Treasure Data is an enterprise customer data platform (CDP) that powers the entire business to reclaim customer-centricity in the age of the digital customer. It does this by connecting all data and uniting teams and systems into one customer data platform to power purposeful engagements that drive value and protect privacy for every customer, every time. According to the vendor, Treasure Data serves customers globally across a broad base of industries that…
Treasure Data is expansive, in matters of data collection, connectivity, among others. Further, the web personalization, which is a validated option in making the business more global and expansive. The accurate nature of digging the customer details and data extraction makes …
We felt that Treasure Data was far beyond the reaches of Looker and Stitch. The full integrations, easy to work with staff, and the overall culture of helping customers was our draw to Treasure Data. This has helped us to get up-to-speed, with a very minimal staff, providing …
Both Tealium and Evergage are mostly focused on online sources. They don't have as easy or robust data model capability to ingest CRM, e-commerce, or offline data. Bluevenn has good identity resolution like TD, but the Unify data processes/model are not exposed to the customer …
We selected Treasure Data because we felt they were the best fit for a publisher as diversified as Penske. Because we have so many lines of business and integrated systems, we needed a product that had an extensible framework and was not tied to concrete workflows.
Treasure Data is a leader in the CDP space with a very easy-to-use platform for engineers, the ability to customize, customer success and investment in our business, and the ability to provide value and return on investment.
Treasure Data seems to be more flexible and scalable compared to Lytics at that time (early 2019). Our possibilities to adapt the platform to suit better our complex business environment (global, multi country, multi brand) were also a positive point. And finally, their …
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 …
Treasure is a more centralized and focused platform than Salesforce. Salesforce has many solutions that they seem to piece together in order to create your desired stack. Treasure integrates very well with other 3rd party technologies and you also get a more personalized …
Customer Data Platform powered by TD provides details on customer journey & individual mapping as well. GA provided aggregate level data and not the customer details. We can focus in unknown customers as well using cookie data using CDP. Custom attribution model can be created …
Verified User
Director
Chose Treasure Data
Treasure Data has more customizations plus the cost factor.
This is the first big data environment that I have used for marketing purposes. But Treasure Data's infrastructure could allow any kind of business to be managed in this platform--that's why this is very interesting. It's not only a consumer data platform, it's a big data …
More flexible in terms of capability, better DEVOPS (though still not ideal), large and better out of the box features/connectors, better UI, cost, integrated audience studio and active data layer (real time access data)
I did/do think that Adobe Analytics is a good tool that helps bring in all data. I really think the big point with the tool is for metrics and de-duping across media campaigns. Treasure Data is definitely much more than that. You do get to see how all of your campaigns 'play' …
Unfortunately, I was not apart of the decision to onboard Treasure Data. I was very new to this space when I inherited this tool and initiative on my team.
Based on my experience, the most striking difference between the two platforms are the way their data models are organized. Agilone (now part of Acquia) has a very hard/strict requirement for integration with the source systems as we need to conform/adhere to their …