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Choosing the Department for Customer Advocacy Program Success
Graphic of silhouetted professionals with stars over one person's head illustrating the customer advocacy program manager.

Choosing the Department for Customer Advocacy Program Success

“Where should a customer reference program live?” We get asked this question frequently during our sales process. A prospective client recognizes the “customer reference problem,” and the need to put some focus on fixing it, but isn’t sure what department the customer reference program should call home.

Ten years ago, the vast majority of customer reference programs fell into the marketing department. Today, a little less so. One of the big changes over the last decade is the rise of the customer success function, which can dovetail nicely with customer advocacy. We also have clients who determined their program fits better into Sales Operations or Product Marketing.

The “right” home for the customer reference program depends on how the function is classified. Is it actually customer marketing, field enablement, PR, or customer experience? The answer to that question is founded in the program’s end goals and metrics used to determine if those goals are being achieved.

When we’re asked for a definitive answer, a best practice, we answer with a few questions:

  • Which leader is most passionate about customer advocacy?
  • Does the program “fit” with that leader’s other focus areas?
  • Does that leader have the bandwidth to champion a newly formed function?
  • Does that leader have a budget?

Passion

If the leader overseeing the customer reference function isn’t a believer, then the only way the program will succeed is if the program manager is passionate, influential, and a real go-getter. Still, it’s going to be an uphill battle without someone with a seat at the leadership table who is all-in.

Synergy

We see programs that reside in a department where it is the outlier struggling to get traction. The program managers may attend department meetings and find they have little in common with their teammates, and feel isolated. It feels like they’re in a silo, there’s no synergy. Of the possible home base departments listed earlier, we tend to find product management to be the least successful option. Yes, product management does establish relationships with customers through beta testing, and possibly through customer advisory boards. But those intersections are too sporadic for most customer reference programs to thrive when located in product management.

Bandwidth

A leader may have great intentions,  but if they have a full plate of other initiatives/responsibilities, they won’t be able to provide the necessary executive support. Leadership’s vocal and visible support can make all the difference when a program needs help with backing changes in process, policy, and behaviors. For example, the customer reference program may need IT support, which can be hard to come by, or inter-departmental coordination glitches may require leadership to articulate the end goal of collaboration and customer experience. If leadership doesn’t have the time to advocate for these needs, the customer reference program will flounder.

Budget

It’s ideal for a customer reference program to have a discrete budget for staff, technology, and potentially, contractors. Getting budget allocations ahead of producing results requires a leap of faith and vision. That tends to be leadership’s domain, a reason they are in strategic positions. A customer reference program without the necessary resources to recruit customers, manage access, and engage internal stakeholders is likely to fail.

In conclusion, be sure your company gives these considerations sufficient deliberation before moving forward with a customer reference program initiative. Our experience is that these variables make all the difference between a program that thrives or merely exists. These same considerations come into play if the original executive sponsor departs. The replacement may have very different views and priorities. An executive change should prompt a re-evaluation of the program’s home, always with an eye toward providing the best chances of success for the program, and therefore its stakeholders, including sales, marketing, PR, demand gen, events, and more.

It Started With a Legitimate Aspiration

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.

What's Next?

Now that the user has three advocates, what should happen?

  • Should they email the customer directly?
  • Should they contact the Customer Success Manager first?
  • The account executive for one of the accounts was about to make a request. Was that considered?
  • Has anyone noticed that this customer has already participated in three activities in the last 60 days?
  • Are they currently navigating a difficult support issue?
  • Did they recently decline another invitation?
  • Would someone else actually be a better choice?

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.

Haven't We Seen This Movie Before?

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:

  • A spreadsheet might tell you that Sarah from ABC Company has spoken at a conference. It couldn't tell you that she'd spoken three times already this quarter.
  • Custom CRM fields could tell you a customer was referenceable. They alone couldn't coordinate approvals, notify relationship owners, recognize participation, measure outcomes, or attribute revenue.

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.

When Search Replaces Process

Let's imagine two different worlds.

In the first, AI recommends an advocate for a sales call.

  1. A request is automatically created.
  2. The Customer Success Manager approves participation.
  3. The customer receives preparation materials.
  4. The call takes place.
  5. The activity is recorded.
  6. Recognition is issued.
  7. The opportunity is linked to the advocacy activity.
  8. If the deal closes, revenue attribution updates automatically.
  9. Executive dashboards reflect the contribution.

Months later, AI knows this customer recently participated and may deserve a break before being asked again.

Now imagine the second world.

  1. AI recommends the same advocate.
  2. The salesperson sends an email.
  3. The customer agrees.
  4. The meeting happens.
  5. Everyone moves on.

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.

Invisible Work Stays Invisible

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.

  • It loses context, attribution, and recognition.
  • It loses another piece of history that could have helped improve the next decision.

The most valuable advocacy data isn't simply who your customers are.

It's everything they've done.

  • Every request, acceptance/decline, event presentation, analyst interview, product beta, reference call, press interview, reward, closed-won opportunity revenue influenced by their participation.

That's the story AI actually wants to read.

AI Needs Memory, Not Just Data

It's often said that AI needs good data.

That's true.

But operational history is far more valuable than static customer information.

  • Advocate profiles answer questions about who someone is.
  • Operational history answers questions about what consistently works.
  • That's where AI begins uncovering insights that no spreadsheet could ever reveal.
  • Perhaps healthcare advocates participate twice as often as financial services advocates.
  • Perhaps customers who join advisory boards are twice as likely to become conference speakers.
  • Maybe advocates who receive recognition within a week participate significantly more often than those who don't.

Those aren't search results.Those are patterns.

  • Patterns emerge from history.
  • History emerges from process.
  • Process emerges from systems.

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.

Don't Stop at "Who?"

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.

  • Every request becomes institutional memory.
  • Every activity measured.
  • Every contribution attributable.
  • Every outcome becomes another lesson AI can learn from.

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.

  • "Where are we running short of advocates?"
  • "When is the most effective time to use advocates?"
  • "What types of advocacy generate the greatest business impact?"
  • "What patterns have we been missing?"

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.