Hull CDP, from MessageBird vs. Treasure Data

Hull is definitely the leading CDP for the small to mid-sized business in which the marketing team wants or needs to have a fair amount of autonomy from engineering, or when it's unrealistic or cost-prohibitive to use internal engineering resources to maintain the marketing database. It's also a great choice for companies who are trying to bring newer and smaller best-of-breed elements into place in their marketing--enabling you to sync customer data records to CTAs/ Chat scenarios/ Email Service Providers, or any type of 3rd party campaign tools. It's probably not the best fit for companies trying to stay in a larger Marketing Cloud Ecosystem, e.g. Adobe/ Oracle.

Incentivized

Treasure Data is well suited to integrating multiple data sources, including online and digital sources. It is also well suited to trigger audience activations to known customers based on their online activity, integrating 3rd party data, and activating target audiences to ad platforms.

Incentivized

• Slack integration - we revolve around slack as our central comm hub and having our customer information surfaceable is just gold.
• Making back-end data easy to read and digest - there is a lot of data that gets generated by our customers and it's impossible to sift through without Hull consolidating that information for us.
• Customer support - we have only had a couple issues in the many months using Hull and it's always been a quick resolution. They use Slack to support BTW which I love.

Incentivized

• CDP provides a unified view of data from all touchpoints in the customer journey until a single customer uses the service. This feature is very helpful in making service decisions and direction.
• It provides a variety of extensions to bring your data together in one place and helps you do this easily.
• Kits provided by Treasure Box provide basic but helpful methods for further development of services.

Incentivized

• Needs a deduplication engine
• Needs to be able to perform bulk and automated data cleansing (unified data is messy)
• Needs to integrate with more tools
• Needs to be able to be tailored to different use cases, such as a retail/ecommerce use case, with RFM metrics

Incentivized

• Documentation is not always fully update --> better off reaching to support for some topics that are not covered
• Small bugs on the graphical user interface
• If 2 people are editing on the same project simultaneously, the latter that saves the workflow overwrites the changes of the former one

Incentivized

I do think that we definitely will be renewing. We are putting major resources, time, and effort into Treasure Data becoming an extension of our organization, in many ways. We are working toward complete synergies with this product and leadership is very excited about the direction we are heading to be completely customer-centric.

Incentivized

It's a easy platform to use and give the user detailed logs about what is going on in the workflows, so someone that do not have a lot of experience can start to work with it. And also the master segment usability is awesome, as we can filter a lot of data the way we want.

Incentivized

As treasure data has a 24 hours support, every time we has big issues that impacts the zones, we do have immediatly support from the treasure data team, so I would say that we do not have any issues with availability

Incentivized

Since treasure data has started having a huge amount of data, sometimes we do have problems with the workflows logs because we generate a lot of then. But with integrations I have not to complain, its really easy to integrate with other platforms.

Incentivized

The technical team has a good hold on the nuances of the data related to our organization. I have found the online technical support on their site quite responsive including the L1 support. In cases where the L1 team isn't able to resolve, I have found they are prompt in getting the product team's input to get a quick resolution.

Incentivized

I was not here when treasure data was implemented to our company.

Incentivized

I wasnt here at the training in the start, but I had a few training with treasure data for a few functionalities, and they provided me god explanations and great documentations, eve if the project were in beta.

Incentivized

Implementation was quick and our developers had very few issues with the SDK.

Incentivized

We had initially identified Segment as a solution due to the number of integrations they supported. The problem is that with Segment we would have still had to build and maintain a database along with query tools. Overall Hull emerged as a better starting point for us

Incentivized

We chose Treasure Data for the supreme customer service and lack of hidden costs. We don't need to manage any infrastructure or scale anything to meet customer demand. Treasure Data handles everything and makes it easy for us to integrate and focus on the tasks at hand. There may be cheaper options but we do not regret our decision to go with Treasure Data one bit.

Incentivized

In abi we do have a lot of data coming every day, so treasure data always give us god solutions and options that would fix the problem.

Incentivized

• Positive: No longer asking engineering for customer activity data
• Positive: Allowing additional data integrations for where our customer activity data can be seen

Incentivized

• We have built and supported our source of truth data tables using Treasure. This forms the foundation of our decision making.
• Most of our Tableau data sources are created using a Treasure Data export which is executed by workflows on a daily basis which allows us to have visibility into day to day performance and communicate them to a wide variety of roles.
• We load custom data into our Salesforce instance which allows us to trigger certain workflows and build accountability - i.e. a "Sale" will only count once a certain product driven event occurs which comes from data we pipe into Treasure and then into Salesforce.

Incentivized