Customer loyalty through direct marketing

Build long-term customer loyalty with personalised, added value marketing campaigns.

Turning a visitor into a long-term loyal customer requires a variety of marketing measures. All of these measures have one thing in common: Their success largely depends on the personalised added value they can create for the customer. Another key success factor is an approach to the customer which is as personalised as possible.

prudsys AG has the expertise, experience and technology to help you introduce and optimise the following customer loyalty measures:

Couponing

Coupons are an effective tool for stimulating customers to come back and buy again. To do this prudsys AG offers a variety of analytical tools and algorithms such as shopping basket analyses, reinforcement learning and Bayesian networks. The system will produce personalised coupons based on buying behavior and other profile data of the individual recipients. This significantly increases cashing-in rates.

Customer loyalty cards

Customer cards build loyalty through actions such as personalised discounts. However, they are only truly effective when they intelligently use all the information gathered about the holder's purchasing behavior. This data can be used for reporting about buying habits but at the same time is ideal for personalising operations across all distribution channels.

prudsys AG can assist you in the introduction, evaluation and use of customer cards. From the design of the data model and data management through continuous reporting and right on through to data analysis and processing for subsequent marketing initiatives.

Here we strictly adhere to data protection directives. The hardware necessary can be provided by our partner companies.

Transaction documents and mailings

Transaction documents such as invoices and order confirmations are much more frequently and closely read than straightforward marketing mails and consequently offer much potential for the unobtrusive promotion of product and service recommendations. In order to offer the customer real added value these recommendations must be based as far as possible on the customer's buying behavior and interests.

prudsys AG has the technology to analyse the available customer profile data (e.g. buying history, age, gender) and then personalise promotions in transaction documents and other mailings accordingly.

All personalisation entries can be based on historic off-line data. Thanks to the learning function online data can be added to this. The real-time analysis of available online data and customer reactions ensures that the personalised approach is kept up to date and immediately takes into account any changes in customer behavior caused, for example, by factors such as changes in the weather.

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