Glassix vs. Parse.ly

Glassix is best suited for small customer service teams that handle a usual high volume of tickets. For us, we need to answer pretty much the same repetitive or similar subject, 3-5 questions from our client base; by having the AI chatbot, we do not need to deal with this anymore and are free to do more with our time. What I would love to see more is some more guides and resources on the AI features, although we use them quite vastly here. Some tutorials on how to customize would be highly appreciated.

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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.

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• AI chatbot and automated workflows for our customer support.
• Unify all of our business channels into one inbox.
• Helping us resolve support ticket in the speed of light.

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• 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.

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• More guides on the AI features.

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• 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.

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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.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

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.

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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.

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Pricing is crystal clear, there is no limit on chatbot or AI interactions and resolutions, and there is no long-term commitment to lock you down for years. Also, their team is super friendly and always prompt to answer any question or issue we might have with the platform.

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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.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info

• Glassix paid for itself in the first few weeks.
• The product is easy to use and way more economical than the competition.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• 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.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info