Overview
Summary
The useful answer before the supporting detail.
Spate is an AI-powered trend intelligence platform that helps consumer brands in beauty, wellness, and food & beverage forecast trends and understand consumer behavior S1. It analyzes trillions of data points from Google Search, TikTok, Reddit, and Instagram to surface emerging trends, benchmark competitors, and identify whitespace opportunities S21 S13. The platform provides a self-serve dashboard, AI Assistant, and API access, enabling teams to integrate insights into their workflows S13 S1.
Product identity and positioning
Name, category, positioning, audience, and first-party claims.
- Identity: Spate is a Y Combinator-backed trend intelligence platform founded by ex-Googlers S1.
- Core purpose: It helps consumer brands forecast trends and understand consumer behavior S1 S23.
- Intended users: Marketing, R&D, insights, and leadership teams at consumer brands S13.
- Product scope: A web-based platform with a dashboard, AI Assistant, Report Builder, and API S13 S1.
- Positioning: Spate positions itself as the leading AI-powered trend forecasting platform for consumer brands S1.
- Claimed distinction: It analyzes trillions of data points across search and social platforms S13.
Use cases and audiences
Who the product serves and the jobs it is designed to handle.
| Audience | Practical use case |
|---|---|
| Marketing teams | Track top social media trends and content to guide campaign strategy S6. |
| R&D teams | Identify emerging trends and whitespace opportunities to inform product innovation S136 S34. |
| PR teams | Use trend insights to guide editorial and press strategies S108. |
| Retailers and investors | Discover emerging brands fueling trend momentum S21. |
Traffic and search
SEO analysis
Collected Oct 22, 2026spate.nyc: an estimated 12,751 total monthly visits and about 2,961 monthly organic visits across 85 ranking keywords. Scout crawled 15 pages and measured a technical health score of 98/100.
Search summary
The useful answer before the supporting detail.
Leverage AI-powered trend forecasting for beauty, wellness, personal care and food brands. Spate predicts consumer trends with unmatched accuracy. spate.nyc: an estimated 12,751 total monthly visits and about 2,961 monthly organic visits across 85 ranking keywords. Scout crawled 15 pages and measured a technical health score of 98/100.
- Total traffic (modeled): 12,751 monthly visits across all channels.
- Organic search traffic (estimated): 2,961 monthly visits from search.
- Strongest sampled ranking: spate at position 1.
- Leading page in the collected evidence: https://www.spate.nyc/.
- Closest measured organic competitor: youtube.com, appearing 2 times in the sampled first-page SERPs.
- Technical crawl: 15 pages, health score 98/100.
Website intelligence — Collected evidence
Company identity and positioning
| Page type | Evidence | Source |
|---|---|---|
| other | Leverage AI-powered trend forecasting for beauty, wellness, personal care and food brands. Spate predicts consumer trends with unmatched accuracy. | https://www.spate.nyc/ |
| other | Leverage AI-powered trend forecasting for beauty, wellness, personal care and food brands. Spate predicts consumer trends with unmatched accuracy. | https://www.spate.nyc/ |
| other | Leverage Spate’s AI-powered market research platform to uncover emerging trends and guide forward-looking decisions with proven accuracy. | https://www.spate.nyc/ |
| other | Spate is the Leading CPG Trend Forecasting Tool for Beauty, Wellness, and Food & Beverage Brands | https://www.spate.nyc/ |
| other | ](/features/whitespace-opportunities)[marketing & consumer trends analysis services for enteprise | https://www.spate.nyc/ |
| other | Enterprise Solution | https://www.spate.nyc/ |
| other | Actionable answers across platforms for comprehensive insights | https://www.spate.nyc/ |
| other | Solutions for Every Team | https://www.spate.nyc/ |
| other | Tailored insights and tools for different roles across your organization. | https://www.spate.nyc/ |
| other | ](/teams/marketing)[ | https://www.spate.nyc/ |
| other | ](/teams/sales)[ | https://www.spate.nyc/ |
| other | Uncover insights for innovation and validation | https://www.spate.nyc/ |
Website intelligence — Scout synthesis
- Spate is an AI-powered market research and consumer trend forecasting platform for CPG brands in beauty, wellness, and food & beverage W5W29.
- The platform analyzes trillions of data points from Google Search, TikTok, Instagram, and Reddit to predict trends with a claimed 72% accuracy W23W47W99.
- Core features include accurate trend prediction, competitive benchmarking, trend growth drivers, top social content, whitespace opportunities, and enterprise solutions W11W13W15W17W19W21.
- Spate serves marketing, R&D, PR, and other teams, with applications in product development, competitive advantage, and revenue growth W6W30W52.
- The platform offers a self-serve dashboard, custom alerts, and a free trial W7W31.
- Enterprise plans include custom reporting, API access, and data integration flexibility W20W44W152.
- Spate tracks trends across six markets: US, UK, France, South Korea, Japan, and Global W111W138W156.
Domain performance
Modeled total traffic, six-month trend, engagement, countries, and domain identity.
Total website traffic
Six-month trafficModeled monthly visits
Monthly visits12,751
Global rank#1,877,535
Top-country rankUS #1,417,873
Bounce rate41.2%
Pages per visit1.65
Visit duration27s
| Month | Modeled visits |
|---|---|
| 2026-04 | 27,569 |
| 2026-05 | 18,818 |
| 2026-06 | 22,356 |
| 2026-07 | 14,819 |
| 2026-08 | 16,184 |
| 2026-09 | 12,751 |
Top visitor countries
| Country | Name | Traffic share |
|---|---|---|
| US | United States | 35.1% |
| GB | United Kingdom | 22.3% |
| DE | Germany | 22.0% |
| IN | India | 10.0% |
| CA | Canada | 6.3% |
35.1%United States
United States35.1%United Kingdom22.3%Germany22.0%India10.0%Canada6.3%Other4.2%
Domain identity
| Signal | Value |
|---|---|
| Registered | Jan 3, 2018 |
| Last changed | Jan 9, 2026 |
| Expires | Jan 3, 2027 |
| WHOIS server | whois.nic.nyc |
| DNSSEC | Not signed |
| Nameservers | ns70.domaincontrol.com, ns69.domaincontrol.com |
Website capture
Organic keywords
Top keywords and an independent Google result page.
Top organic keywords
| Keyword | Volume | CPC | Estimated value |
|---|---|---|---|
| spate | 5,250 | $1.85 | $780 |
| spate ai | 310 | $0.00 | $290 |
| spate nyc | 190 | $0.00 | $180 |
| spate supplements | 0 | $0.00 | $180 |
| spate nyc demo | 60 | $0.00 | $50 |
Independent Google result page
Query: spate
| Position | Title | URL | Description |
|---|---|---|---|
| 1 | Spate: Best AI Market Research & Consumer Trend ... | https://www.spate.nyc/ | Leverage AI-powered trend forecasting for beauty, wellness, personal care and food brands. Spate predicts consumer trends with unmatched accuracy. |
| 2 | SPATE Definition & Meaning | https://www.merriam-webster.com/dictionary/spate | The meaning of SPATE is a large number or amount. t : freshet, flood. A spate of books on the subject have come out recently. |
| 3 | SPATE | https://www.linkedin.com/company/spatenyc | Spate is your machine intelligence solution for finding the next big consumer trend in beauty and wellness. The Spate dashboard analyzes over 20 billion ... |
| 4 | SPATE Definition & Meaning | https://www.dictionary.com/browse/spate | noun a sudden, almost overwhelming, outpouring. a spate of angry words. a sudden or heavy rainstorm. a fast flow, rush, or outpouring … scribed a sudden flood ... |
| 5 | SPATE | definition in the Cambridge English Dictionary | https://dictionary.cambridge.org/us/dictionary/english/spate | a larger number of events than usual, especially unpleasant ones, happening at about the same time: spate of Police are investigating a spate of burglaries in ... |
| 6 | spate | https://en.wiktionary.org/wiki/spate | spate, spait (“a flood”), An originally popular (now standard language) alternative of dos (“back”). |
Important pages
Pages earning the most estimated search traffic in the sample.
Website intelligence — Collected evidence
Prioritized website intelligence pages
| Type | Page | Words | Change | URL |
|---|---|---|---|---|
| other | Best AI Market Research & Consumer Trend Forecasting Tool \ | static | 1,077 | new |
| other | Best AI Market Research & Consumer Trend Forecasting Tool \ | static | 1,077 | new |
| features | Market Intelligence Solutions for Every Team \ | playwright | 1,792 | new |
| features | Predictive Analytics for CPG Product Innovation \ | playwright | 3,178 | new |
| features | Trend Forecasting & Trend Analysis with AI Consumer Insights \ | playwright | 1,662 | new |
| features | Platform for competitive Benchmarking & Brand Analysis \ | playwright | 1,494 | new |
| features | Enterprise Consumer Market Intelligence Solutions Platform \ | playwright | 1,647 | new |
| features | Consumer Social Content & Influencers Tracking Platform\ | playwright | 1,603 | new |
| features | Trend Growth Drivers & Consumer Insights Platform \ | playwright | 1,536 | new |
| features | Consumer Whitespace Opportunities & Market Gaps Tool \ | playwright | 1,502 | new |
| reviews | Reddit Makeup Reviews: What Brands Can Learn \ | static | 2,389 | new |
| pricing | Q4 Hair Care Trends: What the Data Says to Plan Around \ | static | 1,913 | new |
| trust | Privacy Policy: How Spate Protects Your Data | 2,454 | new | https://www.spate.nyc/privacy-policy |
Features
| Page type | Evidence | Source |
|---|---|---|
| features | ](https://app.spate.nyc/) | https://www.spate.nyc/solutions-overview |
| features | For Every Team | https://www.spate.nyc/solutions-overview |
| features | Tailored Insights & Tools | https://www.spate.nyc/solutions-overview |
| features | Core Features That Support Every Team | https://www.spate.nyc/solutions-overview |
| features | Spate supports marketing, R&D, PR, and other teams by tracking digital trends, predicting future shifts, benchmarking competitors, and identifying whitespace opportunities across beauty, personal care, wellness, and food & beverage. | https://www.spate.nyc/solutions-overview |
| features | AI-Powered Market Research Platform for Consumer Trends | https://www.spate.nyc/solutions-overview |
| features | Spate analyzes trillions of search and social signals to uncover emerging trends, enabling brands to refine marketing strategies, marketing campaigns, and content strategy while gaining a competitive edge. As an AI-powered market intelligence platform, Spate helps teams innovate with confidence using timely insights and advanced data analysis. | https://www.spate.nyc/solutions-overview |
| features | Accurate Trend Prediction | https://www.spate.nyc/solutions-overview |
| features | Spate uses data signals from Google Search, TikTok, Reddit and Instagram coupled with proprietary predictive algorithms: | https://www.spate.nyc/solutions-overview |
| features | Predictive Growth Metric | https://www.spate.nyc/solutions-overview |
| features | Trend Longevity Evaluation | https://www.spate.nyc/solutions-overview |
| features | Proven Accuracy | https://www.spate.nyc/solutions-overview |
| features | Timely data and key metrics tracking | https://www.spate.nyc/solutions-overview |
| features | ](/features/accurate-trend-prediction) | https://www.spate.nyc/solutions-overview |
| features | Competitive Benchmarking | https://www.spate.nyc/solutions-overview |
| features | Spate helps brands evaluate performance against competitors across broad consumer verticals, detailed subcategories, and at the product level using competitive analysis and competitive intelligence tools. | https://www.spate.nyc/solutions-overview |
| features | Market Positioning Analysis | https://www.spate.nyc/solutions-overview |
| features | Identifying Leading Brands | https://www.spate.nyc/solutions-overview |
| features | Platform Momentum Insights | https://www.spate.nyc/solutions-overview |
| features | Compare performance using industry benchmarks and competitor analysis | https://www.spate.nyc/solutions-overview |
Pricing and plans
| Page type | Evidence | Source |
|---|---|---|
| pricing | The real problem at Q4 for hair care brands is figuring out which data actually matters. Every brand can pull last year's numbers. However, most know by now that copying last year's plan is a losing move, especially with how AI has made everyone a little more data-savvy and skeptical of anything that looks recycled. | https://www.spate.nyc/blog/the-hair-care-trends-brands-need-on-their-q4-roadmap-according-to-the-data |
| pricing | Q4 sneaks up on you every year regardless. One quarter you're pushing summer frizz control, the next you're expected to have holiday gift sets on the shelf, a New Year "reset" campaign in the works, and a whole seasonal shift in what consumers are actually searching for. The brands that get this right every quarter aren't determined by budget or the flashiest campaign. They're the ones who figured out what actually makes a product win and sell itself apart from everything else on the shelf, and then built their whole Q4 push around that instead of guessing. | https://www.spate.nyc/blog/the-hair-care-trends-brands-need-on-their-q4-roadmap-according-to-the-data |
| pricing | Three things collide in Q4 that don't overlap the rest of the year. Holiday gifting turns hair tools and gift sets into a real purchase occasion. New Year "reset" searches: hair growth, scalp health, and new routines start building in December before they peak in January. And winter itself brings its own set of concerns: dryness, static, color fading faster in cold, dry air, damage from indoor heating. | https://www.spate.nyc/blog/the-hair-care-trends-brands-need-on-their-q4-roadmap-according-to-the-data |
| pricing | This convergence makes Q4 less about picking one seasonal angle and more about layering several at once. A brand that only plans around holiday gifting misses the reset-search wave building right behind it. A brand that only chases New Year resolutions misses the gifting window that comes first. The data below is organized to help separate what's worth building content and merchandising around now versus what's just noise. | https://www.spate.nyc/blog/the-hair-care-trends-brands-need-on-their-q4-roadmap-according-to-the-data |
| pricing | The skinification of hair care keeps accelerating. Hair serum is up 56.4% year over year, and the conversation has moved well past basic shine and smoothness into targeted concerns like density and thinning. Interest is also extending in an unexpected direction: men applying hair serums to facial hair, especially mustaches, for the same perceived growth benefits. | https://www.spate.nyc/blog/the-hair-care-trends-brands-need-on-their-q4-roadmap-according-to-the-data |
| pricing | Scalp serum tells a similar story. It's grown well into double digits year over year, and the top search concerns tied to it are dry scalp, thinning, and hair loss, with consumers specifically looking for something that promotes growth while relieving scalp discomfort. Brands like Seapuri, Divi, and Ouai are seeing real search traction here, and K-beauty is a genuine undercurrent in this specific category, gentle, skin-friendly formulas positioned as scalp care rather than just hair care. | https://www.spate.nyc/blog/the-hair-care-trends-brands-need-on-their-q4-roadmap-according-to-the-data |
| pricing | Hair growth shampoo backs this up from the product side, growing steadily and driven almost entirely by Google search rather than social discovery, meaning consumers researching hair growth products already know what they're looking for and are comparing specific formulas, biotin, sulfate-free, rosemary, rather than just browsing. | https://www.spate.nyc/blog/the-hair-care-trends-brands-need-on-their-q4-roadmap-according-to-the-data |
| pricing | The pattern across all of it is consistent: consumers are treating the scalp the way they treat facial skin, as its own concern with its own routine, not an afterthought to whatever shampoo happens to be in the shower. Haircare's focus keeps shifting downward, past the strand and into what's underneath it. Split end mender is showing the same pattern from a different angle. It's up 219.3% year over year, and more than half of that growth is coming straight from Google, people actively researching it, not just stumbling on it. What's interesting is how creators are framing it on social media, tying split ends and breakage directly to length retention, treating a split end mender less like a quick fix and more like a real step in growing out healthy hair. The want underneath it is simple: get to enough length before damage forces another trim. | https://www.spate.nyc/blog/the-hair-care-trends-brands-need-on-their-q4-roadmap-according-to-the-data |
| pricing | Hair clay runs almost the opposite way, up 78.2% year over year with nearly two-thirds of its popularity coming from TikTok rather than search, tied closely to creator-led styling and texture content. | https://www.spate.nyc/blog/the-hair-care-trends-brands-need-on-their-q4-roadmap-according-to-the-data |
| pricing | Layer the three Q4 forces instead of picking one. Build holiday gifting content early in the quarter, then transition into reset and New Year hair goal content as December closes, rather than treating them as separate campaigns. | https://www.spate.nyc/blog/the-hair-care-trends-brands-need-on-their-q4-roadmap-according-to-the-data |
| pricing | Lean into scalp health as a year-round positioning, not just a Q4 push. The data shows this shift is structural, consumers treating scalp care like skincare, not a seasonal trend that fades after January. | https://www.spate.nyc/blog/the-hair-care-trends-brands-need-on-their-q4-roadmap-according-to-the-data |
| pricing | Build in room to adjust mid-quarter. Q4 moves fast between gifting, reset season, and New Year routines, so lock in the format and platform strategy early, but leave the specific trends and content flexible enough to shift if something like a new styling trend accelerates faster than expected. | https://www.spate.nyc/blog/the-hair-care-trends-brands-need-on-their-q4-roadmap-according-to-the-data |
| pricing | Revisit the data monthly through Q4. Search behavior shifts fast heading into the New Year, and a trend that's building in October can look very different by late December. | https://www.spate.nyc/blog/the-hair-care-trends-brands-need-on-their-q4-roadmap-according-to-the-data |
| pricing | Scalp health and hair serum lead the care side, with hair serum up 56.4% year over year and scalp serum growing steadily as consumers search for solutions to thinning, dryness, and hair loss. On the styling side, the warrior cut and low-tension hairstyles are both up over 1,000% year over year, alongside sustained interest in the modern mullet and flow haircut. | https://www.spate.nyc/blog/the-hair-care-trends-brands-need-on-their-q4-roadmap-according-to-the-data |
| pricing | How should hair care brands plan content for Q4? | https://www.spate.nyc/blog/the-hair-care-trends-brands-need-on-their-q4-roadmap-according-to-the-data |
| pricing | Match content format to where each trend actually lives. Search-led trends need SEO and comparison content; social-led trends need creator partnerships and short-form video. Layer holiday gifting and New Year reset messaging across the quarter rather than treating them separately, and revisit the data monthly since search behavior shifts quickly heading into the New Year. | https://www.spate.nyc/blog/the-hair-care-trends-brands-need-on-their-q4-roadmap-according-to-the-data |
| pricing | About UsPricingTrial | https://www.spate.nyc/blog/the-hair-care-trends-brands-need-on-their-q4-roadmap-according-to-the-data |
Integrations and supported platforms
No supporting public-page evidence was collected for this category.
Product and company updates
No supporting public-page evidence was collected for this category.
Website intelligence — Scout synthesis
- Homepage (spate.nyc/): Introduces the platform, key features, and value proposition W1W2W3.
- Solutions Overview (spate.nyc/solutions-overview): Details how Spate supports different teams (marketing, R&D, PR) and core features W49W50W51W52.
- Feature Pages:
- Accurate Trend Prediction: /features/accurate-trend-prediction W97
- Competitive Benchmarking: /features/competitive-benchmarking W121
- Enterprise Solutions: /features/enterprise-solutions W145
- Top Social Content: /features/top-social-content W169
- Trend Growth Drivers: /features/trend-growth-drivers W193
- Whitespace Opportunities: /features/whitespace-opportunities W217
- Blog Post: /blog/predictive-analytics-product-innovation-cpg discusses predictive analytics for CPG product innovation W73.
Rank tracking
Persistent keyword baselines and position movement.
This analysis created the first position baseline at 2026-10-22T01:49:51.062Z. Movement appears after the next fresh analysis using the same location and language.
Features
Features and capabilities
Core functions and evidence-backed product capabilities.
| Capability | What it does |
|---|---|
| Trend forecasting | Predicts future consumer interests and purchasing behaviors using past and emerging data, with a transparent confidence score S23. |
| Competitive benchmarking | Tracks brand performance against competitors across six markets, using watchlists to monitor custom competitor sets S28. |
| Whitespace opportunities | Identifies unmet consumer demand and low-competition spaces to inform product development and go-to-market strategies S34. |
| Social content tracking | Surfaces influential TikTok and Instagram posts weekly, with creator discovery and performance insights S6. |
| AI Assistant | Answers natural-language questions about trends and builds reports from a prompt S13 S108. |
| Report Builder | Assembles full reports from a prompt, with auto-refreshing and PowerPoint export S136. |
| API access | Integrates Spate data directly into internal dashboards and workflows S1 S13. |
Integrations and ecosystem
Connected products, exports, APIs, and workflow compatibility.
| Integration or interface | Type | What it enables |
|---|---|---|
| Spate API | API | Integrates trend data into internal dashboards and workflows S1 S13. |
| PowerPoint export | Data portability | Exports auto-refreshing reports to PowerPoint S136. |
| Google Search, TikTok, Reddit, Instagram | Data source | Analyzes search and social signals to surface trends S21 S13. |
Pricing
Pricing and plans
Published plans, free access, trials, credits, and pricing limitations.
Competition
Competitive landscape
Domains competing for the same organic search demand.
Sampled competitors
| Competitor | First-page appearances | Sampled queries | Average position | Queries observed |
|---|---|---|---|---|
| youtube.com | 2 | 2 | 4 | spate, fragrance trends |
| platform.softwareone.com | 2 | 1 | 4.5 | spate |
| wordwebonline.com | 1 | 1 | 1 | spate |
| whowhatwear.com | 1 | 1 | 1 | fragrance trends |
| meetglimpse.com | 1 | 1 | 2 | fragrance trends |
| preqin.com | 1 | 1 | 3 | spate |
| dictionary.cambridge.org | 1 | 1 | 4 | spate |
| tijon.com | 1 | 1 | 4 | fragrance trends |
| tilleydistribution.com | 1 | 1 | 5 | fragrance trends |
| oed.com | 1 | 1 | 6 | spate |
Website intelligence — Collected evidence
Customers, testimonials, and first-party review claims
| Page type | Evidence | Source |
|---|---|---|
| reviews | ](https://app.spate.nyc/) | https://www.spate.nyc/blog/what-makeup-brands-can-learn-from-reddits-most-honest-reviews |
| reviews | What Makeup Brands Can Learn From Reddit's Most Honest Reviews | https://www.spate.nyc/blog/what-makeup-brands-can-learn-from-reddits-most-honest-reviews |
| reviews | Somewhere between a five-star Amazon review and a glowing TikTok tutorial sits the truth about how a product actually performs, and a lot of that truth lives on Reddit. Nobody's getting paid to post there. People end up on these threads because they've got a real problem to solve, they're hunting for a shade that actually matches, or they just need to vent about a formula that changed on them without warning. Spate looked at 280,000 makeup-related Reddit threads to see what that kind of honesty actually looks like once you scale it up. | https://www.spate.nyc/blog/what-makeup-brands-can-learn-from-reddits-most-honest-reviews |
| reviews | This article gets into why Reddit reads so differently from other feedback channels, which communities are actually worth watching, what "honest" looks like once you dig into it, and how makeup brands can tap into that feedback loop without coming across as intrusive. | https://www.spate.nyc/blog/what-makeup-brands-can-learn-from-reddits-most-honest-reviews |
| reviews | Why Reddit Reviews Read Differently Than Anywhere Else | https://www.spate.nyc/blog/what-makeup-brands-can-learn-from-reddits-most-honest-reviews |
| reviews | Reddit somehow pulls double duty. Focus group and data set, at the same time, which is rare. The focus group part is obvious once you're in there: raw complaints, things nobody asked for, coming from people who had no reason to say anything at all. The data set part is less obvious, but it's there too, all those mentions and upvotes piling up over months until a random complaint starts looking like an actual pattern. | https://www.spate.nyc/blog/what-makeup-brands-can-learn-from-reddits-most-honest-reviews |
| reviews | A lot of that comes down to anonymity, honestly. Nobody's face is attached to their username. No brand deal riding on it either. So when someone types out three paragraphs about a foundation pilling on their nose, or a blush that used to look one way and now looks completely different, they're not performing, but rather just trying to help someone, or vent, or both. | https://www.spate.nyc/blog/what-makeup-brands-can-learn-from-reddits-most-honest-reviews |
| reviews | Reformulations are where this really shows. People don't just say "this changed." They screenshot the old shade next to the new one. They name the brand. They ask, sometimes pretty bluntly, why nobody told them. This kind of detail rarely turns up anywhere else, which is exactly why a five-star rating with no comment misses so much of the picture. | https://www.spate.nyc/blog/what-makeup-brands-can-learn-from-reddits-most-honest-reviews |
| reviews | Inside the Makeup Communities Worth Watching | https://www.spate.nyc/blog/what-makeup-brands-can-learn-from-reddits-most-honest-reviews |
| reviews | Not every corner of Reddit serves the same purpose for a brand trying to listen. The tone, the intent, and the kind of feedback that surfaces shift depending on where the conversation is happening. | https://www.spate.nyc/blog/what-makeup-brands-can-learn-from-reddits-most-honest-reviews |
| reviews | \ | Focus Area \ |
| reviews | \ | --- \ |
| reviews | \ | Creative looks, technique, artistic expression \ |
| reviews | \ | Formula performance, shade matching, reformulations \ |
| reviews | \ | Skill-building, personal style, occasion-specific looks \ |
| reviews | What ties these together is that Reddit functions as an educational hub as much as a review site. Consumers turn to it to learn by doing, lean on peer reviews to refine their routines, and figure out whether a better-suited product exists before they spend money finding out the hard way. | https://www.spate.nyc/blog/what-makeup-brands-can-learn-from-reddits-most-honest-reviews |
| reviews | What "Honest" Actually Means: Dupe Threads, Panning Posts, and Repurchase Talk | https://www.spate.nyc/blog/what-makeup-brands-can-learn-from-reddits-most-honest-reviews |
| reviews | "Honest" on Reddit isn't a vibe; it shows up in specific, recurring patterns of conversation. Dupe threads are one of the clearest examples: consumers actively comparing a prestige product against a drugstore alternative, discussing not just price but whether the cheaper option genuinely performs the same. Foundation conversations are full of this, users recommending both products and dupes in the same breath while working through which formula actually avoids a cakey finish on their specific skin type. | https://www.spate.nyc/blog/what-makeup-brands-can-learn-from-reddits-most-honest-reviews |
| reviews | Panning posts and reformulation call-outs work the same way. When a product that people genuinely love changes shade, texture, or the whole formula, Reddit complains and documents it. Take the NARS Orgasm blush reformulation. People are posting detailed, specific reviews about what's different now, and a lot of them are directly asking NARS to update the marketing since the color on the page doesn't match what actually ships anymore. | https://www.spate.nyc/blog/what-makeup-brands-can-learn-from-reddits-most-honest-reviews |
| reviews | There's another kind of honesty running through the repurchase threads too: the "would you actually buy this again" posts. A product showing up again and again in those threads means more than one glowing first review ever could, because it's people confirming they stuck with something after the initial excitement wore off. Flip that around, and you get the nostalgia posts, people missing a product that got discontinued, or mourning "the old formula" of something still technically on shelves. Either way, brands get a pretty clear read on what gap they've left behind. | https://www.spate.nyc/blog/what-makeup-brands-can-learn-from-reddits-most-honest-reviews |
Independent review sources discovered
No links to supported independent review platforms were discovered on the collected pages.
Website intelligence — Scout synthesis
- First-party claims: Spate positions itself as a leading CPG trend forecasting tool, with a focus on AI-powered insights and predictive accuracy W5W29W99. It claims to provide competitive benchmarking and whitespace analysis to help brands gain a competitive edge W123W219.
- Scout inference: The competitive landscape includes other market research and trend analysis platforms, but Spate differentiates through its use of social and search data from TikTok, Instagram, Reddit, and Google Search W6W30W56W67.
Backlink profile
Authority and referring-domain signals.
Backlink comparison profile
- Domain rating: 52/100
- Backlinks: 5,257
- Referring domains: 1,890
- Dofollow backlinks: 55.0%
- Dofollow referring domains: 38.0%
| Source DR | Source title | Anchor | Source URL | Target URL |
|---|---|---|---|---|
| 87 | What Exactly Is Oud? Everything You Need to Know About the Popular Fragrance Note \ | Allure | Spate | https://www.allure.com/story/what-is-oud-fragrance |
| 81 | Glossy Pop Newsletter: How the Aritzia Super Puff became the cool girl puffer - Glossy | Spate’s | https://www.glossy.co/fashion/glossy-pop-newsletter-how-the-aritzia-super-puff-became-the-cool-girl-puffer/ | https://www.spate.nyc/ |
| 86 | Butterfly Haircut Ideas for Instant 'Rom-Com Hair' \ | Glamour | Spate | https://www.glamour.com/story/butterfly-cut-hair-trend |
| 91 | Medicube PDRN Pink Peptide Serum Review: A Vogue Writer’s Honest Thoughts on the Viral Korean Serum \ | Vogue | Spate | https://www.vogue.com/article/medicube-pdrn-serum-review |
| 43 | MakeUp Paris 2026 : Salon Skincare, MakeUp & Innovations Beauté | Spate | https://www.makeup-in-paris.com/fr/ | https://www.spate.nyc/ |
| 47 | Makeup in NewYork: Beauty Trade Shows 2026 | Spate | https://www.makeup-in-newyork.com/ | https://www.spate.nyc/ |
| 84 | 10 Best Cinnamon Perfumes, According to Fragrance Experts \ | Marie Claire | Spate's | https://www.marieclaire.com/beauty/fragrance/best-cinnamon-perfumes/ |
| 57 | Kima Ventures - Our awesome family | Spate We use data science to predict the next big consumer trend. | https://www.kimaventures.com/portfolio | https://www.spate.nyc/ |
| 81 | Ces 20 brumes parfumées, légères et gourmandes, vont remplacer votre parfum cet été - Femmeactuelle.fr | 2026 FRAGRANCE REPORT / Spate x World Perfumery Congress | https://www.femmeactuelle.fr/beaute/parfums/ces-20-brumes-parfumees-legeres-et-gourmandes-vont-remplacer-votre-parfum-cet-ete-2208185 | https://www.spate.nyc/reports/spate-x-world-perfumery-congress-2026-fragrance-report |
| 87 | How to Care for a Shaved Head | via market research platform Spate | https://www.menshealth.com/grooming/a71312139/how-to-care-for-bald-head/ | https://www.spate.nyc/reports/2026-whitespace-opportunities-beauty-signals-on-google-and-tiktok |
Collection decision
The Scout search index remains intentionally excluded from automatic Scout analysis. This Scout traffic model profile costs 5 credits (0.5 cents) and is included in the first comparison run so its usefulness can be judged before the recurring collection is finalized.
AI visibility
Measured ChatGPT and Google AI mentions with cited sources.
AI-assistant referral traffic
- Estimated current generative-AI referral share: 1.6%
| Month | Traffic share | Source |
|---|---|---|
| — | — | All AI assistants |
Website intelligence — Collected evidence
Site-stated AI capabilities
| Page type | Evidence | Source |
|---|---|---|
| other | Leverage AI-powered trend forecasting for beauty, wellness, personal care and food brands. Spate predicts consumer trends with unmatched accuracy. | https://www.spate.nyc/ |
| other | Leverage AI-powered trend forecasting for beauty, wellness, personal care and food brands. Spate predicts consumer trends with unmatched accuracy. | https://www.spate.nyc/ |
| other | Leverage Spate’s AI-powered market research platform to uncover emerging trends and guide forward-looking decisions with proven accuracy. | https://www.spate.nyc/ |
| other | Leverage Spate’s AI-powered market research platform to uncover emerging trends and guide forward-looking decisions with proven accuracy. | https://www.spate.nyc/ |
| features | AI-Powered Market Research Platform for Consumer Trends | https://www.spate.nyc/solutions-overview |
| features | Spate analyzes trillions of search and social signals to uncover emerging trends, enabling brands to refine marketing strategies, marketing campaigns, and content strategy while gaining a competitive edge. As an AI-powered market intelligence platform, Spate helps teams innovate with confidence using timely insights and advanced data analysis. | https://www.spate.nyc/solutions-overview |
| features | AI Built Into Every Step | https://www.spate.nyc/solutions-overview |
| features | The Spate Dashboard helps brands spot what’s next — before it hits the shelves. From early signals to long-term shifts, Spate uncovers insights that enable organizations to anticipate change, move quickly, and make confident, data-driven decisions. Ask Spate AI where a trend is headed, or save the full forecast as a report with Report Builder. | https://www.spate.nyc/features/accurate-trend-prediction |
| features | AI identifies changes in behavior, like how people are searching for information, how they are participating in social media, and how they are buying things online. It does this by identifying patterns. | https://www.spate.nyc/features/accurate-trend-prediction |
| features | AI-Powered Market Research Platform for Consumer Trends | https://www.spate.nyc/solutions-overview |
| features | Spate analyzes trillions of search and social signals to uncover emerging trends, enabling brands to refine marketing strategies, marketing campaigns, and content strategy while gaining a competitive edge. As an AI-powered market intelligence platform, Spate helps teams innovate with confidence using timely insights and advanced data analysis. | https://www.spate.nyc/solutions-overview |
| features | Identify business opportunities and customer needs using AI insights | https://www.spate.nyc/solutions-overview |
| features | Accurate Consumer Trend Forecasting & Trend Analysis with AI-Powered Insights | https://www.spate.nyc/features/accurate-trend-prediction |
| features | By analyzing trillions of signals across Google Search, TikTok, Reddit and Instagram, Spate’s proprietary AI models deliver industry-leading trend forecasting and deep trend analysis to predict future consumer behavior and market shifts — with a proven accuracy rate of 72%. | https://www.spate.nyc/features/accurate-trend-prediction |
| features | The Spate Dashboard helps brands spot what’s next — before it hits the shelves. From early signals to long-term shifts, Spate uncovers insights that enable organizations to anticipate change, move quickly, and make confident, data-driven decisions. Ask Spate AI where a trend is headed, or save the full forecast as a report with Report Builder. | https://www.spate.nyc/features/accurate-trend-prediction |
| pricing | The real problem at Q4 for hair care brands is figuring out which data actually matters. Every brand can pull last year's numbers. However, most know by now that copying last year's plan is a losing move, especially with how AI has made everyone a little more data-savvy and skeptical of anything that looks recycled. | https://www.spate.nyc/blog/the-hair-care-trends-brands-need-on-their-q4-roadmap-according-to-the-data |
These are first-party product claims, not independent measurements of AI-search visibility.
Website intelligence — Scout synthesis
- First-party claims: Spate's platform is AI-powered, using proprietary predictive algorithms to analyze data from Google Search, TikTok, Reddit, and Instagram W3W27W56W99. It offers an AI assistant (Spate AI) and an AI-powered Report Builder W113W140W159W183W209W230.
- Scout inference: The site's content is optimized for AI-related keywords, which may help it appear in AI-generated answers for queries about trend forecasting and market intelligence W1W98W122W170W218.
Marketing opportunities
Actions calculated directly from the collected evidence.
| Opportunity | Recommended action | Evidence |
|---|---|---|
| Striking-distance keyword | Move “whitespace opportunity” from position 5 toward the top three. | Volume 260 · https://www.spate.nyc/features/whitespace-opportunities |
| Important page | Strengthen the page already earning search visibility before creating an unrelated page. | https://www.spate.nyc/features/whitespace-opportunities · 1 sampled keywords · best position 5 |
| Competitor gap | Review the sampled queries where youtube.com appears. | 2 first-page appearances across spate, fragrance trends |
Website intelligence — Collected evidence
Website evidence gaps
- integrations: no usable public page was collected; verify whether the site publishes this evidence.
- customers: no usable public page was collected; verify whether the site publishes this evidence.
- changes: no usable public page was collected; verify whether the site publishes this evidence.
- identity: no usable public page was collected; verify whether the site publishes this evidence.
- technical: no usable public page was collected; verify whether the site publishes this evidence.
Website intelligence — Scout synthesis
- First-party claims: Spate offers a free trial and custom alerts, which can be used to capture leads W7W31. The platform provides a self-serve dashboard, making it easy for potential customers to explore data W6W30.
- Scout inference: The blog post on predictive analytics for CPG product innovation can be leveraged for SEO and thought leadership, attracting organic traffic from brands interested in product innovation W73W74W75.
- First-party claims: Spate's enterprise solutions include custom reporting, workshops, and API access, which can be marketed to larger organizations W150W151W152.
Trust and proof
Customers, proof, and reviews
Published proof, customer signals, and review evidence.
Independent reviews
| Platform | Page | How it was found | Note |
|---|---|---|---|
| FeaturedCustomers | 23 Spate Customer Reviews & References / FeaturedCustomers | Grounded web search | Read 12 Spate reviews and testimonials from customers, explore 11 case studies and customer success stories, and watch customer videos to see why companies chose Spate as their Market Research Software ... Customer Rating Review Score based on 205 reference ratings 4.7/5.0 (205) |
| Buyersprove | spate.nyc Reviews - Check out reviews of spate.nyc customers on Buyersprove | Grounded web search | Spate's intuitive dashboard allows brands to uncover emerging trends across TikTok, Instagram, and Google Search. By providing data ... offers customizable tools to stay ahead of market trends and identify untapped opportunities before they peak. Trusted |
| FoodNavigator | Spate brings the speed of machine intelligence to trendspotting in food, beverage | Grounded web search | ## Two former Google researchers, who helped write the algorithm for trendspotting using queries from the search engine, are using their knowhow to empower product developers to ... The platform, which proved its bonafides by helping the fashion industry stay ahead of trends since the company launched in 2018, uses AI and big data pulled from Google searches and TikTok to predict the next big consumer trend with an easy-to-use dashboard that shows which consumer interests are up or down and whic |
Customer proof
| Proof type | Named customer or source | Evidence |
|---|---|---|
| Case study | Sakara Life | customer case study — # Spate x Sakara: Enhancing Innovation Pipelines Sakara Life leveraged Spate data to proactively identify emerging trends, enabling them to confidently shape their upcoming product launches. (Sakara Life Case Study / Spate) |
| Case study | spate.nyc | customer case study — By surfacing timely search and social insights, Spate enables L’Oréal and its partners to spot growth areas as they unfold. (L'Oréal Case Study / Spate) |
| Case study | casestudies.com | customer case study — Kendo Brands, a beauty company under the LVMH umbrella, needed to identify emerging consumer trends to drive product innovation and align with customer expectations. (Case Study: Kendo Brands strengthens beauty trend-driven innovation with Spate / CaseStudies.com) |
Independent mentions
- Best AI Market Research & Consumer Trend Forecasting Tool / Spate — ## Spate is the Leading CPG Trend Forecasting Tool for Beauty, Wellness, and Food & Beverage Brands ... Uncover consumer trends across TikTok, Instagram, Reddit and Google Search with an intuitive, self-serve dashboard — powering data-backed product development, competitive advantage, and revenue growth.
- Customer Case Studies & Success Stories / Spate — Discover how leading brands are using Spate’s AI-powered insights to drive growth and innovation. Through real-world case studies, see how data-driven strategies have translated into measurable wins — from breakthrough product launches to sharper marketing campaigns.
- Trend Forecasting & Trend Analysis with AI Consumer Insights / Spate — Trend Forecasting & Trend Analysis with AI Consumer Insights / Spate ... By analyzing trillions of signals across Google Search, TikTok, Reddit and Instagram, Spate’s proprietary AI models deliver industry-leading trend forecasting and deep trend analysis to predict future consumer behavior and market shifts — with a proven accuracy rate of 72%.
- About Spate: Trend Intelligence for Consumer Brands — grown into a leading trend intelligence platform, built for consumer brands across the beauty, wellness, and food and beverage industries. We’re proud to offer a best-in-class solution that delivers reliable, predictive insights — helping brands around
External links were grounded in one live web search. Search snippets are leads, not independently scraped page content; rejected links remain available in Review evidence.
Company, security, and trust
Ownership, policies, security signals, and public trust evidence.
| Signal | Finding | Source |
|---|---|---|
| Company and ownership | Spate is a Y Combinator-backed company founded by two former Googlers, Yarden Horwitz and Olivier Zimmer — the team behind Google’s Trendspotting division. They identified now-mainstream trends like face masks, turmeric, | source |
| Contact and support | Not published on the collected pages. | — |
| Legal and privacy | This website uses cookies and other tracking technologies to enhance user experience and to analyze performance and traffic on our website. We also share information about your use of our site with our social media, adve | source |
| Security and compliance | Not published on the collected pages. | — |
| Uptime and status page | Not published on the collected pages. | — |
| Domain registered | 2018-01-03 | — |
| Domain expires | 2027-01-03 | — |
Not found on the collected pages: contact and support, security and compliance, uptime and status page. This only means Scout did not find it on the pages it read; it says nothing about the company itself.
Documentation and product updates
Help resources, product guidance, and visible changes over time.
| Resource or update | Type | What is available | Date or freshness |
|---|---|---|---|
| Q4 Hair Care Trends: What the Data Says to Plan Around / Spate | Roadmap | Scalp care is the new skincare. Explore the hair care trends gaining ground on Google and TikTok, and how brands can plan content and launches for Q4. (source) | Not dated |
Not found in the collected public sources: changelog or release notes, status page, separate help center or knowledge base.
Technical
Technical and delivery signals
Delivery model, platforms, API, data ownership, reliability claims and release activity.
| Signal | Finding | Source |
|---|---|---|
| Delivery model (cloud, self-hosted, desktop, browser extension) | Spate is a web-based platform with a self-serve dashboard S108. | S108 |
| Platforms and apps | Accessible via web browser S108. | S108 |
| API and extensibility (API, SDK, webhooks, MCP, plugins) | Spate offers an API for integrating data into internal systems S1 S13. | S1 S13 |
| Data ownership and export | Data is aggregated and anonymized; reports export to PowerPoint S6 S136. | S6 S136 |
| Performance and reliability claims | Not published on the collected pages. | — |
| Release activity | Weekly data updates for top social content S6. | S6 |
Measured infrastructure
Domain, certificate, and hosting signals, measured directly.
| Signal | Finding |
|---|---|
| Domain registered | 2018-01-03 — GoDaddy.com, LLC |
| Domain expires | 2027-01-03 |
| First archived | 2018-08-21 — web archive |
| TLS certificate | Google Trust Services, valid, expires 2026-12-24 |
| Security headers | HSTS, CSP, X-Frame-Options |
| Headers not served | X-Content-Type-Options, Referrer-Policy |
| Server header | cloudflare |
| Mail handled by | aspmx.l.google.com, alt1.aspmx.l.google.com |
| Nameservers | ns70.domaincontrol.com, ns69.domaincontrol.com |
Technical site audit
A bounded multi-page crawl with page-level issues and URLs.
Scout — Bounded technical crawl
- Pages crawled: 15 of 15 maximum
- Technical health: 98/100
- Critical issues: 0
- Warnings: 6
- Notices: 0
Issues
| Severity | Issue | Value | Affected URL |
|---|---|---|---|
| warning | Title length should be reviewed | 68 | https://www.spate.nyc/features/accurate-trend-prediction |
| warning | Title length should be reviewed | 66 | https://www.spate.nyc/features/enterprise-solutions |
| warning | Duplicate title in audit sample | 2 | https://www.spate.nyc/ |
| warning | Duplicate title in audit sample | 2 | https://www.spate.nyc/ |
| warning | Duplicate meta description in audit sample | 2 | https://www.spate.nyc/ |
| warning | Duplicate meta description in audit sample | 2 | https://www.spate.nyc/ |
Crawled pages
| Status | Title | H1s | Words | Response | URL |
|---|---|---|---|---|---|
| 200 | Best AI Market Research & Consumer Trend Forecasting Tool \ | Spate | 1 | 904 | 99 ms |
| 200 | Best AI Market Research & Consumer Trend Forecasting Tool \ | Spate | 1 | 904 | 51 ms |
| 200 | Market Intelligence Solutions for Every Team \ | Spate | 1 | 1000 | 24 ms |
| 200 | Trend Forecasting & Trend Analysis with AI Consumer Insights \ | Spate | 1 | 881 | 28 ms |
| 200 | Platform for competitive Benchmarking & Brand Analysis \ | Spate | 1 | 711 | 30 ms |
| 200 | Trend Growth Drivers & Consumer Insights Platform \ | Spate | 1 | 752 | 29 ms |
| 200 | Consumer Social Content & Influencers Tracking Platform\ | Spate | 1 | 822 | 36 ms |
| 200 | Consumer Whitespace Opportunities & Market Gaps Tool \ | Spate | 1 | 715 | 20 ms |
| 200 | Enterprise Consumer Market Intelligence Solutions Platform \ | Spate | 1 | 850 | 31 ms |
| 200 | AI Beauty Trend Forecasting & Consumer Insights Tool \ | Spate | 1 | 1508 | 155 ms |
| 200 | Wellness Industry Trend Forecasting Platform \ | Spate | 1 | 1471 | 41 ms |
| 200 | AI Food & Beverage Trend Insights for Brands \ | Spate | 1 | 1397 | 84 ms |
| 200 | Consumer Trends Blog: Beauty, Food & Wellness Insights \ | Spate | 1 | 1699 | 33 ms |
| 200 | Customer Case Studies & Success Stories \ | Spate | 1 | 508 | 149 ms |
| 200 | Spate in the News: Consumer Trends Media Coverage | 1 | 386 | 83 ms | https://www.spate.nyc/resources/media-mentions |
This is a bounded Scout crawl. Core Web Vitals and Lighthouse scores are not claimed unless a dedicated performance audit is connected.
Search Console and Analytics
First-party search and behavioral data connection state.
Modeled acquisition channels
| Channel | Estimated share |
|---|---|
| direct | 40.1% |
| search | 33.6% |
| search organic | 32.0% |
| search paid | 1.6% |
| social | 6.2% |
| social organic | 5.5% |
| social paid | 0.7% |
| referrals | 10.4% |
| paid referrals | 3.1% |
| 3.1% | |
| gen ai | 1.6% |
| affiliate | 1.9% |
| other | 0.0% |
First-party connections
| Integration | Status | Data available after connection |
|---|---|---|
| Google Search Console | Not connected | Clicks, impressions, CTR, average position, queries, pages, countries, and devices |
| Google Analytics | Not connected | Organic sessions, engagement, landing pages, conversions, geography, and devices |
No first-party Search Console or Analytics numbers are shown until the site owner authorizes the corresponding Google account. Scout traffic model values above are modeled estimates, not private analytics totals.
Limits and method
Limitations and open questions
Known constraints and missing evidence from the collected pages.
The collected pages do not mention specific competitors. Pricing details are limited to contact sales, with no published price points. Customer reviews are limited to case studies and mentions; independent review profiles were not collected. The platform's data sources are described as Google Search, TikTok, Reddit, and Instagram, but the depth of coverage and update frequency for each is not fully specified.
Sources, method, and limitations
Evidence inventory, collection method, provider use, and constraints.
This report is based on 15 collected pages from spate.nyc, including product features, company information, case studies, and legal/security pages. The evidence catalog includes 176 entries, with sources cited as S1–S176. External proof search was enabled but only verified the existence of linked results; no external review content was collected. Pricing information is derived from the authoritative pricing table on the homepage S108.
- Official Websitehttps://www.spate.nyc/Verified
- Official Websitehttps://www.spate.nyc/companyVerified
- Official Websitehttps://www.spate.nyc/features/top-social-contentVerified
- Official Websitehttps://www.spate.nyc/features/enterprise-solutionsVerified
- Official Websitehttps://www.spate.nyc/features/trend-growth-driversVerified
- Official Websitehttps://www.spate.nyc/solutions-overviewVerified
- Official Websitehttps://www.spate.nyc/blog/predictive-analytics-product-innovation-cpgVerified
- Official Websitehttps://www.spate.nyc/features/accurate-trend-predictionVerified
- Official Websitehttps://www.spate.nyc/features/competitive-benchmarkingVerified
- Official Websitehttps://www.spate.nyc/features/whitespace-opportunitiesVerified
- Official Websitehttps://www.spate.nyc/blog/what-makeup-brands-can-learn-from-reddits-most-honest-reviewsVerified
- Official Websitehttps://www.spate.nyc/reports/2025-year-in-review-brands-that-won-beautyVerified
- Pricing Pagehttps://www.spate.nyc/blog/the-hair-care-trends-brands-need-on-their-q4-roadmap-according-to-the-dataVerified
- Official Websitehttps://www.spate.nyc/privacy-policyVerified
- Official Websitehttps://www.spate.nyc/security-at-spateVerified
- Review Sitehttps://www.featuredcustomers.com/vendor/spateVerified
- Articlehttps://www.spate.nyc/case-studies/spate-innovation-pipeline-sakaraVerified
- Review Sitehttps://buyersprove.com/review/spate.nyc/Verified
- Review Sitehttps://www.foodnavigator.com/Article/2024/05/30/spate-brings-the-speed-of-machine-intelligence-to-trendspotting-in-food-beverage/Verified
- Articlehttps://www.spate.nyc/resources/case-studiesVerified
- Articlehttps://www.spate.nyc/case-studies/spate-x-loreal-using-trends-to-capitalize-on-new-and-existing-opportunitiesVerified
- Articlehttps://www.casestudies.com/company/spate/case-study/302c-kendo-brands-customer-case-studyVerified