Without a doubt, the current environment is extremely challenging for sales teams in every industry and region.  Enabling them to react quickly to changing sales conditions could literally mean the difference between overachieving the quota or failure.

Knowing exactly what is happening in your sales pipeline and being able to respond quickly to changes as they appear is critical for every business. But how can you
keep your sales team focused on the right deals when the amount of pipeline data in the customer relationship management system (CRM) is expanding
exponentially and new sources of data are being collected all the time?

Can organisations unlock the potential of their large volume of sales data to

  • Instantly analyse vast amounts of sales pipeline data at any level of granularity?
  • Identify and respond to pipeline issues in a timely manner?
  • Access complete and up-to-date sales pipeline data on any device?


With fraXses, sales departments can get real-time insight into both the massive volumes of pipeline data in CRM and the huge variety of data from external sources while performing on the fly calculations and in-depth analysis on any business dimension.   Sales managers can now leverage the power of fraXses working seamlessly with your Customer Relationship Management (CRM) solution for complete and instant visibility of accurate and consolidated pipeline data.  You can react more quickly to changing sales conditions with real-time information, and accelerate deals through the pipeline with powerful and user-driven analytics.  As a result, best-run businesses can unlock hidden revenue opportunities as well as significantly increase profits and sales effectiveness.


fraXses provides real-time visibility into the sales pipeline to:

  • Unlock hidden revenue opportunities with profound insights into large volumes and wide variety of sales-related data
  • React quickly to changing sales conditions with real-time information
  • Accelerate deals through the pipeline with fast and flexible sales analysis