Streamline your data management process with the ActiveDEMAND + PostgreSQL integration

ActiveDemand is a marketing automation tool that you can integrate with your CRM in order to align your sales and marketing activity. ActiveDemand allows businesses of any size to deliver their collected leads to CRMs, together with historical information and crucial data that sales teams can leverage to make more sales. With ActiveDemand you can segmentate your audience and identify the right strategies to convert a lead into customer.

Thanks to an easy and configurable lead scoring, ActiveDemand lets you and your team understand the quality of your leads, allowing you to make better decisions, timely. ActiveDemand’s features are designed to take care of your customers during the entire sales process, and more. Once the client has been acquired, you can send the info back to marketing and further nurture and engage him/her, in order to increase the customers lifetime value.

ActiveDemand provides a transparent and intuitive analysis tool, that gives you an overview on all your marketing activities. Thanks to this, you’ll be able to easily understand what marketing campaigns are working and what needs to be improved.

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