Heap vs. LogRocket

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.

Incentivized

It's incredible for anyone who works at a saas and does customer support. It's the first job I've ever used Logrocket at and it adds such a great layer of service

Incentivized

• 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.

Incentivized

• enhances the customer support journey
• allows non-techy personnel like myself to dive into customer issues

Incentivized

• 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.

Incentivized

• It's a shame recordings are capped to the previous month, but I believe this might be due to the plan we're on?
• Cropping sessions could be simplified I think - particularly the cropping tool's design

Incentivized

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

Incentivized

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.

Incentivized

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

Incentivized

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.

Incentivized

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.

Incentivized

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.

Incentivized

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.

Incentivized

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.

Incentivized

• 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.

Incentivized