Dreamdata Reviews & Product Details

I like Dreamdata because it creates a clearer line between marketing activity, the customer journey, pipeline and revenue, giving the team better evidence for where to invest marketing dollars. Review collected by and hosted on G2.com.

I really enjoy using Dreamdata. That said, the reporting can sometimes be confusing because it’s real-time, and there isn’t a way to lock in or “stamp” a specific dataset at a given point in time. Review collected by and hosted on G2.com.

Dreamdata helps me to justify where marketing budget is placed as it is directly tied back to my CRM across MQLs, SQLs, Opps, and Closed Won. The content reports are received well by Product Marketing, the Analytics Hub is phenomenal for consolidated dashboards, and the Reveal section helps me to identify new ICP accounts. Review collected by and hosted on G2.com.

The interface can be tricky, especially when I’m trying to show revenue impact to non-digital marketers. It would help to have clearer explanations of what makes a visitor show up as an Anonymous Visitor in Customer Journeys—for example, whether it’s due to using an incognito tab, being on a new device, or not accepting cookies. Review collected by and hosted on G2.com.

I find Dreamdata one of the most comprehensive attribution platforms out there. It brings together our paid-channel, website, CRM, field marketing, and event data in one interface, so I can see what’s performing and make decisions. I really like that Dreamdata has leaned into AI and offers an MCP. Once the data stream is set up, I can use the clean, trusted data in our warehouse to run reports and get information through Claude, the LLM we already use, without having to maintain the setup or pull reports in Dreamdata. It makes things really easy. Dreamdata also makes it simple to connect our data, run the attribution model, and get insights. The initial setup was super simple: I connected the systems through a connector, authenticated, and didn’t need to do any coding. Review collected by and hosted on G2.com.

I don’t have a lot that could be improved. Continuing to add partners and integrations would be valuable. Product-data tools like Amplitude or User Hub could be interesting for people who use them for product analytics Review collected by and hosted on G2.com.

In addition to company journey view that we continue to use especially as part of our QBRs with the CEO, transferring audiences to LinkedIn and Google through the Audience Hub, I also appreciate the recent improvements to the reports. The Dreamdata team continue to be highly engaged with our account, very responsive and willing to run trainings for us and even with the agencies we partner with. Review collected by and hosted on G2.com.

Due to Linkedin’s recent change to how it categorizes campaigns (no more campaign groups), Dreamdata is now showing our LinkedIn Ads data in some reports in a way that is not helpful to us. Rather than seeing our campaign names, we see what Linkedin used to call “campaign groups”, which for us is very ineffective. Especially since this cannot be changed for the company journey view, our most used feature in Dreamdata. Upon feeding back with this information, our account team did add the info we were missing in some reports, but confirmed there is nothing at this point that can be done for the company journey view. I hope this can be looked at again at some point. Review collected by and hosted on G2.com.

we’ve started using Dreamdata more as part of our overall revenue marketing strategy. We still use it for attribution and understanding the buyer journey, but we’re now looking more closely at how marketing activity connects to pipeline and revenue.

It’s especially helpful for seeing how different touchpoints contribute to an opportunity. B2B journeys aren’t usually straightforward, so having a clearer picture of what happens between the first interaction and a closed deal helps us make better decisions for our clients.

We’ve also found more value in using the data for paid media and identifying accounts that are showing stronger buying intent. Overall, we’ve gotten more use out of Dreamdata as our approach has moved beyond just lead generation and more toward revenue. Review collected by and hosted on G2.com.

Segmentation customization for enterprise departments and product lines. Review collected by and hosted on G2.com.

The ease of use. I've used a number of other similar platforms over my career and it's much easier to just jump into DreamData and start building a report. The integrations appear to be robust and the support from the team during onboarding has been excellent. Review collected by and hosted on G2.com.

There are a few slightly odd niggles in the report building flow. For instance, the only way to have multiple graphs on a dashboard is to add them from the report building view and manipulate them subseqeuntly. Review collected by and hosted on G2.com.

After we implemented dreamdata we finally were able to show how all the marketing touch points contribute to sales/revenue. Before this we had fragmented data points in different systems and it was very hard to see the connection of various work streams to revenue. Review collected by and hosted on G2.com.

Nothing comes to mind. It has been easy to use and so far very helpful. Review collected by and hosted on G2.com.

Has helped change the conversation from volume of MQLs, to what is the impact on pipeline and revenue. Has given us significant insights into the performance of our campaigns and channels from an influenced and attributed perspective we simply wouldn't have had otherwise.

Lots of off the shelf integrations mean you don't require huge levels of operational support to start getting insights. Review collected by and hosted on G2.com.

Was previously difficult to easily compare campaigns and their impact through key funnel stages without running a lot of different reports. Luckily the recently release Analytics Hub has helped a lot in this area. Review collected by and hosted on G2.com.

I have been using dreamdata for about 4 years and I am glad to see the updates and innovations they have made. To explain a few of the features I use and like the most, my favourite feature is that it offers direct links to all marketing channels and we can analyse them on a single platform and see how much we spend. Yes, we can do this with any BI tool, but in dreamdata we can see it on a ready-made dashboard in minutes. It is very easy to use for those who are familiar with digital tools and I did not have any problems with integration. However, an instruction section would be good for inexperienced users. The most important issue is conversions. The new data-driven conversion model at Google doesn't show everything you need to see. Dreamdata shows when and on which platform a potential customer first interacted, how they interacted, and even the interactions of others from the same company. This in-depth information allows you to see more clearly which marketing channel is really successful Review collected by and hosted on G2.com.

There's not much not to like, the current design is constantly being updated, but I think I'm looking for a bit more colour. Review collected by and hosted on G2.com.

Dreamdata is great for showing me the overall value of a particular channel—for example, how LinkedIn influences conversions that ultimately land via other channels. At the same time, it also lets me dig into an individual customer journey and map the touchpoints across different marketing campaigns, along with more general interactions with our business. It’s almost like having both quantitative and qualitative attribution in one place. Review collected by and hosted on G2.com.

Dreamdata has a lot of complexity and a lot of features, which can drive a lot of value, but I’ve found it difficult to get less technical marketers to adopt the platform because of that. For experienced marketers who understand attribution and are comfortable with various forms of martech, it’s fine and makes sense.

Integration with Microsoft Dynamics could be smoother, as this has presented us with some challenges, although I acknowledge that our very customised CRM setup is likely the real driver behind those issues. Review collected by and hosted on G2.com.