Data Study
Every ad in our benchmark is a verified TikTok top performer — and 20 of the 76 still have a moment where predicted attention falls off a cliff and stays down. The median crash: 7.6 seconds in.
A "crash" here is strict: predicted attention dropping more than 35 points from its recent local peak into the ad's low zone and staying there for 3+ seconds — not ordinary curve wobble. By that bar, 26% of proven top ads crash. The crashes cluster early: 11 of 20 happen inside the first 10 seconds, and the median crash position is 35% of the way through the runtime. Attention doesn't erode gently at the end — it snaps right after the opening material runs out, exactly the window covered in how many seconds before viewers swipe.
The fatal kind — peak at zero, crash by 4. The bottom three ads in the benchmark all share one shape: their best moment is the literal first frame, and attention collapses within ~4 seconds (#76 crashes at 4.3s, #74 at 3.0s). Great thumbnail, no second act. The survivable kind — crash after the peak. The #1 ad in the entire set crashes at 36.3s — but its peak hit at 26s and the sale is already made; the crash is just the outro. Crash position, not crash existence, is what separates them.
Across all 76 ads the median attention peak lands 57% of the way through the runtime — only 17 ads peak in their first third. Combine the two distributions and you get the real pacing brief for a TikTok ad: survive second 4 through 10 (where crashes concentrate), then escalate into a peak somewhere past the midpoint. Ads built as "hook + filler + CTA" die in that 4–10s corridor; ads built as escalating reveals sail through it. For how to read these shapes on your own report, see how to read an attention curve.
A live campaign eventually shows you drop-off in retention analytics — after you've paid for every one of those abandoned views. The pre-spend version: upload the ad, and the report marks the crash second (if there is one), the peaks worth building around, and how much predicted attention survives into the CTA window. Then fix the edit — a cut, a reveal moved earlier, a text overlay — and re-score to confirm the crash is gone before the media budget goes live. The playbook pairs well with when to kill a losing ad.
Find out before the impressions are paid for — up to 8 free credits, no card.
Find My Crash PointIn our 76-ad benchmark of proven top performers, 20 ads (about 1 in 4) show a sustained predicted-attention crash. The median crash lands at 7.6 seconds — and 11 of the 20 crashes happen inside the first 10 seconds. Attention rarely dies at the end of an ad; it dies about a third of the way in, right after the hook's promise either pays off or doesn't.
Run the ad through an attention model before spending. A PreTestAds report marks the exact second where predicted attention falls sharply and stays low, plus the peak moments around it — so you know whether to tighten the edit, move a reveal earlier, or add a pattern interrupt before the crash point.
Yes — including the #1 ad in our benchmark, which crashes at 36 seconds of its 42-second runtime, after its peak and message have already landed. The difference between a fatal crash and a harmless one is placement: a crash after your peak and CTA setup costs little, a crash at 7 seconds costs almost everyone.