Generate more leads with the Salesflare + PostgreSQL integration

Salesflare is a Customer Relationship Management platform specifically created for salesmen. Most CRMs require users to enter customer information into their system, which can be a very redundant and painstaking process that decrease the conversion rates of your funnel. Salesflare ditches that part and focuses on what salespeople do best: selling.

Salesflare doesn’t require leads and customers to input their data, such as emails, phone numbers, and address books, into the software. The platform in fact is built on top of salespeople’s existing data pools, which makes it easy to organize and manage the information you need to make a sale. The software automates the whole gathering and storing of customer information, reducing time spent on data entry up to 70%.

Salesflare gives your salespeople a huge boost in terms of productivity and effectiveness, helping them focusing on sales-related tasks instead of spending a significant amount of time on data entry. Thanks to the opportunity prioritizing feature, you and your sales team are always aware about that’s most important. With Salesflare, your time is spent on managing your customers, and not customer data.

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