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Based on our record, BuzzSumo should be more popular than Parse.ly Analytics. It has been mentiond 18 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Find the right influencers: Not all influencers are created equal. You want to find people who have a large following in your target audience and who are respected in your industry. You can use tools like BuzzSumo and Ahrefs to find influencers who are relevant to your brand. Source: 9 months ago
BuzzSumo: https://buzzsumo.com/ - Allows you to analyze content popularity and social media shares for a given topic or niche. This data can help you to understand what types of content are most popular with your target audience. Source: about 1 year ago
Use Emotion to Your Advantage: BuzzSumo (https://buzzsumo.com/) is a website that can help you identify popular emotional triggers in your industry or niche, and Google Analytics (https://analytics.google.com/) can help you track how your content is resonating with your audience. Source: about 1 year ago
You need to think about how you are going to distribute your content so it reaches as many people as possible. You can also reach out to influencers on social media. Use tools like BuzzSumo or Ahrefs to find influencers who have linked out to sites similar or competitive with yours. - Source: dev.to / over 1 year ago
Users need to mandatorily connect their Facebook account with https://buzzsumo.com (Content Research Platform) for verification. - Source: Hacker News / almost 2 years ago
I've also seen parse.ly pop up a bit, I might try it to see if it's any decent. Source: over 1 year ago
Parse.ly | Python Data Engineers (NA) & Machine Learning Engineers (EU) | Remote | Full-Time | https://parse.ly Are you a Python programmer based in North or South America, interested in large-scale data processing (terabytes per month, petabytes in our archive), and making use of massively-parallel computing architectures, such as those behind Spark and Dask? Or, are you a Machine Learning Engineer in Western or... - Source: Hacker News / almost 3 years ago
Would be really useful (not to mention polite) if sources were cited when you do this. For example, I think the early points are from the parse.ly report. People might want to click through for context if you let them. Source: about 3 years ago
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