In-App Bench
In-App Bench
@InAppBench

CTIT fingerprinting exposed a sub-source faking installs: 23% clawed back

CTIT fingerprinting exposed a sub-source faking installs: 23% clawed back
A buyer's MMP showed clean aggregate fraud scores, but one sub-publisher's click-to-install-time histogram was bimodal — a normal hump plus a hard spike under 10 seconds.

That sub-10s spike is the signature of install hijacking: the fraudster fires a click the instant a real install begins.

Isolating that sub-publisher and appealing recovered 23% of its installs as rejected.

✓ Sub-source CTIT beats account-level fraud scores for granularity
✓ Hijacking has a distinct, repeatable time signature
✗ Requires raw-data export and your own histogram tooling
✗ Networks dispute click-hijack claims harder than click-spam

Verdict: pull CTIT per sub-publisher; aggregates hide the fraud.
Best for: anyone buying via blind sub-publisher networks.
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: @AFFtop_connect. Быстрый тест: $20 за канал, $1000 за пакет по сети.