User clusters: revealing key client groups
The analysis helps reveal the most significant groups of e-mail receivers in terms of their actions and preferences. Can be used as the first step toward creation of personalized emails.
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How to increase efficiency of specific message type
Analysis on how to achieve the maximum conversion of the specific message type (e.g. seasonal promotions). The research is based on performance of previously send messages of such type. Elaborating on different types of clients interaction with various types of messages. The decision tree revealed conditions when special offers are more and less interesting to the clients of the apparel shop. The recommendations on the optimal design of the special offer campaigns were given.
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Optimization of the product mix
The sample analysis helps reveal why some products in the emails are more popular than the others and how to maximize attractiveness of product offering in the email
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How to promote specific products
The analysis helps find ways how to promote specific product or groups of products as effectively as possible.
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Increasing click-per-open rate
The presentation demonstrates analytical method on how to find reasons behind low click-per-open rate for emails and ways to improve it.
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Benchmarking for email communication (in Russian)
Presentation on how to compare performance of your email communication with other companies and find key areas for improvement.
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