AppsFlyer Postbacks Configuration

Modified on Mon, 28 Sep at 3:21 PM

bideaseSETUP GUIDE

A step-by-step guide for advertisers to connect AppsFlyer postbacks to Bidease, so campaigns optimize on your install and in-app event data.

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ClickID is essential

Turn Advanced Privacy off on iOS so default postbacks carry the clickid Bidease optimizes on.

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Share all sources

Send installs and events from all media sources, including organic, for suppressions and ML.

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View-through on

Enable install view-through attribution so post-view installs are credited to Bidease.

STEP-BY-STEP SETUP

5 Steps to Go Live

Open your app in AppsFlyer

Find Bidease in the Partner Marketplace

Open the integration settings for Bidease.

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Go to Partner Marketplace in the sidebar menu

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Type Bidease into the search bar

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Click the gear icon to open Manage Integration for Bidease

Activate the partner

On the Integration tab, toggle on Activate Partner and proceed to the main configuration.

Configure the integration settings

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Configure exactly as below. These settings directly affect Bidease's optimization processes.

Setting	Set to	Why it matters
Advanced Privacy (iOS 14.5+)iOS	Off	Lets Bidease receive default postbacks, including the clickid used for campaign optimization and ML.
Share SKAN Transaction IDiOS	On	Helps Bidease work with SKAN traffic more precisely.
Share organic/non-organic indication	On	Helps Bidease separate NAD traffic.
Engaged click-through / view-through window	2 days (default)	Attribution window for installs credited to Bidease.
Install view-through attribution	On	Allows Bidease to deliver installs from post-view attribution.
Re-engagement attribution window	As needed	Only if you are launching a re-engagement campaign.
Default Postbacks	All media sources, including organic	Suppressions & ML: non-attributed data lets Bidease exclude existing users and train models.
In-app events attribution window	6 months (default)	Attribution window for in-app events credited to Bidease.
In-app Event Postbacks	Send all events + All media sources, including organic + Values & revenue	Suppressions & ML: non-attributed data lets Bidease exclude existing users and train models.