Streamline your data management process with the Adobe Campaign + PostgreSQL integration

Adobe Campaign is a marketing automation tool designed to help you create more personalized customers journeys and distribute your campaigns through multiple marketing channels. Adobe Campaign enables you to simplify and manage your campaigns, by keeping under control your marketing performances from just one platform.

With Adobe Campaign, you can easily create and send customized emails for your leads and increase the conversion rates of your campaigns thanks to the automation rules. One of the most important features of Adobe-campaign platform, is the one that allows you to manage your customers informations. The home page of Adobe-campaign, in fact, provides you to easily access to the “integrated customer profile”, a tool that gives you a single marketing view of your customer.

Thanks to this tool, you’ll be able to identify the buyer persona, leveraging the information you have about online and offline behaviors, purchases and much more. Then, with Adobe campaign you can implement many different email marketing strategies, from classic drip email sequences to dynamic campaigns.

PostgreSQL is an open-source, object-relational database management system (ORDBMS) that is not owned or controlled by one company or individual. Because PostgreSQL software is open-source, it is managed mostly through a coordinated online effort by an active global community of developers, enthusiasts, and other volunteers.

An enterprise class database, PostgreSQL boasts sophisticated features such as Multi-Version Concurrency Control (MVCC), point in time recovery, tablespaces, asynchronous replication, nested transactions (savepoints), online/hot backups, a sophisticated query planner/optimizer, and write ahead logging for fault tolerance.

PostgreSQL supports international character sets, multibyte character encodings, Unicode, and it is locale-aware for sorting, case-sensitivity, and formatting. It is highly scalable both in the sheer quantity of data it can manage and in the number of concurrent users it can accommodate. There are active PostgreSQL instances in production environments that manage many terabytes of data, as well as clusters managing petabytes