Data marketing agency


Data is an essential part of any digital strategy, forming the foundation of the decision-making process. The potential of data includes:   

  • Data correlating and linking information  
  • Identifying the preferences of customers and target audiences 
  • Understanding browsing behavior  
  • Facilitating sales and loyalty processes  
  • Optimizing digital platforms and campaigns 

At Eminence, we're aware of the growing importance of data, and we specialize in the collection, analysis and use of data to improve our customers' performance.

We are constantly at the forefront of the latest data analysis and processing technologies to drive your digital strategy. 

Our expertise in data collection, management and analysis

From Big Data to Smart Data, Eminence, your data consulting agency, can help you establish a complete omnichannel strategy based on data. As part of this strategy, we identify, select and convert raw data into marketing intelligence to better analyze the profiles of customers, visitors and the various audiences your brand seeks to reach. 

=> Our objective? To help you deliver relevant, personalized, and interactive marketing messages in real time. 

Data tracking 

Using analytical tools, we collect precise, concrete data on user behavior. This includes tracking a company's various digital channels: website, social networks, advertising interactions, etc. 

Data Analysis and Profiling

The primary objective of data analysis is to gain a better understanding of your audience by profiling them, understanding their behaviors, interests, obstacles and weaknesses, in order to make informed decisions to improve your digital strategy. 

Data and CRM 

We use the data we collect and the information derived from it for three main purposes. We use the data to understand the customer journey and identify potential areas for optimization; for targeting in digital campaigns; and for CRM and emailing campaigns to refine audience targeting. 

Why is it crucial to analyze your digital data? 

Gathering relevant information about customers and prospects has become an essential factor in driving growth, whether through acquiring new customers or retaining existing ones. 

This data can include user preferences, purchasing behavior and interactions with your company. Subsequently, it is necessary to segment customers on the basis of this data in order to propose personalized offers and improve the customer experience. Data can also be used to predict future customer behavior and adapt sales strategies accordingly. 

It is important to note that maintaining the confidentiality and security of customer data is key to retaining their trust and loyalty. 

You're unsure about managing your data or how to leverage it to increase your ROI, boost your performance, and enhance your customer experience?  

What are the four types of digital data analysis? 

There are four types of data analysis, all interconnected and dependent on each other: 

  • Descriptive analysis: What happened? 
  • Exploratory analysis, diagnostic: Why did it happen? 
  • Predictive analysis: What will be the consequences?  
  • Prescriptive analysis: How can we provoke or direct it? 
types of data analytics

The more difficult it is to collect data, the greater the added value and information extracted. 

Our Approach

Our data analysis method:  

Data is the driving force behind customer relationships, business strategies and all marketing projects. In our agency, our data analysis experts employ the following proven methods to gather data, extract relevant information, and then present it in the form of reports, dashboards, which we distribute to our clients along with our recommendations.  

How do we analyze "Big Data"? 

Data intelligence is a crucial step for advertisers when it comes to obtaining precise information about their consumers' profiles. 

Eminence, your Big Data agency, meticulously analyzes all the data collected to help you launch well-targeted marketing campaigns. 

Big Data allows real-time access to colossal databases and is often summarized by these "3Vs": 

  • Volume: this refers to the processing of the enormous volume of data (terabytes and petabytes) generated every second, from numerous and varied sources.  
  • Velocity: this corresponds to the speed of data analysis in real time (a fraction of a second), but also to the speed of data creation and the speed of data flow. 
  • Variety: : this is the analysis of heterogeneous data (all types of formats). This includes 
  • Structured (precise information located in a fixed field and in a predetermined format allowing machines to interpret and process them) 
  • Unstructured (all data that is not organized and cannot be easily interpreted) 
  • Semi-structured (unstructured but associated with certain information).  

To further detail the definition, the following "2Vs" can be added: 

  • Veracity: it's imperative that information is filtered, refined and consistent, in order to guarantee its quality, accuracy and therefore reliability.  
  • Value: a data point is only useful if it generates value, which is why our Big Data Analytics agency in Geneva helps you to exploit information to extract valuable insights and facilitate the identification of new opportunities. 

Big Data offers a real opportunity to gain insights into new types of data and content, enabling your business to become more agile. 

The tools and resources we use to collect and analyze your data

As an agency specializing in data, Eminence uses many digital tools, each one providing intriguing features to help improve your performance. Below are some examples of the types of tools we use: 

  • Google Analytics: The most well-known tool, providing data on user behavior. 
  • Adobe Analytics: An interesting competitor to Google Analytics. 
  • Matomo: This tool helps ensure ongoing GDPR compliance and provides abundant data on interactions, profiles, user journeys and experiences. 
  • Hotjar: A recent tool (2014), focused on user experience without collecting individual data. It also offers three valuable features: heatmap, feedback, and survey. 
  • Social dashboards: Meta/Facebook, Instagram, LinkedIn, etc. 
  • Specific tools: Semrush for understanding search intent, HubSpot for a B2B approach, etc. 

The data we collect can be a real treasure trove for brands, providing an in-depth analysis of your consumers, in particular their behavior and buying intentions. As a result, it can improve your return on investment (ROI). 

Our data marketing agency enables you to anticipate the needs of your customers and users, making sure you send the right message, at the right time, on the right platform. 

Considered the world's new "black gold" for brands, Big Data should be integrated into promotional strategies to improve targeting and relevance. The crucial step in this process is to identify the most suitable channels and scenarios within the customer journey for collecting, processing and, ultimately, using customer data.