I was excited about it first, loved everything they said they would do, but now there is nothing to like. The product is not real, just marketing. Review collected by and hosted on G2.com.

We bought HockeyStack in January, and by April it was clear we were not getting the level of support, urgency, or ownership needed to make the platform work.

The biggest issue was basic data connectivity. We could not even get the core dashboards set up properly because our data was not connecting in a reliable way. For a platform that is supposed to help with attribution and revenue insights, that is a pretty fundamental problem.

Support also felt rushed. Customer calls were often booked in 15-minute slots and regularly ended with some version of, “sorry, I have to jump to my next call.” That made it hard to get real troubleshooting done, and even harder to feel like anyone owned the outcome.

After months of trying to make it work, we decided to cancel the contract. At that point, there was no interest at all in understanding why we were leaving or trying to keep us as a customer.

I understand the excitement around agentic AI and revenue agents. From our experience, it felt like the company was moving in that direction while the core attribution product and customer experience were not getting the attention they needed.

But none of that works if the basics are not there first.

Connect the data properly. Help customers build the dashboards they bought the platform for. Provide support that actually has time to solve the problem.

That did not happen for us. Review collected by and hosted on G2.com.

I was HockeyStack's biggest internal advocate. Two years of championing the platform before finally getting buy-in. I wanted this to work. It didn't.

The core failure: they couldn't connect our data. Review collected by and hosted on G2.com.

The core failure: they couldn't connect our data. And this wasn't a complex data problem. Our systems are straightforward.

What was more disappointing than the failure itself was the lack of effort in trying to fix it.

Our demand gen, operations, and data teams made themselves fully available, Even with that level of cooperation on our end, HockeyStack couldn't answer basic questions or provide clear direction on next steps.

For a platform at this price point, that's not acceptable.

Onboarding was lengthy and complicated which would be fine if it led somewhere. It didn't.

With 90% of touch points requiring manual mapping, we were essentially building the integration ourselves.

The support structure is visibly strained. Account managers are clearly overloaded, and support calls are booked in 15-minute back-to-back slots not exactly the white-glove experience you'd expect at this investment level. Review collected by and hosted on G2.com.

The AI Agents are headed in the right direction. They're useful and well executed. And given the state of LLMs, I imagine they will outpace their competitors with what's already established. It's useful in it's current state. Review collected by and hosted on G2.com.

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.

HockeyStack allows us to follow journeys in a more complex way than our previous method, which is especially valuable with paid ads to see how they influence our funnel. I appreciate its broad capabilities because it really can do so much. I also enjoy the dashboarding due to the nature of the customization. Review collected by and hosted on G2.com.

Some of the setup is unnecessarily complex or confusing and there isn't a straightforward UI to guide you. Initial setup wasn't bad, but it took a while to get everything to match up accurately with our data. Review collected by and hosted on G2.com.

When its correct and working as expected, the hockeystack data can be very helpful for driving marketing decisions. Review collected by and hosted on G2.com.

The support continues to be absolutely awful. When I flag issues I am often told that it is just user error when there are fundamental platform, reliability and integration errors.

All the issues that were true when we first bought this are still issues today. The reports crash often, the platform is unstable and their docs are usually incorrect or incomplete.

At the same time, they continue to develop features that dont actually help me at all with marketing attribution. Review collected by and hosted on G2.com.

What it promises it can do - attribution. Review collected by and hosted on G2.com.

Implementation support is aweful - we were all excited in install HockeyStack and after 2+ months of trying to get it to work, it didn't. The implementation team at HockeyStack really didn't care. Sometimes it took them a week or more to get back to us to answer a few simple questions. We ended up cancelling our contract. Review collected by and hosted on G2.com.

What I like best about HockeyStack is that I was able to set everything up on my own with support from our CS rep. I didn’t need to involve our in-house data team and after learning the ropes, I’ve been able to continue building reports myself. I also really appreciate how easy it is to see all the touchpoints that lead to any KPI. It’s the kind of data I always knew existed but struggled to view in one place. The attribution modeling is also a standout feature and has already helped us make meaningful changes to our media mix.

They regularly release feature updates and move quickly to remedy any bugs that may pop up. Review collected by and hosted on G2.com.

The learning curve can be steep at first. It takes some time to understand how everything connects and how to structure reports in a way that works for your team. That said, once you get the hang of it, it's incredibly powerful and flexible. Review collected by and hosted on G2.com.

The product was live and fully integrated in under 2 weeks. From day one, we had real-time visibility into what was actually driving our pipeline. Odin AI is now part of our daily workflow—it gives us instant answers to business-critical questions without the usual back-and-forth across dashboards or spreadsheets. It’s fast, reliable, and actually works. Review collected by and hosted on G2.com.

I'm actually pretty happy, no big issues. We went with Hockeystack because we believed they had the most streamlined platform, a great team, and a ton of automation that eliminates manual work - and they've consistently delivered on all fronts. Review collected by and hosted on G2.com.

Hockeystack helped us answer the age old question "what is marketing's performance". The measurement and reporting tool allowed us to successfully analyze the entire buyers journey and evaluate our impact on pipeline & revenue. Our team can now, with confidence, report on attribution with clean dashboards that my CMO frequently takes into his executive meetings.

After we configured the measurement and reporting we then adopted the Account Intelligence tool, which has opened up a whole new world of opportunities for my team. We now operate within much more intelligent workflows that, with the help of the Hockeystack AI scoring model, elevate the right companies to our sales team with leads that are engaged, aware, and in a buying cycle. It has allowed us to transcend chasing form fills and focus on what actually matters.

Customer support has always been excellent! Out of our entire tech stack, nobody has better service than Hockeystack!

At first I was concerned about how to configure and manage the product but once I started tinkering around I found out how easy it is to start building once you operate within it for a bit. And of course if there was anything I needed help with, Hockeystack was there for us. Review collected by and hosted on G2.com.

There has not been anything that I have disliked about Hockeystack. Honestly, it's been a really enjoyable experience and I genuinely am always excited about what they are going to do next. Review collected by and hosted on G2.com.

I've worked in marketing operations for over a decade, and attribution has always been a buzzword among marketing and sales leaders, and for good reason. Understanding what's actually driving pipeline is critical. But traditionally, leveling up beyond basic attribution meant cobbling together whatever you could from the limited models available in platforms like HubSpot and Salesforce, juggling conflicting data across your CRM, MAP, web analytics, and paid ad platforms... and still never feeling confident in your source of truth.

Enter HockeyStack. It seamlessly consolidates all those disparate data sources into one place and delivers insights that go far beyond what’s possible natively in your CRM. Even better: the platform strikes a rare balance of being digestible, highly customizable, and—most importantly—ACTIONABLE!

Implementation was a breeze. Huge shoutout to Buğra, Aimee, and the rest of the team, who were always quick to hop on a call or point me to their insanely detailed documentation. Connecting all of our platforms (and we have a lot!) was incredibly simple, which meant less time spent on setup and more time getting immediate value out of the platform

One of my favorite features is the direct integration into Salesforce with an iFrame on the account object. Our sales team can see attribution insights without ever leaving the tool they live in.

Seriously...if you want to take attribution and your ABM efforts from clunky and vague to sharp and revenue-focused, you need HockeyStack. Review collected by and hosted on G2.com.

We have two business units inside of our Salesforce instance, so it took a little bit of time from the admin side just ensuring our data was only filtering in the right data. In the future, if I were starting implementation from scratch, I would have created a new integration user specific to HockeyStack that can only read the data we wanted to flow into the tool. Definitely not an issue with HockeyStack and more of a slight blocker we faced solely based on how our Salesforce instance is set up. Review collected by and hosted on G2.com.