Sunday, 24 September 2017

How to Optimize the Business’ Sales Analytics Capability

How to Optimize the Business’ Sales Analytics Capability

VISITJOGJA.NET - Sales analytics may solve any problem related to sales, however, it does not come without its own challenge. Has long been touted as the excellent option to help businesses assess their previous sales while at the same time help them predict the future trend of their own sales, analytics comes with a glaring issue that is often overlooked by many: the difficulty of achieving the proper balance of performance. With a data that is too broad, sales analytics can help sales manager to plan the bigger picture – but lacking in necessary details. Too specific, only particular sales team-members get the benefit while other that do not oversee that part of sales may be confused. So how can your sales team eliminate this issue?

Gather the right data together

With many available applications, you and your team members can easily record every single transaction and activity – however, at the end, the most important thing to do is looking at the whole process of sales as opposed to particular specific data. Knowing the revenue and marketing engagement can help your business see the success rate of interest-to-sales conversion. With this, your sales team can see where sales leads have been created and how many of them can be followed through in the future.

Align the right data across the business’ departments

Now that you and your sales team members are fully-aware of what is working and what is not, as well as the successful conversion rate and available customer acquisition leads; it is time for you to check on every department as each of them has its own target. Knowing their targets will help optimize the overall metric at hand – which practically means sales manager will be able to make a strategic decision as to which marketing campaigns, cashless payment, and sales analytics based approaches can generate more sales as well as generate more profits in the upcoming cycle.



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