Optimizing User Growth in China’s Exhibition Industry Using Comprehensive Growth Models_Vol. 1 No. 5 (JBM 2024)_Journal of Business and Marketing (ISSN: 3005-5717)

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Optimizing User Growth in China’s Exhibition Industry Using Comprehensive Growth Models

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DOI: https://doi.org/10.62517/jbm.202409517

Author(s)

Yizhen Wang*

Affiliation(s)

College of Arts, Zhejiang Shuren University, Hangzhou, Zhejiang, China *Corresponding Author.

Abstract

This study explores the potential of digital tools in optimizing user growth pathways within China’s exhibition industry. It investigates how tools such as Cloud Exhibition Brain, Customer Data Platforms (CDP), and Social Customer Relationship Management (SCRM) systems enhance user acquisition, activation, retention, referral, and revenue generation. The analysis integrates the Susceptible-Infected-Recovered (SIR) and Acquisition-Activation-Retention-Referral-Revenue (AARRR) models, combining theoretical insights with case studies. The findings reveal that hybrid online-offline strategies have significantly improved user engagement in dynamic regions like Guangdong and Shanghai, increasing user acquisition rates by 30% and retention rates by 15%. Personalized content recommendations and social media integration were particularly effective in strengthening user loyalty and boosting commercial conversions. As digital transformation progresses, addressing challenges such as long-term retention and data privacy will be essential. This study offers actionable insights and practical strategies to advance the exhibition industry’s digital transformation and enhance its global competitiveness.

Keywords

China’s Exhibition Industry; Digital Transformation; User Engagement and Growth; Susceptible-Infected-Recovered Model; Acquisition-Activation-Retention-Referral-Revenue Model

References

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