Overall Satisfaction with Heap
We use Heap to back up front-end analytics data. Today we don't have time to do deep behavioral analytics, but down the line, I am confident that we'll want to start collecting and analyzing this data. By installing Heap, we can be confident that when we are ready to analyze this data, we have a base to start from, and at least we have indicators as to how we want to start our analytics strategy (versus starting with no data).
- Automatically capturing event data
- Backing up event data
- Analyzing front-end event data
- Better onboarding
- More transparent/consistent manual tagging system
- Reconciling multiple similar selectors
- Increased customer satisfaction
- Enabling product direction questions
- Retroactively investigating issues
Heap's implementation is by far the easiest across the different analytics products I've used. The only downside is that the analysis part is a bit more confusing to set up, and sometimes the confidence of the auto track is a bit shaky, although, these issues can usually be reconciled down the line as the raw data is solid.
Do you think Heap delivers good value for the price?
No
Are you happy with Heap's feature set?
Yes
Did Heap live up to sales and marketing promises?
Yes
Did implementation of Heap go as expected?
Yes
Would you buy Heap again?
Yes