In the campaign automation stage, the following actions were performed:
- Data model and database cleansing: Data structuring was carried out, which allowed for database cleansing in order to automate and personalize communications.
- Eloqua Optimizations: The data model was integrated into the tool, using dynamic segments and complex flows that allow for repeated communications. This enabled the automation of BAU (business as usual) campaigns that were repeated monthly.
- SMS and WhatsApp Connector: A connector was developed that automates the sending of communications via SMS and WhatsApp, enabling omnichannel decision-making within the same tool.
And in the message personalization stage, the following actions were carried out:
- Engage - Sender Personalization: A tool was implemented that allows email sender personalization, associating it with each executive, making communications more natural.
- Segmentation: Both offline and online data were leveraged to perform more targeted segmentation, allowing for communications tailored to customers' interests and behaviors. For example, customers products were identified and targeted communications were sent based on that.
- Customer Journey: Campaigns were implemented targeting contacts at different stages of the customer purchase cycle, focusing on offering additional value in each interaction and thus reducing sales communications.
Furthermore, this optimization has improved the customer experience and facilitated more efficient management of Telecom’s internal communications.







