Parse.ly has been a wholesome addition to our newsroom
May 11, 2022

Parse.ly has been a wholesome addition to our newsroom

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Parse.ly

We use Pare.ly to analyze the real-time interaction with our website, portsmouth.co.uk - to see which stories are attracting the most attention, so we can then capitalize on that, and also to see where that traffic is coming from, ie, Facebook, Twitter, direct to our own site, etc.
  • Real-time analysis of how content is performing
  • Being able to compare various data sets, ie, days, individual users' content
  • Being able to compare performance over time
  • Make it easier to access old data
  • Is it possible to identify which individual Facebook pages traffic is coming from?
  • Improve the search facility - it sometimes brings up odd responses
  • It has enabled us to dig down into the data and see exactly how our content is performing
  • We can more easily target which areas are under-performing and react accordingly
  • It can become an obsession - watching the numbers all day!
Parse.ly is a fairly intuitive and user-friendly system, and even without the need for training, the basics can be picked up fairly easily. The more you use it, the more you are likely to get out of its functionality and features - there's a lot it can be asked to do with your data.
Because Parse.ly has been a valuable addition to the newsroom and provides us with the feedback we require.

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

Not sure

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?

I wasn't involved with the implementation phase

Would you buy Parse.ly again?

Yes

Parse.ly is well suited to a media organization looking for a tool that can help you cut up and analyze your traffic in many ways. It is an effective tool for real-time analysis in the newsroom and to see how certain content or aspects of that content are performing over time.