Democratizing online marketing with novel text-augmenting technologies: leveraging NLP in marketing with AMCN2
bag-of-words;syntactical analysis;3rd-party sales;bag-of-words modelling;SEO
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An analysis of and proposal for NLP-based improvement of mass marketing and copywriting.
@misc{
sirivara2024democratizing,
title={Democratizing online marketing with novel text-augmenting technologies: leveraging {NLP} in marketing with {AMCN}2},
author={Neel Sirivara},
year={2024},
url={https://openreview.net/forum?id=erOd1p2Mlu}
}
The rapidly advancing online marketplace necessitates adaptation from online sellers, particularly those of a 3rd-party nature. Oftentimes in established markets, 3rd-party sellers without funding or an experienced marketing team will struggle to attract consumers despite offering products of equal or greater value than established competitors. This paper presents a complete methodology rooted in large multimodal datasets for inexperienced sellers to augment their marketing copy and produce high-level, competitive marketing content. The proposed interface effectively simulates professional-level review of marketing copy through its digestible presentation of content revision feedback generated through two computational linguistics methods. The first method is the use of natural language processing (NLP) parameters to provide clarity and concision feedback, achieved with backend integration of fine-tuned large language models (LLMs). The second method is frequency analysis from bag-of-words modelling of successful textual marketing to improve search engine optimization (SEO) of the marketing content with relevant keywords and syntax. This statistical approach is augmented by optimizing syntactical impact to improve the integration of suggested keyword variations. Our interface then synthesizes the analyses produced by the NLP and frequency analysis techniques to provide direct content revisions and suggestions to the user, uniquely tailored to the user-inputted marketing copy. In preliminary testing with existing product listings, listings achieved 95-212% greater SEO visibility after undergoing optimization through our interface. With the aid of existing materials and research, this second iteration of our methodology, dubbed Autonomous Marketing Content Network (AMCN2), can offer a balancing factor between new and established sellers in the constantly evolving game of online marketing.
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bag-of-words syntactical analysis 3rd-party sales bag-of-words modelling SEO
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sirivara|democratizing_online_marketing_with_novel_textaugmenting_technologies_leveraging_nlp_in_marketing_with_amcn2
generative models
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Democratizing online marketing with novel text-augmenting technologies: leveraging NLP in marketing with AMCN2
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