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Creative hit rate — what the spend data says and why Barry Hott calls it misleading

Ad creative is a hits business — CTC's 504-store / $3.35B Meta dataset shows only 24% of ads ever spend $100, 7.2% reach $1K, 1.8% $5K and 0.9% become "whales" (≈1 in 100); Motion's 550K-ad study finds ~5% real winners — plus Barry Hott's case that a binary hit rate (or one judged on CPA/ROAS) pushes teams to safe iterations, and that sources should be judged by the spend their ads carry.

Updated 2026-10-24·3 sources·ad-creativecreative-testinghit-ratemeta-adscreative-volumeagencies

Creative hit rate and spend tiers

TL;DR

  • Treat ad creative as a hits business: a few ads take most of the results, so volume bends the odds — no one can predict which of 100 ads will win.12
  • CTC benchmark (504 stores, $3.35B Meta spend, 7-day click, trailing 365 days): 74% of ads get any spend, 24% pass $100, 7.2% pass $1K, 1.8% pass $5K, 0.9% become whales — creation-to-whale ≈ 1 in 100.34
  • Whales are ~1% of new ads but take 41% of new-ad spend; winners are ~5% of ads and take 34%.5
  • Barry Hott: a “20% hit rate” brag is a binary metric in a non-binary game — it ignores volume, cost per ad, scale and how long the ad lives.6
  • If you must count hits, count them by spend carried, never by CPA/ROAS thresholds.7

Details

The distribution. CTC (Adrianne, VP Performance Creative) measured how far new ads get in spend. Half of everything never meaningfully spends; with AOV above $100, an ad under $100 of spend may not even get one purchase.3 Motion’s 2026 benchmark (550K ads, $1.3B spend, 6,000 advertisers) shows the same shape: about 5% of ads become real winners, roughly half get minimal or zero spend, and top advertisers ship 12–19+ new evergreen creatives a week with hit rates more than double those of smaller accounts.8 CTC’s conclusion: stop over-strategising each ad and make enough of them for the math to work.4

Why a hit-rate target backfires (Barry Hott).

  • It counts a single base hit the same as a grand slam: a 6-week ad and a 2-year evergreen are both “1 win”.9
  • High hit rates usually come from safe iterations that sustain the account but rarely move it; the trajectory-changing ads may take 50–1,000 concepts to find.10
  • It ignores cost per ad: a $100K production needs a near-100% hit rate; a free phone-shot “ugly ad” can live with 0.001%. In 2026 he sees, if anything, an inverse link between production cost and performance.11
  • Agencies push it because fewer, safer creatives are cheaper to make. A falling hit rate (20% → 5% → 0.5%) is fine if it comes from testing wild angles, new formats and risky hooks.1213

What to measure instead. Evaluate agencies, editors and other creative sources on how much spend their ads can carry and how long they last — “make ads that scale, make more ads that scale”.7 His pop quiz: “2 wins out of 10 vs 3 out of 100” is unanswerable without cost per source and spend per win.14 Volume should be guided volume, not blind — and if you force budget onto every new ad you have a media-buying problem, not a volume problem.15

Disagreements / caveats

  • CTC uses tiered hit rates (dust → whale, by spend) as a planning input, while Barry rejects hit rate as a goal. They agree on the core: rank by spend, expect few winners, keep volume up.37
  • Smart Marketer’s testing SOP sets a 20–30% hit-rate goal per test round (The Meta ads testing engine for ecommerce — discovery, optimization, scaling). That figure is a target for one test cell, so it can’t be compared with CTC’s 1-in-100 creation-to-whale rate.
  • Ovadia Lebaton (The Perfect Jean) judges agencies on whether the work passes his “gut” test, not on spend or ROAS. Even so, he admits ads he disliked went on to spend $500K.16
  • CTC’s figures come from its own client base (7-figure to 9-figure e-commerce). App advertisers report a similar ~1-in-85 winner rate (Creative volume and hit rate — why you need dozens of ads per winner).

See also

Footnotes

  1. The Math Behind Creative Hits (With Real Spend Data) @ 04:12 — Adrianne (CTC) ↩

  2. The Math Behind Creative Hits (With Real Spend Data) @ 05:47 — Adrianne (CTC) ↩

  3. The Math Behind Creative Hits (With Real Spend Data) @ 05:00 — Adrianne (CTC) ↩ ↩2 ↩3

  4. The Math Behind Creative Hits (With Real Spend Data) @ 05:47 — Adrianne (CTC) ↩ ↩2

  5. The Math Behind Creative Hits (With Real Spend Data) @ 12:41 — Adrianne (CTC) ↩

  6. Who cares about ad hit rate?! @ 00:00 — Barry Hott ↩

  7. Who cares about ad hit rate?! @ 12:24 — Barry Hott ↩ ↩2 ↩3

  8. The Math Behind Creative Hits (With Real Spend Data) @ 06:36 — Adrianne (CTC), citing Motion’s 2026 benchmark ↩

  9. Who cares about ad hit rate?! @ 01:36 — Barry Hott ↩

  10. Who cares about ad hit rate?! @ 02:30 — Barry Hott ↩

  11. Who cares about ad hit rate?! @ 03:38 — Barry Hott ↩

  12. Who cares about ad hit rate?! @ 09:39 — Barry Hott ↩

  13. Who cares about ad hit rate?! @ 16:19 — Barry Hott ↩

  14. Who cares about ad hit rate?! @ 15:21 — Barry Hott ↩

  15. Who cares about ad hit rate?! @ 06:25 — Barry Hott ↩

  16. I spoke to 3 Founders about MAKING ADS (feat. Dara Denney) @ 22:56 — Ovadia Lebaton ↩