier to their priorities, and 48% said they struggle to adapt plans when the business context changes.
• The buyer. Buyers do most of their research alone, with AI tools summarizing vendors for them. By the time they talk to a seller, the shortlist often exists.
• Demand itself. Gartner lists "demand ceilings" first among the constraints that cap sales productivity, ahead of fragmented systems, limited manager capacity and poor decision quality.

The first one really is outside your control. The other two are only partly outside it, and the part you can control is bigger than most pipeline plans assume.

The demand ceiling is lower for cold outreach than for trust

A demand ceiling is the point where adding more activity stops adding pipeline. More sequences, more MQLs and more SDRs hit the same wall: buyers who are not actively looking do not answer strangers.

That ceiling is not the same for every channel. A senior buyer who ignores cold email still takes a call when someone they trust asks them to. The buyer is the same and so is the market. What changed is who is asking.

That is the input a CSO does control. Every company already has relationships into its target accounts:

• Employees and executives who used to work at, sell to, or went to school with people at those accounts.
• Customers and champions who know peers at the companies you want to reach.
• Investors, board members and advisors who sit on boards and portfolios next to your buyers.
• Partners who already work inside the accounts you are chasing.

Most of those relationships never get used. Nobody knows they exist, nobody owns asking for them, and the connector has no easy way to say yes. That is a design problem, not a market problem.

Make the network a managed pipeline input

The same report gives the blueprint, even though it is not written about networks. Gartner tells CSOs to stop layering AI on top of broken processes and fix the constraint underneath. CSOs who do that are 2.7x more likely to exceed commercial targets, including conversion from lead to opportunity. Applied to the network, that means four things.

1. Put relationship data in the context layer. Gartner recommends a centralized context layer, run by revenue operations, that connects company data, systems and human judgment. Most context layers hold CRM records and activity data. They rarely hold who knows whom. Without that, an AI can tell a seller which account to work but not who can get them in.

2. Measure intent you can verify. In the 3Q26 report, 51% of CSOs said sales and marketing disagree on what a high-quality lead is, and Gartner warns that MQLs often reflect "superficial interest rather than real buying intent". A warm introduction is the opposite. A person the buyer trusts asked them, and they agreed to the conversation. Count intros requested, accepted and converted to meetings next to your other pipeline sources. More on this in From MQLs to buying groups.

3. Give someone ownership. Gartner found that organizations with a formal go-to-market council that collaborates on targets are 2.1x more likely to hit revenue and profit goals. Network pipeline needs the same treatment: a named owner, a target account list it serves, and a weekly review of which paths were asked for and what happened.

4. Make the ask easy and keep it consensual. The fastest way to burn a network is to spam it. The connector should see who is being asked for, why now, and a draft they can edit, then send it from their own account or decline. Nothing goes out in their name without them.

What this looks like in practice

This is the motion Boomerang was built to run. Rudy, Boomerang's AI agent, maps the relationships your team, customers, investors and partners already have into your target accounts, scores the strongest path, and drafts the ask. The connector reviews it and sends it themselves. Rudy never sends on anyone's behalf. Outcomes are written back to Salesforce, HubSpot or Attio, so network pipeline shows up in the same forecast as everything else.

At Armis, that meant 26,000 warm paths into target accounts and 10x ROI on revenue booked in the first year.

The market will still move, and buyers will still research alone. But who can get your sellers a meeting in a target account is not a factor outside your control. It is an asset most companies have and few manage. Start with the go-to-network motion, or book a walkthrough to see the paths into your own accounts.