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Parse.ly

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149 reviews
  • 1 profiles
  • 2 categories
Average star rating
4.4
Serving customers since
2009
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Parse.ly Reviews

Review Filters
Profile Name
Star Rating
100
44
4
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0
Verified User in Newspapers
UN
Verified User in Newspapers
09/01/2022
Validated Reviewer
Review source: G2 invite on behalf of seller
Incentivized Review

A great work tool!

I love the in-real-time status updates that you get. I also love how customizable it is
Verified User in Online Media
UO
Verified User in Online Media
09/01/2022
Validated Reviewer
Verified Current User
Review source: G2 invite on behalf of seller
Incentivized Review

Good option, especially for real-time traffic reports

The platform does a great job of displaying real-time traffic reports in several different increments. Very easy to understand and dig into further analytics if you want.
Verified User in Online Media
UO
Verified User in Online Media
09/01/2022
Validated Reviewer
Review source: G2 invite on behalf of seller
Incentivized Review

Loving Parsely's analytics features!

It is super easy to filter and pull quick reports for various campaigns based on a variety of different factors like date ranges, verticals, and referral source.

About

Contact

HQ Location:
New York

Social

@parsely

What is Parse.ly?

Parsely (found online at https://www.parse.ly) is a robust analytics and content optimization platform specifically tailored for digital publishers and content creators. It provides detailed insights that help users understand how their content is performing, who their audience is, and what drives engagement and conversion. Parsely's tools include real-time analytics, historical data analysis, and content recommendations designed to help publishers maximize their content's reach and monetize their websites more effectively. Ideal for media companies, bloggers, and content marketers, Parsely aims to empower creators with the data needed to refine their content strategy, increase audience engagement, and optimize overall content performance.

Details

Year Founded
2009
Website
www.parse.ly