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Inspirar VS Parse.ly Analytics

Compare Inspirar VS Parse.ly Analytics and see what are their differences

Monitask
Employee Monitoring Software with Screenshots, Internet, Activity and Time Tracking featured
Contents:
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  2. » Reviews
  3. » Alternatives

Inspirar logo Inspirar

Inspirar helps remote companies engage their employees, collect and respond to feedback, and analyze trends to help build a more transparent and actionable culture focused on employee wellness.

Parse.ly Analytics logo Parse.ly Analytics

Analytics for understanding audience attention
  • Inspirar Landing page
    Landing page //
    2023-05-21
  • Parse.ly Analytics Landing page
    Landing page //
    2023-05-03

Category Popularity

0-100% (relative to Inspirar and Parse.ly Analytics)

Inspirar

Parse.ly Analytics

Productivity
64 64%
Productivity
36% 36
Analytics
0 0%
Analytics
100% 100
Tech
100 100%
Tech
0% 0
SaaS
0 0%
SaaS
100% 100

User comments

Share your experience with using Inspirar and Parse.ly Analytics. For example, how are they different and which one is better?
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Social recommendations and mentions

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.

Inspirar mentions (0)

We have not tracked any mentions of Inspirar yet. Tracking of Inspirar recommendations started around Feb 2022.

Parse.ly Analytics mentions (3)

  • Google Analytics: seems to really suck now, alternatives?
    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
  • Ask HN: Who is hiring? (July 2021)
    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
  • Automatad's AdTech Weekly Roundup #153
    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

What are some alternatives?

When comparing Inspirar and Parse.ly Analytics, you can also consider the following products

Lucky Carrot - Make your employees super engaged, recognized, & appreciated

GoSquared People Analytics - One place to understand your users

Kucha - Employee engagement platform made for creative teams

Make My Persona - A free buyer persona generator

Coworker Coffee - Coffee with a different coworker each week

Currents by Parse.ly - Uncover what’s making 1 billion people pay attention

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