Heap vs. USERcycle


Heap
USERcycle
Funnel Analysis Analytics
Funnel Analysis Analytics

Hacker News, Reddit, Stack Overflow Stats
  • 1.61K
  • 1.54K
  • -
  • 28
  • 4
  • 0

GitHub Stats
No public GitHub repository stats available
No public GitHub repository stats available

Description

What is Heap?

Heap automatically captures every user action in your app and lets you measure it all. Clicks, taps, swipes, form submissions, page views, and more. Track events and segment users instantly. No pushing code. No waiting for data to trickle in.

What is USERcycle?

We automatically generate and keep updated only the most informative and helpful visualizations, giving you the information you need to improve your user retention.

Want advice about which of these to choose?Ask the StackShare community!

Pros
Why do developers choose Heap?
Why do you like Heap?

Why do developers choose USERcycle?
Why do you like USERcycle?

Cons
What are the cons of using Heap?
No Cons submitted yet for Heap
Downsides of Heap?

What are the cons of using USERcycle?
No Cons submitted yet for USERcycle
Downsides of USERcycle?

Pricing
How much does Heap cost?
Heap Pricing
How much does USERcycle cost?
USERcycle Pricing

Companies
What companies use Heap?
136 companies on StackShare use Heap
See more
What companies use USERcycle?
0 companies on StackShare use USERcycle
See more

Integrations
What tools integrate with Heap?
6 tools on StackShare integrate with Heap
What tools integrate with USERcycle?
1 tools on StackShare integrate with USERcycle

What are some alternatives to Heap and USERcycle?

  • Mixpanel - Actions speak louder than page views.
  • KISSmetrics - KISSmetrics helps you get actionable metrics for your business.
  • Statbot - One-click business & growth analytics for Intercom
  • Popcorn Metrics - Visual setup for in-page user event tracking without coding

See all alternatives to Heap

Latest News
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February 20, 2018
Introducing: Heap’s eCommerce Bundle
February 15, 2018
Enabling New Projects At The Recurse Center
January 24, 2018
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Five Ways to Make Sure Your Analytics Spark Growth
September 12, 2017
A Guide to Modern Data Engineering
September 07, 2017
Too many big data tools? (An infographic)
August 29, 2017
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