Dynamic Segmentation of the Airline Customers Using Unstructured Data Arrays

  • ~ 300 variables for more than 60 million customers
  • The first implementation of a project of this type in an airline
Динамическая сегментация клиентов авиакомпании

Project Prerequisites

In order to increase the efficiency of marketing campaigns of the marketing department we had to gather and process large data volumes on our customers from various sources and perform dynamic customer segmentation to create customized proposals.

Project Purposes

Creating customer profiles based on information obtained, in order to customize commercial proposals
Dynamic segmentation of customer profiles with launching of advertising campaigns for the ready segments
Involvement of communication channels for advertising: e-mail newsletters, banners in customer accounts, SMS and push notifications

Solution Uniqueness

  • Applying the Machine Learning model for preprocessing and consolidating individual customer records into a single customer profile with 99% accuracy
  • Creating a structured dataset with ~ 300 variables for more than 60 million customers

Creating a uniform database from non-coordinated sources of passenger information:

  • Flight and passenger data from systems of booking and reserving air tickets
  • Data of airline’s website visitors
  • Offline customer data
  • Data storage in several unrelated databases

Customer Value

  • Forecasting possible customer activity based on historical data and well-timed proposal of new services to this customer
  • Automatic update of information from all trips in customer profiles
  • Personalization of the mailing system. Abandoning bulk mailings in favor of customer segmentation and development of individual commercial proposals

Get a preliminary calculation and estimate of the project

Please submit a request and our expert will contact you to find out the details.