Case Study: Riding the Wave vs. Making the Wave

"Trends are like waves. You can surf them, or you can try to create your own. Both take skill — but one requires an ocean."

Overview

This case study compares two creators in the same niche (cooking) who take opposite approaches to trends — one rides every wave, the other tries to make waves. Their contrasting strategies reveal when trend following succeeds, when trend creation pays off, and why the answer is usually "both, in the right proportion."

Skills Applied: - Trend lifecycle timing - Trend jacking spectrum (copy → adapt → twist → elevate) - Trend creation design principles - The 70/30 balance (following vs. creating) - Evergreen-trend hybrid strategy


The Two Creators

Ava Chen, 16 — "The Trend Surfer"

Strategy: Jump on every relevant cooking trend within 24 hours of spotting it.

Ava monitored trending sounds, formats, and hashtags daily. When she saw a trend rising, she immediately produced a cooking-niche version. Her motto: "If it's trending, I'm making a version."

Pre-strategy metrics: - Followers: 32,000 - Average views: 15,000 - Posting frequency: 5-6 videos/week (high — speed was the priority)

Diego Martinez, 17 — "The Format Inventor"

Strategy: Create original cooking formats that others would want to replicate.

Diego focused on developing unique video concepts — original structures, challenges, and content frameworks that he hoped would become trends. His motto: "Don't follow the wave. Be the wave."

Pre-strategy metrics: - Followers: 28,000 - Average views: 12,000 - Posting frequency: 2-3 videos/week (lower — each video was more labor-intensive)


Part 1: Month 1-3 — The Opening Phase

Ava's Trend Surfing Results

In three months, Ava participated in 47 trends. Her hit rate:

Performance Tier Count Avg. Views % of Total
Breakout (5x+ normal) 4 180,000 8.5%
Strong (2-5x normal) 12 42,000 25.5%
Average (normal range) 19 16,000 40.4%
Below average (<1x) 12 6,000 25.5%

Key observations: - The 4 breakout videos all used trends in the late Rise / early Peak phase - The 12 below-average videos mostly used trends at Saturation or Decay - Her fastest-growing video (320,000 views) used a trending sound during its Rise phase with a clever cooking twist - Her trend entries became predictable — followers began to expect "Ava's version of whatever's trending" rather than anticipating her for unique content

Month 3 metrics: - Followers: 78,000 (+144%) - Average views: 28,000 (+87%) - Completion rate: 68% (slightly below niche average) - Share rate: 2.4% (below niche average)

Diego's Format Invention Results

In three months, Diego attempted to create 8 original formats:

Format Attempt Description Performance
"Guess the Ingredient" Blindfolded taste-test challenge 22,000 views (above average)
"Speed Cook" Racing to complete a recipe in 60 seconds 14,000 views (average)
"What's Left?" Making a meal from random fridge leftovers 8,000 views (below average)
"Recipe Telephone" Passing a recipe through 4 people 45,000 views (strong)
"Kitchen SOS" Fixing someone's cooking disaster 11,000 views (average)
"One Dollar Challenge" Making a full meal for $1 190,000 views (breakout!)
"Cooking Blindfolded" Complete recipe with no sight 16,000 views (average)
"The Ingredient Swap" Replacing key ingredients with unusual alternatives 9,000 views (below average)

Key observations: - 1 of 8 formats broke out (12.5% success rate) - "One Dollar Challenge" had high participation potential — other creators could easily replicate it, and the concept was immediately understood - 5 of 8 formats performed at or below average — the time investment in creating original formats wasn't consistently rewarded - The breakout format DID get replicated by several other creators, but Diego wasn't consistently credited

Month 3 metrics: - Followers: 52,000 (+86%) - Average views: 24,000 (+100%) - Completion rate: 76% (above niche average) - Share rate: 3.8% (above niche average)

Month 3 Comparison

Metric Ava (Trend Surfer) Diego (Format Inventor)
Follower growth +144% +86%
Average views 28,000 24,000
Completion rate 68% 76%
Share rate 2.4% 3.8%
Content consistency Low (varies with trends) High (distinctive voice)
Audience loyalty Lower (followers came for trends) Higher (followers came for Diego)

Part 2: Month 4-6 — The Divergence

Ava's Plateau

Around month 4, Ava's trend surfing strategy started showing cracks:

Problem 1: Trend fatigue. Her audience began disengaging from trend content because they'd already seen the trend from other creators. Ava's version was usually competent but rarely the best — she was fast, not distinctive.

Problem 2: Audience confusion. Ava's follower base was a grab-bag of people who'd followed from different trends. Her cooking-community followers wanted cooking tips. Her trend followers wanted entertainment. Her algorithm profile was confused.

Problem 3: Burnout. Producing 5-6 videos per week to keep up with trend speed was exhausting. Ava started cutting corners — shorter preparation, less polished production — which lowered quality.

Month 4-6 metrics: | Metric | Month 3 | Month 6 | Change | |--------|---------|---------|--------| | Followers | 78,000 | 105,000 | +35% (slowing) | | Average views | 28,000 | 22,000 | -21% | | Completion rate | 68% | 63% | -7% | | Unfollow rate | 0.5%/week | 1.2%/week | +140% |

Diego's Acceleration

Diego's strategy looked weaker early but started compounding:

"One Dollar Challenge" took off. Other cooking creators adopted the format, often crediting Diego. Each adaptation drove viewers back to his original. The format became a recognizable mini-trend in the cooking community.

His original formats built cumulative identity. While most of his 8 format inventions didn't become trends, they established Diego as a creative, unpredictable creator. Viewers followed him not for a specific format but for the anticipation of what he'd try next.

Month 4-6 metrics: | Metric | Month 3 | Month 6 | Change | |--------|---------|---------|--------| | Followers | 52,000 | 130,000 | +150% (accelerating) | | Average views | 24,000 | 55,000 | +129% | | Completion rate | 76% | 79% | +4% | | Unfollow rate | 0.3%/week | 0.2%/week | -33% |


Part 3: The Hybrid Realization

By month 6, both creators recognized the weaknesses of their pure strategies:

Ava realized: "I was fast but forgettable. People watched my trend videos but didn't remember ME. When the trend passed, they scrolled past my next video because they didn't associate me with anything specific."

Diego realized: "I was creative but slow. My original formats were distinctive but I was missing growth opportunities by ignoring trends. Seven of my eight format inventions went nowhere — that's a lot of effort for uncertain returns."

The Merged Strategy

Both creators independently arrived at the same conclusion: the optimal strategy was a hybrid.

Ava's adjustment: - Reduced trend participation from 5-6/week to 2-3/week - Added evergreen cooking content (her actual recipes and techniques) - Only joined trends she could genuinely twist with her culinary angle - Applied Zara's three-question filter (section 11.3)

Diego's adjustment: - Started incorporating 1-2 trend videos per week alongside his original formats - Used trends as "audience maintenance" — keeping existing followers engaged - Reserved original formats for "audience growth" — attempting breakouts - Accepted that most original formats would fail and budgeted accordingly


Part 4: Month 7-12 — The Results

Six-Month Comparison of Hybrid Strategies

Metric Ava (Month 12) Diego (Month 12)
Followers 220,000 340,000
Average views (trend) 45,000 42,000
Average views (original) 35,000 68,000
Average views (evergreen) 30,000 38,000
Completion rate 73% 78%
Share rate 3.4% 4.6%
Unfollow rate 0.6%/week 0.3%/week
Brand deals (monthly) 3-4 6-8

Why Diego Ultimately Won

Diego's long-term advantage came from three factors:

1. Distinctive identity. His original format experiments — even the ones that didn't go viral — established him as a creative, unpredictable creator. This identity was his own; it couldn't be replicated by another creator using the same trend.

2. Audience quality. Diego's followers came for HIM — his creativity, his personality, his formats. Ava's followers came for TRENDS she happened to participate in. Diego's audience was more loyal, more engaged, and more valuable to brands.

3. Compound returns on originality. One successful original format (the "One Dollar Challenge") generated more sustained growth than dozens of trend participations because it kept being replicated by other creators, driving traffic back to Diego as the originator.

Why Ava Survived and Grew

Ava's hybrid strategy worked because:

1. Trend participation provided consistent baseline. Even if no single trend video broke out, the aggregate effect of regular trend content maintained her visibility.

2. Evergreen content built depth. Her recipe and technique videos attracted a more committed audience than pure trend content.

3. Selective trend participation improved quality. Doing fewer trends better was more effective than doing many trends quickly.


The Framework: Trend Strategy Matrix

Creator Type Trend Following Trend Creation Best For
New creator (< 5K) 70% 10% Building initial audience through proven formats
Growing creator (5K-50K) 50% 20% Balancing growth with identity development
Established creator (50K+) 30% 30% Leveraging audience for format innovation
All creators 20-40% evergreen at all stages

The remaining percentage is always evergreen content — the stable foundation that builds lasting value regardless of trends.


Discussion Questions

  1. The speed-quality trade-off: Ava's strategy required speed (5-6 videos/week); Diego's required quality (2-3/week). Is there a way to maintain both speed and quality, or is this an inherent trade-off? How do high-output creators like MrBeast maintain quality at scale?

  2. The attribution problem: Diego's "One Dollar Challenge" was replicated by other creators, but he wasn't always credited. In a trend ecosystem where formats are freely copied, how should originators be recognized? Is there an intellectual property claim to a video format?

  3. Audience quality vs. quantity: By month 6, Ava had more followers but Diego had better engagement metrics. At what point does audience quality matter more than quantity? Is 100,000 engaged followers better than 300,000 disengaged followers?

  4. The failure rate of originality: Diego's format invention had a 12.5% breakout rate — 1 in 8 attempts succeeded. Is this sustainable? How should creators emotionally manage the 87.5% of original ideas that don't work?

  5. The hybrid convergence: Both creators independently arrived at a hybrid strategy. Does this suggest the hybrid is objectively optimal, or could a pure trend-following or pure trend-creating strategy work for different personality types or niches?


Mini-Project Options

Option A: The Trend Strategy Audit Categorize your last 20 posts (or a creator you study) as: trend-following, trend-creating, evergreen, or experimental. Calculate the ratio. Compare to the recommended mix from the chapter. Adjust your content plan for the next month based on the gap.

Option B: The Format Invention Lab Design 5 original video formats for your niche. For each format: - Describe the concept and structure - Evaluate its "participation potential" (would others want to replicate it?) - Rate its "recognizability" (would viewers identify it across different creators?) - Predict its lifecycle if it caught on Film one of them. Track its performance against your trend-following content.

Option C: The Trend Timing Experiment Find a trend currently in the Rise phase. Create two versions: - Version A: Posted immediately (within 24 hours of spotting the trend) - Version B: Posted 5-7 days later with more production quality Compare: did the early, faster version outperform the later, better version? What does this tell you about the speed-quality trade-off in trend participation?


Note: This case study uses composite characters to illustrate patterns observed across many creators experimenting with trend-following and trend-creating strategies. Metrics are representative of documented growth patterns. Individual results will vary.