| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Mobile apps | Marketing | 5% | 7 of 117 | 7% | 14 | accepted challenger | ▲+6Since September 2026: 0% → 6%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Mobile marketing and push | Marketing | 0% | 16 of 80 | 17% | 24 | accepted challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Marketing automation and campaign management | Marketing | 0% | 16 of 59 | 0% | 7 | under 10 labels · led by HubSpot Marketing Hub at 63% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| In-app messaging and customer communications | Customer | 0% | 61 of 105 | 25% | 4 | under 10 labels · led by Intercom at 21% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Channel partner and local marketing | Partner and channel | 0% | 57 of 124 | 0% | 2 | under 10 labels · led by Channelscaler at 10% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Ecommerce marketing | Marketing | 0% | 46 of 115 | 0% | 2 | under 10 labels · led by HubSpot Marketing Hub at 38% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Email marketing platforms | Marketing | 0% | 24 of 66 | 0% | 2 | under 10 labels · led by HubSpot Marketing Hub at 35% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Customer data platforms | GTM data and infrastructure | 0% | 37 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. |
| Customer intelligence and data science | GTM data and infrastructure | 0% | 95 of 142 | 0% | 1 | under 10 labels · led by Amplitude at 18% | newNew since September 2026: not ranked then, 0% now. |
| Marketing | 0% | 62 of 68 | 100% | 1 | under 10 labels · led by Postalytics at 44% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | |
| SMS and WhatsApp marketing platforms | Marketing | 0% | 72 of 111 | 0% | 1 | under 10 labels · led by Customer.io at 17% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Mobile apps | 0% | 6% | ▲+6Since September 2026: 0% → 6%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 38 → 7 of 117 |
| Mobile & push | 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 48 → 16 of 80 |
| Marketing automation | 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 13 → 16 of 59 |
| In-app messaging | 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 87 → 61 of 105 |
| Channel marketing | 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 70 → 57 of 124 |
| Ecommerce marketing | 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 26 → 46 of 115 |
| Email marketing | 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 21 → 24 of 66 |
| 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 30 → 37 of 61 |
| Customer intel | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 95 of 142, unchanged |
| Direct mail | 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 37 → 62 of 68 |
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
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 0 | 1 | 0 | 2 |
| GPT-5.4 mini | 0 | 2 | 0 | 0 | 2 |
| Gemini 3.5 Flash | 0 | 2 | 1 | 0 | 3 |
| Perplexity Sonar | 0 | 0 | 0 | 1 | 1 |
| Grok 4.1 Fast | 0 | 2 | 5 | 2 | 9 |
| Mistral Small | 0 | 1 | 3 | 4 | 8 |
| DeepSeek V4 Flash | 0 | 3 | 3 | 0 | 6 |
| Llama 4 Maverick | 0 | 0 | 4 | 0 | 4 |
| Qwen 3.7 Flash | 0 | 1 | 2 | 0 | 3 |
| Kimi K2 | 1 | 3 | 4 | 0 | 8 |
| GLM 4.7 FlashX | 1 | 2 | 3 | 0 | 6 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 2 | 0 | 0 | 2 |
| Muse Glimmer 30B | 0 | 2 | 3 | 0 | 5 |
Verbatim evidence the judge attached to positive labels.
“Braze or Iterable (enterprise-grade journeys, strong B2B use cases)” GLM 4.7 FlashX · Mobile apps · direct prompt · first choice
“My Top Recommendation: Iterable or MoEngage” Kimi K2 · Mobile apps · paraphrase prompt · first choice
“Best Overall Recommendation: Iterable” Claude Haiku 4.5 · Mobile apps · paraphrase prompt · first choice
“compare Braze, Airship, and Iterable based on your data, integration, and implementation requirements” GPT-6 Luna · Mobile & push · comparative prompt · alternative
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.
“generally not recommended for smaller or mid-market teams and is advised to be skipped” Mistral Small · Mobile & push · negative prompt · hard negative
“"Skip unless enterprise"; criticized for scale requirements over accessibility.” Grok 4.1 Fast · Mobile & push · negative prompt · hard negative
“Its advanced automation can feel rigid, and setup requires careful data modeling to avoid personalization errors.” Mistral Small · Direct mail · negative prompt · soft negative
“reporting needs work, it can become API-dependent, and quality support is limited to paying plans” Perplexity Sonar · Mobile & push · negative prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 164 of the 172 answers that named Iterable and are not a share of its labels.
404 of the 404 domain citations in answers naming Iterable came from somebody else's page.
Pages are listed as the models cited them.
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.
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 1,064 | 38 | 2026-09-25 | ||
| Webinar or virtual event | 108 | 5 | 2026-09-22 | ||
| Conference or event | 79 | 0 | 2026-05-06 | ||
| Glossary or explainer | 78 | 2 | 2026-09-11 | ||
| Report or ebook | 73 | 0 | 2026-04-20 | ||
| Case study | 68 | 1 | 2026-07-23 | ||
| Comparison | 25 | 0 | 2026-05-22 | ||
| Template or tool | 3 | 0 | 2026-05-28 | ||
| News or press | 3 | 0 | 2026-06-22 |
As the event pages on iterable.com state them, read September 28, 2026.
Every page iterable.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.
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.
What Iterable's own pages state, read September 28, 2026: iterable.com, trust.iterable.com, iterable.com/product, iterable.com/customers. A claimed page can correct any of them.
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 Iterable'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 Iterable, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Iterable by email, built from the raw record of the edition. It shows: