Mailing Optimization
The shipment of mails and catalogues is every-day business of mail-order companies. A correct analysis of the customer data in the run-up of such actions is quite important but requires the following questions to be answered by the company:
To which customer I should send the new catalogue? How many customers and who exactly I should contact?
Which mailing is unprofitable because the target person will not respond anyway?
Mailing optimization is the key to these problems and especially in the hard-fought mail-order business it is essential today.
Often, experiences or even feelings as well as simple customer-value models are applied for mailing selections. However, mayor mail-order companies like Quelle, Otto, or Neckermann are successfully using mathematical statistical methods (Data Mining) for decades in order to calculate the response probabilities of their customers.
Mailing optimization with Data Mining means:
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The response probability is calculated for each customer by means of Data Mining.
The methods used here achieve the best possible prognoses which can be obtained for the customers from the underlying data.
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On this basis, the mailing selection is optimised such that e.g. the most prospective customers are addressed.
The company may also optimise the ROI and only address the customers with a positive amount of coverage.
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Moreover, prudsys with its long record in the retail area offers further services: we further optimise accomplished selections by identifying e.g. 20% of the customers, who haven’t bought products from the mailing action. For the retailer this means: 20% less mailing expenses and thus a duplication of the profit resulting from the mailing!
All this success results from the application of sophisticated Data Mining and Analysis software of the prudsys AG, which is combined in the  prudsys EXPERT MINING SUITE:
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The prudsys PREMINER helps the operating department to pre-process the data for a successfully application of Data Mining methods.
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The MERKUR MINER PLUS is a tool for presenting customer data and the evaluation of mailings.
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The prudsys DISCOVERER with its patented algorithms (Non-linear Decision Trees) is the guarantor for optimal prognoses and thus for a
maximization of profit of the mailing campaigns.
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The prudsys BASKET ANALYZER completes the Suite; it executes basket analyses and delivers a complete picture of the purchase
behaviour of the customers.
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Products:
prudsys EXPERT MINING SUITE
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