AI sentiment analysis in b2b sales

: unpacking competitive strategies and marketing effectiveness in the case of Flair

Abstract

This comprehensive study examines Flair, a sentiment analysis startup in the B2B sales sector, through two main research questions focused on competitive positioning and marketing strategies. The first segment of the research identifies gaps in the competitive landscape where Flair can establish a distinct advantage. The study finds that while competitors like Gong, Fireflies AI, and Pickle have garnered high user ratings, they fall short in areas such as call searching and affordability. Furthermore, user pain points like limited mobile compatibility and steep learning curves provide opportunities for Flair to differentiate itself. The second part evaluates the efficacy of different marketing strategies - Content Marketing, Paid Advertising, and Scaled Outreach. Each offers unique benefits, with Content Marketing showing a particularly high ROI of 980%, suggesting that a balanced marketing mix could optimize both immediate and long-term growth. The study concludes that Flair is well-positioned for both immediate gains and long-term sustainability, offering significant opportunities to fill market gaps and satisfy unmet user needs.

Date of Award	24 Jan 2024
Original language	English
Awarding Institution	Universidade Católica Portuguesa
Supervisor	Rute Xavier (Supervisor)