Introduction
To improve Sojern's travel intent data for hotel marketers, we need to identify and implement features that provide more actionable insights. This will involve analyzing current offerings, understanding user needs, and developing innovative solutions that align with market trends and Sojern's strategic goals. I'll approach this by examining user segments, pain points, potential solutions, and metrics for success.
Step 1
Clarifying Questions
Why it matters: Determines the baseline for improvement and identifies potential gaps. Expected answer: Basic search and booking data, demographic information, and some behavioral patterns. Impact on approach: Would focus on expanding data types or enhancing existing data analysis.
Why it matters: Influences the relevance and actionability of insights. Expected answer: Daily updates with a 24-48 hour lag time. Impact on approach: Might prioritize real-time data processing or predictive analytics.
Why it matters: Determines the level of targeting precision currently available. Expected answer: Basic segmentation by demographics and broad travel preferences. Impact on approach: Could focus on micro-segmentation or AI-driven personalization features.
Why it matters: Identifies potential competitive advantages to leverage. Expected answer: Partnerships with several major OTAs and airlines for booking data. Impact on approach: Might explore ways to further capitalize on these unique data sources.
I'd like to take a brief moment to organize my thoughts before moving on to the next section. This will ensure a structured approach to addressing the challenge.
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