Table of contents
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.
We have collected here some useful links to help you find out if Parse.ly Analytics is good.
Check the traffic stats of Parse.ly Analytics on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Parse.ly Analytics on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Parse.ly Analytics's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Parse.ly Analytics on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Parse.ly Analytics on Reddit. This can help you find out how popualr the product is and what people think about it.
I've also seen parse.ly pop up a bit, I might try it to see if it's any decent. Source: almost 3 years 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 / over 4 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: over 4 years ago
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Suggest a link to a post with product alternatives.
Is Parse.ly Analytics good? This is an informative page that will help you find out. Moreover, you can review and discuss Parse.ly Analytics here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
