Inside every spend tier, the top-quartile accounts by winner count consistently test more creative than the tier average. This is the within-tier version of the cross-tier pattern documented elsewhere in this report — volume produces winners.
| Spend tier | All accounts creative vol | Top 25% creative vol | All accounts winners/mo | Top 25% winners/mo |
|---|---|---|---|---|
| Micro (<$10K) | 2.8 | 4.8 | 0.0 | 0.0 |
| Small ($10K–$50K) | 4.1 | 8.0 | 0.2 | 0.5 |
| Medium ($50K–$200K) | 6.6 | 15.9 | 0.7 | 2.0 |
| Large ($200K–$1M) | 11.2 | 31.1 | 1.7 | 5.9 |
| Enterprise ($1M+) | 18.8 | 54.6 | 3.9 | 10.4 |
Top 25% = accounts with winner count in the top quartile within that spend tier. Creative vol = average creatives per week. Winners/mo = average winners surfaced per month.
The gap grows with tier
The volume multiplier of top-quartile vs. tier average is not constant — it grows as tiers get bigger:
- Micro: 4.8 / 2.8 = 1.7× more creative at top-quartile
- Small: 8.0 / 4.1 = 2.0×
- Medium: 15.9 / 6.6 = 2.4×
- Large: 31.1 / 11.2 = 2.8×
- Enterprise: 54.6 / 18.8 = 2.9×
The spread widens with scale. At Enterprise, the top 25% ship nearly 3× more creative than the median Enterprise advertiser. At Micro, the top quartile is pulling about 1.7× more.
Winners scale roughly proportionally
The absolute winner output follows the volume:
- Micro: 0.0 → 0.0 winners/month (both tier and top-quartile average near-zero because volume is low enough that monthly winners are fractional)
- Small: 0.2 → 0.5 (2.5× more)
- Medium: 0.7 → 2.0 (2.9×)
- Large: 1.7 → 5.9 (3.5×)
- Enterprise: 3.9 → 10.4 (2.7×)
Top-quartile accounts within each tier aren't producing dramatically higher hit rates — they're producing dramatically higher absolute winner counts because they're shipping more.
What to take from this
For any advertiser, the useful benchmark isn't "how do I compare to all Meta advertisers" — it's "how do I compare to the top quartile within my own tier." Two reads:
If your volume is near tier average: You're tracking the middle of your peer group. To move into the top quartile, the evidence suggests you need to approximately double your weekly testing cadence — and accept that the hit rate will stay around tier norms.
If your volume is near top-quartile for your tier: You're operating at the level that produces the most winners in the data. The question becomes whether you can sustain that cadence without creative quality degradation — top-quartile output that still produces tier-average hit rate is the healthy state.
Why this gap persists
Three plausible mechanisms:
- Better operational infrastructure. Top-quartile accounts likely have more production capacity, better briefing processes, and faster review cycles. That infrastructure enables volume.
- Tighter feedback loops. Higher-volume testing produces more signal, which makes winner identification faster, which drives stronger creative iteration, which feeds more volume. The loop compounds.
- Different budget discipline. Top-quartile accounts are probably more willing to kill mid-range ads quickly to fund new tests. Average accounts may let mid-range ads run longer out of risk aversion.
The chart doesn't separate these. But it does show that whatever's happening at the top quartile is a volume pattern more than a hit-rate pattern.