Personal Care & Beauty
Consumer Insights

Beauty trend forecasting is the process of identifying which products, ingredients, techniques, and consumer behaviours are gaining or losing momentum, and predicting where they will be in 6–12 months. Modern platforms like Spate do this by analysing trillions of signals from Google Search, TikTok, Reddit and Instagram rather than relying on analyst opinion or survey panels. The output is a directional view of consumer demand that brand and R&D teams can act on before a trend peaks.

Traditional market research that uses survey data, focus groups, panel data  is retrospective and slow, it does not allow to discover latest trends quickly. By the time a report is published, the trends could have shifted. AI-powered forecasting analyses real-time search and social signals (such as TikTok trends) at scale, identifying early-stage shifts weeks or months before they appear in sales data or trade press. For beauty brands, this means the difference between leading a trend and chasing it.

Spate platform covers skincare (ingredients, concerns, formats), haircare (products, techniques, ingredients), makeup (looks, products, applications), personal care (body, grooming, oral, feminine care), and fragrance (personal and home). We offer ingredient-level tracking, for example, distinguishing between bakuchiol and retinol as separate trend signals, which is particularly valuable for R&D marketing communications teams and building innovation pipelines.

Beauty competitive benchmarking compares consumer interest across brands at the category, subcategory, and product level, tracking momentum across mass, prestige, luxury, and DTC segments. Industry experts and brand representatives use it to understand where their brand sits relative to competitors in consumer search and social share, identify which competitor products are gaining traction, and spot where their own brand has a positioning advantage.