Open Web Analytics vs. Parse.ly

Open Web Analytics is an opportunity for those that like to have skeletons for the start of customized solutions. The package offers several best practices set of features and functions. The possibilities add up to higher performance API for example from Google Analytics. The vast of additional features are of higher value because the market does not have other solutions. There are solutions around Open Web Analytics for example in SAP Design Studio that integrate beyond Content Management systems and attached Shops Systems to Warehousing, Logistics, and Deliverment Management. The market situation are covering all that is possible and has demand. The universality is implemented at the user interface and therefore unmatched and even robust for new kinds of visualization interfaces or input device types. A draw is that against payment system remains a security gap and data security and data safety might be a topic for each customer and user.

Incentivized

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.

Incentivized

• High performance track and state-of-the-art analyze the human use of website pages and apps.
• Combines conventional Google Analytics-like-tracking with heatmap-like-tracking features.
• Offers JavaScript and PHP based APIs for web analytics page integration of versatile tracking features.
• Supports best practices established for content management frameworks based on WordPress or MediaWiki.

Incentivized

• 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.

Incentivized

• Open Web Analytics can be available for integration for the broad mass in all PHP- and Javascript-based Content Management Frameworks.
• A shop for custom add-ons of the platform Open Web Analytics may be a big chance.
• Enhance in documentation, examples, best practices are a great chance to get more users active and a broader audience.
• Offer a closer integration to the leading tool Google Analytics in so many features and functions. Learn from Matomy for example.

Incentivized

• A more readily understandable visual guide to a visitor's pathway through your site would help understand what keeps a reader on-site.
• The total page view number for the day should be more readily visible--on the overview page, not just by going to Posts>Historical.
• Maintain the archive for longer than a year under all plans--it's a shame to lose year-on-year data quickly.

Incentivized

As an employee, this is difficult for me to comment as I am not directly funding or making these business decisions. However, it is a tool many get on with for surface level data that is useful to editorial teams.

Incentivized

The Parse.ly platform is very user-friendly and easy to use. User management is simple, and reporting setup only takes a few minutes. They provide very helpful documentation for implementing the scripts on your site and have great customer support to help with custom development such as implementing their content recommendation engine.

Incentivized

I rate this question this way solely because I haven't requested any support. I feel where I will eventually get support would be when we take Parse.ly up on some training that is being offered. We are looking to do that at some point after the first of the year and when our schedules support it.

Incentivized

Google Analytics is the market leader for web analytics. The package offers search engine marketing that can be integrated into Open Web Analytics. The features and functions of Open Web Analytics compare close to Matomo Analytics. In terms of market share Google Analytics has all and the other two have very little and their other competitors have almost nothing. That changes in specialized markets. Google Analytics is everywhere and much more influential than other search engines because of that particular service. There had been a dying period for such web analytics software packages. There are three kinds of web analytics software packages. Free/open source like Open Web Analytics and Matomo, Proprietary like Urchin from Google, and hosted/software-as-a-service-packages like the market leader Google Analytics. I consider all as rather different in performance. Those closer to the busiest server are the best for traffic. Heat maps are well placed on the hosting server.

Incentivized

Parse.ly does pretty well compared to Chartbeat, particularly when it comes to historical information and analysis options that are easy for employees to use after some short training. The onboarding for Parse.ly is intuitive, and the scheduled reports take away basically all of the inconvenience associated with regular metrics reviewing. But Chartbeat wins in its social audience tracking because it can source traffic to a specific social post, which can show you exactly how your audience is coming to your content and where you need to put your content to be sure you get that audience.

Incentivized

• Moderate lifetime operating costs.
• Enhances the performances of all online business interests enormously.
• Enables a great customized experience of web analytics.
• Compatible to web analytics standards and references.

Incentivized

• Sometimes in meetings our editorial director will point out stories that didn't perform well. To us, that means readers don't really care about the topic, so we'll pivot away from writing about that in the future. That might not be "business objectives" though.

Incentivized