// Manifesto

The UGC economy solved the wrong problem.

For five years, every tool built for creator advertising made one thing cheaper: production. Marketplaces for faces. Briefing apps for scripts. Editing suites for polish. Now AI generators for infinite synthetic creators on demand. The industry got extraordinarily good at making ads.

And across 61,632 wellness ads, the median one still dies in six days.

Cheaper to make was never the same as built to last.

The kill curve

UGC won performance advertising outright. In the Wellness Ad Index, 73% of style-classified creatives are lo-fi and creator-shot, and 80% are fronted by an everyday consumer, not an influencer, not a celebrity. The creator-style ad is not a trend inside the category. It is the category's medium.

6 days
median ad lifespan
52%
dead within a week
86%
dead within two weeks
30%
are variants of another ad

This is the kill curve, and it describes how creator ads actually get made: produce a batch, launch it blind, let the auction execute the losers, repeat. The industry calls it testing. Structurally it is burning, and every dead ad takes its lesson down with it. Cheap production without accumulated evidence does not slow the burn. It feeds it.

Two frontiers

The whole industry is optimizing one side of a two-sided problem.

The old frontier
UGC ad intelligence
Optimizes for
The cost of making ads
The odds an ad survives
You brief from
The feed, on taste
The record, on evidence
The stack sells
Supply: faces, scripts, generators
Demand: the record of what worked
An ad is
A disposable test
A data point with a history
Winning looks like
More ads, faster
Fewer ads, longer-lived
What AI changes
Supply becomes infinite
Evidence becomes the scarce asset

Look at what the UGC economy sells and every layer points one direction: make more, faster, cheaper. Nothing in the stack remembers. Meta's Ad Library shows every ad ever run, free, and explains none of it: no survival history, no structure, no memory of what a thousand dead ads had in common. So teams scroll it for inspiration and feed the curve.

Brief from the record, not the feed.

The category: UGC ad intelligence

UGC ad intelligence is the demand side the UGC economy never built: the discipline of knowing what creator-style advertising actually works before producing more of it. Survival histories on every ad. Creative structured and scored, format, hook, speaker, claim, target, production style. The patterns of what a category launches, kills, and keeps, held in one record and consulted before the next brief.

Ad intelligence is a real category with a long lineage: television has had its measurement houses and ad archives for decades. What it never had is the UGC half, where the volume, the churn, and the money now live. That absence is the whole opportunity. When AI makes creative supply infinite, the record of what survives is the only thing left that is scarce.

The evidence, in tiers

Easiest to verify first, then the claims that need a second look.

Tier 1 · check it yourself

The kill curve is real and it is severe.

61,632 ads across 19 brands, every one with an observed run window. Median life: 6 days. It is all browsable, ad by ad, in the archive, with the full method in The Anatomy of Wellness Advertising.

Tier 2 · structural

UGC is not a tactic here. It is the medium.

73% of production is lo-fi creator-style; 80% of on-camera talent is an everyday consumer. Any intelligence layer for this category is, by definition, UGC ad intelligence.

Tier 3 · the bold one

Real intelligence will sometimes tell a brand to make less UGC.

Polished production outlives lo-fi by 33% (a 12-day median run against 9). A record that only ever flattered the creator-ad reflex would be marketing, not measurement.

Nuance. This is not 'polish wins.' Lo-fi dominates volume precisely because it is cheap to test, and that is rational. The point is narrower and harder: the record, not the reflex, should decide, and the record does not always agree with the reflex.

What the record lets you do

  • 01Kill the variant before you make it, when the record already shows its format and angle burning out across the category.
  • 02Brief into whitespace: the persona, function, or format the whole category has left uncovered, priced by how the nearest neighbors performed.
  • 03Read a competitor's live strategy off their survivors, the ads they refuse to kill are the ads that are working.
  • 04Settle the taste argument with a number, and put the number next to the ad so a human can still overrule it.

The dictionary, free

These words are not trademarked, and that is deliberate. Use them without us in the room.

UGC ad intelligence
The demand side of the UGC economy: knowing what creator-style advertising works, from the record, before producing more.
Kill curve
A category's ad-survival distribution. In wellness: half dead in 7 days, 86% in 14.
Test-and-burn
Producing creative batches for the auction to execute, with no accumulated record of the lessons.
Ad survival
Observed runtime as the honest performance proxy: brands kill losers fast, so longevity implies budget earned.
Creative burn rate
The share of produced creative dead within one week of launch.
Brief from the record
Starting creative from survival evidence and coverage whitespace instead of scrolling the feed for taste.

The honest limits

The Ad Library exposes creative and runtime, not spend or conversions, so survival is an inference, not a measurement: brands kill losers fast, which makes longevity the best available public proxy for budget earned. Creative scores are model judgments against fixed rubrics, kept next to each ad so a human can check them. The methodology is documented here, and the data behind every number above is in the anatomy report.

The kill curve is not a law of nature. It is what UGC advertising looks like with the intelligence half missing.

Consult the Wellness Ad Index →