Well-researched personas can be a useful tool for marketers, but to do it correctly takes time. But what if you don’t have extra time? Using a mix of Followerwonk, Twitter, and the AIchemy language API, it’s possible to do top-level persona research very quickly. I’ve built a Python script that can help you answer two important questions about your target audience:
What are the most common domains that my audience visits and spend time on? (Where should I be trying to get mentions/links/PR)
What topics are they interested in or reading on those sites? (What content should I potentially create for these people)
You can get the script on Github: Twitter persona research
Once the script runs, the output is two CSV files. One is a list of the most commonly-shared domains by the group, the other is a list of the topics that the audience is interested in.
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And the details are available when you click through (including the instructions). The link to the script is here: https://github.com/craigbradford/using-python-and-twitter-api-for-persona-research
It's more useful when attempting to target content development.