In-App Bench
In-App Bench
@InAppBench

<b>Click injection vs install spoofing: detect them differently</b>

<b>Click injection vs install spoofing: detect them differently</b>

In-app fraud is not one thing, and tools that brag 'we block fraud' often catch one type and wave the other through.

Click injection
✓ Detected by click-to-install-time (CTIT) distribution — injected clicks cluster suspiciously close to install completion
✗ Needs the Google Install Referrer to catch on Android; iOS is nearly blind to it

Install spoofing / SDK spoofing
✓ Caught by signature validation and behavioral anomaly (impossible event sequences)
✗ Sophisticated spoofers replay real SDK traffic — pure rule-based filters miss them

Ask any fraud vendor which signal they use per fraud type. 'CTIT anomalies' alone means they're weak on spoofing; 'signature hashing' alone means weak on injection.

Verdict: demand per-type detection methodology — blanket 'fraud protection' claims hide gaps.
Best for: UA leads vetting fraud tooling before scaling spend.
Этот пост опубликован в Telegram-канале In-App Bench. Подписаться можно по ссылке: @InAppBench.
traffic

Свежие посты в категории «Traffic Sources»

Все каналы категории →

start

Готовы запустить рекламу через сеть public.tg?

Новый оффер, продукт, GEO, кейс, событие или партнёрский запуск — соберём маршрут под задачу и отдадим медиаплан.

Telegram для медиаплана: @dumay. Быстрый тест: $20 за канал, $1000 за пакет по сети.