CMO, rigorous research insights for digital marketing, in particular, programmatic advertising
Atlanta, GA
Joined July 2017
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Life is probabilistic! retweeted
We investigate whether UGC has differential impacts on stock performance for B2B and B2C firms. We collect a #bigdatas of 84 million tweets from 20.3 million Twitter accounts and 8 years of stock data for 407 companies from the S&P500 index: doi.org/10.1016/j.indmarman.…
Life is probabilistic! retweeted
Analyzing the impact of user-generated content on B2B Firms' stock performance: Big data analysis with machine learning methods: doi.org/10.1016/j.indmarman.…
Life is probabilistic! retweeted
This paper uses #bigdata to study the impact of a luxury brand's social media marketing activities on customer engagement. The findings have important implications for the design, delivery, and management of social media marketing for luxury brands: doi.org/10.1016/j.jbusres.20…
Life is probabilistic! retweeted
Are brand-targeting social #bots distorting information? A #bigdata analytics of #brand social bots on Twitter: researchgate.net/publication…
Life is probabilistic! retweeted
Applying the dual perspective of customer engagement, this research (doi.org/10.1016/j.jbusres.20…) examines the influence of focusing on the entertainment, interaction, trendiness, and customization dimensions of a luxury brand's social media activities on customer engagement.
Life is probabilistic! retweeted
This research project leverages the potential of big data to gain insights on actual
customer engagement behavior resulting from a luxury brand's social
media marketing activities: doi.org/10.1016/j.jbusres.20…
Life is probabilistic! retweeted
This study answers marketing scholars' calls for research into understanding the relationship between a firm's engagement activities and the resulting customer engagement using big data: doi.org/10.1016/j.jbusres.20…
Life is probabilistic! retweeted
This study ( doi.org/10.1016/j.jbusres.20… ) used a fixed-effects (FE) model to analyze panel data consisting of 900 monthly observations for 15 luxury brands. An interesting application of #bigdata analytics and natural language processing.
Life is probabilistic! retweeted
This JBR article uses big data analytics to derive quantifiable luxury insights (doi.org/10.1016/j.jbusres.20…). The top 15 luxury brands with the highest number of Twitter followers, identified from PMX Agency's (2017) list of luxury brands per Twitter follower counts, were included.
Life is probabilistic! retweeted
This is by far the most comprehensive Hubble deep-field image. The full thing shows roughly 265,000 galaxies stretching back 13.3 billion years, to just 500 million years after the Big Bang. trib.al/Pl68OCI
Life is probabilistic! retweeted
The goal of this study (doi.org/10.1016/j.jbusres.20… …) is to utilize big data to investigate the effects of luxury brands' social media marketing on customer engagement.
The goal of this study (doi.org/10.1016/j.jbusres.20… …) is to utilize big data to investigate the effects of luxury brands' social media marketing on customer engagement.
Life is probabilistic! retweeted
This research utilizes #bigdata to examine the influence of focusing on the entertainment, interaction, trendiness, and customization dimensions of a #luxury #brand's social media activities on customer engagement with brand-related #socialmedia content: doi.org/10.1016/j.jbusres.20…
@marketingtext LDA and sentiment analysis are two highly acclaimed machine learning methods that are specifically designed to tackle the challenge of big data in textual formats.
Combine #bigdata and biology to ride the next wave of high technology: fortune.com/2018/03/19/big-d…
Life is probabilistic! retweeted
Does your last name come from royalty?
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Life is probabilistic! retweeted
PODCAST: $GS Research on self-driving cars, electric vehicles and what it all means for the cities of the future: click.gs.com/nz5z
Life is probabilistic! retweeted
I'd say ML is both overhyped and underrated. People overestimate the intelligence & generalization power of ML systems (ML as a magic wand), but underestimate how much can be achieved with relatively crude systems, when applied systematically (ML as the steam power of our era)