Akamai mPulse vs. Countly vs. Heap

In general, if you manage a website, you must have a real user monitoring tool. mPulse is one of the leaders in the market, so if you use this product, you can count on the reliability of the product itself. Personally, I think that if you need to collect technical KPIs, mPulse is a good choice. If on top of technical metrics, you want to collect also business KPIs, potentially there are other products doing this better.

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Whether you're planning to include it into a website or a mobile application, this arrangement is simple to implement. The best feature has to be its superb "division," which allows you to delve deeper into your data without using SQL-like queries. On Ubuntu, the free "group version" can act organically aided.

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Scenarios when Heap was well suited: It is when a user claims that he encountered a bug without giving us the details of the error message. Scenarios where it is less appropriate: Its when we try to capture user interaction in our mobile app

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• Real time data: you can know in real time how your website is performing.
• "What if" functionality to choose, from a business point of view, the right web pages to improve
• Understanding what are the slow pages and seeing the impact on the global performance from a technical and a business point of view.
• Waterfall functionality - possibility to go in details to a specific session.

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• Open-source and Self-hosted - Countly can be completely self-hosted, which makes it really easy to offset costs of a competing service like Segment or Mixpanel for early-stage companies.
• A large number of SDKs and platform support - Countly provides fairly comprehensive support for mobile applications and general tracking. As a result, it's pretty easy to create comprehensive tracking of events for any company.
• Custom queries, access to data - You have instant access to data and extensive customizability which makes this platform fairly easy to use for any purpose of user and market tracking.

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• Realtime interactions which are captured automatically is a unique feature which no other product offers.
• Low code implementation is a big plus for marketing teams, as there is less dependency on engineering
• Detailed customer behaviours can be studied with captured replay sessions
• Due to all the above points - it helped to improve customer experience

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• The creation of a specific dashboard is not easy. You can leverage the available dashboards but if you need something else is not so easy to achieve.
• Old UI - the look and feel of the product should be improved. It seems very old.

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• No specific thing in mind. All is good except sometimes the customer service lags a little when you have problems setting up the tool.

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• I think Heap can improve its onboarding; I would love to see some info that is helpful for someone who isn't in Heap every single day.
• Sharing dashboards can be tricky, it feels like a huge learning curve that I already have forgotten how to do.

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It's a great platform. I'm glad that one of our product managers introduced it because it has allowed us to create all kinds of new functionality. We're not only able to create a better product experience from our communications because of Heap, but we're also able to generate all kinds of helpful analysis.

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On a scale from 1-10, I find Heap to be incredibly user-friendly and easy to use. I enjoyed the training videos available and was quickly able to pick up how to create events and reports to track user interactions on our product. I would recommend Heap for its usability first and foremost.

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I've never run into any issues with Heap's availability, Heap is always there when I need it. I haven't run into any issues like application errors or unplanned outages during my 2+ years of using Heap. Each and every time I log in to Heap I have a completely functional experience

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Heap doesn't affect page load times considerably nor has a large impact [on] our overall score, as far as page loading times inside of the tool its pretty reliable to retrieve data as much as "instant" that it can be the delay seems to be on data getting tracked into the servers to be read but it's not significant.

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Countly practically does everything you need it to do. However, it can have challenges of its own sometimes.

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Heap support has allowed us to troubleshoot and test a lot of different items. Their support team is always helpful and friendly, even when we come to them with the most complicated questions. I think this greatly improves the value proposition of the product because their support team is knowledgable and friendly.

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The implementation was smooth and easy. The Heap team helped us with implementation and it went great! Within a few weeks, we were fully up and running and utilizing the platform to its full capability. This is an additional thing that has made this platform so great and we couldn't recommend it enough.

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Generally speaking, both products allow you to not be blind on your website. Easily, you can see how your website is performing. At the moment, Blue Triangle is better than Akamai for the business part (there are more business metrics collected and many more available dashboards for consuming this kind of data). Moreover, the look and feel and the usability of the Blue Triangle portal is better than Akamai one.

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Countly have two main elements that make it the better option. First is open sourced so you can edit with code new options and new events, also you can use a variety of plugins depending of the necessities of the users and the objectives of every analysis. The second characteristic is that is very easy to use and even if is open source and the code could seem complex everything is very intuitive.

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Heap offers a ton of functionality on a single platform.It also has an smart data science layer to offers suggestions for next steps in the analysis, allowing us to explore alternative paths we may not think to take. The low-code option for updating data is appealing, and there is a lot of automation with minimal engineering effort.

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The most challenging part of using Heap in a growing organization is the naming and structure in which reports and dashboards are organized. I work within the marketing department and our Heap leader internally works within the IT/Product department, which makes it challenging because we often don't speak the same language, so the learning curve has been steep without any specific use-case examples to leverage online.

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• Choose the right pages to optimize.

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• Allowed me to understand my customer on a deeper level
• Allowed me to tweak my content and sales pages
• Allowed me to better understand my target market.

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• It has helped us make decisions on what products to scope for our MVP based on the usage data.
• It's allowed us to measure success with our beta product.
• It's helped us view our conversion rates in an easy and usable manner.

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