Traffic CSV Analyzer

It turns a date-by-date website or SEO traffic export into an easier page-level review. Each URL, page, or keyword series gets a bar chart, peak and minimum values, overall change, and important dates worth investigating. It is useful when you need to analyze website traffic from CSV exports, especially when a report contains many pages. The tool does not connect to your analytics account, predict future traffic, or upload the file.

Put Date in the first column and one page, URL, keyword, or segment in each remaining column. Each row should represent the same time interval—daily data is best for spotting sudden changes—and dates should run from oldest to newest. Keep traffic values numeric and non-negative. Blank cells are skipped, so check the export before analysis if missing dates could change the trend.

“Launch” is the first date with traffic. A “surge” or “drop” marks a large change from the previous data point, while “peak” marks the highest value in the file. These labels help you find dates to inspect; they do not prove that a page launched, an update succeeded, or a ranking was lost. Small starting values can also make percentage changes look dramatic, so read the label together with the chart and actual traffic values.

Compare the date with publishing and deployment logs, redirects, indexing changes, analytics tracking, campaigns, backlinks, ranking movement, and seasonality. Then check impressions, position, conversions, and revenue before deciding whether the change is good or bad. A surge may be irrelevant traffic, and a drop may reflect an intentional page consolidation or a reporting change.

No. The browser reads the selected CSV locally, and the file and results stay in the current tab. Choosing another file replaces the current result; refreshing or closing clears it. Keep the original export in your approved storage and remove unnecessary identifiers when company policy requires it.