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Index › Marketing › Mobile apps › Apple Search Ads vs Iterable
Mobile apps · October 2026 Edition

Apple Search Ads vs Iterable

Zero of fourteen models named Apple Search Ads first on the direct prompt; one named Iterable. Apple Search Ads was named by nine of the fourteen models and Iterable by seven and Apple Search Ads carries 12 labels and Iterable 14, so the shares are not directly comparable.

Apple Search Ads

accepted challenger

Named in two categories this edition.

Iterable

accepted challenger

Named in eleven categories this edition.

First-choice share5%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#6#7A position in a field of 18; printed, not drawn.
Labels1214A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Apple Search Ads 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 Apple Search Ads · Customer.io vs Iterable · CleverTap vs Apple Search Ads

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.
Apple Search AdsFirst choices, of fourteen modelsIterable
Direct01
Paraphrase02
Comparative10
Budget-constrained30
Scale-constrained00
Negative101 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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Apple Search Ads and Iterable stood in it.
ModelDirectASParaphraseASComparativeASBudget-constrainedASScale-constrainedASNegativeAS
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 FlashAS
Perplexity Sonar
Grok 4.1 FastASAS
Mistral SmallAS
DeepSeek V4 FlashAS
Llama 4 MaverickAS
Qwen 3.7 FlashAS
Kimi K2AS
GLM 4.7 FlashX
MiniMax M2.5ASAS
GPT-6 Luna
Muse Glimmer 30B
AS Apple Search Ads IterableAS first choiceAS named as an alternativeAS argued againstblank: not namedEach cell is one answer, Apple Search Ads on the left and Iterable on the right.

The direct prompt

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

Iterable first, Apple Search Ads not the choice

1 of 14 modelsApple Search Ads 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

1 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Mistral SmallCleverTap, Customer.io alternatives: Amplitude, AppsFlyer, Iterable, OneSignal, Pendo

Neither was named

12 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Braze, CleverTap alternatives: Customer.io, Intercom
GPT-5.4 miniCustomer.io alternatives: Airship, Braze, OneSignal
Gemini 3.5 FlashCustomer.io alternatives: Branch, OneSignal
Perplexity SonarAffise MMP alternatives: ActiveCampaign, AppsFlyer, MoEngage
Grok 4.1 FastAdjust alternatives: Branch
DeepSeek V4 FlashCustomer.io alternatives: MoEngage, OneSignal
Llama 4 Maverickno first choice alternatives: Acoustic, AppsFlyer, Braze, CleverTap, Customer.io
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
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
Apple Search Ads leads by two points.
Apple Search Ads2%#9 of 16
Iterable0%#– of 16
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Apple Search Ads5%#6 of 18
Iterable5%#7 of 18
The full mid-market standing →
Enterprise
Apple Search Ads is not named for this buyer.
Iterable4%#4 of 12
Apple Search Ads—not named
The full enterprise standing →

What the models said about Apple Search Ads

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

“If you can spend a few hundred dollars, start with Apple Search Ads – you'll get high-intent users at the lowest average CPI.” MiniMax M2.5 · budget prompt · first choice
“Overall Best for Limited Budget: Apple Search Ads if iOS-focused (highest quality, lowest barrier).” Grok 4.1 Fast · budget prompt · first choice
“This is widely considered the best place to start for iOS apps. It requires very low minimum daily budgets” Qwen 3.7 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.