Artificial Intelligence Comic Strip (AICS) Generators: A Review of Subscription Models, Pricing, and User Satisfaction
DOI:
https://doi.org/10.31436/ijpcc.v11i1.553Keywords:
Artificial Intelligence, Comic Strip, Subscription Model, Pricing Strategy, User PreferenceAbstract
This study investigates the evolution of Artificial Intelligence Comic Strip (AICS) platforms by analyzing their pricing strategies, subscription models, and user satisfaction. Fifteen leading platforms were systematically selected based on popularity, unique features, and diverse user groups, including beginners, educators, and professionals. They employed user feedback and platform analysis to evaluate pricing models and their impact on accessibility and retention. Key findings revealed five dominant pricing strategies: freemium models, tiered subscriptions, credit-based systems, pay-per-use options, and customizable services. While freemium models effectively introduce users to the platforms, high subscription fees and complicated credit systems often hinder user retention. User feedback indicated dissatisfaction with unclear pricing structures and limited affordability, particularly in regions with financial constraints. Adaptive pricing models incorporating user engagement metrics and regional economic factors were identified as potential solutions to enhance accessibility. Platforms combining affordability with robust features achieved better satisfaction rates and broader user adoption. Additionally, the study highlighted the importance of transparent communication and simplified interfaces to address barriers for non-expert users. This study underscores the need for AICS platforms to adopt inclusive pricing and user-centric designs. By doing so, they can attract a diverse audience, encourage creative participation, and strengthen their market position. These findings contribute to understanding how AICS platforms can balance user satisfaction and revenue generation while fostering creative expression and democratizing storytelling tools.
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