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Parse.ly Analytics VS MyFeedata

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

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Parse.ly Analytics logo Parse.ly Analytics

Analytics for understanding audience attention

MyFeedata logo MyFeedata

All your qualitative data and user insights in one place
  • Parse.ly Analytics Landing page
    Landing page //
    2023-05-03
  • MyFeedata Landing page
    Landing page //
    2020-07-07

Parse.ly Analytics features and specs

  • User-Friendly Interface
    Parse.ly provides a dashboard that is easy to navigate, allowing users with varying technical expertise to access and interpret data efficiently.
  • Real-Time Analytics
    Parse.ly offers real-time content analytics, enabling users to monitor the performance of their content and make data-driven decisions quickly.
  • Content-Specific Insights
    The platform specializes in content analytics, providing deep insights into audience engagement, most popular articles, and author/page performance.
  • Custom Reporting
    Parse.ly allows users to create custom reports tailored to their specific needs, enhancing flexibility in how data is presented and utilized.
  • API Access
    The service provides robust API access for integrating Parse.ly data with other tools and platforms, facilitating broader analytics workflows.

Possible disadvantages of Parse.ly Analytics

  • Cost
    Parse.ly may be relatively expensive for smaller publishers or individual bloggers due to its pricing structure aimed at larger enterprises.
  • Limited E-Commerce Tracking
    While strong in content tracking, Parse.ly is less focused on e-commerce analytics, potentially limiting its utility for online retail businesses.
  • Learning Curve for Advanced Features
    While the basic interface is user-friendly, there may be a learning curve for utilizing more advanced features and integrations.
  • Data Sampling
    In some cases, data sampling might occur, which can impact the precision of analytics for highly granular data needs.
  • Dependence on Pageviews
    The platform heavily relies on pageview metrics, which may not provide a comprehensive view of user engagement and content success in all scenarios.

MyFeedata features and specs

  • User-Friendly Interface
    MyFeedata offers an intuitive and simple interface that makes it easy for users to navigate and use, even for those with limited technical skills.
  • Data Automation
    The platform provides automated data collection and processing functionalities, which save time and reduce the risk of human error.
  • Comprehensive Reporting Tools
    Users can benefit from a robust set of reporting tools that allow for detailed data analysis and visualization, facilitating better decision-making.

Possible disadvantages of MyFeedata

  • Limited Customization
    Some users may find the lack of deep customization options a limitation, as the platform may not fully adapt to specific unique business needs.
  • Pricing
    Depending on the budget, some users might find the pricing structure of MyFeedata to be on the higher side, especially for smaller businesses or startups.
  • Learning Curve for Advanced Features
    While basic features are user-friendly, some advanced functionalities may require additional time to learn and understand for new users or those unfamiliar with data tools.

Category Popularity

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

Parse.ly Analytics

MyFeedata

Analytics
71 71%
Analytics
29% 29
Productivity
0 0%
Productivity
100% 100
SaaS
59 59%
SaaS
41% 41
Slack
100 100%
Slack
0% 0

User comments

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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.

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 2 years 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 4 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 4 years ago

MyFeedata mentions (0)

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

What are some alternatives?

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

GoSquared People Analytics - One place to understand your users

Get Stories - All your user data in one place

Make My Persona - A free buyer persona generator

Mila - Sort your inbox contacts to your marketing and sales tools

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

Zoios - Understand and keep your employees with people analytics

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