1. Opportunities identification
Monitoring the life cycle of each client and identifying growth points that can boost the sale of goods and services. By shaping detailed customer segments and considering customer behavior patterns, companies can determine when personalization is most effective.
2. Rapid activation
The growth in the volume of data requires the use of modern machine learning technologies for quick multi-channel decision-making. For example, companies use predictive analytics to determine what content and messages are best to send to which customers.
3. Agile operating model
Application of testing and training mechanisms for talents with the ability to provide multi-channel communication with the client (via digital or physical support channels)
4. Capability building
Investing in talents and training. Focusing on the skills needed to support and manage personalization (quick thinking, e-commerce, advanced analytics, product and performance management). The development of internal competencies of teams allows to quickly implement and develop personalization methods.
Creation of partner networks that allow customers to get the maximum number of points of interaction with goods and services.
Megainsight - AI Platform for personalized promo and marketing automation
to be competitive and farseeing