Dreamdata Reviews & Product Details

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.

As a paid media manager, I find Dreamdata’s fast UI and its ad-to-CRM integrations to be real game-changers. Being able to filter by paid media every day saves me hours and instantly shows the true ROI of our B2B pipeline. It helps me move beyond vanity metrics, so I can confidently allocate budget toward the campaigns that are actually driving revenue.

Using Dreamdata improves my campaign performance by giving me the clear attribution data needed to optimize our B2B paid media strategy for true revenue generation. Review collected by and hosted on G2.com.

As a daily user, I can’t quite put my finger on what I dislike about Dreamdata. If I had to nitpick, it would be that integrations sometimes disconnect for no obvious reason, and I then have to reauthorise them (though that may be on the platforms’ side). I’ve also noticed there’s a strong emphasis on paid, with less focus on organic traffic and how organic is impacted by paid efforts. I know they work on creating custom dashboards and reports to suit individual needs. Review collected by and hosted on G2.com.

I like using Dreamdata for attribution, especially across content and ads. It helps us measure the effectiveness of content and see how many leads it influences and the impact our pipeline and deals. With Dreamdata, I can map the customer journey and identify which pages have the most impact at each stage. It also shows which content isn't performing well, so we can decide if it's something to remove from our site. I also find Dreamdata easy to use; it's very intuitive and allows me to click through prebuilt reports quickly. The integration with Salesforce CRM is seamless, which is a plus. Dreamdata is valuable for allocating monetary value to content, which is essential in larger organisations where justifying and proving content effectiveness is crucial. Review collected by and hosted on G2.com.

I think some competitors are a bit ahead in how much you can personalise the dashboards. It would also be nice to be able to sort of pick how you want to visualise the data, as I know some other competitors on the market also enable you to do this. Review collected by and hosted on G2.com.

I appreciate how Dreamdata solves the problem of fragmented and incomplete attribution data by connecting multiple touchpoints across the entire customer journey. It eliminates reliance on last or first-click attribution by showing how multiple channels contribute to pipeline and revenue over time. The biggest benefit for me is being able to move from channel-level optimization to true revenue optimization, which makes it easier to prioritize high-impact initiatives, validate experiments, and justify investment decisions with clearer data. It also helps the team understand which campaigns and channels are truly driving incremental impact. The initial setup was very quick and easy with their team assisting along the way. Review collected by and hosted on G2.com.

There can be a learning curve for non-technical stakeholders, which is why they employ people like Reese who are there to really help you understand and build things correctly. The core dashboards are strong, but getting to more nuanced insights sometimes requires additional effort. Review collected by and hosted on G2.com.

DreamData is an extremely flexible product that allows both for deep customization as well as really good out of the box functionalities.

Both our non technical and technical stakeholders have been able to leverage the reports and attribution model of DreamData for our B2B funnel to take important decisions for the company. The UI of the product is very intuitive.

We particularly appreciate that all the underlying data models are exposed via connectors so we can bring them to our data warehouse.

Their account support team has also been incredibly helpful and has been able to support us in enhancing our setup most of the time with within 1d response times. Review collected by and hosted on G2.com.

We'd like to be able to define multiple versions of the data-driven attribution model which is currently not supported.

It's more of a "good to have" rather than strict necessity for us to leverage the procuct. Review collected by and hosted on G2.com.

It helps uncover a lot of unanswered questions regarding attribution and what specific properties (campaing, landing pages, channels, etc) have contributed to our pipeline. It's very helpful in stakeholder management, strategy building and data analysis . Review collected by and hosted on G2.com.

There are some UX improvement which could make the platform really easy to use, such as a comparison mode between timeframes or between different filtering options (e.g. for different products). Review collected by and hosted on G2.com.

I like how Dreamdata gives us a complete picture of which channels are useful at each part of the deal by using its Data Driven model. It helps us chart results across various platforms like in-person events, webinars, performance marketing, and organic LinkedIn impressions. Before adopting Dreamdata, we were flying blind, especially with mid-funnel channels that were hard to prioritize. Now, we have the full set of marketing channels available because Dreamdata allows us to attribute results to all of them. I'm impressed with how Dreamdata assigns value to all the touchpoints across the customer journey using a data-driven formula, attributing the appropriate portions to touchpoints most correlated with winning deals. Review collected by and hosted on G2.com.

Multi-touch attribution is an art not a science and it's taken some time to dial in the relative importance of each channel. It would be great if Dreamdata could also run lift studies and integrate channels that are currently missing like organic X & Instagram impressions. Review collected by and hosted on G2.com.

Dream data really helps with attributing marketing and sales activities, which feels especially relevant in today’s B2B environment, where purchases rarely happen after a first interaction with a brand.

Have to also mention their amazing support team, where people know their product but also how and what it is best used for. Review collected by and hosted on G2.com.

I wouldn’t necessarily call it a downside, but it takes some time to figure out the platform and get everything set up. That said, I feel like many platforms for online marketing take time to get used to. Review collected by and hosted on G2.com.

I love how Dreamdata enhances customer journey analysis and makes it easier to understand the influence of multiple channels. The feature I enjoy most is the ease of offline conversion upload back to ad platforms, as this provides better data for ad platforms to learn and improve lead quality. Dreamdata streamlines the process of communicating the value of certain paid channels to clients, particularly those channels like LinkedIn that don't show direct conversions but have significant influence. The involvement of Dreamdata's team during setup is excellent; they work closely with RevOps teams to handle everything efficiently. Review collected by and hosted on G2.com.

Maybe only creating more dashboards. But again, it is not like Looker Studio where we can visualize everything as we want. You can still download all the data from Dreamdata. Review collected by and hosted on G2.com.