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Dreamdata Reviews & Product Details

Dreamdata Overview

What is Dreamdata?

Dreamdata is a B2B Activation & Attribution Platform that provides the most complete B2B customer journey map anywhere. This empowers B2B marketing teams to orchestrate smarter GTM plays and measure how those efforts impact revenue, without relying on support. - Precise targeting: Build audiences using unlimited filtering and activate them by syncing to all major ad platforms. - Intent Signals: Trigger targeted activities on the right buyers at the right time using AI-identified intent signals and notifications. - Sync conversions: Automatically feed reliable pipeline data back with one-click conversion syncs so your campaigns optimize for revenue, not just clicks. - Scalable reporting: Measure performance and deliver reports that are easy to understand, always accurate, and aligned with your unique GTM - so your numbers drive buy-in, not backlash. Dreamdata is easy to implement and built to grow with you as KPIs, teams, and business grow. This keeps marketing at the centre of revenue impact and aligns your team and leadership around a single clear view of what’s working and when. This has already helped B2B marketing teams improve ROAS by 68%, grow ROI by 20%, and slash CAC by a third. Start with Dreamdata Free today.

Dreamdata Details
Product Website
Languages Supported
English
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Product Description

Dreamdata gathers, joins, cleans all revenue-related data in order to present transparent, actionable analysis of what drives B2B revenue.


Seller Details
Company Website
Year Founded
2018
HQ Location
Copenhagen, Capital Region
Twitter
@DreamdataIO
281 Twitter followers
LinkedIn® Page
www.linkedin.com
66 employees on LinkedIn®
Description

Dreamdata.io is a B2B revenue attribution platform that helps companies understand and optimize their customer journeys. By integrating data from various sources, Dreamdata provides insights into how different marketing and sales activities contribute to revenue, enabling businesses to make data-driven decisions. Their solutions focus on visualizing complex data relationships and improving the effectiveness of marketing strategies.


Steffen H.
SH
Overview Provided by:

Recent Dreamdata Reviews

Patrick C.
PC
Patrick C.Mid-Market (51-1000 emp.)
4.5 out of 5
"One of the most useful tools we have in our tech stack. I check it daily."
First, last, and multi-touch attribution are broken ways to measure marketing. I love that Dreamdata uses a data-driven attribution model that blen...
Verified User
E
Verified UserMid-Market (51-1000 emp.)
5.0 out of 5
"Complete overview with the best data sources possible"
We love Dreamdata, their customer journey mapping is second to none. They've started integrations with valuable data sources that has given us much...
Verified User
U
Verified UserMid-Market (51-1000 emp.)
3.0 out of 5
"Promising Platform Held Back by Setup and Support Challenges"
- Reveal allows us to find high intent accounts to outbound.

Dreamdata Media

Dreamdata Demo - Revenue Attribution
The discipline of revenue attribution explains how all your tracked revenue, over a given time period and attribution model, was generated between the channels that made it happen.
Dreamdata Demo - Time to Revenue
Time to Revenue is a critical KPI for B2Bs. Demand and Sales do not happen over night. You need to plan ahead. You need to do stellar execution through out the company. Marketing should start the journeys. Customer success should give qualified answers to product questions. And Sales shou...
Dreamdata Demo - ROI on B2B ads
Most marketers will admit, Adwords is a continued trial and error process. Set up experiments. See how they do. Learn. Try again. Due to long B2B sales cycle and multiple stakeholders ads often times are impossible to track to won accounts. Dreamdata can provide the missing link between a...
Dreamdata Demo - B2B Content Analytics
Content marketing is a pillar of B2B marketing. Only a few people can prove the value their content generates. This results in content being neglected, undervalued, done for vanity or based on gut feeling. Dreamdata links content to pipeline and revenue. By showing content's influence on deals...
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Official Interactive Demo

Dreamdata demo available

Try an interactive demo created by the software seller (right here on G2).

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209 Dreamdata Reviews

4.7 out of 5
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209 Dreamdata Reviews
4.7 out of 5
209 Dreamdata Reviews
4.7 out of 5

Dreamdata Pros and Cons

How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cons
G2 reviews are authentic and verified.
Patrick C.
PC
Head of Marketing
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about Dreamdata?

First, last, and multi-touch attribution are broken ways to measure marketing. I love that Dreamdata uses a data-driven attribution model that blends incrementality testing to let me know which channels are actually influencing revenue and which aren't. It's super intuitive and WAY easier to access useful reports than HubSpot. It integrates with multiple other tools and ad platforms with a few clicks. Super straightforward. The engagement scoring, reverse IP reveal, and audience building tools are also super helpful—I use them daily. Review collected by and hosted on G2.com.

What do you dislike about Dreamdata?

It's a great tool out of the box. There are times when I wish there were ways to have more customisation over the way data is presented in graphs and tables. But, for the most part, it does it's job really well. Review collected by and hosted on G2.com.

What problems is Dreamdata solving and how is that benefiting you?

It helps me understand a truer picture of channel ROI so I can make better budget allocation decisions. The data also makes it easier to communicate performance to the CEO and CFO by tying marketing influence back to pipeline and revenue. The engaged audiences feature is also super helpful as it allows you to blend company data with CRM data to get really granular with intent-based targeting. Review collected by and hosted on G2.com.

Tuna B.
TB
Head Of Marketing
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: Organic
Rating Updated ()
What do you like best about Dreamdata?

If you really want to understand what’s actually driving revenue in your marketing, Dreamdata is a no-brainer. It makes it way easier to get internal buy-in because you can finally show real data on what’s working (and what’s not).

The Customer Journey Map is probably my favorite feature. It lays everything out, organic, paid, all your campaigns, so you can see exactly how deals move from first touch to revenue. Honestly, it’s a huge eye-opener for B2B marketers trying to figure out where to double down and where they’re just burning budget. If you’re doing demand gen or ABM, this kinda insight is gold. Review collected by and hosted on G2.com.

What do you dislike about Dreamdata?

Dreamdata is great at building super engaged sub-segments for LinkedIn and other ad platforms, making targeting way more precise. But syncing these audiences isn’t always cheap, especially if you wanna get really detailed with your targeting and reach those high-value groups. The segmentation features are solid, but if you’re working with a tighter budget, the costs can add up faster than you’d expect. Review collected by and hosted on G2.com.

What problems is Dreamdata solving and how is that benefiting you?

Dreamdata isn’t just another analytics tool, it actually tackles one of the biggest headaches in B2B marketing, account-based attribution. Instead of just tracking random touchpoints, it gives you a full picture at the account level, so you can see which companies are engaging, where they’re coming from, and what’s moving them closer to a deal. Connecting sales and marketing data like this makes it way easier to spot high-intent accounts and understand what’s actually driving revenue. Review collected by and hosted on G2.com.

Daria G.
DG
Performance Marketing Lead
Information Technology and Services
Enterprise(> 1000 emp.)
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about Dreamdata?

What we like best is the ability to visualize a company's journey through all the marketing touchpoints. Because it's tied to Marketo, SFDC, Google Ads, Bing Ads and LinkedIn Ads, we're able to pull multiple sources of data in one place and see an integrated journey of the account. This also means we're able to showcase marketing's efforts better to the leadership in this way, as well as help us direct marketing investments to those accounts that need more "love" in order to progress through the pipeline. We particularly like to use this company journey map in QBRs and it often leads to many actions we can take to improve our campaigns.

Another useful feature is the ability to calculate ROAS/ROI, particularly for performance marketing efforts via Google Ads, LinkedIn Ads and Bing Ads. However our organization right now cannot fully rely on this at the moment due to the reporting requirements from the group, which is our own self-imposed limitation, not Dreamdata's fault. With that being said, we've been able to make informed decisions for which campaigns to invest more, so we're still making use of this feature somehow.

We've also just started using the Audience Hub feature, and are very interested to exploring the audience importation feature for LinkedIn Ads in the future.

From a customer support perspective, we've found the Dreamdata team very involved and patient, willing to go through multiple trainings with our many teams in order to ensure everybody understands how to use the tool, which is greatly appreciated. Review collected by and hosted on G2.com.

What do you dislike about Dreamdata?

We did have a moment during the implementation phase where we were a bit frustrated with the Bing Ads integration. Because of the industry we work in (mission critical software for financial services), we have one of the strictest IT security policies for enterprise companies in the world. As a result, we had issues with the Bing Ads integration not working as easily as the integration guide made it to be. The issue was brought up to the Dreamdata team and a developer was brought in to figure it out, but unfortunately weren't able to fully solve it. We're now using a workaround to make the integration work,despite it not being the best approach from a security perspective. If Dreamdata wants to continue selling this product to enterprise companies, it's important to ensure its integrations are compatible with a variety of security policies.

The platform can also be slow to respond and even fail to return requested information, especially if you're doing complex audience segmentations with 3+ filters, which is somehow expected with the sheer size of our database and no. of data sources we are pulling from, but would be great if it would be improved in the future. Review collected by and hosted on G2.com.

What problems is Dreamdata solving and how is that benefiting you?

Visualizing customer journeys, calculating ROAS/ROI for campaigns, uncovering customer behavior insights that can help us build better campaigns, transferring audiences to paid media platforms. Review collected by and hosted on G2.com.

Sara G.
SG
Sr. Marketing Operations Manager
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about Dreamdata?

The filtering and dashboard capabilities are robust. Once you've done a couple trainings with the team, it's overall a very easy tool to use. Even the implementation was easy because I set up about 90% of it during the trial with just a few tweaks and things to learn during the onboarding process.

I use this tool every day now and they are constantly updating and rolling out new integrations, which just improves our marketing efforts more and more. Review collected by and hosted on G2.com.

What do you dislike about Dreamdata?

It can be difficult to get the team to wrap their heads around the fact that the Performance reports are not a 1:1 to what we see in SFDC as it's analyzing when the *activity* took place so that's been a hurdle to get through.

There's also only one report type that I have found is missing from what I saw offered by the top competitor we assessed which is the funnel report to see user journies through the site or through key touchpoints. Review collected by and hosted on G2.com.

What problems is Dreamdata solving and how is that benefiting you?

Dreamdata has really bridged the gap between marketing efforts and the direct impact that has on revenue. Prior to Dreamdata, we used only a last touch attribution model, which left a big gap in organic performance tracking and email marketing impact. Now, we're able to see all those touchpoints and use the data-driven model to really see how those are influencing our revenue. Review collected by and hosted on G2.com.

Alexei I.
AI
Team Lead Paid Media
Mid-Market(51-1000 emp.)
Validated Reviewer
Review source: Organic
What do you like best about Dreamdata?

Showing the full picture of a lead's conversion (marketing and sales touchpoints)

Convinient workaround for Conversions API for LinkedIn/GAds

Great integrations between channels, attribution, and CRM

Easy syncs between SF and LinkedIn, making life easier for channel manager

Amazing customer support, same day replies

Great for B2B teams with smaller data/revops support, needing better data view

Game changer for signal based selling using Dreamdata, product pays for it self

Best tool to overcome common SaaS issue of inbound vs outbound -> moving to allbound Review collected by and hosted on G2.com.

What do you dislike about Dreamdata?

Not always easy to utilize touchpoint learnings, requires proficiency in data manipulation and ability to adjust internal attribution if one wants to make full use

A bit of a learning curve, but account manager's are wonderful to work with and upskill users Review collected by and hosted on G2.com.

What problems is Dreamdata solving and how is that benefiting you?

Connecting the dots across the prospect to customer journey (sales and marketing touchpoints) -> Bringing outbound and inbound closer together

Utilizing Conversions API -> syncing conversions, but also syncing audiences between SF and LinkedIn, without uploading lists manually

Signal based selling -> automating of website signals to outbound

Attribution Collaboration -> understanding performance of indirect demand channels without first/last touch blindfold Review collected by and hosted on G2.com.

Jill Z.
JZ
Director of Marketing
Mid-Market(51-1000 emp.)
Validated Reviewer
Review source: Organic
What do you like best about Dreamdata?

Dreamdata is the best tool I’ve used for journey mapping and gaining a full view of revenue attribution. As most marketers know, one of the most common questions we get is, “How much are we spending, and how does it tie directly to revenue?” This tool provides a clearer, data-driven answer to that question.

The platform offers impressive visibility into how each touchpoint contributes to revenue, making it easier to justify marketing spend and optimize performance. The journey mapping feature highlights multiple touchpoints across various channels, including social media ads (both paid and organic), email, and CRM data—capturing even phone calls and meetings. The integrations were surprisingly simple to set up and worked seamlessly with our existing systems.

Between Dreamdata and Hubspot, we can track a lead's influenced channels, first-touch, and last-touch before conversions, giving us a complete picture of the customer journey. Review collected by and hosted on G2.com.

What do you dislike about Dreamdata?

While the platform is incredibly powerful, onboarding assistance could be more robust. There’s definitely a learning curve when it comes to building custom reports that truly matter without getting distracted by vanity metrics. It can feel a bit overwhelming at first.

Like many tools, some of the best features require an upgrade, which pushes it beyond our budget. I also wish there was more real-time data for the sales team, such as notifying a sales rep when a previously stale prospect re-engages. Currently, I don’t believe there’s a way to automate alerts to Salesforce or send auto-emails to sales reps based on visitor activity.

All that said, Dreamdata is making updates regularly, and the tool is constantly improving! Review collected by and hosted on G2.com.

What problems is Dreamdata solving and how is that benefiting you?

Dreamdata is solving the long-standing challenge of connecting marketing spend to revenue. The most common questions I face is, “How much are we spending, and how does it tie directly to revenue?” With Dreamdata, we now have a clearer, data-driven answer to that question. The tool provides full journey mapping and shows how each touchpoint across multiple channels contributes to revenue. We can track influenced channels, first touch, and last touch before conversions, which helps us make smarter decisions on where to focus our budget and efforts. Between Dreamdata and Hubspot, we can track the entire customer journey and truly understand which efforts are driving results. Review collected by and hosted on G2.com.

CH
Marketing Operations & Data Analyst
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about Dreamdata?

Dreamdata helps collect data from multiple Sales and Marketing Channels and unify them under one common identifier - This enables us to follow a journey from first touch to a deal is closed.

By doing this we are able to look at specific journeys and analyze the steps towards more deals. Furthermore we are able to look from a broader perspective on attribution effect, time to value etc.

The implementation of Dreamdata is done with a simple scipt installation on our forms and Dreamdata have a lot of integration that is connected by using a simple login.

We use the tool almost every day for understanding how deals a progressing and for larger analysis of how well the performance are of our efforts.

Dreamdata are always fast in responding to any issues that might occour and have a community channels where both Dreamdata and other users are very helpful.

All the data collected can be also be used to do much better target of Linkedin Ads Review collected by and hosted on G2.com.

What do you dislike about Dreamdata?

Currently Dreamdata focuses on Sales and Marketing data - In future connecting multiple departments data could enrich the data to new hights Review collected by and hosted on G2.com.

What problems is Dreamdata solving and how is that benefiting you?

Dreamdata solves the issue of gathering all the different touch points that any customer might interact with to give a full overview of the actions they are taking - This enables us to follow and understand the journey our customers are taking. By doing this we can analyze and optimize our customer journey to make more deals. Review collected by and hosted on G2.com.

Noor Mohammad A.
NA
Growth Manager
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about Dreamdata?

Dreamdata is impressive for its robust B2B revenue attribution and growth analytics. Its strength lies in its ability to unify and analyze data across various customer touchpoints, giving businesses a clear, actionable view of what drives revenue.

The platform is particularly useful for aligning sales and marketing efforts, enabling teams to understand which campaigns and strategies truly contribute to conversions.

It’s intuitive, making complex data accessible even for non-tech-savvy users, and the integration capabilities are seamless, allowing users to pull data from various sources effortlessly. Review collected by and hosted on G2.com.

What do you dislike about Dreamdata?

Data Visualization is something I don't find intuitive and a bit complex in Dreamdata.

There's a much bigger scope and this can really be a game changer if Visualization capabilities can be at par with Mixpanel or Hubspot Review collected by and hosted on G2.com.

What problems is Dreamdata solving and how is that benefiting you?

Dreamdata solves a major challenge in B2B companies: understanding which marketing and sales activities actually drive revenue. The platform consolidates data from various sources like CRM systems, ad platforms, and analytics tools, linking them to form a cohesive customer journey. This helps companies attribute revenue back to specific actions or channels, making it clear what’s working and what isn’t. Review collected by and hosted on G2.com.

Talha M.
TM
Digital Lead
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about Dreamdata?

Dreamdata has transformed how we approach revenue attribution and data-driven decision-making in our B2B environment. As a Digital Lead, having reliable, clean, and actionable data is crucial. Dreamdata offers exactly that, empowering our team with the clarity needed to understand the true impact of every marketing dollar.

What I Love Most:

1. Data Transparency: Dreamdata connects and cleans data from multiple sources, like HubSpot and Google Ads, delivering insights that feel tangible and reliable. We can now trace a complete customer journey, from awareness to conversion, which is a must for accurate attribution.

2. Attribution Flexibility: The custom attribution models are excellent. We can tailor these models to fit our complex multi-touch B2B sales cycle, allowing us to identify which campaigns, content, and channels drive revenue at each stage.

3. Intuitive Interface & Usability: The platform is powerful yet easy to navigate. The dashboards are customizable, offering our team quick insights without excessive technical setup. For example, we can easily isolate data for specific campaigns or segments, making it ideal for tracking KPIs and adjusting our strategy as needed.

4. Actionable Revenue Insights: Beyond marketing, Dreamdata delivers insights that enhance cross-functional collaboration, especially with sales. This has been pivotal in aligning our teams with accurate data, fostering a unified approach to improving customer acquisition and retention.

5. Excellent Support and Continuous Improvements: The Dreamdata team has been fantastic. They’re always responsive and genuinely open to feedback, continuously introducing new features that further enhance our workflow and attribution accuracy. Review collected by and hosted on G2.com.

What do you dislike about Dreamdata?

While Dreamdata is incredibly comprehensive, I’d love the option to create and save custom dashboards. This feature would enable us to tailor views precisely to our team's needs and streamline our access to key metrics without additional setup each time. Additionally, incorporating more granular real-time data updates would be helpful for faster decision-making in high-stakes campaigns. Review collected by and hosted on G2.com.

What problems is Dreamdata solving and how is that benefiting you?

Dreamdata has been instrumental in solving several key challenges related to B2B revenue attribution and data-driven insights at Respond.io. Before implementing Dreamdata, we faced issues with fragmented data across multiple platforms, making it difficult to trace the full customer journey and measure the effectiveness of each touchpoint accurately.

Dreamdata helps us unify data from various sources, including HubSpot, Google Ads, and our own internal platforms, giving us a clear, single source of truth. This has dramatically improved our understanding of where leads are coming from, how they interact with our content, and which channels drive the most revenue.

One of the standout benefits has been Dreamdata's multi-touch attribution model. It’s allowed us to see beyond last-click attribution, enabling a more accurate picture of how each marketing effort contributes to conversions. This insight has been invaluable for optimizing our ad spend and improving resource allocation across campaigns. For example, we can now identify high-performing campaigns early on and adjust our budget and strategies to maximize ROI.

Dreamdata has also enhanced cross-team alignment between marketing and sales. With a shared view of data, we’re better equipped to collaborate on strategies, prioritize high-value leads, and shorten our sales cycles. This unified approach helps us make informed, data-backed decisions, contributing to both team efficiency and overall revenue growth.

In short, Dreamdata has provided us with the clarity and tools to attribute revenue accurately, optimize our marketing efforts, and foster stronger alignment across teams, making a significant impact on our strategic planning and execution. Review collected by and hosted on G2.com.

Trip K.
TK
EVP of Marketing
Small-Business(50 or fewer emp.)
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about Dreamdata?

Dreamdata is an awesome tool to provide deep, nuanced insights about our marketing and sales funnel, revealing the previously hidden influence of our multi-channel marketing efforts. Additionally, the Dreamdata team is awesome and helped get us set up quickly and is always available to help. Review collected by and hosted on G2.com.

What do you dislike about Dreamdata?

Not a dislike, per se... tracking the impact of offline sources, like leads from conferences requires a bit of manual effort due to Hubspot limitation. The Dreamdata team is superhelpful in getting this configured. Review collected by and hosted on G2.com.

What problems is Dreamdata solving and how is that benefiting you?

Provide a true multi-touch view of our marketing attribution. Review collected by and hosted on G2.com.