FOOD is a mobile and web-based dining service aimed at helping travelers find personalized restaurant recommendations. I conducted an end-to-end data analysis covering retention trends, marketing channel performance, and re-engagement strategies based on a real user dataset.

Key insights included:

• Retention drop after first week; strongest among app users due to push notifications.
• Google Ads and Referrals produced the highest ARPU, while Email & Organic had lower ROI.
• Most returning users re-engaged within 18 days, making it the optimal intervention window.

Recommendations included improved onboarding, segmented re-engagement campaigns, and channel-specific marketing optimization. The project helped validate how analytics can inform both product and growth strategies.

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