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Business & Marketing
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Coursework
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English (U.S.)
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Topic:

Marketing Proposal

Coursework Instructions:
Research loyalty as it applies to your Marketing Proposal. Brainstorm how you will create loyalty for this new offering. 1. Who is in the target market for your final marketing plan? Make sure to provide the rationale. 2. What type of research methods will help you to understand this market best? 3. How will you obtain loyalty from this market? 4. Briefly describe the competition in this industry and any loyalty efforts that the major competitors are using.
Coursework Sample Content Preview:
Marketing Proposal Author’s Name The Institutional Affiliation Course Number and Name Instructor Name Assignment Due Date Target Market and Rationale The central group is Gen Z and younger Millennials 18-34, who book and plan on mobile, refer to peer content, and seek authentic, less impactful experiences. Gen Z evidence indicates that cross-nationally, the generation is price sensitive and ethically minded and highly dependent on social channels and platform reviews to shape preferences, which fits with Airbnb Rooms and host-community storytelling (Ivasciuc et al., 2025). This generation can also be found to feel free to experiment with secondary cities and peri-urban neighborhoods, in situations where the cues of safety, wayfinding, and cultural immersion are salient. The heterogeneity in demand for products and destinations post-pandemic supports the segment choice, as it prefers a flexible marketplace that can reassign stays outside of historic cores without jeopardizing recovery and retention. Priority Research Methods A mixed-method program must reflect some current academic practice. Cross-cultural surveys categorize Gen Z based on information sources, transportation and accommodation decisions, and sustainability intentions; the instrument’s structure can recycle validated constructs from tourism research. Platform trust and community trust could influence repurchase under privacy and security considerations, and structural-equation models can compute the extent of these effects, informing which trust signals to prioritize on search and listing pages (Pumputis, 2024). Host responsiveness badges, identity verification, safety checklists, and neighborhood tips can be evaluated as trust-transfer experiments and field A-B tests to measure perceived risk and intent to book. Survival and hazard models, which are commonly applied to analyze host and listing longevity when exposed to exogenous shocks, can be extended to guest retention cohorts to determine early churn risks. Lastly, the qualitative diaries and brie...
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