Business Intelligence (BI)

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Business Intelligence (BI)

GSS has a specialized unit for the optimization of data bases with the objective of learning about the behaviour of customers, in order to improve sales.


LEARN ABOUT YOUR CUSTOMERS' BEHAVIOR AND ANTICIPATE THEIR PROBABILITIES TO PURCHASE!

  

  • PREDICTIVE MODELS boton_flecha

  • ANALYSIS OF PERFORMANCE IN DIFFERENT TIME SLOTS boton_flecha

  • ANALYSIS PER AGENT boton_flecha

  • ANALYSIS OF PROFITABILITY PER REGISTRY boton_flecha

  • ANALYSIS OF PROFITABILITY PER PRODUCT- CLIENT boton_flecha

  • ANALYSIS OF PROFITABILITY OF DUPLICATED REGISTRIES Flecha

  • ANALYSIS OF PROFILE DOES NOT COOPERATE/NOT RELEVANT boton_flecha

 

Customer_Intelligence

 

 

 

                 Contact

 

 

 

 Predictive models:

 Exploitation of data bases through the classification of customers to maximize the sales/ success ratios. In other words, we identify the patterns of behavior of a data base, according to the percentage of success of each customer.

             

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Analysis of performance in different time slots:

This analysis allows to break down the campaign per time slot and day of the week as per higher or lower sales ratios. 

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Analysis per agent:

We identify agents as per their success ratios and volume of registries managed. We can establish two types of complementary analysis:

  • PER CLIENT PROFILE: Behavior of the optimal groups of agents according to the behavior patterns of the data bases.
  • PER TIME SLOT: Behavior of the optimal groups of agents according to the optimal time slots identified in the campaign.

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Analysis of profitability per registry

Identification of the number of call when the registry stops being profitable for the campaign.

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Analysis of profitability per product- client

This analysis is used for campaigns consisting of a single product but with different sales options. We identify the most adequate product for each client.

 

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Analysis of profitability of duplicated registries

This is the analysis of those registries marked as duplicated in the data base, establishing a separate behavior pattern.

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Analysis of profile does not cooperate/ not relevant

Identification of the client profile which does not cooperate, or is not relevant for the service.

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