Small business▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 0% in September 2026
Inside the floor by 9 pointsRank 65 → 14 of 65
Rokt · 6 categories · RankedmParticle
107Judge labels
1First choices
38Negative labels
14 / 14Models named it
6Categories
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
2% in CDP for small business buyers
Rank 15 of 61 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 20% of its 20 labels there were negative.
What the models named instead of mParticle →By buyer segmentRead the same way at every buyer size.
Small business14 of 78
2%12 labels
criticized challenger
Mid-market15 of 61
0%20 labels
accepted challenger
Enterprise52 of 52
0%21 labels
criticized challenger
In cdp · 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 mParticle 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 data platforms | GTM data and infrastructure | 0% | 15 of 61 | 20% | 20 | accepted challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Data management platforms | GTM data and infrastructure | 0% | 27 of 159 | 0% | 8 | under 10 labels · led by Segment at 37% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Customer intelligence and data science | GTM data and infrastructure | 0% | 141 of 142 | 50% | 4 | under 10 labels · led by Amplitude at 18% | ▼−2Since September 2026: 2% → 0%, −2 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% | 68 of 83 | 50% | 2 | 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. |
| Audience and consumer insights platforms | Marketing | 0% | 130 of 155 | 0% | 1 | under 10 labels · led by SparkToro at 19% | |
| Tag management | GTM data and infrastructure | 0% | 54 of 67 | 0% | 1 | under 10 labels · led by Google Tag Manager at 81% | =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, mParticle held within the floor in all six categories: no change cleared 11 points.
Best category · CDP · by segment
Mid-market=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 15 → 18 of 57
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 55 → 49 of 49
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Customer intel | 2% | 0% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 27 → 141 of 142 |
| DMP | 2% | 0% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 21 → 27 of 159 |
| 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 15 of 61, unchanged |
| 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 30 → 68 of 83 |
| Audience insights | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 130 of 155, unchanged |
| Tag management | 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 27 → 54 of 67 |
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 mParticle 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 mParticle 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 | 2 | 1 | 3 |
| GPT-5.4 mini | 0 | 1 | 1 | 0 | 2 |
| Gemini 3.5 Flash | 0 | 0 | 3 | 1 | 4 |
| Perplexity Sonar | 0 | 0 | 0 | 1 | 1 |
| Grok 4.1 Fast | 0 | 1 | 2 | 0 | 3 |
| Mistral Small | 0 | 0 | 2 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 3 | 1 | 1 | 5 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 1 | 1 | 3 |
| Kimi K2 | 0 | 1 | 4 | 2 | 7 |
| GLM 4.7 FlashX | 0 | 0 | 2 | 0 | 2 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 0 | 2 | 0 | 2 |
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
Direct8 labelsNone
Paraphrase11 labels1
Comparative17 labelsNone
Budget-constrained12 labelsNone
Scale-constrained32 labelsNone
Negative27 labelsNone
First choiceAlternativeMentionNegative107 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.
“mParticle | Mobile-first, gaming/e-commerce specialization | Mobile app is core channel; need robust SDKs” Kimi K2 · CDP · scale prompt · alternative
“Alternatives: Tealium or mParticle for more transparent pricing.” Grok 4.1 Fast · CDP · negative prompt · alternative
“Best if you want more "traditional CDP" capabilities: mParticle” GPT-5.4 mini · CDP · paraphrase prompt · alternative
“Best-in-class for mobile app data collection and hygiene” DeepSeek V4 Flash · CDP · comparative 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.
“Don't purchase a full Customer Data Platform (CDP) like Twilio Segment or mParticle” Qwen 3.7 Flash · Customer intel · budget prompt · hard negative
“Traditional CDPs (Segment, mParticle) as Warehouse Replacements — The trap” Kimi K2 · Warehouse & ETL · negative prompt · hard negative
“such as Segment, mParticle, Tealium, and Simon Data if you need custom, warehouse-native identity resolution, multi-entity modeling, or full control over the source of truth.” Perplexity Sonar · CDP · negative prompt · soft negative
“Solid technology but expensive and technical—better for enterprises with dedicated data engineering teams.” Kimi K2 · CDP · negative prompt · soft negative
Named alongside
The products named in the same answers as mParticle, over the 107 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and mParticle was named but was not.ShowHide
Named alongside
The products named in the same answers as mParticle, over the 107 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and mParticle 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 mParticle. 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 84 of the 107 answers that named mParticle and are not a share of its labels.
Domains cited
cdp.com49
g2.com28
improvado.io28
brevo.com27
resources.rework.com26
elogic.co22
hightouch.com20
nvecta.com20
decentriq.com18
gartner.com18
256 of the 256 domain citations in answers naming mParticle came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
mparticle.com is not in Google's top ten for any of the category's searches. In the answers, mParticle takes 0% of first choices and Segment takes 49%.ShowHide
Search and answers
mparticle.com is not in Google's top ten for any of the category's searches. In the answers, mParticle takes 0% of first choices and Segment takes 49%.
ShowHideIn search
Google, US estimatesPosition for “customer data platform”
–
not in the top ten
Position for “best customer data platform”
–
not in the top ten
- Searches for its name, Google
- 1,300 a month (“mparticle”)
- AI search demand for its name, est.
- 30 a month
- Organic visits to its site
- about 27,902 a month
- Searches its site ranks for
- 1,233 · 86 in the top three
- Sites linking to it
- 2,438
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
0%
rank 15 of 61 in CDP
Segment leader
49%
Segment
- First choices
- 1 across its categories
- Named in
- 107 answers
- Its own site cited
- in 84 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 mparticle.com
1,586
subdomains included
Content
591
counted in the table below
Documentation
496
Product · Integration
50 · 232
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Report or ebook | 277 | undated | |||
| Blog | 159 | undated | |||
| News or press | 51 | undated | |||
| Case study | 47 | undated | |||
| Comparison | 22 | undated | |||
| Webinar or virtual event | 19 | undated | |||
| Conference or event | 7 | undated | |||
| Glossary or explainer | 6 | undated | |||
| Template or tool | 3 | undated |
How it is countedHide how it is counted
Every page mparticle.com 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 mParticle
What the judge wrote, as written, with how often. The vendor table decides that these count as mParticle; a claim can dispute any of them.
mParticle (by Rokt) 1
Follow mParticle
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
mparticle is the company behind mParticle.ShowHide
The company
mparticle is the company behind mParticle.
ShowHideOn record
Wikidata- Website
- mparticle.com
Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata
In its own words
Stated by the vendor, not checked- Positioning
- The performance CDP that turns customer data into audiences, actions, and growth.
- For
- CMOs
- Price stated
- Request pricing mparticle.com
- Integrations claimed
- 300 mparticle.com
- Certifications
- MACH AllianceAWS Advertising and Marketing Technology CompetencyG2 recognizes mParticle for exceptional customer supportGDPRCCPALGPDISO 27001SOC II Type 2
- Customers named
- CKE brandsMarks & SpencerJoe & The JuiceTatchaSoFiInspire BrandsMarley SpoonKlarna
- Not stated on the pages read
- Starting price, free plan or trial, hosting
What mParticle's own pages state, read September 28, 2026: mparticle.com, mparticle.com/pricing, mparticle.com/security, mparticle.com/platform, mparticle.com/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 mParticle'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 mParticle, 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 mParticle by email, built from the raw record of the edition. It shows:
- where mParticle 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 mParticle, 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.