Reviews (1-25 of 26)
- Tracks readership volume by hour, day and month.
- Notes where the largest number of readers for a particular story come from.
- The story counts are erratic, depending where you look. If I look under my name for how many stories I've done, the number is predictably higher than if I search by all authors.
- Tracking where the reader last visited could be easier.
- The UI is very intuitive and easy to pick up.
- The analytics are accurate in real-time, allowing us to quickly to react to well or under-performing stories.
- Having more information about where links have been shared within a social media platform would be useful (Twitter handles, specific Facebook pages, etc.).
- The UI could afford to be a little more 'cluttered', presenting disparate data sets without needing to scroll down.
Parse.ly is less well suited for qualitative feedback on our stories. It may be that 15,000 people read a story - but they have been drawn in by a 'click-bait' headline and would be less likely to return to any of our stories as a result. Whereas a story that attracts the attention of 1,000 readers may seem less successful from a quantitative point of view but has actually strengthened our brand.
- The live traffic analytics are very useful as they mean we can schedule stories in at times we know are best.
- Revealing traffic sources allows us to target stories at specific markets, and tinker headlines to various audiences.
- The average traffic vs. today's traffic marker is very useful for keeping ahead of our monthly target.
- Syncing problems, while rare, occur more often than I would hope, and when they occur it is impossible to track live traffic.
It is also very useful for being able to track your traffic across history and see in which areas your website has improved.
- Very clean UX
- Data works well
- Site works extremely well
- I'd like to be able to break out our data a little bit more.
- I'd like to have new ways to categorize things.
- We could have a better understanding of our current state.
- Real-time analysis
- Identifying where traffic for tweets has come from
- To see from which Facebook page a certain story has seen the most traffic
- To be able to see Instagram stories' clicks without manually doing it on the app
- I like most how you can actively see where traffic is coming from, whether it's a specific tweet or website that hyperlinks to a story. Parse.ly is amazingly specific with this sort of thing
- The design is terrific and you can easily shift between seeing the top performing stories of the day and the top performing stories of the past ten minutes
- The one big thing for me is that, for some reason, Parse.ly is unable to give specific links to Facebook where traffic is coming from. We often get a lot of traffic from Facebook that isn't just New York Magazine pages, and it would be great to see what those pages are
- Sometimes if using Parse.ly on mobile the page crashes. Sometimes I'm also unable to see where traffic is coming from with specific sections (such as Twitter or Smartnews), it's left blank. I think that's probably just a bug
- UX for non-data people
- Flexible dashboard
- Incorporate average session per user reporting
- The main dashboard to compare different time periods settings (not just set at 8 weeks) and not just page views
Parse.ly breaks down a bit when trying to incorporate an engagement funnel to drive premium content subscriptions (as we are!)
- Provides a variety of metrics.
- Allows one to see total time on site for a particular stories.
- Sometimes the system crashes and things aren't collected.
- Search function for a particular story could be better.
For deeper analyses our analytics team does, Parse.ly has more limited data. Parse.ly only shows visitors, views and minutes, but not who is reading content or what they do on a page.
- Frankly, it does the simple task that it's supposed to do: track the number of people who visit a story and the average time they spent on said story, giving me a breakdown over the last several minutes, the last 24 hours, or a historical period of time.
- It offers an idea of whether readership is on par for any given day of the week, or whether engagement is below or exceeding the average readership for that day of the week.
- Before my current newsroom switched to Parse.ly, I used another another platform (its largest competitor), and there were things I miss from that platform. This may be more perception than reality. But with the other platform, I felt like I was getting more real-time, live data. I felt like I could see the number of people who were currently, at that very moment, on the page. While using Parse.ly, I feel like I'm seeing a count of people who visit the page over a set period of time.
- Retention is also very important to me. When looking at the dashboard on a different platform, I could see not only how many people were on the page at any given time, but also how long they were staying on average. Again, this information felt like it was being offered in real time, and it was right on the dashboard. With Parse.ly, it seems I have to click on the actual article to get that information.
- Gives author insight on specific traffic numbers for stories.
- Uses a simple format that is easily understandable.
- I would like to be able to breakdown stories by category or subject, not just author.
- When there are errors in the tracking, which isn't often, you miss out on crucial date for certain days or times.
- The way it breaks down the traffic on the last 10 minutes is super quick.
- Browsing Parse.ly is very easy in general.
- The e-mails on strategy are actually useful.
- It did take us a while to find where we can see our longform articles that are hosted outside our website (on Atavist, for example).
- There are posts from 2-3 years ago that don't have the numbers they originally did. In some cases, the numbers Parse.ly displays are way, way lower that what it had counted back then.
- Showing if they found our story from social media platforms or from going to our site directly gives us an idea of the kind of reach we have across social media.
- Seeing the "dwell time" gives us an idea of why readers spend longer in stories than others, is there a video? interesting pictures? an informational graphic?
- I think seeing what story readers click on next helps to see what interests them and if they care about a particular topic or not.
- I would like to see where in the world our readers come from - Right now it's not too specific.
- I would like to see what stories they were reading before they got to the one in question - Right now it isn't too specific.
- I would like to see the traffic for individuals to be included in stories that are shared bylines.
- Track reader usage habits and trends.
- Measure time spent on site and the sources of traffic those visitors came from.
- Honestly, it's pretty close to everything I expected from it. Perhaps the search function could be a bit more robust.
In-depth manipulation of data - less appropriate.
Upgrade for more than 12 months of data is disappointing.
- Data visualization of high-level site performance metrics
- Simple interface reduces the complexity and hurdle to understand digital analytics
- Easy to view top-performing content and content categories
- Daily histogram view not always the best view when looking at historical performance
- Not the best platform to use when comparatively analyzing historical performance
- I would love to see month over month or week over week performance vs only daily performance histogram chart
Parse.ly Scorecard Summary
Parse.ly is an analytics platform built for content and designed with the belief that the most successful companies are the ones with the best content. Winning in the digital content world, though, isn't easy. You need to create feedback loops and listen, though data, to what your audience is telling you.
With 30 unique attention metrics, subscriber tracking, and audience segmentation, content creators, analysts, editors, marketers and communications professionals can use Parse.ly to:
Grow their business and improve key metrics like reader engagement, conversions, and retention through data-driven insights.
Act on immediate real-time audience insights or analyze historical data to get a clear picture of the past and plan for the future.
With a built-in personalization platform product teams can use Parse.ly to create dynamic content experiences powered by data and personalized by user on their website and in their CMS or WCM.
With our data pipeline platform data scientists and engineers can use our enriched clickstream data to spend less time on data infrastructure and more time on data analysis and insights.
Parse.ly works with 300+ enterprise companies using their trusted data infrastructure:
The #4 most widely installed premium web technology on high-traffic sites (according to BuiltWith).
Parse.ly is used by leading media and entertainment companies, DTC brands, Fortune 500 companies, B2B enterprise companies, and anyone who believes content can move their business forward.
Visit https://parsely.wistia.com/medias/tbv33sc8sh to watch Parse.ly video.
- Has featureFree Trial Available?Yes
- Does not have featureFree or Freemium Version Available?No
- Has featurePremium Consulting/Integration Services Available?Yes
- Entry-level set up fee?Required
Parse.ly Support Options
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Parse.ly Technical Details
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