Streamline your data management process with the Salesflare + MySQL 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.

MySQL is an open source relational database management system based on Structured Query Language (SQL). MySQL runs on virtually all platforms, including Linux, UNIX, and Windows. Although it can be used in a wide range of applications, MySQL is most often associated with web-based applications and online publishing. Like almost all other database systems on the market, MySQL is a relational database system.

(MySQL Support) MySQL offers a full range of support options for your specific needs. In addition, technical support is designed to save you time and to ensure you achieve the highest levels of performance, reliability and availability in the shortest possible time.

MySQL supports as its database language SQL. This is a standardized language for querying and updating data and for the administration of a database. Full-text search simplifies and accelerates the search for words that are located within a text field. If you employ MySQL for storing text, you can use full text search to implement simply an efficient search function.