Customer Analytics in SPSS

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Customer Analytics in SPSS

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Customer Analytics in SPSS

Customer Analytics in SPSS


Identify your best customers and increase response rates, customer loyalty and profits.
  • Perform RFM analyses (recency, frequency, monetary value)
  • Perform complex market segmentations using an advanced clustering method
  • Generate profiles of the customers who responded to the past offers
  • Identify the top responding geographical areas (postal codes)
  • Estimate the contact probability of purchase and select the contacts with the greatest probabilities
  • Predict the probability of purchase for new customers
  • Compare campaign effectiveness (in terms of response rate)
Learn how to get insights from your customer data, understand your customers deeply and target the right customers with the right products!

The SPSS program offers a comprehensive customer analytics tool – the Direct Marketing module. With this tool you can conduct powerful analyses without being an expert in statistics and data analysis.

The everyday interactions with your customer generates a high amount of valuable data. The customer marketing analysis is the best solution to transform these data into real knowledge. 
The goal of this analysis is to get you a precise view of your customers, identify the most profitable groups of customers and send them the most appropriate marketing messages.

Most of the procedures above use sophisticated statistical analysis techniques to process your data. However, you don’t have to be a statistician in order to use them. You can get the results you need with a few clicks only, in a few seconds. 

Customer Analytics in SPSS
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Santosh Kumar
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