How viral content really works: 19,624 posts analysed
A first-party study of 19,624 public Facebook posts across 1,058 pages and 44 niches — measured by how far each beat its own account's baseline, not by raw views.
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Method
We analysed 19,624 public Facebook posts across 1,058 pages in 44 niches. Every post is scored by its baseline multiple — its engagement (reactions + comments + shares) divided by the median engagement of the same page. A post at 1× performed like a typical post for that page; 5× beat its own norm fivefold. This normalises for audience size, so a small page and a large one are compared fairly. All figures are aggregate and anonymised — no page or post is identified.
Reach is wildly concentrated
The single clearest finding: a tiny share of posts captures almost all of the engagement.
| Share of posts | Share of all engagement they capture |
|---|---|
| Top 1% | 71% |
| Top 5% | 88% |
| Top 10% | 93% |
| Top 20% | 97% |
In other words, the bottom 80% of posts together account for just ~3% of engagement. Content performance is not a normal distribution — it is a handful of outliers doing almost all the work.
Outliers are rare
How often does a post actually beat its own page's baseline by a wide margin?
| Beat baseline by… | Share of posts |
|---|---|
| ≥ 2× | 23.5% |
| ≥ 3× | 14.3% |
| ≥ 5× (a real breakout) | 7.5% |
| ≥ 10× | 3.4% |
| ≥ 20× | 1.5% |
| ≥ 50× | 0.5% |
Fewer than 1 in 13 posts beats its baseline by 5× or more. Genuine outliers (10×+) are about 1 in 30. This is why chasing volume rarely works — most posts land near the median by definition.
How far the top posts go
The distribution of baseline multiples across all 19,624 posts:
| Percentile | Baseline multiple |
|---|---|
| Median (p50) | 1.0× |
| p75 | 1.8× |
| p90 | 3.9× |
| p95 | 7.0× |
| p99 | 26.8× |
| Maximum observed | 6,083× |
The typical post performs almost exactly like its page's median (1.0×). The tail is extreme: the top 1% of posts beat their baseline by 27× or more, and the single strongest post in the set did 6,083× — an account that normally gets a few engagements landing tens of thousands.
Format: video has the edge
Breaking outlier rate down by content type:
| Type | Share of posts | Median engagement | Beat baseline ≥5× |
|---|---|---|---|
| Video | 17.7% | 50 | 12.5% |
| Image | 75.4% | 21 | 6.3% |
| Text | 6.9% | 12 | 7.3% |
Video posts are about twice as likely to become a 5×+ outlier as image posts, and their median engagement is more than double. Yet three-quarters of everything published is still images — a gap between what performs and what gets made.
What this means
- Chase the outlier, not the volume. With the top 1% capturing 71% of engagement, one breakout is worth more than a month of average posts. Raise your hit-rate, not your post count.
- Video is the highest-odds format for a breakout — and it is under-used relative to how it performs.
- Judge by the baseline multiple, not raw views. A big-view post that barely clears its median did not outperform; a small-account post at 15× did. The multiple is the honest signal.
You can put a single post to this test in the free Baseline Beat Checker, read the definition of a content outlier, or see real outliers by topic.
FAQ
What is a baseline multiple?
A post's engagement divided by the median engagement of the same page. It measures how far a post beat its own account's norm, independent of audience size.
How many posts did the study cover?
19,624 public Facebook posts across 1,058 pages and 44 niches, all measured by baseline multiple. Figures are aggregate and anonymised.
Why does the top 1% capture so much?
Social distribution is driven by early engagement, so a small set of posts that beat their baseline get pushed to far more people — compounding into the vast majority of total engagement.
Is video always better than image?
On average video has a higher outlier rate and higher median engagement, but any format can break out if it beats its baseline. Video simply has better odds.