DealHub offers a Quote-to-Revenue (Q2R) platform designed for the AI era, built to consolidate, automate, and accelerate the entire revenue lifecycle. The unified platform integrates AI-Powered CPQ, CLM, Subscription Management & Billing, and a Digital DealRoom into one orchestrated engine. DealHub provides enterprises with significant flexibility, enabling the design and launch of any monetization model, including SLG, PLG, Usage-Based, and AI Consumption models. The platform helps executives gain financial control and predictability through real-time visibility and seamless, native integration with CRMs like Salesforce.
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Our Project Manager, Sales Engineer, and Support team are highly engaged, responsive, and participative. It's not like before when we opened a ticket and wondered when all these big items would be solved. There were never too big of challenges that they were not able to address. Also their DealHub Academy is amazing! They show how to do it, enable optional exercises, and keep it true to only what's needed, instead of having to memorize so many processes that I don't even need to get things going or getting certified.
Slack integration and alerts are very helpful. Hubspot integration works well too. Once you learn about its quirks, it's easy to use. The approval workflow works well.
I like that DealHub is highly customizable. There are a few things we haven't been able to do, but for the most part we can build in all of the logic that we are looking for. I like how we are able to sync as much data as we would like over to Salesforce for use throughout our other systems. Also, the people working at DealHub truly stand out and make the company what it is.
The product has some limitations and inconsistencies when connecting data across internal objects, following their own best practices, which is currently solved by duplicating data and managing it in multiple places. It's kind of silly for a company that was able to create such a robust system, and this is impactful to us, as for our implementation, product parametrization is heavily used, and the data duplication leads to recurrent mistakes, as there is also no programmatic validation of custom parameters. If you miss updating one of these duplicated data points, you'll only know when your sales team tells you something is not working. In the several times I mentioned it, I didn't get a positive response in terms of a solution.
Frequent bugs, need to refresh constantly, lack of customization, difficult learning curve, not much troubleshooting possible on one's own without reaching out to admins
I do not like that you need to release an entire new version of the playbook every time you want to make one small change. This makes it challenging as an administrator to plan out releases because I can't start working on a new request until I have deployed other completed requests. Also, there are some items that we feel could use improvement but are not prioritized on the roadmap. Finally, the lack of a reporting interface has been challenging for us. Our Deal Desk team and approvers really struggle with having an easily accessible view of what they have approved, what deals for their team and coming up, and what the status of the quotes are.