2025, Vol. 6, Issue 1, Part I
AI based landing page copywrite
Author(s): Priyanga R, Parameswaran E, Jeevitha S, Akash K and Surya B
Abstract: An Innovative AI-powered landing page copy generator, meticulously crafted to produce dynamic and customization content aimed at optimizing user engagement and conversion rates. The system harnesses Grok LLM models for intelligent marketing copy generation, integrates Next.js for building a responsive and interactive front-end interface, and utilizes Flask for robust back-end data processing and system logic. Central to the system's design is its capacity to tailor landing page content precisely to individual user preferences and requirements. This customization is facilitated through the collection of pertinent data via a userfriendly form, laying the groundwork for personalized landing page creation that transcends the constraints of generic, static content. To elevate the system's capabilities beyond conventional static content generation approaches, we introduce a pioneering 'Dynamic Content Personalization based on Real-time User Behavior' module. This module is further enriched by the incorporation of Multi-Modal Emotion Analysis, enabling a more nuanced and comprehensive comprehension of user reactions. Specifically, the system dynamically adjusts presented content based on explicit user interactions like click events and scroll depth, indicative of user interest and navigation patterns, along with implicit emotional cues. These implicit cues are gleaned from the analysis of visual elements such as images and videos, empowering the system to infer user emotional states and preferences. By harmonizing behavioral and emotional data, this dual approach strives to optimize user engagement and conversion rates by delivering a more personalized, relevant, and emotionally resonant user experience. The manuscript furnishes an intricate exposition of the system architecture, elucidates the methodologies underpinning its development and rigorous evaluation, and showcases the pivotal outcomes derived from experimental studies, underscoring the substantial potential of multi-modal analysis in augmenting the efficacy of AI-generated landing pages in fulfilling marketing objectives.
Pages: 820-828 | Views: 61 | Downloads: 35
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How to cite this article:
Priyanga R, Parameswaran E, Jeevitha S, Akash K, Surya B. AI based landing page copywrite. Asian J Manage Commerce 2025;6(1):820-828.
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