prudsys RDE Modules

Business Cases

Applications for this module:

E-mail personalising
Mailing optimisation

Licence

RDE | Newsletter module available as:

  • In-house server version
  • Hosted server version
  • OEM version

Overview licence models
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RDE | Newsletter

prudsys RDE | Newsletter

prudsys > prudsys RDE > RDE | Newsletter

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prudsys RDE|Newsletter - generates a newsletter with personalised content for each recipient

The RDE | Newsletter module automatically generates a newsletter with personalised content for each recipient (e.g. with product recommendations, personalised content, etc.). Base for these recommendations are surfing and purchasing behavior in the online shop, information about historic shopping baskets and the clicking pattern in the electronic newsletter.

Your benefit: High newsletter click-through rates, relevant recommendations and increased turnover

Business scenarios

The prudsys RDE | Newsletter module enables a personalised approach with each individual customer without the need for manual intervention. To this end, both profile information and historical transaction data are analysed. If this information is not available, the system switches to top seller mode, which is continuously optimised in real-time based on the customer's reaction. So you can reduce cancellation rates, increase subscriptions and improve purchase conversion. The RDE | Newsletter module can also be used to determine personal content for conventional mailings in paper format.

How it works

The RDE | Newsletter module contains all the functions needed to display personalised recommendations and content as an electronic newsletter and as a print mailing. The personalised recommendations are created using the same methods as the RDE | Recommendations module, i.e. by the evaluation of historic transaction data and by real-time learning.
When the receiver opens the newsletter, the personalised newsletter content is displayed dynamically and in real-time.
The use of intelligent newsletter templates means that you can continue to use your existing mailing system and processes.

Advantages

  • Recommendations from real-time learning of user behavior
  • Optimum use of cross- and up-selling potential
  • Takes into account shelf availability
  • Use of existing mailing system and processes
  • Fully automatic 'Install-and-Forget' procedure

Key features prudsys RDE | Newsletter

Applied algorithms:       
Number of algorithms 34, e.g.

  • Shopping basket analysis cs cf. Amazon Item2Item Collaborative Filtering
  • Sequence analysis
  • Sequential shopping basket analysis
  • Reinforcement learning

 
Integrated performance measurement:

  • Supports A/B testing and multivariate tests
  • Any number of possible control groups
  • 23 statistical parameters (e.g. clicks, conversion rate, total sales, turnover through recommendations)

Output channels:

  • Electronic newsletter
  • Print mailings

 

Applications:

  • Product recommendations
  • Content recommendations
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