METHOD AND APPARATUS FOR OPTIMIZING WEB AND MOBILE SELF-SERVE APPS
First Claim
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1. A computer implemented method for optimizing any of Web and self-serve apps, comprising:
- a processor collecting and analyzing chat data of drop-off customers from each screen of a Web or self-serve app;
said processor combining said drop-off chat data with Web log data; and
said processor applying said combined drop-off chat data, and Web log data to optimize customer issue prediction and said app content.
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Abstract
An embodiment of the invention takes advantage of the fact that the intuitive power of a self-serve app lies in constant learning. The app must quickly evolve to predict customer needs and provide the right content to the right customer. In an embodiment, Web and mobile self-serve apps are optimized by leveraging the chat data of drop-off customers from each screen of the app. In an embodiment, self-serve drop-off data is combined with chat data, the customer'"'"'s identity data and Web log data to provide a powerful source for driving the targeting and content optimization of the app.
22 Citations
16 Claims
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1. A computer implemented method for optimizing any of Web and self-serve apps, comprising:
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a processor collecting and analyzing chat data of drop-off customers from each screen of a Web or self-serve app; said processor combining said drop-off chat data with Web log data; and said processor applying said combined drop-off chat data, and Web log data to optimize customer issue prediction and said app content. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. An apparatus for optimizing any of Web and self-serve apps, comprising:
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a processor comprising a module for collecting and analyzing chat data of drop-off customers from each screen of a Web or self-serve app; said processor comprising a module for combining said chat data of drop-off customers with a customer'"'"'s identity data and Web log data; and said processor comprising a module for applying said combined drop-off chat data, customer identity data, and Web log data to optimize customer issue prediction and said app content. - View Dependent Claims (14, 15, 16)
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Specification