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Customer Data Platform

Customer Data Platform,

the potting soil for your customer loyalty

A 360° of each customer

By consolidating and unifying all the data sources associated with contacts

An ultra-personalized user experience

Thanks to a real-time updating of customer’s information and the automation of communications

The accessibility and democratization of data

Available for the entire company: decision-makers, support, finance, production, CRM …

What is a

Customer Data Platform ?

The Customer Data Platform (CDP) is a database that brings together and structures all the interactions that a customer may have had with a brand. It provides a consolidated 360 ° vision of the typologies and behaviors of each customer.

Le terreau du CRM

The CDP's stakes

by business sector

Data sources in the E-commerce sector are often numerous. Partnerships with many digital players which makes it possible to improve customer experience and involves collecting information that is stored with each of the partners


Some examples :


  • Customer reviews
  • Recommendation of external products
  • Scoring
  • CMS
  • Campaign implementers
  • A/B testing
  • Customer services


1BY1’s First Party Cookies add to these dimensions the possibility of authenticating the journey of your customers on your website by name.

By crossing this data, you will have the opportunity to give your contacts a unique experience based on their behavior.

Today, it is essential for retailers to work on the cross-channel vision of their customer loyalty by working on big data.

Customers have changed their expectations and want to benefit from the best of the store and the web: getting information online (46%), continuing to buy in-store (62%) to reinsure themselves and benefit from sales advice (20%).


All the channels become complementary and centralizing the data collected for each channel becomes essential to meet the specific expectations of each customer.

Here are some examples of data sources useful for retailers :


  • Data is associated with the receipt
  • Logistics data related to products
  • Data related to stock or transport
  • Data related to digital traffic
  • Data related to the loyalty program
  • Data related to customer reviews
  • Declarative contact informations


The main goal for retailers is to be able to capitalize on this informations in order to improve sales forecasting, optimize the accuracy of customer stimuli in CRM and develop an enriched and personalized customer relationship.


With the competition from GAFA, brands are aware of the importance of data in their business … but do not really know how to go about it.

In the tourism sector, the collection and centralization of data are essential to provide travelers with an experience that meets their expectations.

Centralized data will make it possible to work on both commercial and, above all, service-based communications, which will greatly promote travel comfort and therefore its positive image.


Thus, centralize data relating to:

  • His journey
  • His accommodation
  • His activities
  • His destination
  • The length of his stay
  • The period of his stay
  • Customers reviews
  • The source of his purchase
  • Etc.


This will allow you to give him the information relating to his travels which will facilitate his logistics and also to offer him the stays most suited to his desires and travel habits.

The specificity of charity is that it has data that is generally scattered.

The sources of collections are very varied:


  • street marketing,
  • patronage,
  • the web site,
  • fundraising by phone,
  • by text message
  • par mail


The data is often dispersed in several datamarts and rarely standardized to be able to be used cross-wise.

To be activated, it is often necessary, in charity, to clean up the data via Dataquality in order to have a clear and secure view of donors, supporters, sponsors or volunteers.

This vision facilitates the creation of communications tailored to the different profiles and their contribution to the project.

Some stats

concerning the use of consumer data
of organizations are aware of misusing their consumer data
of marketers find it difficult to combine online and offline data
of companies are not interested in socio-demographic or behavioral data
of marketers only have data from a few of their channels