Attitudinal analytics
marketing technology application
Attitudinal analytics is a marketing technology application that involves the integration of online surveys that capture visitor intent and critical demographic attributes with the tracking of explicit behavior through click stream monitoring on websites. This quantitative user experience collects data from thousands of user sessions rather than hundreds. This data is typically compared against key performance indicators for performance, customer satisfaction and overall customer experience success or failure. Reports of finding and recommendations are used to improve a website or customer experience program that is heavily dependent upon the use of an online campaigns driving traffic to a website or collection of sites. Offline measurement can also be incorporated to extend the customer experience understanding to illuminate what elements of the online experience impacted offline behavior such as purchasing in a store or visiting a branch office.
Several vendors provide attitudinal analytics solutions as stand-alone offerings. Leading web analytics players are also providing partner integration frameworks to better integrate silos of intent, attitudinal and behavioral data.
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The date and method of observation matter as much as the stated conclusion, especially where classification or consensus has changed. The source revision retrieved here is dated Jun 17, 2024. The linked authority identifier is Q4818550.
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This entry incorporates text from “Attitudinal analytics” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.