Ad creative lasts about three to four exposures per person, which is a quantity of impressions rather than a number of days. Convert it with your own numbers: lifetime impressions equals your frequency ceiling times the audience you actually reach, and dividing that by your daily impressions gives you days. This is why the same video runs for a month in one account and dies in five days in another, with nothing different about the video.
Creative lifetime is a frequency budget, not a calendar
Every creative gets a fixed amount of attention from a given audience, and habituation spends it. Meta internal research cited in our 2026 fatigue benchmark puts CTR down 45 percent after a fourth exposure to the same creative, and the same report identifies weekly frequency of 2.5 on Meta prospecting as where decline begins. Treat those as the fuel tank: roughly 2.5 to 3 frequency on Meta, about 3 on TikTok, and 3 to 7 a week on YouTube in-stream before replacement is overdue.
So the honest unit of creative lifetime is impressions:
Lifetime impressions = frequency ceiling times the audience you actually reach
Note the word actually. Audience size in the targeting panel is not reach. Platforms typically reach 30 to 50 percent of an audience in a month, less on small lists and more when you are spending hard, so use reported reach from a month of delivery rather than the potential-audience estimate. Getting this wrong is the most common reason people conclude the decay curve does not apply to them.
Converting impressions into days
Two lines of arithmetic:
Daily impressions = daily budget divided by CPM, times 1,000 Days of life = lifetime impressions divided by daily impressions
A worked example. A DTC account on Meta feed, reaching 300,000 people, with a frequency ceiling of 2.5:
- Lifetime impressions = 2.5 times 300,000 = 750,000
- At a 500 daily budget and a 12 CPM, daily impressions = 500 divided by 12, times 1,000 = 41,667
- Days of life = 750,000 divided by 41,667 = 18 days
Now scale the budget and change nothing else. At 2,000 a day the same creative buys 166,667 impressions daily, and 750,000 divided by 166,667 is 4.5 days. Four times the spend, a quarter of the lifespan. The creative that lasted a fortnight now lasts a long weekend, and no amount of production quality changes that.
A third case, to show the other extreme. A B2B account reaching 8,000 people from a 20,000 person list, tolerating 4 exposures because the sales cycle needs the repetition: lifetime is 32,000 impressions. At a 200 daily budget and a 45 CPM that is 4,444 impressions a day, so about 7 days. Small audience, small budget, and it still burns faster than the DTC example spending more than twice as much.
Our ad fatigue calculator runs this with your own reach, budget and CPM, including the share of delivery going to your winner, which is the correction most people forget.
The range across placements
Same formula, different ceilings, and a fixed 250,000 reached audience so the columns are comparable:
| Placement | Weekly frequency ceiling | Lifetime impressions at 250,000 reach | Days at 40,000 impressions daily | Days at 150,000 impressions daily |
|---|---|---|---|---|
| Meta feed | 2.5 | 625,000 | 15.6 | 4.2 |
| Meta Reels | 2.5 | 625,000 | 15.6 | 4.2 |
| TikTok in-feed | About 3.0 | 750,000 | 18.8 | 5.0 |
| YouTube in-stream | 3 to 7, say 5 | 1,250,000 | 31.3 | 8.3 |
TikTok looks generous in that table and is not, because the other half of the equation is CTR. Our benchmark report puts TikTok's median video CTR at 0.84 percent against 1.62 percent on Meta feed, so the same number of clicks costs roughly 1.9 times the impressions. You spend the larger frequency budget faster to get the same result.
The vertical you sell in moves the answer as much as the placement does. Our benchmark report measures days to a 40 percent CTR decline as 9 days for food and beverage, 12 to 14 for fashion, about 18 for beauty and DTC, about 21 for electronics and about 28 for B2B SaaS. Those figures already blend typical budgets and audience sizes for each vertical, which is why they broadly agree with the arithmetic above: 18 days for a DTC account is exactly what the worked example produced.
| Vertical | Days to a 40 percent CTR decline | What that implies |
|---|---|---|
| Food and beverage | 9 | Weekly replacement, no exceptions |
| Fashion | 12 to 14 | Fortnightly, tighter in a launch |
| Beauty and DTC | About 18 | Fortnightly |
| Electronics | About 21 | Every three weeks |
| B2B SaaS | About 28 | Monthly by vertical, faster if the list is small |
Across everything the report covers, most creative is effectively dead within three weeks: CTR falls 15 to 20 percent in the first two weeks, week three lands 45 to 70 percent below the launch baseline, and by week five a creative averages 38 percent below its peak.
Why your best performers die first
This is counterintuitive and it costs teams real money.
Delivery concentrates. In a ten-ad set, 60 to 70 percent of impressions typically land on the winner, so that one creative accumulates frequency at six or seven times the rate of the average ad in the set. Its impression budget is the same as everyone else's. It spends it first.
Then people help it along. A winner gets a budget increase, which shortens its remaining life in direct proportion. It gets duplicated into ad sets that overlap the same people. It gets left running because pausing something profitable feels wrong. Every one of those decisions is reasonable, and every one brings the week-three cliff closer.
There is a third effect. A winner wins because it resonates with a particular segment, and the algorithm keeps showing it to that segment. So the frequency your reporting shows as a set average is heavily concentrated on the people who liked the ad most, which means your most valuable audience reaches the fourth exposure well before your dashboard suggests anyone has.
The practical response is not to punish success. It is to keep the winner running while a fresher variation of the same concept is already live at low budget, so when the drop comes you promote rather than produce. Understanding creative fatigue as a spend-down of a fixed impression budget makes that timing obvious: you know roughly how many impressions are left, so you know when the replacement has to be ready.
Working out your own number
Four figures, ten minutes:
- Reported reach for the ad set over the last 30 days. Not audience size.
- Your placement's frequency ceiling: 2.5 on Meta, about 3.0 on TikTok.
- Daily impressions, either straight from reporting or from budget divided by CPM, times 1,000.
- The share of impressions your top creative is taking, from the ad-level view.
Multiply the first two, divide by the third, then multiply by the fourth to get the winner's own timeline rather than the set's. Put that date in the calendar the day the ad launches, then work backwards: if the winner has nine days, the replacement is briefed on day four and live on day seven.
That last step is where most plans fail, because production capacity, not the calendar, decides whether a replacement exists. We built Genyad for that gap: footage you already own, transcribed and tagged once, then each variation generated as a new script, shot selection, voiceover, caption set and export rather than a re-cut of the same timeline, at one credit each. It does not forecast anything for you. There are no predicted performance scores, no dashboard, and no direct publishing to Meta or TikTok, so the reach, frequency and CPM numbers above come out of your platform reporting and the arithmetic is yours to do.
Frequently asked questions
How long does a Facebook ad last before it needs replacing?
Around 15 to 18 days for a typical DTC account, and as little as four or five days if you are spending hard against a modest audience. The controlling number is impressions rather than days: multiply your reached audience by a frequency ceiling of 2.5 and divide by your daily impressions. Our benchmark report puts beauty and DTC at about 18 days to a 40 percent CTR decline, which matches that arithmetic closely.
Does increasing budget shorten how long creative lasts?
Yes, roughly in proportion. Frequency is impressions over reach, so doubling daily spend against the same audience halves the calendar life of the creative. A creative with 750,000 impressions of useful life lasts 18 days at 41,667 impressions a day and 4.5 days at 166,667.
Why does the same ad last longer for another advertiser?
Because their accumulation rate is different. Budget divided by reached audience decides how fast anyone spends a creative's impression budget, so a modest spend against a large audience can run one video for weeks while an aggressive spend against a narrow audience burns an identical video in days. Placement and vertical shift it further, from 9 days in food and beverage to about 28 in B2B SaaS.
Can I extend the life of a creative rather than replacing it?
Only marginally, and only by slowing delivery. Cutting budget, capping frequency or broadening the audience all slow the spend-down, and broadening buys roughly a week per doubling of reach. None of them refills the tank, because habituation belongs to the viewer rather than to the media buy.