{"id":42366,"date":"2026-09-15T05:18:42","date_gmt":"2026-09-15T05:18:42","guid":{"rendered":"https:\/\/adspyder.io\/blog\/?p=42366"},"modified":"2026-09-15T05:18:42","modified_gmt":"2026-09-15T05:18:42","slug":"ad-creative-refresh-frequency","status":"publish","type":"post","link":"https:\/\/adspyder.io\/blog\/ad-creative-refresh-frequency\/","title":{"rendered":"How Often Do Winning Advertisers Change Their Ad Creative?"},"content":{"rendered":"<div style=\"max-width: 900px; margin: 0 auto; padding: 16px 16px 60px; font-family: Inter,system-ui,-apple-system,'Segoe UI',Roboto,Arial,sans-serif; color: #111827; line-height: 1.65; background: #fff; font-size: 17px;\">\n<div style=\"margin: 0 0 14px;\"><span style=\"display: inline-block; background: #fff3eb; color: #ff711e; padding: 5px 14px; border-radius: 999px; font-size: 13px; font-weight: 800; text-transform: uppercase; letter-spacing: .6px;\">AdSpyder Original Research \u00b7 Creative Strategy<\/span><\/div>\n<p><!-- H1 --><\/p>\n<p><!-- QUICK ANSWER --><\/p>\n<div style=\"background: #fff8f3; border-left: 5px solid #ff711e; border-radius: 12px; padding: 20px 24px; margin: 0 0 26px;\">\n<p style=\"margin: 0 0 11px; font-size: 13px; font-weight: 900; text-transform: uppercase; color: #ff711e;\">Quick Answer<\/p>\n<ul style=\"margin: 0; padding-left: 22px; color: #374151; font-size: 16px; line-height: 1.7;\">\n<li style=\"margin-bottom: 7px;\">There is <strong>no universal ad creative refresh frequency<\/strong> that works across every platform.<\/li>\n<li style=\"margin-bottom: 7px;\">In AdSpyder&#8217;s May 2026 sample of 24,650 ads, <strong>54% were observed for less than 7 days<\/strong>.<\/li>\n<li style=\"margin-bottom: 7px;\"><strong>22% lasted 30+ days<\/strong>, while only 9.4% remained observable for 90+ days.<\/li>\n<li style=\"margin-bottom: 7px;\">Meta had a 4-day median observed lifespan, YouTube 5.1 days and LinkedIn 43.3 days.<\/li>\n<li style=\"margin-bottom: 7px;\">Active advertisers also run multiple variants: Amazon Sponsored campaigns had a median of 5 variants, while Google Shopping had 16.<\/li>\n<li>Winning advertisers do not simply replace everything on a schedule. They test continuously, kill weak variations quickly and keep proven creatives running longer.<\/li>\n<\/ul>\n<\/div>\n<p style=\"font-size: 18px; color: #374151; margin: 0 0 16px;\">Ask a media buyer how often ads should be refreshed and you will hear familiar answers: every seven days, every two weeks, once frequency reaches three, or whenever CTR begins to decline.<\/p>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 30px;\">AdSpyder&#8217;s archive suggests a more useful answer: <strong>creative refresh frequency is not one calendar rule. It is a portfolio behaviour.<\/strong> Advertisers test many ideas, remove most of them quickly and allow a smaller group of persistent creatives to continue running for weeks or months.<\/p>\n<p><!-- RESEARCH NOTE --><\/p>\n<div style=\"background: #111827; border-radius: 15px; padding: 22px 25px; margin: 0 0 34px;\">\n<p style=\"margin: 0 0 7px; color: #fdba74; font-size: 13px; font-weight: 900; text-transform: uppercase;\">Important Research Distinction<\/p>\n<p style=\"margin: 0; color: #fff; font-size: 17px; line-height: 1.8;\">AdSpyder can observe when competitor ads first and last appear, creative formats and variation volume. It cannot see a competitor&#8217;s private CTR, spend, CPA or ROAS. In this study, <strong>creative persistence is used as an observable market signal\u2014not proof that every long-running ad is profitable.<\/strong><\/p>\n<\/div>\n<p><!-- METHODOLOGY --><\/p>\n<h2 style=\"font-size: 28px; line-height: 1.3; margin: 0 0 12px;\">Methodology and Dataset<\/h2>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 16px;\">This analysis combines two AdSpyder datasets from May 2026.<\/p>\n<h3 style=\"font-size: 20px; line-height: 1.4; margin: 20px 0 7px;\">Dataset 1: Creative lifespan<\/h3>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 16px;\">AdSpyder sampled <strong>24,650 ads with usable first-seen and last-seen date pairs<\/strong> across six advertising environments:<\/p>\n<ul style=\"padding-left: 24px; color: #374151; font-size: 17px; margin: 0 0 25px;\">\n<li style=\"margin-bottom: 8px;\">4,650 LinkedIn ads<\/li>\n<li style=\"margin-bottom: 8px;\">4,000 Meta\/Facebook\/Instagram ads<\/li>\n<li style=\"margin-bottom: 8px;\">5,000 YouTube ads<\/li>\n<li style=\"margin-bottom: 8px;\">4,500 Bing\/Microsoft ads<\/li>\n<li style=\"margin-bottom: 8px;\">1,000 Google Search ads<\/li>\n<li>500 Display ads<\/li>\n<\/ul>\n<h3 style=\"font-size: 20px; line-height: 1.4; margin: 20px 0 7px;\">Dataset 2: Creative variation volume<\/h3>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 16px;\">AdSpyder separately analysed <strong>20,000 real campaigns<\/strong>: 10,000 Amazon Sponsored campaigns and 10,000 Google Shopping campaigns, supplemented with advertiser-level samples from Meta and Google Search.<\/p>\n<div style=\"overflow-x: auto; border: 1px solid #e5e7eb; border-radius: 14px; margin: 0 0 30px;\">\n<table style=\"width: 100%; border-collapse: collapse; font-size: 14px;\">\n<thead>\n<tr style=\"background: #fff3eb;\">\n<th style=\"padding: 11px 13px; text-align: left;\">Measurement<\/th>\n<th style=\"padding: 11px 13px; text-align: left;\">Definition<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>First seen<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">First date AdSpyder observed a creative.<\/td>\n<\/tr>\n<tr style=\"background: #fafafa;\">\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>Last seen<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">Most recent date AdSpyder observed the creative.<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>Observed lifespan<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">Difference between first-seen and last-seen dates.<\/td>\n<\/tr>\n<tr style=\"background: #fafafa;\">\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>Variant count<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">Number of ads or products associated with the campaign\/advertiser unit available in the archive.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 30px;\">Observed duration is a <strong>floor estimate<\/strong>. If an ad is still active today, its final lifetime will be longer than its current observed duration.<\/p>\n<p><!-- EXECUTIVE --><\/p>\n<h2 style=\"font-size: 28px; line-height: 1.3; margin: 34px 0 12px;\">Executive Findings<\/h2>\n<div style=\"display: flex; flex-wrap: wrap; gap: 14px; margin: 0 0 25px;\">\n<div style=\"background: #fff8f3; border: 1px solid #fed7aa; border-radius: 14px; padding: 18px 20px; min-width: 180px; flex: 1;\">\n<p style=\"margin: 0 0 4px; font-size: 30px; font-weight: 900; color: #ff711e;\">54%<\/p>\n<p style=\"margin: 0; font-size: 14px; color: #374151;\">observed for under 7 days<\/p>\n<\/div>\n<div style=\"background: #fff8f3; border: 1px solid #fed7aa; border-radius: 14px; padding: 18px 20px; min-width: 180px; flex: 1;\">\n<p style=\"margin: 0 0 4px; font-size: 30px; font-weight: 900; color: #ff711e;\">22%<\/p>\n<p style=\"margin: 0; font-size: 14px; color: #374151;\">survived for 30+ days<\/p>\n<\/div>\n<div style=\"background: #fff8f3; border: 1px solid #fed7aa; border-radius: 14px; padding: 18px 20px; min-width: 180px; flex: 1;\">\n<p style=\"margin: 0 0 4px; font-size: 30px; font-weight: 900; color: #ff711e;\">9.4%<\/p>\n<p style=\"margin: 0; font-size: 14px; color: #374151;\">observed for 90+ days<\/p>\n<\/div>\n<div style=\"background: #fff8f3; border: 1px solid #fed7aa; border-radius: 14px; padding: 18px 20px; min-width: 180px; flex: 1;\">\n<p style=\"margin: 0 0 4px; font-size: 30px; font-weight: 900; color: #ff711e;\">5 \/ 16<\/p>\n<p style=\"margin: 0; font-size: 14px; color: #374151;\">median Amazon \/ Shopping variants<\/p>\n<\/div>\n<\/div>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 16px;\">The strongest pattern is not simply \u201cads change fast.\u201d It is that the creative portfolio splits into two groups:<\/p>\n<ul style=\"padding-left: 24px; color: #374151; font-size: 17px; margin: 0 0 27px;\">\n<li style=\"margin-bottom: 8px;\"><strong>Test creatives:<\/strong> large numbers enter the market and disappear quickly.<\/li>\n<li><strong>Persistent creatives:<\/strong> a smaller group survives long enough to become durable controls or evergreen assets.<\/li>\n<\/ul>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 30px;\">This is also why AdSpyder&#8217;s <a style=\"color: #ff711e; font-weight: 800; text-decoration: none;\" href=\"https:\/\/adspyder.io\/blog\/how-long-do-ads-run\/\">creative lifespan study<\/a> is more useful than a blanket recommendation to \u201creplace ads every two weeks.\u201d<\/p>\n<p><!-- OVERALL --><\/p>\n<h2 style=\"font-size: 28px; line-height: 1.3; margin: 34px 0 12px;\">Overall Creative Refresh Benchmark<\/h2>\n<div style=\"border: 1px solid #e5e7eb; border-radius: 15px; padding: 22px; margin: 0 0 29px;\">\n<p style=\"margin: 0 0 8px; font-size: 17px; font-weight: 800;\">Under 7 days \u2014 54%<\/p>\n<div style=\"height: 18px; background: #f3f4f6; border-radius: 999px; margin-bottom: 18px; overflow: hidden;\">\n<div style=\"width: 54%; height: 100%; background: #ff711e; border-radius: 999px;\"><\/div>\n<\/div>\n<p style=\"margin: 0 0 8px; font-size: 17px; font-weight: 800;\">7\u201330 days \u2014 24%<\/p>\n<div style=\"height: 18px; background: #f3f4f6; border-radius: 999px; margin-bottom: 18px; overflow: hidden;\">\n<div style=\"width: 24%; height: 100%; background: #fb923c; border-radius: 999px;\"><\/div>\n<\/div>\n<p style=\"margin: 0 0 8px; font-size: 17px; font-weight: 800;\">30+ days \u2014 22%<\/p>\n<div style=\"height: 18px; background: #f3f4f6; border-radius: 999px; margin-bottom: 18px; overflow: hidden;\">\n<div style=\"width: 22%; height: 100%; background: #f59e0b; border-radius: 999px;\"><\/div>\n<\/div>\n<p style=\"margin: 0 0 8px; font-size: 17px; font-weight: 800;\">90+ days \u2014 9.4%<\/p>\n<div style=\"height: 18px; background: #f3f4f6; border-radius: 999px; overflow: hidden;\">\n<div style=\"width: 9.4%; height: 100%; background: #22c55e; border-radius: 999px;\"><\/div>\n<\/div>\n<\/div>\n<p style=\"font-size: 13px; color: #6b7280; margin: 0 0 30px;\">Source: AdSpyder platform data, May 2026. The 90+ day group is contained within the 30+ day cohort.<\/p>\n<p><!-- PLATFORM --><\/p>\n<h2 style=\"font-size: 28px; line-height: 1.3; margin: 34px 0 12px;\">Creative Refresh Frequency Changes Dramatically by Platform<\/h2>\n<div style=\"overflow-x: auto; border: 1px solid #e5e7eb; border-radius: 14px; margin: 0 0 29px;\">\n<table style=\"width: 100%; border-collapse: collapse; font-size: 14px;\">\n<thead>\n<tr style=\"background: #fff3eb;\">\n<th style=\"padding: 11px 12px; text-align: left;\">Platform<\/th>\n<th style=\"padding: 11px 12px; text-align: left;\">Sample<\/th>\n<th style=\"padding: 11px 12px; text-align: left;\">Median Observed Days<\/th>\n<th style=\"padding: 11px 12px; text-align: left;\">30+ Days<\/th>\n<th style=\"padding: 11px 12px; text-align: left;\">Practical Signal<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\"><strong>LinkedIn<\/strong><\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\">4,650<\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\"><strong>43.3 days<\/strong><\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\">70.7%<\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\">Long creative lifecycle<\/td>\n<\/tr>\n<tr style=\"background: #fafafa;\">\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\"><strong>YouTube<\/strong><\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\">5,000<\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\"><strong>5.1 days<\/strong><\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\">22.1%<\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\">Fast tests + durable winners<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\"><strong>Meta<\/strong><\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\">4,000<\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\"><strong>4.0 days<\/strong><\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\">29.8%<\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\">Aggressive testing + long tail<\/td>\n<\/tr>\n<tr style=\"background: #fafafa;\">\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\"><strong>Bing<\/strong><\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\">4,500<\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\">0*<\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\">8.1%<\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\">Rapid observed turnover<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\"><strong>Google Search<\/strong><\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\">1,000<\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\">0*<\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\">4.9%<\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\">High message turnover<\/td>\n<\/tr>\n<tr style=\"background: #fafafa;\">\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\"><strong>Display<\/strong><\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\">500<\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\">0*<\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\">0.2%<\/td>\n<td style=\"padding: 11px 12px; border-top: 1px solid #eee;\">Fastest observed replacement<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p style=\"font-size: 13px; color: #6b7280; margin: 0 0 30px;\">*A median of zero means at least half of sampled ads had matching first-seen and last-seen dates. It does not prove they literally ran for zero or one day.<\/p>\n<p><!-- META --><\/p>\n<h3 style=\"font-size: 20px; line-height: 1.4; margin: 20px 0 7px;\">Meta: Test Fast, but Do Not Automatically Kill Survivors<\/h3>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 16px;\">Meta&#8217;s four-day median might tempt teams to assume every creative should be replaced weekly. That would be the wrong conclusion.<\/p>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 20px;\">Although 54.4% of sampled Meta ads were observed for less than seven days, <strong>29.8% survived 30+ days and 15.5% survived 90+ days<\/strong>. The distribution suggests aggressive testing followed by long retention for a smaller subset.<\/p>\n<p><!-- LINKEDIN --><\/p>\n<h3 style=\"font-size: 20px; line-height: 1.4; margin: 20px 0 7px;\">LinkedIn: A Completely Different Creative Rhythm<\/h3>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 20px;\">LinkedIn had a 43.3-day median observed lifespan, and more than 70% of sampled ads reached 30 days. Applying a Meta-style weekly creative schedule to LinkedIn would therefore ignore how differently advertisers operate on the platform.<\/p>\n<p><!-- SEARCH --><\/p>\n<h3 style=\"font-size: 20px; line-height: 1.4; margin: 20px 0 7px;\">Search: Refresh Messaging, Not Necessarily Visual Assets<\/h3>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 30px;\">Search environments naturally produce more headline, description, keyword and offer combinations. Here, \u201ccreative refresh\u201d is better thought of as <strong>message variation<\/strong> rather than replacing a design asset.<\/p>\n<p><!-- FORMAT --><\/p>\n<h2 style=\"font-size: 28px; line-height: 1.3; margin: 34px 0 12px;\">Format Changes Creative Lifespan Too<\/h2>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 16px;\">Platform averages hide another important variable: format.<\/p>\n<div style=\"overflow-x: auto; border: 1px solid #e5e7eb; border-radius: 14px; margin: 0 0 29px;\">\n<table style=\"width: 100%; border-collapse: collapse; font-size: 14px;\">\n<thead>\n<tr style=\"background: #fff3eb;\">\n<th style=\"padding: 11px 13px; text-align: left;\">Platform \/ Format<\/th>\n<th style=\"padding: 11px 13px; text-align: left;\">Sample<\/th>\n<th style=\"padding: 11px 13px; text-align: left;\">Observed 30+ Days<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>LinkedIn \u2014 Image<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">6,931<\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>91.1%<\/strong><\/td>\n<\/tr>\n<tr style=\"background: #fafafa;\">\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>Meta \u2014 Carousel<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">5,954<\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>39.9%<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>LinkedIn \u2014 Video<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">1,956<\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">39.8%<\/td>\n<\/tr>\n<tr style=\"background: #fafafa;\">\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>Meta \u2014 Video<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">8,299<\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">26.2%<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>Meta \u2014 Single Image<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">5,271<\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">23.3%<\/td>\n<\/tr>\n<tr style=\"background: #fafafa;\">\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>YouTube \u2014 Video<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">5,000<\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">22.1%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 16px;\">On Meta, carousel creatives produced the strongest 30-day persistence signal in AdSpyder&#8217;s current feed: 39.9%, versus 26.2% for video and 23.3% for single-image ads.<\/p>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 30px;\">LinkedIn behaves differently again: image ads reached 91.1% observed 30-day persistence in the sampled archive. The broader <a style=\"color: #ff711e; font-weight: 800; text-decoration: none;\" href=\"https:\/\/adspyder.io\/blog\/competitor-best-performing-ad-format\/\">ad-format survival study<\/a> shows why refresh planning should consider format as well as platform.<\/p>\n<p><!-- VOLUME --><\/p>\n<h2 style=\"font-size: 28px; line-height: 1.3; margin: 34px 0 12px;\">Winning Advertisers Do Not Wait for One Creative to Die Before Making the Next One<\/h2>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 16px;\">Creative lifespan tells us how long individual ads survive. Variant counts tell us how advertisers build the system around those ads.<\/p>\n<div style=\"overflow-x: auto; border: 1px solid #e5e7eb; border-radius: 14px; margin: 0 0 29px;\">\n<table style=\"width: 100%; border-collapse: collapse; font-size: 14px;\">\n<thead>\n<tr style=\"background: #fff3eb;\">\n<th style=\"padding: 11px 13px; text-align: left;\">Platform<\/th>\n<th style=\"padding: 11px 13px; text-align: left;\">Measurement Unit<\/th>\n<th style=\"padding: 11px 13px; text-align: left;\">Median<\/th>\n<th style=\"padding: 11px 13px; text-align: left;\">Key Finding<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>Amazon Sponsored<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">Variants \/ campaign<\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>5<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">51% run 4\u201310 variants<\/td>\n<\/tr>\n<tr style=\"background: #fafafa;\">\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>Google Shopping<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">Products \/ campaign<\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>16<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">87% sit in 11\u201350 range<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>Meta<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">Recent ads \/ active page<\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>239<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">Creative volume is ongoing, not one test batch<\/td>\n<\/tr>\n<tr style=\"background: #fafafa;\">\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>Google Search<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">Lifetime ads \/ advertiser<\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>3,147<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">Testing volume compounds over time<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 30px;\">The detailed <a style=\"color: #ff711e; font-weight: 800; text-decoration: none;\" href=\"https:\/\/adspyder.io\/blog\/how-many-ad-variants-to-run\/\">20,000-campaign variant study<\/a> found that single-variant campaigns were effectively nonexistent among the sampled active Amazon and Google Shopping campaigns.<\/p>\n<p><!-- REAL LESSON --><\/p>\n<h2 style=\"font-size: 28px; line-height: 1.3; margin: 34px 0 12px;\">The Real Refresh Pattern: Launch \u2192 Filter \u2192 Extend \u2192 Replace<\/h2>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 16px;\">The combined lifespan and variation data suggests a better operating model than \u201crefresh every X days.\u201d<\/p>\n<div style=\"border: 1px solid #e5e7eb; border-radius: 14px; overflow: hidden; margin: 0 0 29px; font-size: 17px;\">\n<div style=\"padding: 15px 20px; border-bottom: 1px solid #eee;\"><strong>1. Launch several meaningfully different ideas<\/strong><\/p>\n<p style=\"margin: 5px 0 0; color: #374151;\">Test different hooks, proof mechanisms, offers or formats rather than ten cosmetic rewrites of one concept.<\/p>\n<\/div>\n<div style=\"padding: 15px 20px; border-bottom: 1px solid #eee; background: #fafafa;\"><strong>2. Filter weak creatives quickly<\/strong><\/p>\n<p style=\"margin: 5px 0 0; color: #374151;\">The high share of sub-seven-day ads shows that early turnover is normal in active advertising environments.<\/p>\n<\/div>\n<div style=\"padding: 15px 20px; border-bottom: 1px solid #eee;\"><strong>3. Extend the winners<\/strong><\/p>\n<p style=\"margin: 5px 0 0; color: #374151;\">Do not replace a creative simply because it crossed an arbitrary calendar threshold if your own performance data remains healthy.<\/p>\n<\/div>\n<div style=\"padding: 15px 20px; border-bottom: 1px solid #eee; background: #fafafa;\"><strong>4. Prepare the next batch before fatigue arrives<\/strong><\/p>\n<p style=\"margin: 5px 0 0; color: #374151;\">Creative production should happen while current controls are working\u2014not after performance collapses.<\/p>\n<\/div>\n<div style=\"padding: 15px 20px;\"><strong>5. Replace the idea when the evidence changes<\/strong><\/p>\n<p style=\"margin: 5px 0 0; color: #374151;\">If several executions of the same concept weaken together, test a new angle rather than endlessly changing colours or headlines.<\/p>\n<\/div>\n<\/div>\n<p><!-- FATIGUE --><\/p>\n<h2 style=\"font-size: 28px; line-height: 1.3; margin: 34px 0 12px;\">Creative Refresh Frequency Is Not the Same as Ad Fatigue<\/h2>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 16px;\">This distinction matters.<\/p>\n<div style=\"overflow-x: auto; border: 1px solid #e5e7eb; border-radius: 14px; margin: 0 0 29px;\">\n<table style=\"width: 100%; border-collapse: collapse; font-size: 14px;\">\n<thead>\n<tr style=\"background: #fff3eb;\">\n<th style=\"padding: 11px 13px; text-align: left;\">Creative Refresh<\/th>\n<th style=\"padding: 11px 13px; text-align: left;\">Ad Fatigue<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">Advertiser launches or replaces creative<\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">Audience response deteriorates after repeated exposure<\/td>\n<\/tr>\n<tr style=\"background: #fafafa;\">\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">Observable externally<\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">Must be confirmed with private performance data<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">Can happen because of seasonality, testing or new offers<\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">Usually involves worsening response metrics<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 30px;\">For the performance-side framework, see AdSpyder&#8217;s <a style=\"color: #ff711e; font-weight: 800; text-decoration: none;\" href=\"https:\/\/adspyder.io\/blog\/ad-fatigue-benchmarks\/\">ad fatigue benchmark study<\/a>, which separates creative age from frequency, CTR, CPA and ROAS deterioration.<\/p>\n<p><!-- REFRESH PLAYBOOK --><\/p>\n<h2 style=\"font-size: 28px; line-height: 1.3; margin: 34px 0 12px;\">A Practical Creative Refresh Playbook<\/h2>\n<div style=\"overflow-x: auto; border: 1px solid #e5e7eb; border-radius: 14px; margin: 0 0 29px;\">\n<table style=\"width: 100%; border-collapse: collapse; font-size: 14px;\">\n<thead>\n<tr style=\"background: #fff3eb;\">\n<th style=\"padding: 11px 13px; text-align: left;\">Situation<\/th>\n<th style=\"padding: 11px 13px; text-align: left;\">Recommended Action<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>New creative launched<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">Avoid judging solely from age. Let enough account data accumulate for your objective and spend level.<\/td>\n<\/tr>\n<tr style=\"background: #fafafa;\">\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>Creative is weak early<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">Replace or pause based on account performance\u2014not competitor lifespan alone.<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>Creative is 30+ days old and healthy<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">Keep it running while preparing new challengers.<\/td>\n<\/tr>\n<tr style=\"background: #fafafa;\">\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>Frequency rises and CTR falls<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">Introduce a materially different creative concept.<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>Several new creatives decline together<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">Investigate offer, audience, landing page and demand\u2014not only the artwork.<\/td>\n<\/tr>\n<tr style=\"background: #fafafa;\">\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\"><strong>Competitors suddenly rotate aggressively<\/strong><\/td>\n<td style=\"padding: 11px 13px; border-top: 1px solid #eee;\">Check for new offers, product launches, seasonal campaigns or format shifts.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p><!-- INDUSTRY --><\/p>\n<h2 style=\"font-size: 28px; line-height: 1.3; margin: 34px 0 12px;\">Does Industry Change Creative Refresh Frequency?<\/h2>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 16px;\">AdSpyder&#8217;s current public dataset supports strong industry-level differences in <strong>format mix<\/strong>, but it does not yet support a defensible industry-by-industry refresh-frequency benchmark.<\/p>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 16px;\">For example, AdSpyder&#8217;s May 2026 Meta industry study found image-heavy mixes in categories such as retail, real estate, fashion and financial services. That matters because production effort and format choice can influence how easily teams create replacement assets.<\/p>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 30px;\">But it would be misleading to turn those format percentages into claims such as \u201cfashion refreshes every X days.\u201d For industry-specific decisions, benchmark your direct competitors rather than inventing a category-wide calendar.<\/p>\n<p><!-- PATTERNS --><\/p>\n<h2 style=\"font-size: 28px; line-height: 1.3; margin: 34px 0 12px;\">4 Patterns Worth Watching in Competitor Creative Timelines<\/h2>\n<div style=\"border: 1px solid #e5e7eb; border-radius: 14px; overflow: hidden; margin: 0 0 30px; font-size: 17px;\">\n<div style=\"padding: 15px 20px; border-bottom: 1px solid #eee;\"><strong>1. Many launches, one repeated hook<\/strong><\/p>\n<p style=\"margin: 5px 0 0; color: #374151;\">The advertiser may be refreshing execution while preserving the underlying proposition.<\/p>\n<\/div>\n<div style=\"padding: 15px 20px; border-bottom: 1px solid #eee; background: #fafafa;\"><strong>2. One creative survives multiple refresh cycles<\/strong><\/p>\n<p style=\"margin: 5px 0 0; color: #374151;\">Treat it as a high-interest control worth decomposing into hook, offer, proof and format.<\/p>\n<\/div>\n<div style=\"padding: 15px 20px; border-bottom: 1px solid #eee;\"><strong>3. Format shifts while the offer stays constant<\/strong><\/p>\n<p style=\"margin: 5px 0 0; color: #374151;\">The advertiser may be testing delivery format rather than changing the commercial proposition.<\/p>\n<\/div>\n<div style=\"padding: 15px 20px;\"><strong>4. Hook, offer and landing page all change together<\/strong><\/p>\n<p style=\"margin: 5px 0 0; color: #374151;\">This is a larger strategic change and deserves closer tracking than a cosmetic creative refresh.<\/p>\n<\/div>\n<\/div>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 30px;\">AdSpyder&#8217;s <a style=\"color: #ff711e; font-weight: 800; text-decoration: none;\" href=\"https:\/\/adspyder.io\/blog\/find-winning-ad-creatives\/\">winning creative research workflow<\/a> recommends looking for repeated investment signals such as longevity, multiple variations, repeated hooks and cross-platform presence rather than simply choosing the newest ad.<\/p>\n<p><!-- WORKFLOW --><\/p>\n<h2 style=\"font-size: 28px; line-height: 1.3; margin: 34px 0 12px;\">How to Benchmark a Competitor&#8217;s Creative Refresh Frequency With AdSpyder<\/h2>\n<div style=\"border: 1px solid #e5e7eb; border-radius: 14px; overflow: hidden; margin: 0 0 29px; font-size: 17px;\">\n<div style=\"padding: 15px 20px; border-bottom: 1px solid #eee;\"><strong>Step 1 \u2014 Search the competitor domain<\/strong><\/p>\n<p style=\"margin: 5px 0 0; color: #374151;\">Open AdSpyder Ad Library or Ad Analytics and start with a direct competitor rather than a generic keyword.<\/p>\n<\/div>\n<div style=\"padding: 15px 20px; border-bottom: 1px solid #eee; background: #fafafa;\"><strong>Step 2 \u2014 Separate new ads from persistent ads<\/strong><\/p>\n<p style=\"margin: 5px 0 0; color: #374151;\">Use first-seen dates and estimated run duration to group recent tests and long-running creatives.<\/p>\n<\/div>\n<div style=\"padding: 15px 20px; border-bottom: 1px solid #eee;\"><strong>Step 3 \u2014 Record launch clusters<\/strong><\/p>\n<p style=\"margin: 5px 0 0; color: #374151;\">Note when several new ads appear within the same short time window.<\/p>\n<\/div>\n<div style=\"padding: 15px 20px; border-bottom: 1px solid #eee; background: #fafafa;\"><strong>Step 4 \u2014 Identify what actually changed<\/strong><\/p>\n<p style=\"margin: 5px 0 0; color: #374151;\">Was it the hook, visual, format, offer, CTA or landing page?<\/p>\n<\/div>\n<div style=\"padding: 15px 20px; border-bottom: 1px solid #eee;\"><strong>Step 5 \u2014 Track survivors<\/strong><\/p>\n<p style=\"margin: 5px 0 0; color: #374151;\">Which concepts remain observable after 14, 30 or 90 days?<\/p>\n<\/div>\n<div style=\"padding: 15px 20px;\"><strong>Step 6 \u2014 Build your own benchmark<\/strong><\/p>\n<p style=\"margin: 5px 0 0; color: #374151;\">Compare 5\u201310 direct competitors and measure their normal launch frequency rather than relying on a universal market average.<\/p>\n<\/div>\n<\/div>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 16px;\">AdSpyder&#8217;s current <a style=\"color: #ff711e; font-weight: 800; text-decoration: none;\" href=\"https:\/\/adspyder.io\/ad-library\">Ad Library<\/a> includes platform, country, format, first-seen date, estimated run duration, headline, CTA and destination URL among its structured ad fields.<\/p>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 30px;\">Use <a style=\"color: #ff711e; font-weight: 800; text-decoration: none;\" href=\"https:\/\/adspyder.io\/ad-analytics\">Ad Analytics<\/a> when you want to connect those individual creative changes with broader domain and campaign activity.<\/p>\n<p><!-- WHAT TO DO --><\/p>\n<h2 style=\"font-size: 28px; line-height: 1.3; margin: 34px 0 12px;\">What Marketers Should Do Next<\/h2>\n<h3 style=\"font-size: 20px; line-height: 1.4; margin: 20px 0 7px;\">Build a pipeline, not a refresh deadline<\/h3>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 20px;\">If your next creative starts only after the current winner weakens, the production system is already late. Maintain a queue of new concepts while controls are healthy.<\/p>\n<h3 style=\"font-size: 20px; line-height: 1.4; margin: 20px 0 7px;\">Refresh concepts before cosmetics<\/h3>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 20px;\">Changing the background color while keeping the same hook, offer and proof may not create meaningful audience novelty. Test different reasons to care, not only different ways to decorate the same message.<\/p>\n<h3 style=\"font-size: 20px; line-height: 1.4; margin: 20px 0 7px;\">Keep proven controls alive<\/h3>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 20px;\">Long-running ads are not automatically stale. If your account data shows a creative continues meeting its target, let challengers compete with it rather than retiring it solely because it is old.<\/p>\n<h3 style=\"font-size: 20px; line-height: 1.4; margin: 20px 0 7px;\">Benchmark direct competitors<\/h3>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 30px;\">The market-wide data tells you what is possible. Your closest competitors reveal the cadence your audience is actually exposed to.<\/p>\n<p><!-- LIMITATIONS --><\/p>\n<h2 style=\"font-size: 28px; line-height: 1.3; margin: 34px 0 12px;\">Limitations and Methodology Notes<\/h2>\n<div style=\"background: #f9fafb; border: 1px solid #e5e7eb; border-radius: 14px; padding: 20px 23px; margin: 0 0 30px;\">\n<ul style=\"margin: 0; padding-left: 22px; color: #374151; font-size: 17px;\">\n<li style=\"margin-bottom: 9px;\"><strong>Observed duration is not confirmed uninterrupted delivery.<\/strong> First-seen and last-seen indicate observation dates, not every day the ad served.<\/li>\n<li style=\"margin-bottom: 9px;\"><strong>Long-running does not guarantee profitable.<\/strong> AdSpyder cannot access competitor CTR, ROAS, CPA or conversion data.<\/li>\n<li style=\"margin-bottom: 9px;\"><strong>Removing an ad does not prove it failed.<\/strong> Campaigns can end because of inventory, seasonality, promotions or strategic changes.<\/li>\n<li style=\"margin-bottom: 9px;\"><strong>Platform datasets have different structures.<\/strong> Campaign-level variant counts are available for Amazon and Shopping, while Meta and Search require advertiser-level measures.<\/li>\n<li style=\"margin-bottom: 9px;\"><strong>Format survival is not conversion rate.<\/strong> Persistence shows continued advertiser use, not guaranteed business results.<\/li>\n<li><strong>No universal refresh calendar is supported by this dataset.<\/strong> Platform, format, audience and campaign economics materially affect cadence.<\/li>\n<\/ul>\n<\/div>\n<p><!-- CHECKLIST --><\/p>\n<h2 style=\"font-size: 28px; line-height: 1.3; margin: 34px 0 14px;\">Creative Refresh Checklist<\/h2>\n<div style=\"border: 1px solid #e5e7eb; border-radius: 14px; overflow: hidden; margin: 0 0 30px; font-size: 17px;\">\n<div style=\"padding: 13px 18px; border-bottom: 1px solid #eee;\">\u2713 Maintain several meaningfully different creative concepts<\/div>\n<div style=\"padding: 13px 18px; border-bottom: 1px solid #eee; background: #fafafa;\">\u2713 Separate testing creatives from proven controls<\/div>\n<div style=\"padding: 13px 18px; border-bottom: 1px solid #eee;\">\u2713 Review first-seen and duration signals for direct competitors<\/div>\n<div style=\"padding: 13px 18px; border-bottom: 1px solid #eee; background: #fafafa;\">\u2713 Compare refresh cadence by platform rather than globally<\/div>\n<div style=\"padding: 13px 18px; border-bottom: 1px solid #eee;\">\u2713 Compare format-specific longevity<\/div>\n<div style=\"padding: 13px 18px; border-bottom: 1px solid #eee; background: #fafafa;\">\u2713 Prepare challengers before existing winners weaken<\/div>\n<div style=\"padding: 13px 18px; border-bottom: 1px solid #eee;\">\u2713 Use account CTR, CPA, ROAS and frequency to confirm fatigue<\/div>\n<div style=\"padding: 13px 18px; border-bottom: 1px solid #eee; background: #fafafa;\">\u2713 Do not kill a healthy ad because of age alone<\/div>\n<div style=\"padding: 13px 18px;\">\u2713 Turn competitor patterns into original tests\u2014not copied ads<\/div>\n<\/div>\n<p><!-- FAQ --><\/p>\n<h2 style=\"font-size: 28px; line-height: 1.3; margin: 34px 0 18px;\">Frequently Asked Questions<\/h2>\n<h3 style=\"font-size: 20px; line-height: 1.4; margin: 20px 0 6px;\">How often should ad creative be refreshed?<\/h3>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 16px;\">There is no universal schedule. AdSpyder&#8217;s May 2026 data shows median observed lifespan ranges from four days on Meta to 43.3 days on LinkedIn. Use platform context and your own campaign performance rather than a fixed calendar.<\/p>\n<h3 style=\"font-size: 20px; line-height: 1.4; margin: 20px 0 6px;\">How often do Facebook and Instagram advertisers change creative?<\/h3>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 16px;\">The median observed Meta creative in AdSpyder&#8217;s sample lasted four days, but nearly 30% survived at least 30 days. That suggests frequent testing alongside a smaller group of long-running controls.<\/p>\n<h3 style=\"font-size: 20px; line-height: 1.4; margin: 20px 0 6px;\">Should I replace an ad after seven days?<\/h3>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 16px;\">Not automatically. A seven-day-old creative may still be performing strongly. Use CTR, CPA, conversion rate, ROAS, frequency and campaign context before replacing it.<\/p>\n<h3 style=\"font-size: 20px; line-height: 1.4; margin: 20px 0 6px;\">How many creative variants should I run?<\/h3>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 16px;\">The answer varies by platform. In AdSpyder&#8217;s 20,000-campaign study, Amazon Sponsored campaigns had a median of five variants and Google Shopping campaigns had 16. Meta&#8217;s active advertisers operate at much larger overall creative volumes.<\/p>\n<h3 style=\"font-size: 20px; line-height: 1.4; margin: 20px 0 6px;\">Does a long-running competitor ad mean it is profitable?<\/h3>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 16px;\">No. Longevity is a useful persistence signal because the advertiser continued running the creative, but external tools cannot see its private profitability or ROAS.<\/p>\n<h3 style=\"font-size: 20px; line-height: 1.4; margin: 20px 0 6px;\">Which Meta ad format survives longest?<\/h3>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 16px;\">In AdSpyder&#8217;s real-time Meta sample, 39.9% of carousel ads were observed for at least 30 days, compared with 26.2% of video and 23.3% of single-image ads.<\/p>\n<h3 style=\"font-size: 20px; line-height: 1.4; margin: 20px 0 6px;\">How can AdSpyder help plan creative refreshes?<\/h3>\n<p style=\"font-size: 17px; color: #374151; margin: 0 0 16px;\">AdSpyder lets marketers inspect competitor ad history, first-seen dates, estimated run duration, formats, copy, CTAs and destination URLs across multiple platforms. Use those signals to benchmark competitor cadence and combine them with your own campaign data.<\/p>\n<p><!-- CTA --><\/p>\n<div style=\"background: linear-gradient(135deg,#111827 0%,#431407 100%); border-radius: 17px; padding: 30px 31px; margin-top: 34px;\">\n<p style=\"margin: 0 0 8px; color: #fff; font-size: 22px; font-weight: 900;\">Stop refreshing creative because a calendar told you to.<\/p>\n<p style=\"margin: 0 0 20px; color: #d1d5db; font-size: 17px;\">Use AdSpyder to see when competitors launch new ads, which creatives disappear quickly and which hooks, formats and offers remain active for weeks or months.<\/p>\n<p><a style=\"display: inline-block; background: #ff711e; color: #fff; padding: 13px 25px; border-radius: 10px; text-decoration: none; font-size: 17px; font-weight: 900;\" href=\"https:\/\/adspyder.io\/ad-analytics\">Analyze Competitor Creative \u2192<\/a><\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>AdSpyder Original Research \u00b7 Creative Strategy Quick Answer There is [&hellip;]<\/p>\n","protected":false},"author":28,"featured_media":42368,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-42366","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Ad Creative Refresh Frequency: 2026 Data Study<\/title>\n<meta name=\"description\" content=\"Ad creative refresh frequency data from 24,650 ads shows how often advertisers rotate creatives across Meta, LinkedIn, YouTube and more.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/adspyder.io\/blog\/wp-json\/wp\/v2\/posts\/42366\" 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