What is Content Decay Rate?
Content Decay Rate measures how quickly a piece of published content loses organic traffic or ranking position over time after its initial peak, typically due to competitors publishing fresher content, information going out of date, or search intent shifting. It helps prioritize which existing content needs updating versus which is still performing well without intervention.
TL;DR
Content decay rate is how much organic traffic a page has lost since its peak, and it's the number that tells you which old content is worth refreshing first.
Formula
Content Decay Rate = ((Peak Traffic - Current Traffic) / Peak Traffic) × 100, measured over a defined period after peak
Why It Matters
Content decay rate matters because most content's traffic doesn't stay flat after it peaks, it fades as competitors publish fresher pages, information ages, or search intent shifts, and without tracking decay that fade goes unnoticed until traffic has already dropped substantially. It matters because refreshing a page that used to perform well is usually a faster path back to strong rankings than building and ranking a brand-new page from zero, so decay rate directly informs where a content team's limited update capacity is best spent. Ignoring content decay means a site's overall organic traffic can quietly erode even while the team keeps publishing new content, since old pages losing traffic can offset or outweigh gains from anything new. It also helps separate a page that's simply past its natural peak from one suffering a specific, fixable problem, since decay combined with a competitor analysis usually reveals which cause applies. Prioritizing high-traffic, high-decay pages for refresh work tends to produce the best return, since those pages have already proven they can rank well and just need to be brought current.
Example
An article peaks at 5,000 monthly organic visits six months after publishing, then falls to 2,000 monthly visits a year later. Content decay rate is 5,000 minus 2,000, divided by 5,000, times 100, which equals 60%. Content teams typically prioritize refreshing pages with high decay rates and high historical traffic first, since restoring an article that used to drive 5,000 visits a month back closer to its peak is usually a faster win than trying to rank a brand-new page from zero.
Frequently Asked Questions