OUR REFERENCES

CLIENT SEGMENTATION

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Advanced analytics solution with the objective of analyzing different customer segments based on their entertainment tastes to establish the targets with the greatest business potential. It will be possible to conceptually design a customer segmentation based on the entertainment tastes, create an analytical segmentation that responds to said design, quantify the value of each customer segment.

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How does it work?

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Advanced analytical solution developed through mathematical models where customers will be segmented depending on their tastes and preferences in order to optimize the overall commercial strategy.

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Some Benefits

• Make a better segmentation of your customers, Identify tastes and preferences of each client

• Analyze the main causes of risk

• Increase the number of clients Improvement in the value of the brand

• Make a marketing campaign more focused on customers

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CONTENT OPTIMIZER

Manage prioritize content according to the tastes and preferences of its customers.

The ability to be able to prioritize the content according to a segmentation to achieve an impact on the rating increase, have great value.

This solution helps to prioritize the content according to the different sources needed: objective data, objective data with experience, subjective data, data rating.

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Some Benefits:

• Increase the rating level in content.

• Segment content by times with greater audience.

• Have visualization by business areas on control boards.

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CUSTOMER CHURN

Advanced analytics solution that will decrease the client abandonment rate using artificial intelligence.  

From the integration of information from different sources we create a unique profile per client based on which it is possible to generate artificial intelligence models that calculate the probability of abandonment of a client at a specific time.

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Some Benefits:

• Integrates historical customer information

• Segment your customers, creating a program to have a greater approach

• Know the tastes and preferences of your customers

• Identify individual risk factors for abandonment

• Decrease your abandonment rate

• Define the type of customers based on life cycle

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