Highlight
Successful together – our valantic Team.
Meet the people who bring passion and accountability to driving success at valantic.
Get to know usMarch 23, 2023
The valantic blog series on CDP implementation provides you with in-depth insights into the structured approach to project implementation: from planning to the individual phases of the implementation process to the downstream further development of the CDP. After initial preparations, the formation of the team, the distribution of roles and the specification, stage two now focuses on the basic configuration.
Now that both the functional and technical specifications have been established, the actual implementation of the CDP can begin.
In the first step, a so-called tenant is created in the CDP. This is a client account in which users can manage their licenses or applications. It is important to note here that it is advisable to distinguish between development and production environments – especially with regard to the data repository that will be created. In the preferred setup, both systems are separate and independent from each other. This has the advantage that changes in the development environment do not affect the live system in the production environment. In addition, extensive tests can be carried out to check the functionality of the implementation.
The use cases defined in the specification phase are now implemented within the CDP, and the customer schema is finally defined. In the process, it has to be determined which data records from the different systems – such as customer numbers or cookies – are combined to form a comprehensive customer profile. Here, too, however, some details need to be considered:
Since the respective hard and soft IDs can neither be renamed nor deleted later, special care is required. The ID concept should be well thought through in order to always assign all information to the right users. This is especially true if not all source systems share the same ID and several hard IDs are used.
Soft ID: The so-called soft ID is, for example, information collected with cookies. Here, each customer can have several IDs if identification takes place via different browsers or devices, for example.
Hard ID: A hard ID is usually the email address that customers use when registering.
Based on the defined IDs, the “merge & match logic” can then be designed in the CDP, which ultimately maps the 360-degree profile of the individual customers.
After defining the customer schema, the next step is to integrate the consent and subscription categories. These determine which data may be used for the creation of personalized content. However, since personal data may not be used for marketing purposes without consent, special care must be taken with regard to the CDP’s consent management.
The responsible developers carry out the technical integration of the different source systems. This should begin promptly, which is why the respective endpoints and access data must be provided. During this step, it is important to ensure that the rights assigned within the CDP are precisely defined and that login data cannot be misused for exports or incorrect changes.
In addition, there is the configuration of the various interfaces. Most CDP systems already come with a wide range of standard integrations, such as e-mail, WhatsApp or social media.
Further software tools can be flexibly configured via webhooks. Most CDPs usually also provide very precise step-by-step instructions for their configuration process.
The following basic configurations are crucial as well:
Once the basic configuration of the CDP is complete, the data repository can be created in the next stage of the project.
Artificial Intelligence October 16, 2026
Autonomous Enterprise Journey: How AI value engineering creates measurable business value
How can the ROI of AI initiatives be reliably assessed and measured? How can companies identify the biggest levers and key processes for AI? Katrin Luft, Senior Expert at valantic and co-developer of the “Autonomous Enterprise Journey,” provides answers and recommendations in a conversation with Darya Basarhina, Vice President of Sales & Marketing and Manufacturing Practice Lead at valantic.
Autonomous Enterprise Journey: How AI value engineering creates measurable business value
Customer Experience October 8, 2026
Interview: From PIM to Data Spine – How companies prepare their data for AI
AI is changing the requirements for data, governance, and processes. Where should companies start, and what skills do they need? In this interview, Dietmar Rietsch, CEO of Pimcore, and Timo Huguet of valantic discuss the importance of clean data, the concept of the “Data Spine,” and the changing role of humans in the age of agentic AI.
Interview: From PIM to Data Spine – How companies prepare their data for AI
Customer Experience September 18, 2026
From webshop to virtual try-on: how AI is making its way into retail stores
Digital interfaces such as smart mirrors turn AI in the store into a tangible business case. What potential does this hold for the customer experience and in-store personalization? Matthias Vollmer explains how the retail industry can combine the best of both worlds and turn physical touchpoints into an intelligent part of the omnichannel journey.
From webshop to virtual try-on: how AI is making its way into retail storesDon't miss a thing.
Subscribe to our latest blog articles.