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Best Practices of Customer Advocacy Reward Programs
Receipt that says My Rewards Balance: highlighting how rewards have become a staple of customer advocacy programs.

Best Practices of Customer Advocacy Reward Programs

Rewards have become a staple of customer advocacy programs, but we find there’s still a lot of uncertainty about how to approach designing, promoting and maintaining them. Here’s our take on what to consider, and what’s worked and not worked based on work with our clients.

Why Consider a Rewards Program?

Before you go too far down the rewards path, make sure you can answer the question—Why are we considering this?—inevitably asked by those who hold the requisite budget.

On a personal relationship level, rewards are a means for showing gratitude to our customers. There’s plenty of debate around whether rewards are the reason for a customer doing an act of advocacy, or the post-activity “thank you.” The former is often frowned upon, viewed as “buying a reference.” In general, we don’t believe that most customers would participate, purely for the reward, if they didn’t feel confident or comfortable persuading peers to go with a vendor. That’s a lot of reputational risk, and integrity is an important currency in business.

Back to the key business question: what are the typical business objectives that make a case for a rewards program? It’s all about creating an ongoing relationship that not only encourages customers to use the product or service more frequently and broadly, but also fosters brand loyalty and positive word-of-mouth. That goodwill, managed effectively, translates to:

    • More compelling lead generation activities
    • Substantial influence on sales win-rates
    • Expansion existing customer footprint
    • Improved satisfaction, and therefore retention

All of which, we can agree, have  major implications for company growth.

What Rewards Resonate?

Once there is buy-in for the purpose of the program, it’s important that the right rewards—those that move customers to participate—are offered. Know your audience. The group least likely to have interest in conventional rewards are VPs and CxOs. The most active programs are comprised of directors, senior managers and managers—depending on your specific industry and buyer persona. Your program advisory board is a good source of insights; a solid starting point. If you don’t have a board, then consider an advocate survey. Some programs bucket customers with similar preferences into segments. But, we believe customers are ultimately individuals and a one size fits all—even in a segment—can be a fraught assumption, so better you get to know each customer’s preferences and store them in their profile. There are so many reward options, starting with the basics:

    • Product discounts (% or fixed amount)
    • Free or upgraded services (consulting, maintenance, support)
    • Tangible goods (branded merch, gadgets, and other gifts)
    • Exclusive access (advisory board membership, beta testing, VIP events)
    • Gift cards (store-specific, universal gift cards)
    • Charitable donations
    • Subscriptions (lifestyle services, fitness apps)
    • Public recognition / acknowledgement
    • Brand ambassador status

The only limit on unique, memorable rewards is your own imagination. Here are some outside-the-box ideas:

    • Private concerts
    • Meet-and-greet sessions with celebrities or industry notables
    • Workshops and classes (wine tasting, cooking, baking)
    • Travel experiences (all-expenses-paid, exclusive)
    • Adventure experiences (hot air balloons, diving, safari, biking tours)
    • Merchandise autographed by celebrities, authors, industry luminaries
    • Health and wellness (spa days, wellness retreats)
    • Educational courses (personal or career, like MasterClass)

Define Clear Rules

It’s important to think through the rules (and administration of those rules) of a rewards program because if there’s any mystery, the uptake is going to be undermined and all will be for naught. Although you might want to create a layered, gamified experience (badges, accelerators, tiers), always reduce complexity. Keep it simple and accessible to maximize participation.

Essential Communication

Your audience needs to know about the program before they can evaluate the benefits of participating. The initial announcements generate buzz and grab attention, but it’s the ongoing updates that ensure momentum. If customers are earning points, which can be redeemed for any of the items listed above, then they should be regularly informed of their point balance as well as their redemption options. This is no different than the updates you get from your credit card providers or favorite airlines. If you’ve ever had a hard time obtaining your rewards, take note. This is a real buzz-kill and must be avoided to achieve a positive customer experience.

Ensure Administration is Sustainable

The tracking of rewards can be a significant part of someone’s job. If you don’t have the bandwidth, then opt for a simpler, more manageable program. Better to be successful and simple than fail at what should be a satisfaction multiplier, not a hassle for your customers.

Keep Measurement Top-of-Mind

Observe how the behavior of advocates who participate in your rewards program is affected, in business terms. While feedback at a customer sentiment level is important, don’t lose sight of those business objectives. Your control group is comprised of either customers not in the advocate program in general, or those in the program who aren’t leveraging the rewards program. Both may be interesting to compare to those advocates who are taking advantage of reward benefits. Are you seeing an impact, such as?

  • Influence new sales –Are rewards resulting in more participation in lead gen activities, and in improved win rates?
  • Retention – Do you find there is a higher retention rate?
  • Expansion – Are you finding increased spending rates?
  • Improve satisfaction – Is the average satisfaction score higher?
  • Motivate action – (attending events, providing feedback, etc.)

Reward Pitfalls

As you’re putting your plan together, keep these potential pitfalls in mind. A rewards program is very visible, to both customers and leadership. Damaging customer relationships is the last thing this initiative should accomplish!

If it’s not possible to gauge the success of the program, that’s a problem. Think through the reports you’ll need before you launch. You’ll want to be sure you have the necessary data, in a timely fashion, before committing to specific metrics.

If you aren’t seeing the participation you anticipated after the initial flurry (3-6 months after launch) of interest, then there are a number of areas to review:

  • Insufficient or misaligned rewards
  • Same old reward choices can lead to disinterest
  • Irrelevant rewards, lack of personalization
  • Program complexity/confusion
  • Lack of regular program updates

Summary

While rewards programs are a meaningful component of customer advocacy, their success hinges on thoughtful design and management. To truly engage and retain customers, rewards must resonate with their personal and professional values. This requires not only a clear understanding of your audience’s preferences but also a strategic approach to communicating and administering the program. A well-executed rewards program not only incentivizes desired behaviors but also enhances customer satisfaction and loyalty, driving significant business outcomes such as increased sales, retention, and the holy grail: brand advocacy. As you venture into your rewards strategy, remember to keep it simple, personalized, and closely aligned with both customer needs and business objectives, ensuring the program remains a valuable asset rather than a program blunder. To learn how ReferenceEdge can help you manage your reward program, contact us today.

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.