In a present in which digital customers are more aware of the use of their data and the future is cookieless and without the possibility of targeting with third-party data, it is important to evolve towards a model in which the users themselves provide the information . CDPs an essential information to companies. And, in that future, Customer Data Platforms (CDP) will play a fundamental role for the Mark Tech ecosystem of any company, in which Marketing has been getting closer to IT and has been integrating increasingly advanced technological profiles and tools. But, after having internalized CSM, CRM or DSP.
Customer Data Platforms
CDPs are data platforms that collect all the information available about a user from different sources, eliminating duplications and what is not top industry data relevant to the company, creating a unique profile of each consumer that is also accessible to other systems. In this way, it is the best system to know the customer and their journey from the moment they discover the brand until they convert and, if everything goes well, they repeat.Currently and compared to last year, marketing professionals collect 25% more information from their customers , according to data from one of the most important technology companies in the world. This, together with the difficulty of extracting quality insights from large volumes of information.
Segment survey in the United States
In this sense, the digital market understands the importance of knowing the consumer, at least that is what another assures, according to China Phone Numbers which 47% of 4,684 data managers questioned will increase their budget allocated to Customer by more than 25%. Data Platforms in the next five years. Which tells us that CDPs will continue to play a key role in future marketing by being a strategic tool for managing data. In the case of MioGroup, through artyco, one of the group’s companies, the CDP concept has been worked on for more than a decade, especially with clients in the automotive sector. Specifically, they allow a broader vision of the data while specifying and individualizing it, segmenting profiles according to customer needs and facilitating the internal and external enrichment of said data.
