Dreamdata

Help us in making marketing decision

Fordele:

As we switch to multi-touch attribution, Dreamdata has operated as an invaluable help for us with implementation, technical inquiries, and specifications. The specialised staff are efficient at releasing updates, and the product evolves often. It's a top contender for use in profit attribution.

Ulemper:

It requires effort and time to get everything in line, from the systems and data to getting everyone on board with the new standards. I want to be capable of creating customised notification.

The ultimate tool to report on the revenue generation of marketing campaigns and channels

Kommentarer: With Dreamdata, I can now demonstrate the effectiveness of marketing channels and campaigns to my company's leadership. I can also allocate budget to online channels in a data-driven and result-oriented way, not limited to the usual CPL metrics, but focusing on real full-funnel CAC.

Fordele:

Dreamdata is a powerful multi-touch attribution tool that tracks both paid and unpaid channels via UTMs and native connectors to CRMs, ads platforms and other tools. Data is then processed to provide information on how much revenue is attributable to each marketing channel and campaign, how long is the sales cycle, which were the marketing and sales touchpoints of a certain account, how much did they contribute to the resulting revenue, and many more. It provides very interesting data views and full-funnel revenue attribution models that would be extremely resource-intensive to capture and analyze via a custom in-house solution. The Customer Success team is the best I've ever seen in any of my vendors and really assists customers end-to-end, not only with technical help with setting up the software, but also in terms of attribution modeling; they partner with clients to fine-tune and customize attribution to suit each business' unique reporting needs. It's a feature-rich product with clear and detailed native dashboards, but it can also push data to external dashboards built in i.e. Tableau or Google Data Studio, giving even more reporting flexibility. Last but not least, it is extremely good value for what it does, how well it does it and for the amazing customer support that the company provides.

Ulemper:

Dreamdata is a very solid product with only a few minor weaknesses that do not hinder its usability in any way. It would be nice if it could push data to SFDC, rather than just pulling it, and if there were mouse hover tooltips that would help understand some technical terminology here and there. What's great is that they consistently seek feedback and follow up by putting new developments all on their product roadmap, resulting in new features being developed and launched regularly.

Overvejede alternativer: Bizible

Grunde til at skifte til Dreamdata: Better customer support, better value-for-money

With Dreamdata- Customer Journey and attribution made easy

Fordele:

Since Dreamdata is easy to use the non technical marketers can easily find out which channel are driving most pipeline with Dreamdata reports. Additionally the tool is able to combine all the sources at one place.

Ulemper:

Despite the fact that the tool has the ability to be customised, the customisation and integration takes often time.

Perfect for online marketeers in B2B companies with offline revenue conversion

Kommentarer: Great experience with the software and the supporting team. It's really something to get an onboarding such as the one we got.

Fordele:

The possibility and feature that enables us to undertand which campaigns and channels that is driving revenue is absolutely extraordinary.

Ulemper:

The software would be even more awesome if it had an integration with Sleeknote.

Data governance and attribution using Dreamdata

Fordele:

We keep tabs on the profile to see if and when they convert into a subscriber or a client. We've developed our algorithm to identify high-and low-value exchanges and assign a revenue ratio to the platform responsible for driving conversions.

Ulemper:

It takes too much time and effort to properly arrange the task or process that need to be evaluated for data governance. I wasn't too hard, but take time to do it.