inlytics provides you with a comprehensive web dashboard that lets you analyze all your personal LinkedIn data in one place.
We help you to evaluate your metrics by visualizing data and giving you actionable insights to improve your content performance.
Our plans work for single users as well as for organizations, businesses, or coaches that need multiple accounts that can be managed from one dashboard.
The product offers what's promised. I like the UI and how easy it is to extract data.
Based on our record, Parse.ly Analytics seems to be more popular. It has been mentiond 3 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.
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
SHIELDAPP for LinkedIn - Redefining LinkedIn Analytics since 2019
GoSquared People Analytics - One place to understand your users
Taplio Stats - LinkedIn content inspiration and analytics.
Make My Persona - A free buyer persona generator
Supermetrics - Supermetrics condenses all the major vectors of data relevant to a user's marketing campaigns and helps them make sense of it all.
Currents by Parse.ly - Uncover what’s making 1 billion people pay attention