Sales Intelligence Service


Sales Intelligence

Sales Intelligence or SI is the collection of methods and technologies to collect and analyze information to help a company to increase sales. Data is gathered about competition, sales prospects, and products from across the web, social media & other news sources




Sales Intelligence Meaning

Sales Intelligence denotes the available resources for research, collection, analysis, and implementation of information and insights, helping the salespeople to build a strong rapport with clients. With strong marketing and sales intelligence, you can be successful in the current business environment.
The web has become a huge resource to contact lead data and sales information. However, gathering and using information is a very difficult task, as it is normally accessible on thousands of sites. Before speaking to the clients, salespeople collect data about market information, contacts, as well as company news.
Selling is a complicated procedure and for controlling as well as driving it for success, you need a smarter approach and that’s where Sales Intelligence has a role to play. It offers predictive analytics and real-time insights to improve total sales performance. Some actionable intelligence will help your sales efforts as well as support your team for taking useful actions. Sales intelligence helps in making smarter decisions as it’s a more thoughtful and intelligent way of organizing your sales procedure.


Importance of Different Kinds of Data Collection : 

Data collection is an important aspect of the sales process. Data is gathered from different sources; few of them get acquired naturally as a part of interaction with the sales lead and the rest auxiliary data from the other sources associated with the leads – company, individuals, market, location, etc.
The principal channels for Sales include Inbound Sales Channel, Outbound Sales Channel, and Channel partners – VARs, etc. Ultimately, the data around a prospective customer is stored in a centralized system. The primary challenges are channels having their individual formats, data sources, as well as data quality issues.


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