Chapter 4 Exercises: Audience Economics — Attention, Trust, and Value


Exercise 4.1 — The Attention Funnel Audit

Objective: Practice moving from abstract attention theory to concrete platform analysis.

Time: 45–60 minutes

Instructions:

Select one creator in your target niche (or your own account) and gather data across all available platforms they use. Then complete the following analysis:

Part A: Attention Stage Estimation

For their most recent 10 pieces of content, estimate what percentage of platform visitors are at each attention stage:

  • Fleeting attention: How many people see the content but don't engage? (Use impressions vs. engagements)
  • Engaged attention: How many complete the video / read the post? (Use average watch time % or estimated scroll depth)
  • Loyal attention: How many are subscribers / followers actively returning? (Subscriber-to-view ratio is a useful proxy)
  • Converting attention: How many have purchased something? (Usually an estimate — look at their product launch promotion comments for anecdotal data)

Part B: The Drop-Off Map

Create a simple flow diagram showing where the biggest drop-offs occur in the attention funnel for this creator. Where do you lose the most potential audience members?

Part C: Strategy Recommendations

Based on your funnel map, identify one specific tactic this creator could implement at each stage to reduce drop-off. Be specific — don't say "improve content quality." Say how and why based on what you've observed.

Deliverable: A one-page written analysis plus your flow diagram.


Exercise 4.2 — Trust Anatomy Case Study

Objective: Apply the four-component trust model (predictability, authenticity, competence, benevolence) to a real creator situation.

Time: 30–40 minutes

Instructions:

Read the following scenario, then answer the analysis questions below.

Scenario: Jamie runs a productivity YouTube channel with 280,000 subscribers. For 18 months, they've posted every Tuesday at 9 AM ET about studying techniques, focus methods, and work-from-home productivity. Their content is research-backed, their personality is warm and slightly nerdy, and their comments are full of students thanking them for specific techniques. In month 19, they launch a $397 "Productivity Mastery Course" — their first paid product. The announcement video generates 12% of their normal views, a wave of negative comments ("thought this channel was about helping people, not making money"), and significant unfollows. But 340 people still buy.

Analysis Questions:

  1. Which of the four trust components (predictability, authenticity, competence, benevolence) was most violated by the launch? Why?

  2. The 340 buyers represent roughly 0.12% of the subscriber base. Given what you know about typical conversion rates, is this high or low? What does it tell you about where Jamie's trust reserve actually stood?

  3. Jamie reads the negative comments and feels devastated. Write a 200-word piece of advice to Jamie explaining exactly what they could have done differently to launch the same product with less trust damage and (hypothetically) higher conversion. Be specific and refer to concepts from the chapter.

  4. Two weeks after the launch, Jamie wants to make a video responding to the criticism. What should they say, and what should they avoid saying?


Exercise 4.3 — Audience Segmentation Field Study

Objective: Observe and categorize real audience behavior across the lurker/engager/superfan spectrum.

Time: 60–90 minutes

Instructions:

Choose a creator with an active comment section and visible community (Discord, subreddit, Patreon posts — any community space works). Spend one hour observing the community in action. Do not participate — just observe.

Data Collection:

As you observe, fill in this table for at least 30 distinct community members:

Observation Behavior Pattern Likely Tier Intent Type (E/Ed/I/C)
1
...

(Tiers: L = Lurker, En = Engager, S = Superfan. Intent: E = Entertainment, Ed = Education, I = Inspiration, C = Community)

Analysis Questions:

  1. What was the approximate breakdown you observed: what percentage lurkers, engagers, superfans? How did it compare to the 80/15/5 model from the chapter?

  2. What were the clearest behavioral signals that distinguished a superfan from an engager? List at least three specific behaviors.

  3. What did the creator do (if anything) to specifically serve superfans differently from casual engagers? What else could they do?

  4. What was the most common "audience intent type" in this community? How did that intent type shape what people talked about and what questions they asked?

Reflection: What did you notice about your own behavior as an outside observer? Did you find yourself wanting to participate? What does that tell you about community design?


Exercise 4.4 — Value Stack Architecture

Objective: Design a complete creator value stack for a specific niche, from free content through high-ticket offering.

Time: 45–60 minutes

Instructions:

Choose a niche you know well or are genuinely interested in entering. Design a complete value stack with at least one offering at each level. For each offering, answer all four questions.

The Niche: [Your chosen niche]

Layer 0 — Free Public Content - Format and platform: - Specific content types/series: - Value proposition (what does the audience get?): - How does this build the trust needed for Layer 1?

Layer 1 — Free Email-Gated Content - What is the lead magnet? - Why would someone give their email for this specifically? - What does receiving this teach you about the subscriber?

Layer 2 — Low-Ticket Product ($9–$49) - Product description: - Why is this a natural next step from Layer 1? - What signals that someone is ready to buy here?

Layer 3 — Mid-Ticket Product ($97–$497) - Product description: - What transformation does this promise? - What evidence would a buyer need to see before trusting you with $97–$497?

Layer 4 — High-Ticket Product ($1,000+) - Product description: - Who specifically within your audience is this for? - Why would someone who's gone through Layers 0–3 want this?

Synthesis: Write a paragraph explaining the narrative thread that connects all five layers — how does consuming Layer 0 content naturally lead someone toward Layer 4 over time?


Exercise 4.5 — The Engagement Forensics Investigation

Objective: Practice distinguishing genuine audience quality from inflated or low-quality engagement.

Time: 30–45 minutes

Instructions:

This exercise requires analyzing two creators in the same niche with similar follower counts. Your goal: determine which has a higher-quality audience, and why.

Creator A and Creator B (you choose them from your niche)

For each creator, gather the following data from their last 5 posts/videos:

Metric Creator A Creator B
Average follower count
Average engagement rate
Average save rate (if available)
% of comments that are multi-sentence
% of comments asking specific questions
Average reply chain length
Product/link mentions in comments?

Analysis Questions:

  1. Based purely on quantitative metrics, which creator appears to have the higher-quality audience? What specific numbers make you say that?

  2. Based on qualitative comment analysis, does the quantitative conclusion hold up? Why or why not?

  3. If Creator A has higher quantity metrics (more likes, more raw comments) but Creator B has higher quality metrics, which would you rather be? Which would a direct-product seller prefer to be? Which would an awareness-focused brand prefer to work with?

  4. Design a 30-day "audience quality improvement" content strategy for the lower-quality creator. What specific changes in content type, format, or engagement approach would you recommend? Why?


Exercise 4.6 — The Brand Deal CPM Equity Analysis

Objective: Understand the documented equity gaps in creator monetization and think through both causes and potential responses.

Time: 45 minutes

Instructions:

Research the current state of CPM equity gaps in influencer marketing using publicly available sources (note: use recent reports from MSL Group, Influencer Marketing Hub, National Creators Association, and creator economy-focused journalism from outlets like The Information or Bloomberg).

Part A: Research Summary Summarize what you find about documented pay gaps across creator demographics. Be specific: what groups are affected, by what percentages, in what niches, according to which research?

Part B: Mechanism Analysis The chapter identifies four mechanisms behind these gaps: audience demographic discounting, "mainstream appeal" bias, the aesthetic standard, and others. For each mechanism, propose a specific, actionable thing a brand marketing team could implement to address it. Not vague commitments — actual process changes.

Part C: Creator Response Strategy You are a Black female creator in the personal finance niche. Your engagement rate is 7.2% at 85,000 Instagram followers — significantly above the platform average. A brand offers you a $2,000 flat-rate partnership for a post that typically earns comparable creators with your metrics $5,500–$6,000. Write the email you would send in response. Include your counter-proposal, your supporting data, and your professional framing of why your audience metrics justify higher compensation.


Exercise 4.7 — Maya's Metrics Reverse-Engineering

Objective: Practice working backwards from outcomes to strategy — a critical skill for learning from successful creators.

Time: 30 minutes

Instructions:

Using the information from section 4.6 about Maya Chen's journey, work through the following questions:

  1. At 87,000 followers, Maya sold 340 copies of a $29 guide in 48 hours. That's a 0.39% conversion rate of her total audience. Is that strong or weak? Compare to the chapter's stated typical conversion rate of 2% of "loyal audience" (not total audience). What does the gap tell you about how many of her 87K followers were truly loyal vs. merely following?

  2. Maya had an engagement rate of 11.2% at 15,000 followers. By 40,000 followers, it had dropped to 8.7%. This is a normal decline as audiences grow. At what follower count would you expect her engagement rate to drop to around 5%? What would have happened to her absolute engaged audience size even as the rate declined?

  3. Maya's biggest regret, mentioned briefly in the chapter, was not having an email list at the time of her first product launch. If she had launched with a 5,000-person email list (a realistic assumption given her engagement rate), and email-to-sale conversion for creator product launches typically runs 1–3%, how many additional sales might she have gotten? What would that have meant for revenue?

  4. Based on everything in this chapter, what do you think Maya should prioritize between months 9 and 12 of her creator journey to best position herself for her next product launch? Write a 150-word strategic recommendation.