SeeWhy Announces Version 3.4 to Drive Online 1-to-1 Marketing
SeeWhy Software has announced the immediate availability of SeeWhy 3.4. With this release, SeeWhy breaks new ground in online marketing by enabling companies in industries such as online financial services and retail to optimise individual customer treatment across channels, continuously and in real time, across entire customer populations.
Research by industry analyst firm JupiterResearch has demonstrated that quick actions based on online customer behaviour can generate 18 times more lift and 9 times more revenue than traditional batch-based segmentation techniques. SeeWhy allows companies to act directly on individual customer behaviour, needs and web site experience at the point when the customer is most engaged by analysing individual activity, rather than by using traditional coarse-grain segmentation methods. SeeWhy enables companies to focus on delivering tailored services or offers to high-value customers, while efficiently addressing the needs of lower frequency customers through lower cost channels.
New features in SeeWhy 3.4 include:
• Behavioural profiling extensions — Allow the continuous, real-time tracking of tens of millions of individual profiles. Reduced memory use and increased application performance allow SeeWhy to efficiently handle analysis of the behaviour of millions of customers. SeeWhy uses advanced statistical techniques to provide insight even in low-frequency environments; it is able to treat profiles of low-frequency customers differently than those who interact with the company more frequently. If customer behaviour changes, SeeWhy automatically changes the analytic technique based on the individual's new behaviour.
• Context drilldown — A web based tool to allow the easy investigation of root causes of alerts or actions initiated by the system. Drill down also gives visibility to all the other metrics calculated by the system at the moment that the alert or action was fired. This is an invaluable 'footprint' enabling managers and analysts to understand root causes of problems and causal relationships, even when multiple alerts and actions are firing simultaneously.
• Dashboard server — Streams data in real time to other applications and middleware and databases for integration with BI tools for real-time reporting and dashboards.
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