The competition for the increase in the clients’ loyalty in the telecom area is increasingly strong, and the anticipation of the most suitable offer based the acquisition history and on the users’ behaviour is critical for the success of a client loyalty programme. Furthermore, the optimization of the transactional messages may play a critical role in the improvement of the financial results.
 
Characteristics
 
- the integration data from various sources and tracking the source of every entry made in the database helps you differentiate clients who are merely looking for information from clients who are prepared to purchase
- the monitoring of the acquisition history and of the actions allows you to identify which customers bring the highest profit and also to follow the history of their interests in time, in terms of products they have purchased, or of brochures they have downloaded.
- modelling the database using the RFM analysis in order to analyse the evolution of the most profitable groups of customers
- advanced segmentation based on the acquisition history, as well as on the demographic data, and on the interaction with the previous messages, in order to increase the degree of relevance
- dynamic content, so that you can make sure that each person receives both customized messages, as well as message which contain the most suitable offers  
- generating promotional codes in order to make sure that your most important customers benefit from preferential prices and in order to be able to expand the tracking of a certain promotion beyond the online level, on the offline one
-creating customized landing pages with the purpose of increasing acquisition and conversion rates  
- cross-selling possibilities based on the data related to the acquisition history, and on the interaction between the company and each person
- generating proforma invoices and transactional messages
- integrating all the messages with social media and providing for the ability to identify and target users who share the content and the offers in social media