Small businessgoneNot named this edition; 0% in September 2026.
0%from 0% in September 2026
Inside the floor by 11 pointsNot ranked
5 categories · RankedSnowplow
32Judge labels
1First choices
7Negative labels
12 / 14Models named it
5Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Best standing
0% in Web analytics for enterprise buyers
Rank 46 of 142 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 0% of its 2 labels there were negative.
By buyer segmentRead the same way at every buyer size.
Small businessnot named
0%
No model named it for this buyer.
Mid-market46 of 142
0%2 labels
under the label threshold
Enterprise45 of 143
0%2 labels
under the label threshold
In customer intel · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named Snowplow for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Customer intelligence and data science | GTM data and infrastructure | 0% | 46 of 142 | 0% | 2 | under 10 labels · led by Amplitude at 18% | newNew since September 2026: not ranked then, 0% now. |
| Customer data platforms | GTM data and infrastructure | 0% | 54 of 61 | 0% | 1 | under 10 labels · led by Segment at 49% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Data warehouse and reverse ETL for marketing | GTM data and infrastructure | 0% | 54 of 83 | 0% | 1 | under 10 labels · led by Hightouch at 40% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Identity resolution | GTM data and infrastructure | 0% | 97 of 140 | 0% | 1 | under 10 labels · led by Hightouch Adaptive Identity Resolution at 12% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Product analytics | GTM data and infrastructure | 0% | 24 of 40 | 0% | 1 | under 10 labels · led by Amplitude Analytics at 34% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Snowplow held within the floor in all five categories: no change cleared 11 points.
Best category · Customer intel · by segment
Mid-marketnewNew since September 2026: not ranked then, 0% now.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 42 of 133, unchanged
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 112 → 46 of 134
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Customer intel | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 46 of 142, unchanged |
| CDP | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 35 → 54 of 61 |
| Warehouse & ETL | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 73 → 54 of 83 |
| Identity | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 116 → 97 of 140 |
| Product analytics | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 31 → 24 of 40 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Snowplow across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Snowplow across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 1 | 0 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 2 | 1 | 0 | 3 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
By framing
Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct2 labelsNone
Paraphrase2 labelsNone
Comparative7 labelsNone
Budget-constrained6 labels1
Scale-constrained3 labelsNone
Negative12 labelsNone
First choiceAlternativeMentionNegative32 labels in all, every segment counted; 1 of the 1 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.
What the models said for it
Verbatim evidence the judge attached to positive labels.
“building a custom pipeline using RudderStack or Snowplow” Qwen 3.7 Flash · Customer intel · paraphrase prompt · alternative
“Snowplow Analytics (for enterprise-grade managed instances)” Qwen 3.7 Flash · Customer intel · negative prompt · alternative
“Warehouse-native, full data ownership, compliance-friendly” Kimi K2 · Product analytics · negative prompt · alternative
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
No model argued against it.
Named alongside
The products named in the same answers as Snowplow, over the 32 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Snowplow was named but was not.ShowHide
Named alongside
The products named in the same answers as Snowplow, over the 32 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Snowplow was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.
What carried it into the answer
The sites and pages cited by the answers that named Snowplow. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 28 of the 32 answers that named Snowplow and are not a share of its labels.
Domains cited
matomo.org11
g2.com9
improvado.io9
piwik.pro9
snowplow.ioYour site8
linkedin.com7
amplitude.com6
statsig.com6
usermaven.com6
cdp.com5
Sixty-eight of the seventy-six domain citations in answers naming Snowplow came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
snowplow.io is not in Google's top ten for any of the category's searches. In the answers, Snowplow takes 0% of first choices and Amplitude takes 18%.ShowHide
Search and answers
snowplow.io is not in Google's top ten for any of the category's searches. In the answers, Snowplow takes 0% of first choices and Amplitude takes 18%.
ShowHideIn search
Google, US estimatesPosition for “customer analytics and intelligence platform”
–
not in the top ten
Position for “best customer analytics and intelligence platform”
–
not in the top ten
- Searches for its name, Google
- 49,500 a month (“snowplow”)
- AI search demand for its name, est.
- 2,183 a month
- Organic visits to its site
- about 18,927 a month
- Searches its site ranks for
- 832 · 52 in the top three
- Sites linking to it
- 13,184
- Paid Google search
- 1 searches its ads show for, about 3 clicks and $0 a month (estimate)
In answers
This editionShare of first choices
0%
rank 46 of 142 in customer intel
Segment leader
18%
Amplitude
- First choices
- 1 across its categories
- Named in
- 32 answers
- Its own site cited
- in 28 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on snowplow.io
2,343
subdomains included
Content
772
counted in the table below
Documentation
1,078
Product · Integration
25 · 8
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 371 | 18 | 2026-08-29 | Product analytics, CDP | |
| Podcast or video | 121 | undated | CDP, Product analytics | ||
| Conference or event | 112 | 0 | 2026-06-25 | CDP, Product analytics | |
| Comparison | 67 | 1 | 2026-08-20 | CDP, Identity | |
| Glossary or explainer | 56 | 2 | 2026-08-20 | CDP, Enrichment | |
| Case study | 37 | undated | |||
| Webinar or virtual event | 6 | undated | |||
| Report or ebook | 1 | undated | Product analytics | ||
| News or press | 1 | 0 | 2025-11-05 |
Most recent
- 2026-08-29Should you renew your cdp blog
- 2026-08-26Snowplow achieves iso 42001 certification blog
- 2026-08-20Best open source analytics tools blog
- 2026-08-20Cookieless and anonymous tracking with snowplow blog
- 2026-08-20Data discovery blog
- 2026-08-20Data models for your user journey blog
How it is countedHide how it is counted
Every page snowplow.io exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
Names read as Snowplow
What the judge wrote, as written, with how often. The vendor table decides that these count as Snowplow; a claim can dispute any of them.
Snowplow Analytics 1
Follow Snowplow
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
Snowplow is its own company.ShowHide
The company
Snowplow is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- Customer Context Layer; the real-time context layer your entire AI stack needs to make customer behavior your sharpest signal.
- For
- Data teams, product and engineering teams, and teams building AI agents, advanced analytics, personalization, and fraud detection.
- Price stated
- Flexible pricing scales with your business needs. Depending on what you choose, our rates are based on monthly event volume, hosting preferences, consumption, or destinations—you only pay for what you use. Contact us to find your ideal plan. snowplow.io/pricing
- Starting price
- 0 snowplow.io/pricing
- Free plan or trial
- Start for Free snowplow.io
- Customers named
- HelloFreshTransaviaEngel & VölkersSupercellStravaBurberryCondé NastSamsung
- Not stated on the pages read
- Integrations, certifications, hosting
What Snowplow's own pages state, read October 5, 2026: snowplow.io, snowplow.io/pricing, trust.snowplow.io, snowplow.io/use-cases/lead-scoring, snowplow.io/customers. A claimed page can correct any of them.
Is this your product?
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Snowplow's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Snowplow, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Snowplow by email, built from the raw record of the edition. It shows:
- where Snowplow is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Snowplow, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.