ORIGINAL EMPIRICAL RESEARCH

Creator Benchmarks & Distribution Studies

Empirical creator benchmarks, content distribution curves, and format dynamics from 70M+ public profiles. Grounded in primary datasets, not algorithmic folklore.

Methodology & Standards →
YouTube Research vidIQ Source

One Video Doesn't Tell You How Good a Creator Is

Analysis of 448,413 channels reveals why evaluating creators on single uploads causes extreme sample-size distortion.

10.82×
Median view multiplier (best-of-10 vs first video)
YouTube Census vidIQ Source

How Rare Is a Big YouTube Channel?

Census of 61.2 million channels measuring the true pyramid: 96.7% have <10K subscribers, while only 0.13% ever reach 1M.

0.13%
Channels that reach 1M subscribers (1 in 770)
Instagram Research Buffer Source

Instagram Reels vs Carousels: Which Performs Better?

Analysis of 4M+ posts mapping discovery vs depth: Reels deliver cold reach, while carousels drive saves and engagement.

+36%
Reels reach advantage over carousels (Buffer dataset)
Cadence Study vidIQ Source

How Often Should You Upload on YouTube?

12-month study of 10.2M channels showing why cadence correlates with view growth, but remains an output rather than a hack.

4.11×
Median view growth spread (12+/mo vs <1/mo uploads)
Benchmarking Socialinsider Source

How Instagram Views Change as Accounts Get Bigger

Benchmark analysis across 5 follower tiers revealing format multipliers, audience saturation thresholds, and baseline scaling.

2.08×
Carousel view multiplier on 1K–5K micro-accounts