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A COMPLEMENTARY TOOL TO CLASSIC WEB ANALYTICS SOFTWARES
This software is especially compatible with Google Analytics. The classic Web Analytics tools attribute the deal only at the website which generated the last click. However, a net surfer goes five times on the same website before buying anything.
Given that Mazeberry studies all the channels which have a part in the traffic and in the sales of the merchant websites, Mazeberry provides a more realistic picture of the real achievement of online campaigns.
Mazeberry Express provides six attribution models to distribute the weight of several channels. These models determine the level of contribution of a channel to the achievement of a specific target.

INTEGRATION OF COST DATA
This is specific to Mazeberry Express because no other classic tool offers this service in a such simple way. Any user can enter his expenses for each channel without the need for an API connection.
According to the various attribution models, the platform immediately generates statistical reports. These reports are gathered in a dashboard which details the return on invest and the cost per acquisition for each channel through five areas: attribution, contribution, presence, segmentation, finance.
Thanks to this tool, the marketer is able to adapt his customer acquisition strategy depending on the evolution of these criterions.

THE GENERATION OF RETROSPECTIVE STUDIES
Mazeberry is able to analyze at any time data collected since the first January of 2011.
Mazeberry Express is very flexible: it adapts itself to needs and specificities of firms to optimize as far as possible their online campaigns.
Marketers can know the state of each channel and their evolution over time. Consequently, they are able to identify the general trend and to establish a consistent plan for decision-making around their issues.
Fast, simple and comprehensive, Mazeberry Express makes easier and better the cost control of online campaigns. It is a useful tool to draw up web marketing campaigns balance sheets.

Published on: 3:54PM on 25th June 2012