{"id":42023,"date":"2026-07-13T06:46:14","date_gmt":"2026-07-13T06:46:14","guid":{"rendered":"https:\/\/adspyder.io\/blog\/?p=42023"},"modified":"2026-07-13T06:46:14","modified_gmt":"2026-07-13T06:46:14","slug":"how-long-brands-run-ads","status":"publish","type":"post","link":"https:\/\/adspyder.io\/blog\/how-long-brands-run-ads\/","title":{"rendered":"How Long Do Brands Stay Active on Each Ad Platform? Domain Longevity Data From AdSpyder"},"content":{"rendered":"

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Quick answer:<\/strong> If you want to know how long brands run ads<\/strong>, AdSpyder’s observed data shows LinkedIn ads stay active longest: a 43.3-day median and 70.7% observed for 30+ days. Meta and YouTube sit in the middle, while Google Search, Bing and Display refresh much faster. Use URL Domain Analysis<\/a> to compare this benchmark with a specific competitor.<\/p>\n<\/div>\n

Brand managers often treat every ad platform as if it follows the same campaign rhythm. The data says otherwise: some platforms keep creatives visible for weeks, while others turn over ads in days or even within the same observation date.<\/p>\n

This AdSpyder Original compares observed ad lifespan across six platforms using median duration, mean duration and the share of ads that remain observable for at least 30 days. It measures creative persistence<\/strong>, not spend, CTR, ROAS or confirmed campaign end dates.<\/p>\n

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Table of contents<\/p>\n

Platform benchmark<\/a>
\nWhat each platform signals<\/a>
\nHow to use the data<\/a>
\nCompetitor workflow<\/a>
\nMethodology<\/a>
\nFAQs<\/a><\/div>\n<\/div>\n
AdSpyder Original<\/span><\/p>\n

Brand ad platform longevity: the key data<\/h2>\n
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43.3 days<\/div>\n

LinkedIn median observed lifespan<\/p>\n<\/div>\n

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70.7%<\/div>\n

LinkedIn ads observed for 30+ days<\/p>\n<\/div>\n

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0.2%<\/div>\n

Display ads observed for 30+ days<\/p>\n<\/div>\n<\/div>\n

\n\n\n\n\n\n\n\n\n\n\n
Platform<\/th>\nMedian observed days<\/th>\nMean observed days<\/th>\nObserved 30+ days<\/th>\nPractical pattern<\/th>\n<\/tr>\n<\/thead>\n
LinkedIn<\/td>\n43.3<\/td>\n75.3<\/td>\n70.7%<\/td>\nLongest lifecycle<\/td>\n<\/tr>\n
Meta real-time<\/td>\n4.0<\/td>\n52.4<\/td>\n29.8%<\/td>\nFast testing with a long tail<\/td>\n<\/tr>\n
YouTube<\/td>\n5.1<\/td>\n30.3<\/td>\n22.1%<\/td>\nShort median, durable winners<\/td>\n<\/tr>\n
Bing<\/td>\n0.0<\/td>\n10.8<\/td>\n8.1%<\/td>\nMostly short observed runs<\/td>\n<\/tr>\n
Google Search<\/td>\n0.0<\/td>\n6.5<\/td>\n4.9%<\/td>\nHigh creative turnover<\/td>\n<\/tr>\n
Display<\/td>\n0.0<\/td>\n0.5<\/td>\n0.2%<\/td>\nFastest observed refresh<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
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How to read zero-day medians:<\/strong> a median of 0.0 means at least half of the ads had the same first-seen and last-seen date in the archive. It does not prove that every campaign was stopped within one day.<\/p>\n<\/div>\n

Source: AdSpyder platform analysis, June 2026. Lifespan is calculated from observed first-seen and last-seen dates.<\/p>\n<\/section>\n

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Check whether a competitor is persistent or just testing<\/h2>\n

Enter a domain, map its platform presence and inspect the ads behind the pattern.<\/p>\n

Analyze a Competitor Domain<\/a><\/p>\n<\/div>\n

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What does the lifespan pattern signal on each platform<\/h2>\n

LinkedIn: the persistence platform<\/h3>\n

LinkedIn is the clear outlier. Its 43.3-day median is more than ten times Meta’s four-day median, and 70.7% of ads remain observable for at least 30 days. That 30-day survival rate is 2.4 times Meta’s and more than 14 times Google Search’s.<\/p>\n

For brand managers, the practical takeaway is simple: do not judge a competitor’s LinkedIn strategy from one weekly snapshot. Use the LinkedIn Ad Library<\/a> to review messaging that remains visible across a longer buying cycle.<\/p>\n

Meta: fast experimentation plus durable exceptions<\/h3>\n

Meta has a four-day median but a 52.4-day mean. That gap reveals a skewed distribution: many ads disappear quickly, while a smaller group remains observable for much longer.<\/p>\n

The useful research target is not every new creative. It is the minority that survives repeated refresh cycles. Search a competitor in Facebook Ads Spy<\/a>, then compare first-seen and last-seen dates before treating an idea as persistent.<\/p>\n

YouTube: a short median with a meaningful long tail<\/h3>\n

YouTube’s median is 5.1 days, but its mean reaches 30.3 days and 22.1% of ads cross the 30-day mark. This suggests a portfolio where many videos are tested briefly and a smaller set keeps running.<\/p>\n

Use the YouTube Ads Spy<\/a> to separate one-off launches from repeatable video concepts.<\/p>\n

Search and Display: expect frequent turnover<\/h3>\n

Google Search, Bing and Display all have zero-day medians in the observed dataset. Their means are also much lower: 6.5 days for Google Search, 10.8 for Bing and 0.5 for Display.<\/p>\n

This does not automatically mean weak campaigns. Search advertisers can rotate copy, keywords, geographies and landing pages without abandoning the underlying offer. Review repeated themes in Google Ads Spy<\/a> rather than expecting one unchanged ad to remain visible for months.<\/p>\n<\/section>\n

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How brand managers should use ad longevity data<\/h2>\n

Ad longevity is most useful as a confidence-ranking signal<\/strong>. A creative observed for 60 days deserves more attention than one observed once, but duration alone cannot tell you why it stayed active.<\/p>\n

\n\n\n\n\n\n\n\n
Observed pattern<\/th>\nWhat it may indicate<\/th>\nYour next check<\/th>\n<\/tr>\n<\/thead>\n
Many short-lived ads<\/td>\nRapid testing, local variants or frequent copy rotation<\/td>\nFind repeated hooks, offers and landing pages<\/td>\n<\/tr>\n
A few long-running ads<\/td>\nA durable control creative or evergreen message<\/td>\nCompare its angle with newer variants<\/td>\n<\/tr>\n
Long presence across platforms<\/td>\nConsistent category investment or an always-on acquisition model<\/td>\nCheck whether the same offer and landing page persist<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
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Do not call a long-running ad a winner without performance data.<\/strong> AdSpyder shows persistence and creative history, not the advertiser’s private CTR, conversion rate, spend or ROAS.<\/p>\n<\/div>\n<\/section>\n

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How to measure a competitor’s ad platform commitment<\/h2>\n
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1<\/div>\n
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Enter the competitor domain<\/h3>\n

Open AdSpyder URL Domain Analysis<\/a> and enter the main domain, not a campaign-specific tracking URL.<\/p>\n<\/div>\n<\/div>\n

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2<\/div>\n
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Map its platform distribution<\/h3>\n

Record where the domain has an observable ad presence. Separate core channels from platforms that show only occasional activity.<\/p>\n<\/div>\n<\/div>\n

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3<\/div>\n
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Inspect creative-level dates<\/h3>\n

Open the platform-specific results and compare first-seen with last-seen dates. Look for repeated 30+ day creatives, not a single isolated example.<\/p>\n<\/div>\n<\/div>\n

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4<\/div>\n
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Classify the strategy<\/h3>\n

Label the competitor as persistent, burst-led or mixed on each platform. Compare its pattern with the benchmark instead of applying one universal duration rule.<\/p>\n<\/div>\n<\/div>\n

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Best practice:<\/strong> review the same competitors on a fixed monthly cadence. A single snapshot shows ads; repeated snapshots show commitment.<\/p>\n<\/div>\n<\/section>\n

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Methodology and Limitations<\/h2>\n

AdSpyder stores observed ads with platform, advertiser identifier, creative content, country, first-seen date and last-seen date. The platform benchmark compares the elapsed observation period for ads where comparable lifespan data was available.<\/p>\n