TrustRadius Insights for Parse.ly are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.
Pros
Insightful Reporting Capabilities: Users have found Parse.ly's report generation feature valuable for easily comparing article performance trends over time, aiding in strategic decision-making. This functionality allows users to identify patterns and make informed content strategy adjustments based on historical data analysis.
Visual Traffic Identification: The color-coded sources within Parse.ly enhance user experience by simplifying the identification of traffic origins to specific articles, improving navigation efficiency. By quickly recognizing the sources driving traffic to their content, users can tailor their strategies effectively.
Immediate Performance Insights: The real-time analysis tool in Parse.ly is highly praised by users for providing instant feedback on content performance and audience engagement, empowering timely adjustments. This feature enables users to react promptly to changing trends and optimize their content strategy for better results.
Parse.ly is used to track and analyse our website performance and data. The data is used to help identify trends, both live and over time, which can be used to optimise our website. The software can also be used to generate reports, which for our organisation, is helpful to compare performance over time and across the organisation/individuals. Parse.ly is used across our organisation daily.
Pros
The ability to generate reports that allow individuals and the organisation to compare how articles have performed over time is really helpful. This also means that treads can be easily identified. The reports are also clear and easy to understand.
Parse.ly is user friendly and easy navigate, particularly when trying to establish the source of traffic to a particular article. It's also helpful that each source is coloured coded, making it easy to see at a glance where the traffic is coming from.
The graphs that show page views over time are helpful in establishing when is the best time for content to go live.
Cons
It would be good to be able to compare the current day with more than just the previous day on the 'Overview' layout.
It would also be helpful to drill down via the graphic to see which articles were trending at which times of day. This would be particularly useful out of traditional working hours.
Likelihood to Recommend
Parse.ly is well suited to use in the newspaper/media industry, but it would be equally well suited to use in any sector that wanted to judge - and be able to analyse - traffic to its website.
We mainly use it to track our online content - which articles are being widely read, how many page views has our website had, etc.
Pros
Outlines the information clearly and concisely
Provides interesting feedback
Informative, easy to use and thorough
Cons
Maybe add a UK contact number
Maybe direct access to the different categories , eg What's On
Maybe a way of seeing exactly where viewers are coming from
Likelihood to Recommend
I think it's ideal when it comes to finding out information about an article you've recently published, when you want to know how it's doing and how many people it's reaching worldwide. Maybe it's less appropriate when it comes to finding out more about the viewing of the different categories.
Parse.ly means data about the entire group's online traffic is available pretty much instantly. I use the platform to analyse my own traffic, for instance I can see which stories are trending, for how long, and this helps me analyse my output, so for instance maybe some types of stories don't tend to do well, and others do. This doesn't necessarily influence my output - for instance in Cambridge, a business story may be relatively low in traffic terms, but it is a select audience I want to reach, so the volume doesn't matter in that situation. It helps that I can assess where the traffic is coming from, how it compares against my colleagues' output for that hour/day/week/month, and it has become a vital tool to finetune my output.
We use Parse.ly to help with content optimization and audience engagement. We use the Engaged Time Measurement feature to track user engagement on articles, ensuring that the metrics we collect are accurate and relevant. By understanding which content is resonating with our audience, we can optimize our content creation and distribution strategies.
Pros
Accurate engagement metrics
User-friendly interface
Seamless integration with other tools
Cons
Customization options in e.g. reporting
User management, it's sometimes difficult to control user access to specific metrics/dashboards
Could be better at tracking engagement on social media
Likelihood to Recommend
Parse.ly is a great tool for publishers who want to track engagement and audience behaviour across websites. With Parse.ly, we can easily track metrics like pageviews, time spent on page, and scroll depth to see which content is resonating with our audience and optimize our content strategy accordingly. Our marketers found Parse.ly to be an excellent tool for tracking the effectiveness of our campaigns. We can use Parse.ly to track metrics like referral sources, conversion rates, and engagement by audience segment to see which channels and tactics are driving the most engagement and conversions.
I use Parse.ly every day at my job. It helps articulate in real-time the traffic on a website that needs to deliver information to its users as fast as possible. I monitor and use the software/website constantly throughout my entire day. I personally use it for a website that sees millions of users every month.
Pros
Delivers real-time feed of website traffic
Articulates data in a clear and concise manner
Makes user navigation incredibly easy to pick up with little knowledge or experience
Cons
It doesn't make it easy to examine data from more than 12 months prior
Its mobile experience could be better for those that might need it in a fast-paced environment
Sometimes articulates data visually, for a brief few moments, before it's actually in, and overestimates traffic
Likelihood to Recommend
Parse.ly is particularly well suited to media companies that need quick real-time feedback from users who traffic their website and content. Any space where editorial decisions need to be made would benefit from using the software. It gives lots of information that helps you understand how many people are visiting your site and why in a quick and easily digestible manner.
VU
Verified User
Strategist in Social Media (5001-10,000 employees)
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.
Pros
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
Cons
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
Likelihood to Recommend
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.
Real-time traffic analytics for news stories across the site, selection of news, and hierarchy of reader engagement. Informs publishing patterns, story selection, and priorities. Some issues searching and locating stories, saving filtered searches, or modifying saved filtered searches and filtering by time isn't always that easy - can require a large number of clicks.
Pros
Real time data analytics of published stories
Cons
Filtering by time, sections, author, etc if fiddly/moving between pulse/historic, etc can be clunky and make searching difficult - UX/layout
Saving and editing saved filtered searches not intuitive
Likelihood to Recommend
Watching live analytic insight is very useful and looking by day or month gives good snapshots of traffic and audience engagement. Looking at the audience's journey into and out of the story is not so good nor is seeing how video engagement is performing etc. Insight on pages and how people read is not there.
I use Parse.ly as a tool to identify the footfall of readers. The platform allows me to map the behavior of the readers on our platform and understand how and when readers react to stories. It also allows me to adapt to new things or take note of what sort of stories have a wider impact.
Pros
Firstly, the platform is super easy to use, it is user-friendly and easy to navigate through.
Secondly, the platform also provides you the option to use filters to your best fit and adjust the filters according to what data you want to look at.
Thirdly, it enables the user to have live feedback on their articles and see what can be improved going forward to address the need of the readers.
Cons
The interface could be more interactive and attractive.
The views tab could become active in the sense that when you hover the cursor it automatically tells you which days or period the article performed the best.
If the platform could also provide relative information on the kind of users reading the articles.
Likelihood to Recommend
For people working in online media, or digital content creators, the platform could help them understand their audience and allow them to interact with them in a user-friendly way. Since the digital media industry is booming, Parse.ly can allow the user and the content creators to meet each other's demands and reduce redundancies and bombard the users with unnecessary content.
I use it to analyze our site's traffic on a daily, weekly, and monthly basis, to see what types of stories do well and what types of topics are most resonating with our audience. What do they want to know more about? What are they not that interested in? Etc.
Pros
Traffic numbers
Comparisons
Organization
Cons
N/A
Likelihood to Recommend
I just think it is so much more well-organized and user-friendly than Google Analytics.