There’s a decision being made right now in boardrooms and budget reviews across the tech industry. A spreadsheet gets opened. A function gets labeled “non-revenue generating.” A team gets cut.
It feels like discipline. It is actually self-sabotage.
The Cut No One Questioned
Under the banner of operational efficiency, companies are eliminating Competitive Field Intelligence functions and paying for it in lost deals.
Competitive Field Intelligence is a term worth defining, because it describes something more specific than traditional competitive research. It’s not a team that produces battlecards and updates a portal. Competitive Field Intelligence (CFI) that impacts revenue are senior competitive strategists embedded directly in lives. They are running war rooms, advising sellers one-on-one, and navigating complex competitive dynamics in real time. The “field” is the key word: this is intelligence applied at the point of impact, not delivered in advance and hoped for the best.
Most organizations don’t operate this way. They treat competitive work as a content function that creates static assets, training sessions, and conducts background research. Support work. Not pipeline. Not revenue.
That assumption is wrong. And it is costing companies deals.
Here’s what that assumption misses: when Competitive Field Intelligence is embedded directly into high-stakes opportunities, the work looks nothing like “support.”
The results don’t look like it either.
One tech company that embedded Competitive Field Intelligence directly into its sales cycle saw results that are hard to ignore. The CFI team provided direct 1:1 deal support on more than $100M in pipeline. Win rate on those opportunities where CFI was involved was north of 80%.
And against one specific competitor, historically a difficult matchup,deal strategy reviews with CFI involvement drove near double-digit improvements in win rate.
These are not the numbers of an administrative function. They are the numbers of a revenue engine.
You’re Measuring the Wrong Game
The problem isn’t performance — it’s how performance gets measured.
Most organizations track the wrong things: assets created, pages updated, training sessions delivered. When you measure a function that way, it will always look like overhead.
But here’s what actually happens when a competitive expert sits in a $10 million war room:
They’re not handing over a PDF. They’re reframing a competitor narrative before it takes hold in the prospect’s mind. They’re surfacing the unspoken risk, the procurement stakeholder no one mentioned, the incumbent’s quiet relationship with the CFO that never shows up in a CRM field or a slide deck. That’s not a deliverable. That’s a skill applied live, under pressure, in service of a specific outcome.
Measure the delta. The difference between your baseline win rate and the win rate when a competitive expert is embedded in the deal. That number tells the real story.
AI Won’t Save the Deal
When costs need to come down, AI looks like an elegant solution. Scrape a competitor’s website. Summarize an earnings call. Generate a battlecard overnight.
The output is fast. It is also insufficient.
Here’s the situation AI cannot handle that comes up time and time again: It’s late in a competitive deal. The prospect has just come off a call with your strongest competitor, and something shifted. The energy is different. A champion who was vocal is suddenly quiet. A decision criterion that wasn’t on the table last week is now front and center.
An AI tool will give you a refreshed competitive summary. A seasoned CI practitioner will recognize what just happened and help your team respond to it.
AI summarizes history. It does not read the room.
It cannot navigate the gray space of public-sector or regulated deals where the real decision-makers aren’t listed anywhere. It cannot identify when a competitor is running a specific play and counter it. It cannot tell the difference between a prospect who is genuinely evaluating and one who is already gone.
If your competitive strategy relies on a system repeating static content back to a seller, you have already ceded the advantage.
The Real Question
It’s time to stop asking how much these teams cost.
The right question is: how much does it cost to lose the deals they were helping you win?
When we measure Competitive Field Intelligence, we should be looking at the data that proves a shift in revenue trajectory. Specifically, we should be measuring:
- Win-Rate Lift: The percentage increase in win rates on head-to-head matchups where a strategist was embedded versus deals where the sales team relied solely on self-service assets and AI.
- Cycle Acceleration: The reduction in the “days-to-close” for competitive deals when a strategist is neutralizing a competitor’s narrative in real-time, preventing the deal from stalling.
- Competitive Pipeline Velocity: The rate at which competitive opportunities move through the funnel and convert to revenue compared to the baseline for that specific segment or vertical.
When the data consistently shows that CFI nvolvement is what changes the outcome of high-value pipeline, the label “support” is not just inaccurate. It is dangerous.At scale, the math is straightforward. Budgeting for “efficiency” is expensive when it costs you the win.