Chapter 22 Exercises: Metrics That Matter — Vanity vs. Value Metrics


Exercise 22.1: The Metrics Classification Challenge

Objective: Develop intuition for distinguishing vanity from value metrics.

Instructions:

Below is a list of 20 metrics. For each one: 1. Label it as primarily Vanity (V), primarily Value (V+), or Context-Dependent (C) — meaning it's vanity in some situations and value in others 2. For context-dependent metrics, write one sentence explaining what makes it a value metric vs. a vanity metric 3. Place each metric in the correct category of the four-category framework (Reach / Engagement / Conversion / Revenue)

Metrics list: 1. Total Instagram followers 2. Email list open rate 3. YouTube RPM 4. TikTok video views 5. Monthly active email subscribers (opened at least one email in 90 days) 6. Total video likes 7. Email list unsubscribe rate 8. Course sales page conversion rate 9. Monthly recurring revenue (MRR) 10. Instagram Story forward tap rate 11. Podcast download count 12. Customer lifetime value (CLV) 13. Google search impressions for your blog 14. Follower count on Twitter/X 15. Average order value (AOV) 16. Comment engagement rate (total comments ÷ reach) 17. YouTube impressions click-through rate 18. TikTok saves rate 19. Bio link click-through rate 20. Total revenue (lifetime)

Reflection prompt: After completing the classification, which three metrics in the list do you currently NOT track that you think would be most valuable for your creator goals? Why?


Exercise 22.2: Your Real Funnel Audit

Objective: Map your actual creator funnel and identify your biggest conversion leak.

Materials needed: Access to your native platform analytics for one primary platform.

Part A — Funnel Mapping (30 minutes)

Draw or write out your current creator funnel using this structure:

  1. Discovery: How do people find your content? (Search, algorithm, referral, direct)
  2. First Impression: What do people see when they land on your profile or page?
  3. Content Engagement: What percentage of viewers engage meaningfully?
  4. Profile Action: What percentage of engaged viewers visit your profile/bio?
  5. Next Step: What action do you ask people to take? (Email sign-up, product page, Discord join)
  6. Conversion: What percentage actually take that action?
  7. Revenue Action: What does a converted audience member eventually buy?

Part B — Actual Numbers (30 minutes)

Pull the actual numbers for the last 30 days at each stage. Calculate the drop-off percentage between each stage.

Example format: - Reach: 45,000 (100%) - Engaged viewers: 3,150 (7% engagement rate) - Profile visits: 890 (28% of engagers) - Bio link clicks: 178 (20% of profile visitors) - Email sign-ups: 67 (38% of link clicks) - Product page visits: [from email]: 31 (46% of new email subscribers clicked launch link) - Product purchases: 4 (13% of product page visitors)

Part C — Diagnosis (15 minutes)

Answer these questions in writing: 1. Where is the single biggest drop-off in your funnel? 2. What are two possible reasons for that drop-off? 3. What is one specific change you could make this week to test whether it improves that stage?


Exercise 22.3: Engagement Quality Analysis

Objective: Move beyond engagement rate to evaluate the quality of your community's engagement.

Instructions:

Choose the last 10 pieces of content you published on your primary platform.

Quantitative analysis:

Create a table with these columns: - Content title/description - Total reach - Engagement rate (%) - Saves (if trackable) - Share/retweet count - Comments count - Average comment word count (count words in your 5 most recent substantive comments) - Watch-to-end rate (for video)

Qualitative analysis:

For each piece of content, read the comments and classify the top 5 comments as: - (A) Community-building: sharing personal experience, responding to others, asking follow-up questions - (B) Conversion-signaling: asking where to buy, asking about a course, expressing intent to try something - (C) Entertainment response: "lol", "this is so true", emoji-only, hype responses - (D) Negative or critical

Synthesis questions:

  1. Which content piece had the highest engagement quality (high saves + substantive comments) regardless of raw engagement rate?
  2. What characteristics does your highest-quality-engagement content share?
  3. What is the ratio of A+B comments to C+D comments across your last 10 posts? Is this ratio improving or declining over time?

Exercise 22.4: Build Your Creator Metrics Dashboard

Objective: Create a real, usable 10-metric tracking system you will maintain for the next four weeks.

Instructions:

Create a tracking document (Google Sheets, Notion, or equivalent) with the following structure:

Tab 1: Weekly Metrics

Set up columns for each week of the current month. Create rows for these 10 metrics, adapted to your specific platforms:

# Metric Week 1 Week 2 Week 3 Week 4 4-Week Trend
1 New email subscribers
2 Email list total (active)
3 Primary platform reach
4 Best post engagement rate
5 Revenue this week ($)
6 New paying customers
7 Bio link CTR
8 Email open rate (%)
9 [Platform-specific metric]
10 [Platform-specific metric]

Tab 2: Monthly Summary

Create a single-page monthly summary with: - Total monthly revenue (broken down by source) - Net email list growth rate (%) - Month-over-month comparison for each metric - A "health score" from 1–10: how many of your 10 metrics improved this month?

Commitment: Fill in your dashboard every Sunday for four consecutive weeks. At week four, write a 150-word summary of the most important pattern you discovered.


Exercise 22.5: Revenue Metric Deep Dive

Objective: Calculate and interpret your key revenue metrics with real numbers.

Part A: Calculate your current metrics

Using your actual business data (or estimated data if you're pre-revenue), calculate:

  1. If you have AdSense/ad revenue: RPM = Revenue ÷ (Total Views ÷ 1000). How does your RPM compare to the benchmarks for your niche in Chapter 22.6?

  2. If you have product sales: - AOV = Total product revenue ÷ Number of orders - If you don't have data yet: define your planned product and estimate AOV

  3. CLV estimate: - Average purchase value × estimated purchase frequency per year × estimated years a customer stays = CLV estimate - If pre-revenue: build this estimate for your planned business model

  4. MRR (if applicable): - Current MRR = Monthly subscription price × Number of active subscribers - MRR churn: How many subscribers canceled last month? What's your monthly churn rate?

Part B: The Revenue Mix Analysis

Draw a pie chart (or write a percentage breakdown) of your current or planned revenue mix: - Ad revenue / creator fund (%) - Brand partnerships (%) - Digital products — one-time (%) - Digital products — subscriptions (%) - Physical products (%) - Services / consulting (%) - Affiliate revenue (%)

Analysis questions: 1. Which revenue stream has the highest RPM equivalent (revenue per unit of audience attention)? 2. Which revenue stream is most dependent on platform algorithm changes? 3. If your largest platform went away tomorrow, what percentage of your revenue would survive?


Exercise 22.6: The Equity Metrics Conversation

Objective: Examine the structural dynamics of brand deal metrics from multiple perspectives.

This exercise works best as a group discussion or written assignment.

Background: The chapter's equity callout describes how engagement metrics gatekeeping in brand deals can undervalue creators of color and niche community creators, despite these creators often having higher-quality audience relationships.

Perspectives to explore:

Creator's perspective: - A Black creator with 18,000 YouTube subscribers and 11% engagement rate is pitching a brand that requires 50,000 minimum followers. What data should they present? What is the best argument for the value of their audience?

Brand's perspective: - A brand manager is allocating a $50,000 influencer marketing budget. They need to evaluate 200 creator pitches efficiently. What metrics system would you design that balances efficiency with fairness?

Platform's perspective: - You work at a major social media platform and recognize that your metrics displays contribute to undervaluing certain creator communities. What changes to your analytics interface or brand partnership tools could you implement?

Written response (300–400 words): Drawing on all three perspectives, propose a more equitable creator-brand evaluation system. What metrics would it include? How would it handle minimum thresholds? What data would creators be required to provide and what would brands be required to disclose?


Exercise 22.7: The Maya Chen Metrics Simulation

Objective: Practice metrics analysis and decision-making using a realistic creator scenario.

Scenario:

Maya Chen's TikTok/YouTube analytics for Month 6 of her creator journey:

TikTok: - Followers: 142,000 - Average reach per video: 28,000 - Average engagement rate: 4.1% - Average save rate: 0.6% - New followers this month: 22,000 - Email sign-ups from TikTok bio link: 47

YouTube: - Subscribers: 8,400 - Average views per video: 3,200 - Average watch-to-end: 58% - Engagement rate: 7.8% - Impressions CTR: 6.2% - Email sign-ups from YouTube description link: 189 - RPM: $4.20 - Monthly ad revenue: ~$134

Email List: - Total subscribers: 1,847 - Monthly growth: 236 new subscribers - Open rate: 38% - CTR: 4.2%

Revenue this month: $0 product sales, $134 ad revenue, $0 brand deals

Questions:

  1. Despite having 17x more TikTok followers than YouTube subscribers, YouTube generated 4x more email sign-ups. What does this tell Maya about her content strategy?

  2. Calculate Maya's overall funnel conversion rate from TikTok reach to email sign-up. Is this good, bad, or average?

  3. Given her current metrics, Maya is considering two strategies for next month: - Option A: Post more on TikTok to accelerate follower growth - Option B: Create more YouTube content targeting search keywords related to sustainable fashion Which strategy would you recommend and what metrics would you use to evaluate success?

  4. Maya receives a brand deal inquiry: $500 flat fee for a TikTok integration. The brand is a fast-fashion company with a "sustainable" sub-line. Set aside the ethical dimension — purely on metrics, is this a fair price? What data would you use to negotiate?

  5. What is the single metric in Maya's dashboard that most concerns you, and what specific action would you recommend to improve it?