Parse.ly pays for itself!
Updated June 18, 2021

Parse.ly pays for itself!

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Parse.ly

Parse.ly is used nearly organization wide, mostly for real-time analysis of traffic and author content. We are easily able to see what types of content are performing and steer editorial and our writers in that direction. It has been invaluable in determining which of our authors provide the best value for content. Management uses Parse.ly to monitor real-time data and uses that data to determine where additional investments could be made.
  • Seeing in real time which stories are performing.
  • Trend analysis.
  • Author reporting.
  • Greater granularity for graph, chart presets.
  • Custom time ranges for all graphs, reports, charts.
  • Add top referrers as options to reports.
  • Add ability to rearrange content sections.
  • Add ability to grab a screen snapshot of various graphs, charts for sharing.
  • Allows us to determine quickly if an author is going to be viable.
  • Better SEO and SEO performance.
  • Noted that evergreen content contributed 10% of traffic - prevented an archiving of old content.
Google Analytics is a solid tool - however not all data is real-time, site performance is sometimes lacking and adding custom dimensions or parameters is challenging without bringing in development resources. Parse.ly's interface is far cleaner and focused compared to GA. Senior management enjoys the real-time interface, especially the animations, and uses it exclusively even though we also use Google Analytics.

Do you think Parse.ly delivers good value for the price?

Yes

Are you happy with Parse.ly's feature set?

Yes

Did Parse.ly live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Parse.ly go as expected?

Yes

Would you buy Parse.ly again?

Yes

The service is well suited to author performance where you can see in real time and historical perspectives which authors generate the greatest amount of traffic and who is not performing so well - allows you to focus content spend on those who produce the most. Parse.ly also works well to see what content tags gain the most attention so you can focus your SEO efforts around those keywords to generate better performing content - both in real-time and historical contexts.

I honestly cannot find a particular scenario where Parse.ly wouldn't be appropriate - while Google Analytics (GA4, included) can give you some of the same information, it does require advanced knowledge but it is free. Comes down to operating budgets.