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ProfitWell Engagement VS Parse.ly Analytics

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

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ProfitWell Engagement logo ProfitWell Engagement

Free product usage analytics for teams who care about growth

Parse.ly Analytics logo Parse.ly Analytics

Analytics for understanding audience attention
  • ProfitWell Engagement Landing page
    Landing page //
    2019-08-09
  • Parse.ly Analytics Landing page
    Landing page //
    2023-05-03

Category Popularity

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

ProfitWell Engagement

Parse.ly Analytics

Analytics
46 46%
Analytics
54% 54
Developer Tools
100 100%
Developer Tools
0% 0
SaaS
0 0%
SaaS
100% 100
Productivity
40 40%
Productivity
60% 60

User comments

Share your experience with using ProfitWell Engagement 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.

ProfitWell Engagement mentions (0)

We have not tracked any mentions of ProfitWell Engagement yet. Tracking of ProfitWell Engagement recommendations started around Mar 2021.

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 ProfitWell Engagement and Parse.ly Analytics, you can also consider the following products

Segment Personas - Customer data infrastructure

GoSquared People Analytics - One place to understand your users

LimeLeads Customer Match - Find prospects similar to your existing customer base

Make My Persona - A free buyer persona generator

Segment - We make customer data simple.

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

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