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The paper analyzes the technical aspects of VR data collection, such as multimodal sensory inputs and behavior tracking, to develop a data-driven privacy-benefit analysis (PBA) framework. Our approach links VR data attributes to psychologically derived constructs, outlining their business and user value along with privacy risks implicated. By integrating knowledge from information systems, behavioral sciences, and marketing, we present a framework highlighting the double-edged role of VR data in enhancing user experience along with subjecting consumers to privacy vulnerabilities. Our findings emphasize the importance of privacy-preserving design strategies and regulatory measures for fostering ethical and responsible innovation for VR commerce. 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