Adobe Real-Time Customer Data Platform vs. Treasure AI

In any scenario where we have a unique offline and online 'Person ID,' we are able to see great results with profile stitching within CDP. In cases where we do not have a unique Person ID between datasets, we find ourselves at a point where we would need to change our architecture to have the same Person ID to see results.

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

• Real time segmentation and profiling on high volume of customer data
• Integration of various customer data sources, ranging from CRM, Web Analytics, EDL and other custom sources
• Data governance of customer data in the platform, down to attribute based access controls
• Activation across paid media, marketing automation and experience optimization platforms
• Easy to use interface for marketers

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

• Some features that are not yet released to all customers are necessary to manage cases like device sharing
• The methodology of how data is stored and manage is relatively unique and requires some ramp-up to fully understand
• There are some areas, like deduplication, where the platform doesn't provide the flexibility one would expect

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

It helps faster deal cycles, higher win rated and a lot better prioritisation of leads. The churn rate is low this leads to a higher lifetime value. All decisions are now impacted with the real time data provided by Adobe Real-Time Customer Data Platform. It is very useful in increasing average revenue per customer hence this rating is well justified for the product

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

Activation - great Segmentation - in UI, there should be the possibility of writing advanced code Tags. Both Mobile and Desktop Data Ingestion - might be pain in the ass. Changing one customer attribute is time-consuming. It should be some super admin or some feature. One user can change some customers' attributes easily. Data Transformation - Maybe there are some modules for that in AJO?

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

Real time access of data Very popular so no need of marketing Customer profiles are updated immediately and easy to access multiple customer data Apt for both business to customers and business to business accounts Maintains strong focus on customer growth and standard profiles Privacy and confidentiality is better when compared to other customer data profile softwares

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

• Improved ability to target users across different marketing DSPs
• Increased click and conversion rate for Adobe Target
• Lowered opt out and bounce rates for email
• Decreased time to value on audience segmentation

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