Small business=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 85 → 62 of 63
Adobe · 1 category · RankedAdobe Target
122Judge labels
10First choices
56Negative labels
14 / 14Models named it
1Category
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
16% in Experimentation for enterprise buyers
Rank 70 of 71 in the mid-market standingcriticized challenger
0 of 14 models made it the first choice on the direct prompt; 58% of its 36 labels there were negative.
What the models named instead of Adobe Target →By buyer segmentStrongest at enterprise.
Small business68 of 69
0%18 labels
criticized challenger
Mid-market70 of 71
0%36 labels
criticized challenger
Enterprise2 of 63
16%67 labels
criticized challenger
In experimentation · 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 Adobe Target 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 |
|---|---|---|---|---|---|---|---|
| Experimentation and personalization | Marketing | 0% | 70 of 71 | 58% | 36 | criticized challenger | =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, Adobe Target held within the floor in its one category: no change cleared 11 points.
Best category · Experimentation · 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 66 → 67 of 68
Enterprise▲+2Since September 2026: 12% → 14%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
14%from 12% in September 2026
Inside the floor by 9 pointsRank 3 → 2 of 53
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Experimentation | 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 66 → 70 of 71 |
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 Adobe Target 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 Adobe Target 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 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 1 | 0 | 2 | 3 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 4 | 5 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.20 | 0 | 1 | 0 | 1 | 2 |
| Mistral Small | 0 | 0 | 1 | 2 | 3 |
| DeepSeek V4 Flash | 0 | 1 | 1 | 3 | 5 |
| Llama 4 Maverick | 0 | 1 | 0 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 0 | 2 | 2 | 4 |
| Kimi K2 | 0 | 1 | 0 | 2 | 3 |
| GLM 4.7 FlashX | 0 | 0 | 1 | 1 | 2 |
| MiniMax M2.5 | 0 | 0 | 0 | 1 | 1 |
| GPT-6 Luna | 0 | 0 | 1 | 1 | 2 |
| Muse Glimmer 30B | 0 | 1 | 0 | 2 | 3 |
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
Direct16 labels2
Paraphrase19 labels4
Comparative28 labels3not counted in share
Budget-constrained15 labels1
Scale-constrained16 labels3
Negative28 labelsNone
First choiceAlternativeMentionNegative122 labels in all, every segment counted; 10 of the 13 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.
“the natural choice if you already run Adobe Experience Manager and Adobe Analytics... hard to justify outside the Adobe ecosystem” Claude Haiku 4.5 · Experimentation · comparative prompt · alternative
“Adobe delivers real-time, AI-driven content variations across websites, mobile apps, and inbound customer interactions” Llama 4 Maverick · Experimentation · comparative prompt · alternative
“Choose Adobe Target if you're already invested in Adobe Experience Cloud and need deep AI personalization” Kimi K2 · Experimentation · comparative prompt · alternative
“Best For: Large organizations already heavily locked into the Adobe ecosystem” Gemini 3.5 Flash · Experimentation · 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.
“Force you into a closed ecosystem (Adobe Target unless you're already all-in on Adobe)” DeepSeek V4 Flash · Experimentation · negative prompt · hard negative
“Avoid enterprise tools like Optimizely or Adobe Target” DeepSeek V4 Flash · Experimentation · budget prompt · hard negative
“Unlike massive enterprise tools (like Optimizely or Adobe Target), Convert is famous for having accessible, technical, and fast customer support.” Gemini 3.5 Flash · Experimentation · paraphrase prompt · soft negative
“complex setup, steep learning curve, and high cost. Requires significant technical resources and is often criticized for slow time-to-value.” Mistral Small · Experimentation · comparative prompt · soft negative
Named alongside
The products named in the same answers as Adobe Target, over the 122 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Adobe Target was named but was not.ShowHide
Named alongside
The products named in the same answers as Adobe Target, over the 122 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Adobe Target 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 Adobe Target. 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 113 of the 122 answers that named Adobe Target and are not a share of its labels.
Domains cited
kameleoon.com53
mida.so47
guideflow.com46
convert.com45
optimizely.com45
personizely.net45
growthbook.io31
abmatic.ai30
personyze.com30
statsig.com28
400 of the 400 domain citations in answers naming Adobe Target came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Adobe Target stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where Adobe Target stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 1,300 a month (“adobe target”)
- AI search demand for its name, est.
- 114 a month
- Its own site
- It sits on Adobe's site (adobe.com), so there are no site figures for it alone
In answers
This editionShare of first choices
0%
rank 70 of 71 in experimentation
Segment leader
27%
VWO
- First choices
- 10 across its categories
- Named in
- 122 answers
- Its own site cited
- in 113 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.
Names read as Adobe Target
What the judge wrote, as written, with how often. The vendor table decides that these count as Adobe Target; a claim can dispute any of them.
Adobe 1
Follow Adobe Target
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
Adobe is the company behind Adobe Target.ShowHide
The company
Adobe is the company behind Adobe Target.
ShowHideOn record
Wikidata- Website
- adobe.com
- Headquarters
- San Jose, United States
- Founded
- 1982
- Employees
- about 25,988 (2021)
- Ownership
- Public, ABS on London Stock Exchange
Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · LinkedIn · Crunchbase
In its own words
Stated by the vendor, not checked- Positioning
- Sign up to get product updates, articles, and other resources for using Adobe Target to deliver the exceptional customer experiences that drive business success.
- Not stated on the pages read
- Price, starting price, free plan or trial, integrations, certifications, hosting, customers
What Adobe Target's own pages state, read September 28, 2026: adobe.com/subscription/adobe-target-newsletter.html, developer.adobe.com/target/administer/admin-api, developer.adobe.com/target/administer/models-api, developer.adobe.com/target/implement/delivery-api, developer.adobe.com/client-sdks/solution/adobe-target. 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 Adobe Target'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 Adobe Target, 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 Adobe Target by email, built from the raw record of the edition. It shows:
- where Adobe Target 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 Adobe Target, 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.