The best practice for sales analytics is to closely tie all activities together to determine revenue outcomes and set objectives for your sales team. A common example of a sales analytics activity is setting role-specific objectives in the form of KPIs or metrics. For instance, this could be establishing a revenue target for your sales director while setting a sales productivity goal for your account management team. Our process to examine sales data is as follows. We:

  • Gather data from different pipelines and sources such as application transactions, surveys, and internal applications.
  • Analyze the information to find relationships and undiscovered opportunities.
  • Forecast future sales using the results we found.

The best practice for sales analytics is to closely tie all activities together to determine revenue outcomes and set objectives for your sales team. A common example of a sales analytics activity is setting role-specific objectives in the form of KPIs or metrics. For instance, this could be establishing a revenue target for your sales director while setting a sales productivity goal for your account management team. Our process to examine sales data is as follows. We:

  • Gather data from different pipelines and sources such as application transactions, surveys, and internal applications.
  • Analyze the information to find relationships and undiscovered opportunities.
  • Forecast future sales using the results we found.

Are you ready to embrace data-driven transformation to gain insight, make decisions and predict future outcomes? Do you want to connect and transform your data into revenue?

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