Heap Pricing

example when we launched a new pricing page we were able to instantly analyze user behavior. All this has made it easy which pricing plan clicked most and where … analytics capabilities are still not mature. For small enterprises Heaps pricing could be unpredictable as it doesn't offer clear public pricing. It would … would be really helpful for enterprises if th…

the ROI has met our expectations. The cost of this tool is the most appropriate for the company, the quality and price ratio is at its best levels and we

pricing would be a likely aspect speed seems to suffer a bit but at this massive

Heap is better then Pendo and Amplitude. Compared to Amplitude, Heap is cheaper and easier to analyze and use. Configurations might be cumbersome but in

various use case to visualize data and learn more about it. It is very well priced for the features it has and could be used with so many integrations coming

reviews and market credibility, with minimal similar products at the same price point.

easier to perform different time comparisons within funnels. Offer a cheaper price plan.

on elements. [It's] very easy to onboard new users and to start getting value out of it. [It] provides contextual tips [on] how to best look at your data

them with the most complicated questions. I think this greatly improves the value proposition of the product because their support team is knowledgable and

track user paths and the frequency of user events. We use it to calculate cost-savings events and can get an idea of what features should be easier to access … We used Heap to calculate cost-saving events and find out how to make events easier on the UX. We want to

Tableau offers more advanced features, but at a much higher cost across all dimensions: price, difficulty of implementation and integration, onboarding effort

define events without engineers. Simple interface and intuitive UI/UX. Cheaper than other high end analytics tools. … dynamic product analytics capabilities that we need. Amplitude is more expensive and has good features, but it takes longer to implement.

was able to complete the same build in minutes and obviously for no extra cost, so that was a frustration.

Firefox support would mean a lot to my team. It could be cheaper. We've found bugs during updates in charts.

If you have a huge user base, it is a cost-effective method of collecting usage, and trends and analyzing how people

know they have some new tools for that but it's a significant additional cost and we haven't tried it yet.

respective focuses, but bringing that up to par (for free, not for an extra cost) would make Heap, for me, a no-brainer decision vs. GA.

need to perform significant and complicated analysis, there are some more expensive enterprise players that have more features and full stack type of integrations

Cost

support. Effectively you dont need to be a hardcore data person to get great value from the tool.

We use Heap to showcase the value of our product. We are able to see conversion rates and where our product drops off in conversions. As a B2B company … company, we're able to show our customers the value of our product against others. We can make changes and see the impact…

More presentable for exports Custom values Integrations with other tools