Value for our clients

For years, companies have collected and managed their data without knowing how to use it to their full advantage. Using collected data and implementing a data-driven approach will guide strategic decisions able to generate a concrete and sustainable edge in the market over time.
Value for our clients

Challenges

The obstacles to be overcome by companies to speed up business dynamics and compete on the market.


How to manage the mix of skills required for data-driven projects?

The successful key of an innovative data-driven project is to adopt the right technology and approach data science pragmatically within business processes and IT compliance requirements.

How to maximize data-driven projects potential?

The integration of data into business processes is the key to a successful data-driven approach.

It is necessary to provide end-to-end solutions capable of designing innovative use cases and approach them with a data-driven perspective, always focusing on measurable results.

Where to find data sources that improve business models and make them non-replicable by others?

Internal data sources are often insufficient for shaping the subject of interest.  It is necessary to identify and provide hundreds of useful information, both using our own data sources and building them from scratch for the specific business case.

How companies can develop a real data-driven approach?

Many companies believe that hiring data scientists is the right way to get the benefits from a data-driven approach. However, data science is a cultural process, which must be carefully managed so that it can flourish and be beneficial.

Know your customers


  • What is the spending power that your B2C and B2B customers have to buy your products and services?

  • How much do they use eCommerce?

  • Where do they live?

  • Where do they work?

  • What do they see during the day?



Know a place’s potential


  • What kind of people live near your stores?

  • Which of those people pass by your store during the day?

  • What is your local competition?


Know the events that impact you


  • What kind of events are happening around your stores?

  • Which external events have an impact on your brand?

  • How do you collect information about them in a systematic and continuous way?


Understand opinions on social media


  • What do your customers say about you?

  • Of those who have yet to make a purchase, what do you think of your brand?

  • What do customers who have yet to make a purchase think of your brand?

  • What does the press think about your brand?


Understand unknown navigators


  • How do I understand my website’s top-of-funnel?

  • What’s behind the anonymous cookies that go through my website?

  • What interests do they have outside of my offer?


Understand your products & services better


  • Which of your product and service attributes are characterized by the market?

  • What kind of metadata can I create so that I can link distinct products together that I currently treat as different?


Interest & Habits Detection

Our algorithms allow our clients to understand the customers hobbies and interests based on what they read online, how they respond to marketing ads, or what they do during the day, etc…


 


Intent detection

Our algorithms are able to combine web browsing data, personal data, behavioral data and observe competitors in order to anticipate customers’ future actions so businesses can make the right choices.


Omnichannel Customer Journey Detection

Our algorithms recreate the customer journey of your clients by clustering each person’s behaviors and reactions to marketing stimuli.


Image & Text Emotional Impact Prediction

Our algorithms are able to translate a company’s online images and text into emotions and quantitative parameters, and predict the impact certain types of branding messages and words have on individual customers.


Virality prediction

Our models can analyze the impact of a social event, predicting its geographic extension or its influence diffusion over social networks through the weak ties that unite customers.


Perfect Match Prediction

Our algorithms are able to generate a perfect match between B2B/B2C customers and the many features of a business. They can determine which agent is the best to interact with a specific customer, which is the best contact method for them, or which service is suited for his or her needs.


Areas of application

Customer Qualification

With our assets and our analysis techniques, we are able to qualify leads, prospects and customers when it comes to how people behave towards a brand or company and how a business can influence and guide those behaviors.


Competitive Intelligence

Because of our assets, platforms and collaborations, we are able to monitor our client’s competitor’s actions. By using practical tools and analysis to understand a brand’s actual positioning, companies can make clear choices on how to reposition themselves on the market.


Marketing Optimization

With our algorithms, we are capable of understanding how much individual customers are receptive to specific marketing activities, developing omni-channel attribution models for campaigns, and being punctual so that the base customer’s spending increases, and customer churns are limited.


Channel Optimization

With our assets and algorithms, we are able to understand which sales channels are the best for motivating customers (for example, eCommerce vs. Retail), understand the reason behind their choices and combine the information with returns and business costs.


Operation Optimization

Our algorithms provide us with information that gives us useful insights able to optimize the proposition and sales phases, which allows us to develop distribution and replenishment strategies for each specific case.