AdamX
The Hidden Champions Playbook
AdamX

PLAYBOOK

The Hidden Champions Playbook

How to Identify and Activate Your Best Customer Advocates from Existing Conversations

500 customers. 5 references.
Find the other 50.

Published

January 2026

www.adamx.ai

You Have More Advocates Than You Think

Every B2B company faces the same paradox: hundreds of customers, but only a handful of people willing to be references. Sales needs a healthcare customer who can speak to compliance. Customer marketing has been asking CS for nominations for weeks. The reference incentive program yielded three names—two of whom are "too busy" and one who left the company.

Meanwhile, your customers are saying incredible things on calls every single day. They're sharing outcomes, praising your team, comparing you favorably to competitors. They're telling your CSMs how you've transformed their workflow. They're mentioning you to colleagues at other companies.

But none of it gets captured. None of it becomes usable.

THE INSIGHT

The gap isn't willingness—it's visibility. The champions exist. They're just hidden in call recordings, not spreadsheets.

The Real Issue

Most reference programs are built backwards:

Reactive, Not Proactive

Reference lists are built by asking "who said yes last time?" instead of systematically identifying who would say yes if asked.

Self-Selection Bias

Champions self-select into reference programs, which means you're only seeing the most extroverted advocates. The quiet champions—the ones with the best metrics—never raise their hands.

Always Too Late

By the time sales desperately needs a reference for a deal, it's too late to cultivate one. You end up burning out your same five references.

The solution isn't to ask CS to "keep an eye out" for happy customers. The solution is to systematically analyze what your customers are already saying and surface the advocates you didn't know you had. That's what this playbook teaches you to do.

What Hidden Champions Sound Like

Not all positive sentiment is equal. A customer who says "the product works fine" is not a champion. A customer who says "I've already told three people in my network about this" is. The difference comes down to specific signals.

Signal 1: Unsolicited Praise

Enthusiasm that goes beyond polite feedback. The customer volunteers positive comments without being asked.

"This has been a game-changer for our team." / "I was just telling my friend at [Company] about this."

Signal 2: Internal Advocacy

Champions don't just use your product—they sell it internally. They demo to other teams and present to leadership.

"I've been demoing this to other departments." / "My VP asked me to present on how we're using it."

Signal 3: Expansion Interest

Proactive expansion interest—not responding to an upsell pitch—signals deep product satisfaction.

"Can we add more seats?" / "What would it take to roll this out globally?"

Signal 4: Peer Sharing Intent

The strongest signal: evidence that the customer is already advocating to their network without being asked.

"I mentioned this at a conference last week." / "A few people in my network have been asking about our setup."

Signal 5: Specific ROI Articulation

When a customer has calculated time saved, money saved, or efficiency gained—they become incredibly credible references.

"We've cut our case study creation time by 80%." / "This saved us 20 hours last quarter."

How to Find Champions in Your Call Recordings

You don't need expensive software to surface hidden champions. You need access to your call recordings, an AI assistant, and a few hours of focused work.

1

Gather Your Transcripts

Export transcripts from your call recording system—Gong, Chorus, Fireflies, Fathom, or whatever your team uses.

Which calls: QBRs, renewal conversations, check-ins, expansion discussions
Time range: Ideally from the start of the relationship. For long-term customers (1+ year), go back at least 12 months. For newer customers, use whatever is available.
Scope: For your first pass, focus on one account with 20-30 calls
2

Prepare Your Transcripts

The AI needs context to analyze effectively. If your transcripts only show "Speaker 1, Speaker 2"—add a header with participant details:

CALL DATA Date: 2024-11-15 Call Type: Customer Success Check-in Account: Acme Corp Participants: - Sarah Chen, VP of Customer Success, Acme Corp (Customer) - Mike Rodriguez, CSM, Your Company (Internal) --- [Transcript begins]
3

Run the Single-Call Analysis

Open ChatGPT or Claude and upload your transcripts in batches (typically 5-10 files at a time). Use the prompt on the next page to analyze each call. Each batch takes 2-3 minutes to process.

WHY THIS WORKS

The participant context is critical. Without it, the AI can't identify who is showing champion signals. A generic "Speaker 2 expressed enthusiasm" is useless—you need to know it was Sarah Chen, VP of Customer Success.

Single-Call Analysis Prompt

Copy and paste this prompt exactly when analyzing each batch of transcripts:

AI PROMPT: SINGLE-CALL CHAMPION ANALYSIS
You are analyzing a customer call transcript to identify potential customer champions, advocacy signals, and key context. CONTEXT: - This is a customer call transcript (sales or customer success) - Participant information should be included at the top of the transcript - Your job is to extract signals that indicate advocacy potential YOUR TASK: Analyze this transcript and provide a structured summary with the following sections: 1. CALL OVERVIEW - Call type (sales demo, CS check-in, QBR, support, etc.) - Date (if discernible from the transcript) - Key participants and their roles 2. OVERALL SENTIMENT - Classification: Positive / Neutral / Negative - Brief explanation of why 3. POTENTIAL CHAMPIONS IDENTIFIED - Name and title of anyone showing advocacy signals - What signals they showed (enthusiasm, willingness to recommend, unsolicited praise, specific outcomes shared, etc.) 4. KEY QUOTES - Direct quotes that demonstrate satisfaction, outcomes, or advocacy potential - Include speaker name and context for each quote - These should be exact quotes from the transcript, not paraphrased 5. OUTCOMES/RESULTS MENTIONED - Any specific metrics, improvements, or results the customer mentioned - Include exact numbers if stated (e.g., "saved 20 hours per week") 6. PAIN POINTS SOLVED - What problems or challenges did the customer say the product addressed? 7. COMPETITIVE CONTEXT - Any mentions of competitors or alternatives they considered 8. CONCERNS OR FRICTION - Any complaints, frustrations, or concerns raised 9. ADVOCACY READINESS SIGNALS - Any explicit mention of willingness to be a reference, do a case study, or write a review - Any unprompted recommendations to others Format your response as clean markdown that can be easily collected with other call summaries.

Run this prompt for each batch of transcripts and save the output. 30 transcripts in batches of 10 will take about 10-15 minutes of active work.

From Individual Calls to a Champion List

After analyzing 20-30 calls, you'll have a collection of individual call summaries. Now it's time to synthesize everything and build your ranked champion list.

Step 4: Consolidate Across Customers

Combine your call summaries into a single document. Upload them to ChatGPT or Claude and use this consolidation prompt:

AI PROMPT: CHAMPION CONSOLIDATION
You are analyzing summaries from multiple customer calls for a single account to identify and classify customer champions. CLASSIFICATION SYSTEM (5 Tiers): - CHAMPION (5-star): Your strongest advocates—actively recommends the product, highly enthusiastic, would go on record publicly, gives unprompted praise - ADVOCATE (4-star): Very positive, shares success stories when asked, likely to recommend if approached - PROMOTER (3-star): Satisfied, sees clear value, potential for stronger advocacy with nurturing - PASSIVE (2-star): Neutral, uses the product but not enthusiastic, no strong signals either way - DETRACTOR (1-star): Frustrated, has complaints or concerns, risk of churn or negative word-of-mouth YOUR TASK: 1. IDENTIFY ALL INDIVIDUALS mentioned across these calls and classify each into one of the 5 tiers based on their signals across all conversations. 2. CREATE A SUMMARY TABLE at the top of your response: | Name | Title | Tier | Best Quote (Preview) | Sort by tier: Champions first, then Advocates, Promoters, Passives, Detractors. 3. CREATE A DETAILED PROFILE for each person: ## [Name], [Title] **Tier:** [Classification] **Rationale:** Why this classification? What signals across the calls support it? **Key Quotes:** "[Quote 1]" — [Call date/type] **What They Value:** Key themes about what they love (or dislike) about the product **Outcomes Mentioned:** Specific results, metrics, or improvements they cited **Suggested Ask:** What type of advocacy would be appropriate given their tier? **Caveats:** Any concerns, risks, or context to be aware of 4. ACCOUNT SUMMARY at the end: Total people identified by tier, overall account health, top recommendation for immediate action. Format as clean markdown.

Converting Hidden Champions into Active Advocates

Identifying champions is only half the battle. The other half is activating them. Here's how to do it without being awkward or salesy.

The "Warm Reference" Approach

1. Acknowledge What They Said

Reference the specific quote from your analysis. Makes the ask feel personal.

2. Make It Easy

Don't ask for a case study—ask for 15 minutes. Avoid triggering red tape.

3. Offer Value First

Help them look good internally. Share the finished piece for their updates.

Sample Outreach: For Champions (5-star)

Subject: Your [specific metric] results

Hi [Name],

During our last [call type], you mentioned that [specific quote about value/outcome]. That's exactly what other [their industry/role] leaders are trying to achieve, and I think your story would resonate with them.

Would you be open to a 15-minute conversation with our marketing team? They'd love to hear how you got to those results. We can share the finished piece with you to use in your own leadership updates.

No pressure either way, and happy to answer any questions first.

Best, [Your name]

Matching Asks to Tiers

Tier Appropriate Asks
Champion Reference calls, case studies, video testimonials, G2/Gartner reviews, speaking
Advocate Written testimonials, quote approval, internal referrals to other teams
Promoter Build relationship first, then lighter asks like short quotes
Passive/Detractor Focus on improving their experience before any advocacy asks

This Works. Here's What Makes It Hard.

The methodology in this playbook is proven. Run this process on 20-30 calls and you'll surface champions you didn't know existed. But let's be honest about what makes this hard to sustain.

The Manual Approach Works If...

  • You have fewer than 100 customers
  • You have 5-10 hours/month to dedicate
  • You consistently remember to analyze calls
  • You have a system to track scores over time

Where It Gets Challenging

  • At scale, manual analysis = full-time job
  • Champion signals decay without continuous monitoring
  • Cross-referencing signals across many calls is unwieldy
  • Keeping the list current requires constant re-analysis

We Built This Into a Product

AdamX is a Customer Proof Engine that automatically:

  • Analyzes every customer call for champion signals as they happen
  • Maintains a continuously-updated advocate list
  • Scores customers based on advocacy potential
  • Tracks sentiment changes over time
  • Drafts personalized outreach based on what customers said
  • Generates case study and testimonial drafts automatically

The Difference: The playbook you just learned works. AdamX turns that playbook into an always-on engine. Instead of running the analysis quarterly, the system processes every call automatically. The methodology is the same. The execution scales.

AdamX

The Customer Proof Engine

Turn every customer conversation into case studies, testimonials, and references—automatically.

See It In Action

adamx.ai/demo

Questions? Reach us at hello@adamx.ai

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www.adamx.ai