Countly is a product analytics solution and innovation enabler that helps teams track product performance and customer journey and behavior across mobile, web, and desktop applications. Ensuring privacy by design, Countly helps the user to innovate and enhance products to provide personalized and customized customer experiences, and meet key business and revenue goals. Countly empowers companies of any size or location to grow their business by helping them securely process billions of…
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Heap
Score 8.1 out of 10
Mid-Size Companies (51-1,000 employees)
Heap is a web analytics platform captures every user interaction on web iOS with no extra code. The tool allows you to track events and set up funnels to understand user flow and dropoff. It also provides visualization tools to track trends over time.
$0
Up to 10k sessions/month
Pricing
Countly
Heap
Editions & Modules
Countly Enterprise Edition
Personalized Plans
per month per data point
Countly Community Edition
Free Forever
Free
$0
Up to 10k sessions/month
Growth
Starting at $3,600 annually
Up to 300k sessions/year
Pro
Contact Heap Sales
Custom sessions per month and unlimited projects
Premier
Contact Heap Sales
Custom sessions per month
Offerings
Pricing Offerings
Countly
Heap
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
Customizable, with free Community Edition (free forever) and free Enterprise Edition trial (free for 1 Month).
Heap pricing is based on session volume. A session is a period of activity from a single user on your app or website. It can include many pageviews or events.
Countly is wonderful. It mhas affordable options for startups that are experimenting with event and market-tracking services that can't afford more expensive services but do have the cloud credits to operate Countly. For later-stage companies that have the money, but not the time to set up a service like this, a service like Amplitude, Segment, or Mixpanel may be a better alternative.
Heap is well suited for 1. Capture customer journey with session replay 2. Identify customer behaviour and improve overall customer experience 3. Frequent and quick implementations and modifications 4. Comparative analysis for historical marketing insights Heap is not so well suited, if the aim is to capture only analytics data without any goals to improve upon customer experience / targeting appropriate users based on data tracking.
The Auto Capture function does indeed save quite a bit of time, and being able to build new reports off historical data is really valuable.
Interface is really intuitive and user-friendly. Much easier to pick up and use than GA.
Building reports out on the fly is really quick and easy, allowing you to give right into all kinds of analyses.
The Event Definition screen is really useful, giving a quick glance at the most used events, which you then decide to turn into conversions or goals if you want.
Bad UI - The UI is quite outdated and poorly designed, which was one of the principal reasons for us moving away from Countly.
Some poor documentation - 3rd-party documentation and tutorials for some of their mobile SDKs are better than Countly's own documentation.
Server requirements can be a bit high - For startups with trial credits on cloud computing services, this may not be a problem. Otherwise, Countly can get as expensive as hosted services like Segment and Mixpanel.
Heap helps me understand key data points without fussing with the formatting of a dashboard. It gives me the benefit of data analyzation without the fuss of the formatting - as well as the ease of sharing data collected with my colleagues
Sometimes, Heap has issues reconciling similar selectors, and I have not found the manual tagging system to be the most intuitive, especially when best practices are not used when designing the front-end infrastructure. Even so, it helps that the data is unmodified, and all analytics are done through an interfaced layer, so damage and confusion [are] not permanent.
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
On a scale from 1-10, Heap loads pages fairly quickly. The only time I experience delays is when I am loading a graph with perhaps too many events or filters on the page. But in terms of creating or searching for events or viewing reports, I don't ever experience a lag.
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.
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.
Well, Countly is open-source. It got a very helpful community in its back that will surely help you on your projects. Countly is known for its mobile analytics and marketing platform for businesses. It excels at mobile data analysis and working directly with customers to boost engagement. Its main job in "user retention" is to assist you to comprehend custom activity in any component of your app and communicating that data to the server. Its user-friendly and well-designed app features improve consumer happiness. Unique features like in-app activity tracking and analysis can increase in-app usability and user experience, resulting in higher retention and income.
Heap is better because its easy to use, easy to install. With Heap you just add a snippet of tracking code to your header, instead of having to instrument each event like you do with other tools.
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.
