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Street Style Analysis involves observing and photographing what people are wearing in real-life urban settings to identify emerging trends. It can be highly effective as it captures trends organically adopted by the public.

Historical Analysis looks at fashion cycles and past trends to predict future recurrence. This method can be effective due to cyclical nature of fashion, but may not detect new, unprecedented trends.

Social Media Monitoring tracks fashion influencers and hashtags to spot styles and products gaining popularity online. This method is effective but can be biased towards younger, more connected audiences.

Consumer Research Surveys collect feedback from potential customers about their preferences and future buying intentions. This approach is direct and informative but may not be indicative of actual future behavior.

Runway Analysis examines the collections presented at fashion weeks to predict which designs will influence mainstream style. It's quite effective but can sometimes be disconnected from what consumers will actually wear.

Fashion Forecasting Services use data analysis and industry expertise to predict trends. They are generally effective for long-term planning but can be costly and less adaptable to sudden trend shifts.