Authors :
Neel Sirivara
Volume/Issue :
Volume 8 - 2023, Issue 10 - October
Google Scholar :
https://tinyurl.com/3753snny
Scribd :
https://tinyurl.com/4jtrxxv8
DOI :
https://doi.org/10.5281/zenodo.10066369
Abstract :
The rapidly advancing online marketplace
necessitates adaptation from sellers and consumers alike.
Oftentimes in established markets, sellers without grand
funding or an extremely experienced marketing team will
struggle despite offering products of equal or greater
value than established competitors. This research paper
presents a complete methodology, harnessing data
mining, AI, and statistical techniques, for inexperienced
sellers to augment their marketing copy and produce
high-level, competitive marketing content. With the aid of
existing materials and research, this paper’s proposed
model can offer a balancing factor between new and
established sellers in the constantly evolving online
market.
Keywords :
3rd-Party Seller, SEO, Bag-Of-Words Modelling, Marketing Copy
The rapidly advancing online marketplace
necessitates adaptation from sellers and consumers alike.
Oftentimes in established markets, sellers without grand
funding or an extremely experienced marketing team will
struggle despite offering products of equal or greater
value than established competitors. This research paper
presents a complete methodology, harnessing data
mining, AI, and statistical techniques, for inexperienced
sellers to augment their marketing copy and produce
high-level, competitive marketing content. With the aid of
existing materials and research, this paper’s proposed
model can offer a balancing factor between new and
established sellers in the constantly evolving online
market.
Keywords :
3rd-Party Seller, SEO, Bag-Of-Words Modelling, Marketing Copy
