CASE MASTER 2023 || CASE COMPETITON
ROUND-I
Problem Statement:
A Case Study Competition on Revenue Generation Strategies for a social interaction platform
similar to Twitter.
Background:
In the era of social media dominance social media have transformed the way people communicate,
share information, and engage with others. Develop innovative revenue generation strategies for
the same. The objective is to explore avenues for sustainable monetization while maintaining user
engagement and addressing real-life challenges.
Problem Statement:
Participants are tasked with formulating comprehensive revenue generation strategies for a
microblogging and social networking service. The case study should focus on identifying and
capitalizing on monetization opportunities, considering user behavior, market dynamics, and the
evolving landscape of social media platforms.
Deliverables:
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Market Analysis: Participants must conduct a thorough analysis of the microblogging and
social networking market, including an assessment of Twitter's, Share Chat, Daily Hunt
revenue streams and business model. Identify the key drivers of revenue generation in the
industry, potential market gaps, and areas for differentiation. User Engagement and
Retention: Develop strategies to enhance user engagement and retention. Identify features,
content curation, and community-building initiatives that can attract and retain a loyal user
base, fostering active participation and user-generated content.
Monetization Models: Explore and evaluate various monetization models that can be
implemented on the platform. Consider advertising, freemium subscriptions, partnerships,
sponsored content, data monetization, and any other innovative revenue streams. Assess
the feasibility, scalability, and potential impact of each model. Along with the monetizable
DAUs, MAUs in the current and last Financial Year.
User Privacy and Data Ethics: Address the critical issue of user privacy and data ethics in
revenue generation strategies. Develop policies and measures to ensure user data
protection, transparency, and compliance with relevant regulations. Consider approaches
that balance revenue generation with user trust and satisfaction.
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Revenue Forecasting: Develop a comprehensive revenue forecasting model that estimates
the potential revenue generation from each monetization stream identified. Utilize market
data, user insights, and industry trends to provide realistic projections and revenue growth
trajectories.
Implementation Plan: Create a detailed roadmap for implementing the proposed revenue
generation strategies. Outline the necessary steps, timelines, resource allocation, and
potential challenges to effectively execute the monetization plan. Consider integration with
existing technology infrastructure, marketing campaigns, and user adoption strategies.
Evaluation and Optimization: Design an evaluation framework to measure the success and
impact of the implemented revenue generation strategies. Develop key performance
indicators (KPIs) and monitoring mechanisms to track revenue growth, user satisfaction,
and market share. Propose optimization strategies based on the evaluation results.
Evaluation Criteria:
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Depth of market analysis and understanding of the microblogging and social network industry
Creativity and feasibility of revenue generation strategies
Alignment with user engagement and retention objectives
Consideration of user privacy and data ethics
Realistic revenue forecasting and growth projections
Clarity and effectiveness of the implementation plan
Measurable impact and evaluation framework
Note: The case study competition aims to generate innovative revenue generation strategies.
Participants should focus on practical and actionable solutions rather than theoretical concepts.
The proposed strategies should align with user engagement, privacy considerations, and the
evolving dynamics of the social media landscape.
Submission Details:
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Submit a PPT of not more than 10 slides (including all the sides).
Final PPT should be submitted on Unstop only in pdf format.
The naming convention of the file shall be TeamName_CaMa.