CleverTap vs AppsFlyer
One of twelve models named CleverTap first on the direct prompt; two named AppsFlyer. Both were named by all twelve models and CleverTap carries 23 labels and AppsFlyer 36, so the shares are not directly comparable.
Mountain View, United States, founded 2013. Named in four categories this edition.
Herzliya, Israel, founded 2011. Named in two categories this edition.
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
CleverTapFirst choices, of twelve modelsAppsFlyer
Across every category in the September 2026 Edition, CleverTap and AppsFlyer were named in the same answer forty-two times, of the 173 answers naming CleverTap and the 113 naming AppsFlyer. In those answers AppsFlyer took the first choice ten times and CleverTap one.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | | |
CleverTap AppsFlyer first choice named as an alternative argued againstblank: not namedEach cell is one answer, CleverTap on the left and AppsFlyer on the right.The direct prompt
CleverTap first, AppsFlyer an alternative
1 of 12 modelsAppsFlyer was named in the answer but not as the choice, or not at all.AppsFlyer first, CleverTap not the choice
2 of 12 modelsCleverTap was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
2 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
7 of 12 modelsThe answer made no first choice from these two in this category.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
AppsFlyer7%#2 of 12CleverTap2%#9 of 12CleverTap11%#3 of 16AppsFlyer7%#7 of 16AppsFlyer11%#2 of 11CleverTap0%#10 of 11What the models said about CleverTap
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Skip platforms like Braze, Adjust (Enterprise tier), or CleverTap unless you have significant revenue.” Qwen 3.7 Flash · budget prompt · hard negative
“CleverTap and MoEngage are heavily tailored to B2C e-commerce” Gemini 3.5 Flash · paraphrase prompt · hard negative
“CleverTap stands out as the best balanced choice due to its pricing transparency, strong retention analytics, and focus on behavioral segmentation” Claude Haiku 4.5 · paraphrase prompt · first choice
“Want omnichannel journeys, built-in analytics, mid-market pricing | MoEngage, CleverTap, WebEngage” Kimi K2 · scale prompt · first choice
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
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.