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Index › Marketing › Mobile apps › OneSignal vs Iterable
Mobile apps · October 2026 Edition

OneSignal vs Iterable

Zero of fourteen models named OneSignal first on the direct prompt; one named Iterable. OneSignal was named by twelve of the fourteen models and Iterable by seven and OneSignal carries 31 labels and Iterable 14, so the shares are not directly comparable.

OneSignal

accepted challenger

By Q140701571, San Mateo, United States, founded 2011. Named in four categories this edition.

Iterable

accepted challenger

Named in eleven categories this edition.

First-choice share7%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#7A position in a field of 18; printed, not drawn.
Labels3114A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, OneSignal reading right to left. Rank and label count are printed, not drawn.Customer.io was named alongside these two in ten of the fourteen direct answers. Customer.io vs OneSignal · Customer.io vs Iterable · CleverTap vs OneSignal

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the mobile apps page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
OneSignalFirst choices, of fourteen modelsIterable
Direct01
Paraphrase12
Comparative00
Budget-constrained30
Scale-constrained00
Negative001 against Iterable
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, OneSignal and Iterable were named in the same answer fifty-eight times, of the 348 answers naming OneSignal and the 172 naming Iterable. In those answers Iterable took the first choice six times and OneSignal sixteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where OneSignal and Iterable stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
OneSignal Iterable first choice named as an alternative argued againstblank: not namedEach cell is one answer, OneSignal on the left and Iterable on the right.

The direct prompt

The plain question, one answer per model, grouped by where OneSignal and Iterable stood in it.

Iterable first, OneSignal not the choice

1 of 14 modelsOneSignal was named in the answer but not as the choice, or not at all.
GLM 4.7 FlashXBraze, CleverTap, Iterable alternatives: Affise, AppsFlyer, Branch, MoEngage

Neither was the first choice, one was named

8 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniCustomer.io alternatives: Airship, Braze, OneSignal
Gemini 3.5 FlashCustomer.io alternatives: Branch, OneSignal
Mistral SmallCleverTap, Customer.io alternatives: Amplitude, AppsFlyer, Iterable, OneSignal, Pendo
DeepSeek V4 FlashCustomer.io alternatives: MoEngage, OneSignal
Qwen 3.7 FlashAdobe Marketo Engage alternatives: ActiveCampaign, HubSpot Marketing Hub, OneSignal
Kimi K2Customer.io, HubSpot Marketing Hub alternatives: Intercom, OneSignal
MiniMax M2.5Customer.io alternatives: Braze, OneSignal
GPT-6 LunaCustomer.io alternatives: AppsFlyer, Branch, Braze, OneSignal

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Braze, CleverTap alternatives: Customer.io, Intercom
Perplexity SonarAffise MMP alternatives: ActiveCampaign, AppsFlyer, MoEngage
Grok 4.1 FastAdjust alternatives: Branch
Llama 4 Maverickno first choice alternatives: Acoustic, AppsFlyer, Braze, CleverTap, Customer.io
Muse Glimmer 30BCleverTap, Customer.io alternatives: Dreamdata, MoEngage

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
OneSignal leads by thirty-one points.
OneSignal31%#1 of 16
Iterable0%#– of 16
The full small business standing →
Mid-marketThe figures above
OneSignal leads by two points.
OneSignal7%#4 of 18
Iterable5%#7 of 18
The full mid-market standing →
Enterprise
Level: the same share of first choices.
OneSignal4%#7 of 12
Iterable4%#4 of 12
The full enterprise standing →

What the models said about OneSignal

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.

“It's the most accessible entry point for engagement with strong push notification infrastructure, simple integration, and a generous free tier, making it the right starting point” Claude Haiku 4.5 · budget prompt · first choice
“OneSignal — Best Value All-Around ... For the majority of small-budget companies, OneSignal (free tier) ... gives the best overall value.” DeepSeek V4 Flash · budget prompt · first choice

What the models said about Iterable

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.

“Braze or Iterable (enterprise-grade journeys, strong B2B use cases)” GLM 4.7 FlashX · direct prompt · first choice
“My Top Recommendation: Iterable or MoEngage” Kimi K2 · paraphrase prompt · first choice
“Best Overall Recommendation: Iterable” Claude Haiku 4.5 · paraphrase prompt · first choice
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.