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Index Marketing Mobile apps › AppsFlyer vs MoEngage
Mobile apps · September 2026 Edition

AppsFlyer vs MoEngage

Two of twelve models named AppsFlyer first on the direct prompt; one named MoEngage. AppsFlyer was named by twelve of the twelve models and MoEngage by eight and AppsFlyer carries 36 labels and MoEngage 17, so the shares are not directly comparable.

AppsFlyer

accepted challenger

Herzliya, Israel, founded 2011. Named in two categories this edition.

MoEngage

accepted challenger

founded 2014. Named in six categories this edition.

First-choice share7%7%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate3%12%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#7#8A position in a field of 16; printed, not drawn.
Labels3617A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, AppsFlyer reading right to left. Rank and label count are printed, not drawn.Braze was named alongside these two in seven of the twelve direct answers. Meta Advantage+ App Campaigns vs AppsFlyer · Meta Advantage+ App Campaigns vs MoEngage · Customer.io vs AppsFlyer

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 twelve models made each the first choice, per way of asking, and how many argued against it.
AppsFlyerFirst choices, of twelve modelsMoEngage
Direct21
Paraphrase012 against MoEngage
Comparative70
Budget-constrained10
Scale-constrained01
Negative101 against AppsFlyer
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where AppsFlyer and MoEngage 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
AppsFlyer MoEngage first choice named as an alternative argued againstblank: not namedEach cell is one answer, AppsFlyer on the left and MoEngage on the right.

The direct prompt

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

AppsFlyer first, MoEngage not the choice

2 of 12 modelsMoEngage was named in the answer but not as the choice, or not at all.
Grok 4.1 FastAppsFlyer alternatives: Adjust, Branch, Singular
GLM 4.7 FlashXAppsFlyer alternatives: Adjust, Branch, Braze

MoEngage first, AppsFlyer not the choice

1 of 12 modelsAppsFlyer was named in the answer but not as the choice, or not at all.
Perplexity SonarHubSpot Marketing Hub, MoEngage alternatives: Braze, Customer.io

Neither was the first choice, one was named

4 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5no first choice alternatives: Acoustic, Braze, Customer.io, MoEngage
Gemini 3.5 FlashCustomer.io alternatives: Appcues, AppsFlyer, Branch, MoEngage, Pendo
Mistral SmallBraze, CleverTap alternatives: Adobe Marketo Engage, AppsFlyer, Firebase, Insider, OneSignal
DeepSeek V4 FlashOneSignal alternatives: Customer.io, MoEngage

Neither was named

5 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniBraze alternatives: CleverTap, Iterable, OneSignal
Llama 4 Maverickno first choice
Qwen 3.7 FlashCustomer.io alternatives: Braze, HubSpot
Kimi K2HubSpot Marketing Hub alternatives: 6sense Revenue AI, Airship, Braze, OneSignal
MiniMax M2.5OneSignal alternatives: Acoustic, Google Ads

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
AppsFlyer leads by seven points.
AppsFlyer7%#2 of 12
MoEngage0%#– of 12
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
AppsFlyer7%#7 of 16
MoEngage7%#8 of 16
The full mid-market standing →
Enterprise
AppsFlyer leads by seven points.
AppsFlyer11%#2 of 11
MoEngage4%#4 of 11
The full enterprise standing →

What the models said about AppsFlyer

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

“AppsFlyer: Some extreme negative Trustpilot reviews (unjustified charges, poor support, scam claims), but outlier amid 4.7/5 G2 leader status” Grok 4.1 Fast · negative prompt · soft negative
“Strengths: Most widely used globally, strongest fraud detection... Best for: Most apps needing comprehensive attribution” Mistral Small · comparative prompt · first choice
“Always use an independent MMP (AppsFlyer, Adjust, Singular) — never rely on a network's self-reported attribution” DeepSeek V4 Flash · negative prompt · first choice
“If your priority is campaign measurement at scale: AppsFlyer or Adjust are common choices.” GPT-5.4 mini · comparative prompt · first choice

What the models said about MoEngage

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

“CleverTap and MoEngage are heavily tailored to B2C e-commerce” Gemini 3.5 Flash · paraphrase prompt · hard negative
“I would recommend MoEngage *if your main need is mobile engagement and growth across push, in-app, and lifecycle messaging*” Perplexity Sonar · paraphrase prompt · first choice
“Want omnichannel journeys, built-in analytics, mid-market pricing | MoEngage, CleverTap, WebEngage” Kimi K2 · scale 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.