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Yelp A/B Testing
Project type
Digital Marketing Analytics
This project conducted an A/B test to determine whether category-based or review-based restaurant recommendations would drive higher reservations. The experiment, involving 200 restaurants, found that review and price-based recommendations (Version B) led to a significant increase in reservations, particularly for premium dining establishments. The findings were supported by statistical analysis, leading to recommendations for better ad targeting and customer segmentation.














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