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Customer Marketers Can Drive Sales in Economic Uncertainty
Scene of open field with rain in the distance illustrating importance of customer marketing in uncertain times.

Customer Marketers Can Drive Sales in Economic Uncertainty

The tech industry is in chaos right now. In the context of customer marketing (CM), what do executives have on their minds? As a CEO, I know what’s important in challenging times. Simplification. Re-focusing on the fundamentals. In particular, we need to focus on fundamentals that are tangible, measurable, and contribute to our primary missions: customer retention and acquisition. The reality is that for better or worse, experimentation and related extraneous activities, people and tools tend to take a backseat. It’s fight, flight or freeze time. The question of the day? ‘What can we do today to bring in revenue this quarter?’

We have built our entire business on the idea that customer marketing supports the entire organization’s needs when it comes to amassing, maintaining and “deploying” our customer advocates to maximum benefit. The value to PR, events, social, community, IR, AR, digital and yes, executives (think earnings calls, joint speaking opportunities) is real and substantial. And yet, when economic anxiety grows, it’s back to basics, and near-term basics at that.

Customer Retention (+ Expansion)

CM’s role in this use case is to support the Customer Success or Account Management team. These people are measured on retention, it’s important. We all have customers who aren’t maximizing the value of our solutions for any number of reasons. In some cases it’s because they don’t have role models to emulate. Or, they may know what the end result should be, but aren’t able to execute. Know who can help? Successful customers. Connecting the struggling clients with those who are kicking butt may be the change agent needed. Suddenly the conversation isn’t about what your solution isn’t doing, but about how to get the most from your solution (i.e., as it was designed).

If a customer is on the fence about adding a new capability or an add-on feature/module, the problem is doubt. Will this addition be worth the effort and cost? Customer advocates to the rescue, once again.

Do your relationship managers think about the use of customer advocates for these situations? They may not. So all the program promoting you did with Sales and Marketing should be extended to this team. As always, the peer networking is truly appreciated by customers regardless of the catalyst. Customers might even be more eager to talk to a fellow customer than a prospect. Spread the word and help your customer success brethren meet their goals (and by default, the company’s goals).

Customer Acquisition

It’s hard to come up with anything quite as vital to a company’s health than sales. Retention ensures a base revenue stream, but that alone won’t catapult your company to new heights. It’s part of the formula. So, although the term “customer marketing” has not a hint of “sales” in it’s name, it is (or should be) high on a CM manager’s list of priorities.

Why are salespeople so well-compensated and treated with reverence by leadership? They are the engine that grows the company. Yes, they can be hard to corral, their attention spans fleeting and too often overly protected by leadership when it comes to communicating with them directly. But, they need CM—if it’s clear to them that you have something they need, and getting that something is not overly complicated and reliable.

Of all the things that fall into the CM bucket (community, digital, events, etc.), the most quantifiable element is advocates influencing sales. This includes demand gen where suspects become leads, become opportunities; and sales references where opportunities become revenue.

Working with Sales can be intimidating if you’ve never sold. So get to know their processes, their challenges, and translate into how CM can/should support them. This requires attending their team meetings, consulting with them on specific situations (e.g., big opportunities nearing the need for references), staying in tune with the “marching orders” issued by the Sales VP. Familiarity alleviates the sense of intimidation.

CM Priorities are Leadership Priorities

By understanding the headspace your executives are in during periods of economic anxiety you can endear yourself to the people making cost-cutting decisions. That said, they have to know that your priorities are theirs—don’t keep it a secret. One of our client program managers recently received a request from the CEO to make cuts and her response was to create a brief video explaining how the cut he was proposing would impact sales, marketing, and her ability to do her job effectively. She persuaded him to drop his request. This was a very clever way to get the CEO’s time, and present her case in a tangible way. Consider this approach as one of many “arrows in your quiver” for articulating how your program aligns to the CEO’s top imperatives. This blog highlights some other ways customer advocacy programs make CMOs look good.

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.