What do you dislike about HockeyStack?
The platform has real potential, but there are some meaningful gaps that affect day-to-day usability. I write this review because the tool is good; but there are a few frustrations preventing it from being great. And I hope it can get there.
Support responsiveness is an area that needs improvement. I find responses tend to be slow, and don't always address the root issue, which compounds frustration when you're troubleshooting. For example, anyone can schedule a call with the data analyst team for support through the portal, which in theory seems great. But they are 15 minute increments and juggling too many customer queries. I wish we had a data analyst that was dedicated to our team so they could build context around our business and use cases overtime.
The Attribution view is central to why you'd adopt a tool like this, so its current limitations feel outsized. Combined with dashboards that lack depth and flexibility, it's hard to fully realize the value the product promises during the sales process from a BI flexibility standpoint. Understandably agents are the future; but some TLC for the BI visualization department would help this feel more enterprise ready.
Data reconciliation is another pain point. When numbers don't align with Salesforce or HubSpot, there's no self-serve query interface to investigate independently, and support doesn't always provide the clarity needed to diagnose the discrepancy. The only option is the report building UI, which is not intuitive. Democratize access to the data. Give a SQL interface and table access.
In my mind the perfect AI + Marketing Analytics tool would look and feel like HEX for those familiar, but have point-solution functionality for the marketing intel world. For example, open access to the underlying data, allow us to query own consolidated data without pumping it to a data lake for an upsell. This way users continue to log into platform rather than BI tools. You get a tool like this and hope it's sufficient for markets to log in, self-serve, without worry about extra data engineering & BI resources. It's great you can put it into a data lake for an upsell; but why not make the platform the indisputable home base for all things B2B marketing analytics. Build a visualization layer that has more flexibility than elementary chart widgets whether you add more native functionality or open up to the user to leverage python to create our own charts. Then overlay agents overtop like you have today. I would not survive without a tool like that if it existed.
The product operates somewhat like a black box. The underlying logic for definitions and attribution rules isn't easily visible, documentation is not always clear, which makes it difficult to audit results or understand gaps.
Initial setup is also more involved than expected, and the lack of strong onboarding support makes the ramp-up steeper than it should be.
Overall, the product feels like it's still maturing. The bones are there, but the depth of functionality, transparency of the data model, and quality of support need to catch up with how it's being positioned in the market. Review collected by and hosted on G2.com.
