{"id":4669,"date":"2022-01-20T13:01:44","date_gmt":"2022-01-20T13:01:44","guid":{"rendered":"https:\/\/mailinvest.blog\/index.php\/2022\/01\/20\/the-definitive-guide-to-pr-reporting-in-2022\/"},"modified":"2022-01-20T13:01:44","modified_gmt":"2022-01-20T13:01:44","slug":"the-definitive-guide-to-pr-reporting-in-2022","status":"publish","type":"post","link":"https:\/\/mailinvest.blog\/index.php\/2022\/01\/20\/the-definitive-guide-to-pr-reporting-in-2022\/","title":{"rendered":"The Definitive Guide To PR Reporting in 2022"},"content":{"rendered":"

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Combining BuzzSumo data with other sources: sentiment analysis<\/h2>\n

PR reports relating to media coverage usually focus on metrics such as reach and domain authority.<\/p>\n

However, there is often a need to look more qualitatively at the media content generated.<\/p>\n

For example, is the coverage positive, neutral or negative? One way to determine this would be to have someone read every article and apply a sentiment rating to each item of coverage.<\/p>\n

Changes in sentiment could then be tracked, monitored and reported on over time.<\/p>\n

However, it is possible to automate this sentiment analysis by analysing BuzzSumo monitoring data using another tool called URL Profiler<\/a>.<\/p>\n

One of its many features is the ability to analyse web content for sentiment, word count and host of other relevant factors such as readability.<\/p>\n

By taking the URLs of monitored coverage from BuzzSumo and analysing with URL Profiler, each piece of coverage gets a positive, neutral or negative rating as well as a sentiment score.<\/p>\n

URL Profiler will also find the top 10 keywords contained within each article by prominence and frequency.<\/p>\n

This again can be helpful for tracking standard PR reporting requirements such as message penetration.<\/p>\n

URL Profiler data is automatically saved as a spreadsheet which can then be used as a data source for a Google Data Studio PR reporting dashboard.<\/p>\n<\/p><\/div>\n