Track content performance over time. Enter traffic or ranking data points and visualize decay trends with refresh priority scoring.
You enter the traffic or ranking figures a page pulled in at successive dates, and the tracker plots the trend, measures how far the page has fallen from its own earlier high point, and returns a refresh priority score that tells you which aging articles to update first. The figure users most often misread: decay is relative to the baseline you supply. Start tracking three months ago, and a page that quietly lost most of its traffic a year earlier shows little or no decay, because the loss predates your first data point. And a large percentage decline on a nearly dead page usually matters less than a modest one on a page still pulling thousands of visits.
A concrete input and expected output from the current implementation.
Input
URL: https://example.com/blog/seo-checklist Monthly organic sessions: Mar 2026: 4,800 Apr 2026: 4,400 May 2026: 4,100 Jun 2026: 3,700 Jul 2026: 3,500
Expected output
Decay: 27.1% below peak. Sessions fell from 4,800 (March) to 3,500 (July), a loss of 1,300 visits. Trend: steady downward slope, no month recovered.
The tracker compares the latest point against the page's highest entered point: 1,300 visits lost against a 4,800 peak is 27.1%, and every intermediate month is lower than the one before it, so the plotted line slopes down throughout. The refresh priority score then weighs that decay against the traffic the page still receives.
The tracker takes the data points you enter for each page, orders them by date, and works out the decline from the page's highest recorded value to its most recent one, shown as a percentage. The same points are plotted so the shape of the trend is visible: steady slide, cliff drop, or flat plateau. Pages whose lines fall furthest and longest carry the strongest decay signal.
The score ranks pages by how urgently they need a refresh, balancing how much a page has decayed against how much traffic is still at stake. A page down 30% that still receives 10,000 visits a month outranks a page down 60% that receives 200, because refreshing the first can recover far more traffic. Pages that have not decayed, or have little left to save, rank lowest.
No. It shows the trend, the percentage lost, and the priority score, but the cause is yours to diagnose: an algorithm change, a seasonal slump, a new competitor, or genuinely outdated content all draw the same downward line. Treat the score as a triage list, then open each flagged page, the search results, and your analytics to find the reason.
You can use either metric, but stick to one per page: a chart that mixes visits and search positions has no common scale, so the decline percentage would be meaningless. Whichever metric you choose, enter it at consistent intervals. With positions, remember lower numbers are better, so decay shows up as the number rising.
The example and behavioral notes were checked against the browser implementation. Standards and primary references below define the relevant format, formula, or platform behavior.
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