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Based on our record, HootSuite should be more popular than Parse.ly Analytics. It has been mentiond 11 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.
Hootsuite: Hootsuite is a comprehensive social media management platform that empowers you to effortlessly create and manage content pillars for your Instagram account. With its post scheduling, performance analysis, and account engagement features, Hootsuite enables you to optimize your Instagram presence and elevate your content strategy. Source: about 1 year ago
Hootsuite Insights: https://hootsuite.com/ - A social media analytics tool that allows you to track sentiment and engagement around your brand or industry. This data can help you to identify consumer preferences and trends. Source: about 1 year ago
Be Transparent: Instagram (https://www.instagram.com/) and Facebook (https://www.facebook.com/) are social media websites that allow you to share behind-the-scenes glimpses of your business. You can use scheduling tools like Buffer (https://buffer.com/) or Hootsuite (https://hootsuite.com/) to manage and plan your social media content. Source: over 1 year ago
Hootsuite account: You'll need a Hootsuite account to use their API and fetch social media data. If you don't already have one, you can sign up for a free trial at https://hootsuite.com/. Source: over 1 year ago
Hootsuite - Social media is a crucial component of any affiliate marketing strategy. Hootsuite is a social media management tool that helps you schedule and publish. Source: over 1 year 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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