Mobile apps
Asked as “mobile app marketing platform”, and as “mobile app engagement and growth tool”, on behalf of a mid-market B2B software company. 58 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing · first-choice share
17%
Contested · CleverTap 14%
17Customer.io14CleverTap09Braze60others
17% of first choices, contested.
Since September 2026↗new leaderNew leader since September 2026: Customer.io (16%) replaces Meta Advantage+ App Campaigns (15% then, 4% now), 12 points clear, past the 12-point floor.Customer.io leads at 16%, replacing Meta Advantage+ App Campaigns, which led at 15% and stands at 4% now: 12 points clear, past the floor.
The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all six models, for a mid-market B2B software company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01
Customer.io17%0%17accepted challenger▲+1Since September 2026: 15% → 16%, +1 point. Inside the 12-point floor: within noise. Read over the models both editions asked.15% → 16%
Customer.io17%0%17accepted challenger▲+1Since September 2026: 15% → 16%, +1 point. Inside the 12-point floor: within noise. Read over the models both editions asked.15% → 16%02
CleverTap14%7%29accepted challenger▲+3Since September 2026: 11% → 14%, +3 points. Inside the 12-point floor: within noise. Read over the models both editions asked.11% → 14%
CleverTap14%7%29accepted challenger▲+3Since September 2026: 11% → 14%, +3 points. Inside the 12-point floor: within noise. Read over the models both editions asked.11% → 14%03
Braze9%37%43criticized challenger▲+2Since September 2026: 9% → 10%, +2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.9% → 10%
Braze9%37%43criticized challenger▲+2Since September 2026: 9% → 10%, +2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.9% → 10%04
OneSignal7%0%31accepted challenger▼−3Since September 2026: 9% → 6%, −3 points. Inside the 12-point floor: within noise. Read over the models both editions asked.9% → 6%
OneSignal7%0%31accepted challenger▼−3Since September 2026: 9% → 6%, −3 points. Inside the 12-point floor: within noise. Read over the models both editions asked.9% → 6%05
Google App Campaigns Lab in the set7%5%19accepted challenger▼−3Since September 2026: 9% → 6%, −3 points. Inside the 12-point floor: within noise. Read over the models both editions asked.9% → 6%
Google App Campaigns Lab in the set7%5%19accepted challenger▼−3Since September 2026: 9% → 6%, −3 points. Inside the 12-point floor: within noise. Read over the models both editions asked.9% → 6%06Apple Search Ads5%0%12accepted challenger▲+6Since September 2026: 0% → 6%, +6 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 6%
07
Iterable5%7%14accepted challenger▲+6Since September 2026: 0% → 6%, +6 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 6%
Iterable5%7%14accepted challenger▲+6Since September 2026: 0% → 6%, +6 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 6%08
Meta Advantage+ App Campaigns5%25%20criticized challenger▼−11Since September 2026: 15% → 4%, −11 points. Past the 12-point floor: movement. Read over the models both editions asked.15% → 4%
Meta Advantage+ App Campaigns5%25%20criticized challenger▼−11Since September 2026: 15% → 4%, −11 points. Past the 12-point floor: movement. Read over the models both editions asked.15% → 4%09
MoEngage3%5%20accepted challenger▼−2Since September 2026: 7% → 4%, −2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.7% → 4%
MoEngage3%5%20accepted challenger▼−2Since September 2026: 7% → 4%, −2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.7% → 4%10
AppsFlyer2%12%43accepted challenger▼−4Since September 2026: 7% → 2%, −4 points. Inside the 12-point floor: within noise. Read over the models both editions asked.7% → 2%
AppsFlyer2%12%43accepted challenger▼−4Since September 2026: 7% → 2%, −4 points. Inside the 12-point floor: within noise. Read over the models both editions asked.7% → 2%11
Adjust2%3%32accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 2%
Adjust2%3%32accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 2%Show the seven products at 0%, ordered by negative rate
18
AppLovin0%40%10criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%
AppLovin0%40%10criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%17
Airship0%31%13criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%
Airship0%31%13criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%16
TikTok Ads0%21%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%
TikTok Ads0%21%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%15
Sensor Tower0%10%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%
Sensor Tower0%10%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%14
Kochava0%9%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%
Kochava0%9%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%12
Branch0%0%30accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 0%
Branch0%0%30accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 0%13
Singular0%0%15accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%
Singular0%0%15accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%The floor is 12 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. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
Google App Campaigns is made by Google, whose model Gemini 3.1 Pro is in the set. On the four share prompts that model made it the first choice zero times of 4; the other five models zero times of 20. Lab treatment is defined on the method page; the row is marked, not excluded.
All ten head-to-head pages: the top five products, each against each
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
0102030405A06
070809101112131415161718Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01Customer.io17%
Customer.io17%02CleverTap14%
CleverTap14%03Braze9%
Braze9%04OneSignal7%
OneSignal7%05Google App Campaigns7%
Google App Campaigns7%06Apple Search Ads5%
07Iterable5%
Iterable5%08Meta Advantage+ App Campaigns5%
Meta Advantage+ App Campaigns5%09MoEngage3%
MoEngage3%10AppsFlyer2%
AppsFlyer2%11Adjust2%
Adjust2%12Branch0%
Branch0%13Singular0%
Singular0%14Kochava0%
Kochava0%15Sensor Tower0%
Sensor Tower0%16TikTok Ads0%
TikTok Ads0%17Airship0%
Airship0%18AppLovin0%
AppLovin0%What they warned about
A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Braze37%
16 of 43 labels negative · 9 of 6 models · 2 hard negative
“What to Avoid for Mid-Market B2B - **Braze** ... really built for enterprise teams” DeepSeek V4 Flash, direct prompt
AppLovin40%
4 of 10 labels negative · 4 of 6 models · 2 hard negative
“Frequently criticized for "attribution scams and privacy violations"” GLM 4.7 FlashX, negative prompt
AppsFlyer12%
5 of 43 labels negative · 4 of 6 models
“Cons: Opaque/per-conversion pricing ($0.07+ post-12K conversions), enterprise-locked features, heavier SDK... many mid-market B2B teams start here but switch for cost.” Grok 4.20, direct prompt
Meta Advantage+ App Campaigns25%
5 of 20 labels negative · 4 of 6 models
“warn against depending only on Google/Meta, or only one channel like Instagram ads, because platform changes can hurt performance” Perplexity Sonar, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the six in this edition.
Sites the answers cite
75 of 84 answers in this category came back with a source list, from 14 of 6 models: citations where the model returns them, or the search results it consulted. 1083 links across 333 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 36 answers across every segment cited this index's own page for the category.
vendor site · Guideflow34 answers · 49 citations · 12 models
32 answers · 64 citations · 11 models
25 answers · 33 citations · 10 models
24 answers · 24 citations · 9 models
21 answers · 21 citations · 10 models
20 answers · 21 citations · 9 models
18 answers · 18 citations · 10 models
vendor site · AppsFlyer17 answers · 18 citations · 11 models
14 answers · 20 citations · 9 models
vendor site · OneSignal13 answers · 17 citations · 7 models
13 answers · 15 citations · 7 models
vendor site · SmartyAds13 answers · 14 citations · 10 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
24 answers · 9 models
22 answers · 12 models
18 answers · 10 models
18 answers · 11 models
17 answers · 10 models
14 answers · 7 models
14 answers · 9 models
13 answers · 10 models
12 answers · 6 models
10 answers · 8 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best mobile app marketing platform”, “mobile app marketing platform”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days |
|---|---|---|---|---|---|---|---|
| Customer.io customer.io | 17% | 187 | 2,900 | 174 | 15,750 | $6,920 | 112 |
| CleverTap clevertap.com | 14% | 186 | 1,000 | 24 | 20,153 | $12,750 | 20 |
| Braze braze.com | 9% | 505 | 27,100 | 6,395 | 55,552 | $13,112 | 59 |
| OneSignal onesignal.com | 7% | 330 | 4,400 | 133 | 29,726 | 38 | |
| Google parent site Google App Campaigns 7% | 7% | 33 | 170 | 19 | |||
| Apple Search Ads | 5% | 2,900 | 95 | ||||
| Iterable iterable.com | 5% | 164 | 9,900 | 6,286 | 11,545 | $64,478 | 37 |
| Meta parent site Meta Advantage+ App Campaigns 5% | 5% | 38 | |||||
| Userpilot userpilot.com | 5% | 251 | 1,600 | 10 | 62,084 | 6 | |
| MoEngage moengage.com | 3% | 109 | 1,600 | 54 | 13,669 | 6 |
Google's top ten for the two searches hold 16 sites; 2 of them are among the sites the models cited here (appsflyer.com, businessofapps.com). The first result for “best mobile app marketing platform” is reddit.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best mobile app marketing platform for a mid-market B2B company?”Paraphrase“Which mobile app engagement and growth tool would you recommend to a mid-sized B2B company?”Comparative“What are the top mobile app marketing platforms and how do they differ?”Budget-constrained“What is the best mobile app marketing platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a mobile app marketing platform. What should we look at?”Negative“Which mobile app marketing platforms should I avoid or be cautious about?”
Claude Opus 5no first choiceno first choiceno first choiceno first choiceno first choicenothing named
Claude Opus 4.8no first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-6 Astrano first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-5.6 Solno first choiceno first choiceno first choiceno first choiceno first choicenothing named
Gemini 3.1 Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Perplexity Sonar Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Zero rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
Google UAC read as Google App Campaigns
HubSpot read as HubSpot Marketing Hub
Instagram ads read as Meta Advantage+ App Campaigns
Meta read as Meta Advantage+ App Campaigns
Meta (Facebook/Instagram) read as Meta Advantage+ App Campaigns
Meta Ads read as Meta Advantage+ App Campaigns
Meta Ads (Facebook/Instagram) read as Meta Advantage+ App Campaigns
Meta Advantage+ read as Meta Advantage+ App Campaigns
TikTok read as TikTok Ads
Unresolved, counted raw
Adagogo
App Store Connect analytics
AppFlyer (Impact)
Branch Basics
Digital Turbine (formerly Fyber)
Iterable Nova
Keyword Tool
Kidoz
Luna
NextGrowthLabs
Performcb
SolarEngine
Yodel Mobile
buy-app-downloads.com
if(we)
Discontinued, still offered
No shut-down product was recommended here.