Consumer Trend Intelligence for Research & Insights Teams
Surveys tell you what people say. Behavior tells you what they actually do.
Spate is the consumer insights software that gives research and insights teams a live read on real customer behavior across beauty, personal care, wellness, and food & beverage, drawn from what people search for and talk about on Google, TikTok, Instagram, and Reddit. It's a behavioral layer that sits alongside your panels and studies, turning consumer signals into actionable insights. It replaces the hours spent pulling trend signals together from a dozen scattered sources, so your team spends less time assembling the data and more time building the story other teams act on, and turning it into a deck fast.
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Research and insights teams at leading beauty, personal care, wellness, and food & beverage brands use Spate to move faster, defend recommendations with data instead of instinct, and ground their insights in real behavior.
Built for How Research & Insights Teams Actually Work
Consumer Trend Data Access
Spate gives your team direct access to consumer trend data across beauty, personal care, wellness, and food & beverage, standardized, always on, and refreshed regularly, so you're not commissioning a new study every time a question comes up. It's a consistent source you can go back to as demand shifts, and the visualizations drop straight into a stakeholder deck instead of a separate build every time.
Whitespace & Market Gap Analysis
Spate surfaces the gaps where consumers are clearly searching for or talking about something the market hasn't answered yet. For an insights team, that's a whitespace opportunity you can hand to product or brand, backed by real demand rather than a hunch.
Trend & Claims Validation
Before a trend or claim goes into a report, sanity-check it against real behavior. Spate lets you confirm whether interest in a theme is genuinely building, so the story you're telling stakeholders holds up before it's in the deck.
Longitudinal Trend Tracking
A single snapshot can mislead you. Spate tracks how a trend actually moves, climbing, leveling off, or fading out. That's how your team tells a real, durable shift from a short-lived spike.
What Research & Insights Teams Say
Research and insights teams are expected to know what consumers want next, not just explain what happened yesterday. Spate combines Google Trends-level search demand with signals across social media and Reddit into one consumer intelligence platform, built specifically for beauty, personal care, wellness, and food & beverage rather than adapted from a general-purpose analytics tool. And you won't need weeks to get comfortable with it.
Built for Beauty, Personal care, Wellness and Food & Beverage
Beauty Trends
Skincare, makeup, haircare, fragrance, and nail trends, tracked at the ingredient and category level.
Personal care
Oral care, bath and body, and grooming, covering emerging ingredients and the broader shifts around them.
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Wellness Trends
Nutrition, supplements, fitness, and functional health trends, from ingredient-level movement to category-wide demand.
Food & Beverage
Functional drinks, snacking, and better-for-you formats, tracked with the same signal stack insights teams rely on.
FAQ
Spate answers the consumer goods industry’s biggest questions:
It's a tool that helps teams understand consumers by reading real behavior; in Spate's case, what people are searching for and talking about across search, social, and community data. Spate does this for beauty, personal care, wellness, and food & beverage, giving Insight teams a behavioral view of demand and the customer sentiment behind it on social, to sit alongside their survey and panel research. It's how a team can identify trends and gather consumer insights without launching a new study every time.
The signals come from Google, TikTok, Instagram, and Reddit. From there, machine learning and AI do the cleanup, turning raw activity into trend metrics you can actually track over time. And since it tracks behavioral data, searches, posts, and engagement, you're seeing what people do. Closest comparison? Google Trends, but built for a research team, stretched across social platforms.
As an early, behavioral check, yes. Spate lets you see whether real consumer interest is building around a trend or claim before it goes into a report, so the story your team tells stakeholders is backed by real signal, not just a hunch about what's resonating.
Yes. Spate's data is always on and refreshed regularly, so insights teams can track a category continuously rather than commissioning a fresh study each time, and see how demand moves over months, not just at a single point.
Beauty, personal care, wellness, and food & beverage, tracked at both the ingredient and category level.
TikTok and Instagram data refreshes weekly and search data monthly, so your team is always working from recent behavior rather than a study that's a season out of date.
Yes. Spate's data and visualizations, plus tools like the AI Assistant and Report Builder, export straight into internal reports and decks, so the actionable insights you find are presentation-ready without an analyst rebuilding them by hand. It fits into the way your team already works, informing decisions about a target audience or target market with data-driven insights rather than raw numbers you have to process yourself.
Instead of handing you a spreadsheet to pick apart, Spate surfaces what's moving and why. Your team gets to skip the interpretation and go straight to the recommendation, uncovering valuable customer insights without the grunt work. This is the gap between data and actionable insights: one you still have to figure out, the other's ready to use.
For understanding why someone feels a certain way, survey and panel platforms are built to ask directly. For understanding what consumers are actually doing, and where demand is going next, Spate is the primary source: it reads real activity across search and social instead of waiting on people to self-report, and replaces the manual work of pulling that signal together yourself.
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