Musqot Marketing Planner vs. Parse.ly

I can only see where Musqot is well suited when it does our reporting & task management for marketing. But sometimes, I do wish Musqot could do more. Possibly do more than that. I would like to see it replace my CRM and a few other software.

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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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• Reporting.
• Budgeting.
• Task Management.

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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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• I think Musqot could possibly have an open API to integrate with Notion & so on.
• Possibly integrate with Hubspot as well.
• Maybe it's only because it's doing marketing; I think Musqot could do more & grow into a bigger software.

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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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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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I used Monday before as it was on my Instagram & Youtube feed. I used it a couple of months but got recommended Musqot and used that & we have not turned back. The team loves using it & we are still trailing a few.

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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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• When we were looking at Musqot, we realized that we could use this & not have to do this by ourselves or invest in a few other software.
• Musqot has also made our task management better - but needs more integration.

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• 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