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The Widgets


Total Mentions

The Total Mentions Widget displays the total number of articles returned from the attached search over the set date range. For example, all mentions of “TrendKite” in the press for Q1. The data points displayed can be viewed on a daily, weekly, or monthly scale, with the default set to “Week”.


To view the individual articles within your results, click on a data point to view coverage from that time interval, or click the number in the top right corner of the widget to drill down into all of the results.





Share of Voice Comparison & Share of Voice Over Time

The Share of Voice (SOV) widgets offer a competitive look at total coverage counts. You can use these widgets for measurement related to competitive benchmarking, internal product analyses, or campaign comparisons. Searches you attach to an SOV widget are measured against one another, with each percentage representing the proportion of mentions one search owns versus the mentions owned by all searches in the widget.




The calculation: Let’s say that in Q1 AppNegotiator received 25 mentions, DealMakers Inc received 75 mentions, and Prop-O-Zition Marketing received 100 mentions. 200 mentions would exist within the widget (25 + 75 +100). AppNegotiator’s SOV would be 25/200, or 12.5%, DealMakers SOV would be 75/200, or 37.5%, and Prop-O-Zition Marketing’s SOV would be 100/200, or 50%.



Key Messages

The Key Messages widget is used to dive deeper into your search results, surfacing key topics and phrases. Key Messages is basically a search within a search, so whatever you had selected as the search for the widget is what key messages will be sorting through. These searches are as flexible as any other search type, meaning you can measure the “keyword density” of anything from a product, person, or message, to a set of publications or feature coverage.


NOTE: Advanced searches can be built by clicking on the magnifying glass.





Social Amplification

Social Amplification provides data on article engagement by displaying the number of times a piece of coverage was shared across social media. The widget offers this number in aggregate, across all of your articles. Additionally, if you click into the widget you will see the social amplification of individual articles." You can use the Social Amplification widget as part of a competitive analysis or to understand which articles, authors, and publications are resonating most.





Top Content

To highlight your most important or valuable pieces of news, use the Top Content widget. To curate specific articles, click their respective stars in any drilldown. Users will often start by selecting those articles with the most shares and sessions.






TrendKite's sentiment analysis is driven by a natural language processor and uses machine learning that reads into the context surrounding positive and negative words used in an article.


NOTE: Currently 16 languages are currently analyzed for sentiment with more being added all the time.




If you want to assign your own sentiment to an article, you can easily give it a different value.





Geographic Widgets

TrendKite offers four widgets that analyze coverage from a geographic perspective. When you run a report, these slides will consolidate into one slide.


U.S. vs International Mentions

A comparison of coverage from the United States versus elsewhere.




International Mentions

Displays a percentage breakdown of the top six countries with the most coverage.




U.S. Mentions by Location

Displays mention counts from the top five states with the most coverage.





Displays a percentage breakdown of top city mentions within each state.





Highest Readership Widget

The Highest Readership widget displays the five articles in your set of coverage that were written in media outlets with the highest readership.





Ad Equivalency

Ad Equivalency quantifies how much a piece of coverage would have cost if it were placed as an advertisement on the respective media outlet. The widget shows this number after aggregating your search results. 


For online news and blogs, it is calculated by multiplying the readership, potential viewership, and average ad cost. Readership is the variable number in this equation. For television broadcasts, cost per minute is displayed as an estimate of the advertising cost of a minute of airtime (these values are provided by industry leaders, SQAD and Nielsen