Dreamdata Erfahrungen

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.

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

All of dreamdata's functions provides a far simpler way of understanding analytics than google. Dreamdata get marketers better than Google!

Only that my business doesn't have enough data (right now) to use paid version!

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.

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.

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.

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.

It just works very well for us. Very good tracking and dashboards/overview.

We haven't really found anything yet, but we don't use the most advanced marketing attribution features. Perhaps it was in the past a bit more for specialists, but now we find it very easy to use.

It solves the B2B attribution problem. We have already found places for improvement thanks to it.

Some of the data visualization is not the best

It gives B2B marketeers data clarity and the power to easily report results and make the right decision regarding budget.

Still a relatively young product, can improve its UA.

Exactly what you need. Not more not less.

There is not much. The perfect thing would ready made template reports for some use cases.

I really like the customer support. Always available to help.I also really enjoy the videos/tutorials on Linkedin!Thanks for all the resources!

Some metrics are missing, but the platform is continuously improving!

Great account-based marketing platformDreamdata has been incredibly beneficial to me as an account-based marketer. It has helped me better understand my account-based journey, identify my target audiences, and measure my ABM ROI. On top of that, Dreamdata is easy to use and requires minimal setup.

Dreamdata has minor limitations. The platform may require account-based marketing knowledge to use. Dreamdata may cost more than other account-based attribution services.

Permite obtener una visión completa del recorrido de los clientes, desde la primera interacción hasta la conversión, y así tomar decisiones informadas para maximizar su ROI.

Ofrece una gran cantidad de datos y análisis, por lo que si no tienes experiencia previa en análisis de datos puede resultar abrumadora y difícil de evaluar.

Dreamdata has definitely been a game-changer for our company.

Before using it, we weren't able to know exactly where does the revenue comes from. We were limited to the classic single-touch attribution model (first touch). This was frustrating and non-efficient at all to make decisions.

We've built a custom model with DD team, which is super responsive and helpful - Kudos to [SENSITIVE CONTENT]-.

The output is we're now able to know at a super granular attribution in order to measure the impact of a specific ad campaign, outbound email messages, and even offline actions. We track the whole account's interactions from the first touchpoint until they become customers. We've built our own model to dissociate strong touchpoints from low-value touchpoints and attribute a specific part of the revenue to the channel that has created the conversion.
So we can easily optimize the funnel based on those insights.

What I like the most with DD is that all their data is available in our data warehouse, which allows us to use SQL use Reverse ETL tools to match their data with the whole database in order to make better decisions.

The time to implement to solution has been a bit long.

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

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

What I really appreciate from Dreamdata is quite a rich integration library with a simple setup. Compared to other solutions, I have found Dreamdata customer-centric, focused on seamless experience from day 0. While it requires cooperation with a dev team, it is still easy to configure.

I have some desired features the dev team is already working on - especially Stripe integration. I could also use some more industry-specific integrations for us. However, I do realize every roadmap is demand-driven and they can not provide me will all integrations from day 0.

The revenue analytics section with all the configurable dashboards, charts and tables. The number of filters that you are able to apply to slice the data and get to the view you are after. The option to save reports for future use.

It would be great to be able to customize and even correct campaign data. Campaign tracking is a challenge for everybody and having the option to amend tracking mistakes would make a huge difference.

We've been using Dreamdata at Gorgias for more than 8 months, and it's been a game-changer for us in the way we run our marketing and decision-making.

Dreamdata helps us understand the impact of any company experiment and any marketing action.

The product and stack is complex, by the nature of it, so it takes time to setup. I guess it's a good problem to have though! :)

It has never been so easy to write a report of paid advertising and webinar events with dream data it's simple and easy everything u is In order to centralize services within a company.

Data monitoring is quite tedious and too much effort to correctly configure the actions to be validated