Sales efficiency and productivity improvement

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Benefits of Introducing SFA
SFA meaning and benefits

From here, we will introduce the benefits of introducing SFA.

Sales efficiency and productivity improvement
Data-driven decision making
Increase customer satisfaction
By introducing SFA, you can expect to improve sales efficiency and productivity
. SFA can automate and run tasks that can be made into templates, which in itself allows you to use your time more efficiently.
In addition, it is equipped with a function to understand the customer's status, making it easy to determine what actions will interest customers.

By utilizing SFA, you can fully "visualize" your sales activities, and you can create a more evidence-based strategy compared to traditional sales methods.
It also has a function for sharing data in real time, which prevents greece mobile database information discrepancies between staff members.

SFA, which allows sales activities to be "visualized," is essential for improving sales efficiency in order to encourage potential customers to step up and become existing customers.

Data-driven decision making
SFA supports data-based decision-making
. Salespeople who rely on intuition have difficulty responding to changes in customer needs due to changes in the times.
In addition, salespeople who rely on intuition depend on the way the salesperson thinks, and there is a high possibility that the sales method will change when the salesperson is replaced due to personnel transfers.

However, because the data reflects customer opinions, it is possible to determine exactly what the customer wants. Not only
that, but the method of processing the data basically remains the same, so sales activities based on the same logic can be reproduced regardless of who the sales representative is.
If sales activities can be standardized, it will also be easier to share know-how with new personnel.

If you have been relying on intuition in your sales methods up until now, use the introduction of SFA as an opportunity to change to a data-based decision-making method.