Using the dummy data, we can see that the groups surveyed in the

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After the survey is complete, you can analyze the data to find interesting trends. For the question “How likely are you to cancel your cable subscription in the next two years?”, you could analyze the age ranges that are most likely to cut the cord. Below you can see an example of the types of insights you might find from a survey: Spreadsheet showing answer data for the question, 'How likely are you to cancel your cable subscription in the next two years?' From here you can start to draw interesting insights.


65+ age range were the most likely to cut the cord. This would definitely be an interesting (although pretty unlikely) data point that we could use in our content and then pitch to journalists. Of course, you could also look at other demographic data such as gender and location. When you’re choosing your questions to ask respondents, try to think ahead and ask questions that might yield interesting results.


Try to avoid asking questions where the results will be too predictable, and thus myanmar gambling data not newsworthy. The goal of the survey should be to yield interesting points of data that you didn’t previously have access to. Map campaign As the title suggests, a map campaign is a type of digital PR campaign where you overlay your data insights on a map. For example, in this campaign for “The Most Googled Pie In Every State” from Prevention.


com, you can see how they overlay a pie icon over every state in the United States. The data for map campaigns can really be generated from either existing data or surveys. However, the reason we’re giving them their own special category is that they tend to perform really well. With map campaigns, the results are inherently localized to every state. For example, here’s data from a map campaign that we executed that resulted in backlinks from 112 referring domains (81 followed links): Domain Authority, Page Authority, Linking Domains and Inbound Links for a site in Moz Pro.