Harnessing Social Media Analytics for Brand Equity Prediction in Digital-Native Enterprises

digital brand equity, social analytics, predictive modeling, the quality of engagement, digital-native organizations

Digital-first business model proliferation requires new methods of conceptualizing brand value creation. This study examines the preemptive connections between brand equity and social media measurements in 150 organizations that run their operations through Web-only methodologies. By using the hierarchical regression and structural equation modeling methods, we prove that collective social analytics are the best predictors of brand equity (about 67 percent). Particularly, the strength of emotional sentiment ( 0.412, p < 0.001) and meaningful content interactions ( 0.384, p < 0.001) are identified as the primary predictors of perceived brand worth by a customer. Unlike the traditional wisdom which insists on reaching as much as possible, our data indicates that quality-based engagement metrics have an enormous weight compared to volume-driven indicators. These factual discoveries provide a strategic guide on resource allocation in the digital brand building endeavors especially focusing more on genuine community nurturing as opposed to audience building strategies.