A few CustomerXCons ago, there was a talk featuring a CMO. This CMO did a great job of describing her evolution to the C-Suite. The big takeaway was that executives exist in a different world when it comes to communication style, attention magnets and organizational demands. At some point, she asked the audience how many had aspirations of becoming a CMO. More than half raised their hands!
This post is all about getting in sync with how your executives think and work, whether that’s to further your career or to get what you need to run an effective, and appropriately valued CMA program. It’s about thinking differently, not just doing more.
The transition from contributor or line manager to strategic leader is marked by a shift in mindset, behavior, and visibility. And in customer marketing, the leap is especially nuanced. It’s not just about producing impressive numbers of things (peer reviews, case studies, new advocates, etc.)—it’s about becoming an widely acknowledged driver of business outcomes.
In this post, we’ll explore the five core mindset shifts needed to move from tactical execution to strategic leadership—and how you can apply those shifts to elevate your program and transform how executives perceive it, and you.
1. From Tasks to Outcomes
Managers measure success by activities completed. Executives measure success by business results.
That means shifting your focus from how much you’re doing to how well it moves the business forward.
2. From Team Goals to Company Goals
An executive doesn’t just ask, “Is my team performing?” They ask, “Are we helping the company hit its top priorities—revenue, retention, market position?”
3. From Function-Specific to Cross-Functional
Executives break silos. They don’t think in terms of "my lane"—they think in terms of impact across GTM, product, customer success, finance, and operations.
4. From Input to Influence
Managers support and contribute. Executives shape direction. They anticipate needs, guide decisions, and influence strategy—not just execute it.
5. From Reporting Activity to Telling a Business Story
Executives don’t want raw metrics. They want context. Insight. Implication. Leaders know how to synthesize data into a narrative that answers: “Why does this matter?”
So how does this apply to CMA program managers? If you want to move from being seen as a dependable executor to a strategic colleague, here’s how to apply those five shifts directly to your program and your role.
Shift 1: From Activities to Business Outcomes
Don’t just report how many advocate requests were fulfilled or content items published. Instead, connect those actions to pipeline influence, win rates, customer health, or deal velocity.
How to show it:
Shift 2: From Program Goals to Company Goals
Frame everything your program does in the context of growth, retention, and expansion. Show how customer voice is not just supporting sales—but unlocking trust, reducing friction in the buying process, and reinforcing value at renewal.
How to show it:
Shift 3: From a CMA Program to a GTM Growth Asset
Position your program as a scalable, cross-functional capability that touches marketing, sales, CS, and product. Show how it helps not just individual teams, but the whole go-to-market engine.
How to show it:
Shift 4: From Program Contributor to Strategic Advisor
Start asking—and answering—bigger questions:
When you think like this, you’re not just running a program—you’re informing GTM strategy.
Shift 5: From Metrics to Executive Narrative
Replace the laundry list of activities with clear, concise storytelling that connects your efforts to executive priorities. Avoid disconnected, arbitrary vanity metrics. Focus on strategic impact.
How to show it:
All of this probably sounds like the right thing to do. And it is.
But chances are you’re barely keeping up with the activity side of the job—sourcing speakers, sales reference requests, campaign coordination, data management, and one-off “can-you-help-with-this” Slack messages.
Shifting from execution to executive-level thinking can feel unrealistic. But it doesn’t have to be a monumental leap. Start by taking smaller, intentional steps—and keep at it.
Begin with the executive who holds the most influence over your program.
What do they care about right now—pipeline growth, renewal rates, analyst perception, team efficiency? Learn what makes them tick. Then, start feeding them one insight at a time that speaks to their priorities.
Keep going, month by month. Expand the narrative. Grow your relevance.
With persistence and discipline—traits every exec needs—you’ll build credibility as a useful advisor, not just a program manager.
Eventually, you’ll earn the right to make the case: “I can do even more of this if I had more time.”
That’s how you get budget. That’s how you get backing. That’s how you change your role—from support function to strategic leadership.
It’s not common to find CMOs who came up through customer advocacy or customer marketing. But frankly, it should be.
You already have what most execs spend years trying to gain: a deep, nuanced understanding of your customers—what they care about, how they think, what makes them trust.
That’s not just valuable.
It’s a requirement of C-Level leadership.
It's only natural that many advocacy leaders have landed on the same objective: make the program easier to use by meeting users where they're already working.
Today, that increasingly means Microsoft Copilot, ChatGPT, Claude, Gemini or whatever generative AI assistant employees happen to have open.
Imagine a salesperson simply asking AI, "Find me three German healthcare customers using product Y, willing to speak with a prospect," instead of navigating to another interface, or waiting for someone from advocacy, or elsewhere, to respond. It's easy to see the appeal. Removing friction has always been one of the fastest ways to increase adoption.
It is exactly the right instinct.
The difficult parts, arguably the reason program managers exist, occur before and after AI says, "Here are your three best matches."
The value advocacy professionals bring is the ability to operationalize and scale customer advocacy for maximum impact. Quality advocate information doesn't just appear, it's the result of a system.
Now that the user has three advocates, what should happen?
Notice what happened. The search was completed.
The next steps are just as manual as ever if AI search is the be all, end all.
Reality Check
AI can tell you who could participate. It can't tell you who should participate unless someone (or something) has been keeping score.
This is where the story starts to feel strangely familiar.
Many companies still operate their program using spreadsheets, scattered CRM fields, shared drives, email folders, and the remarkable memories of a handful of program managers.
Eventually, organizations realize they aren't managing an advocacy program at all. They're managing lists that happen to contain advocates.
But the shortcomings are real:
Purpose-built advocacy platforms emerged because advocacy is much more than a search problem.
Ironically, AI has convinced some organizations to revisit the same shortcut they worked so hard to escape.
Let's imagine two different worlds.
In the first, AI recommends an advocate for a sales call.
Months later, AI knows this customer recently participated and may deserve a break before being asked again.
Now imagine the second world.
Three months later someone asks how many customer reference contributed to the revenue this quarter.
Silence. Nobody really knows.
The advocacy happened...hopefully. The program didn't. Collectively, the organization slowly stopped feeding the very system it depended on to understand its advocacy program.
Reality Check
If AI helps facilitate twenty closed-won opportunities this quarter, but none are recorded, your executive dashboard still says zero.
One of the easiest mistakes to make in an AI-first world is assuming that successful interactions somehow become organizational knowledge on their own.
They don't.
If a customer agrees to speak with a prospect and nobody records it, the organization loses far more than a single activity.
The most valuable advocacy data isn't simply who your customers are.
It's everything they've done.
That's the story AI actually wants to read.
It's often said that AI needs good data.
That's true.
But operational history is far more valuable than static customer information.
Those aren't search results.Those are patterns.
Remove any one of those pieces and AI becomes little more than an exceptionally fast search engine.
Reality Check
Every workflow skipped today is a pattern AI won't discover tomorrow.
The AI revolution has created tremendous excitement, and rightly so. Finding the right advocate is becoming dramatically easier than it was only a few years ago.
That's worth celebrating.
Just don't confuse a better search experience with a better advocacy program. Search is only one chapter in the story.
The organizations that see the greatest return from AI won't necessarily be the ones with the most sophisticated models.
They'll be the ones with the richest operational history.
Those organizations won't use AI merely to answer the question, "Who should we ask?"
They'll use AI to answer far more valuable questions.
That's when AI stops behaving like a better Google search.
That's when it starts behaving like a strategic partner.
Finding the right advocate has always been the opening scene.
If your AI can find advocates but your program can't learn from using them, you've built a remarkable search engine instead of a remarkable advocacy program.
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