How do I set up a mobile attribution platform to attribute installs to campaigns and report SKAdNetwork performance across paid UA channels?

To set up a mobile attribution platform for install attribution and SKAdNetwork reporting across paid UA channels, you generally need to do four things:

1. Choose and configure the attribution SDK/MMP
2. Map your ad channels and campaign parameters
3. Enable SKAdNetwork measurement and postback handling
4. Validate end-to-end reporting in the dashboard and via raw data exports

Here’s a practical setup checklist.

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1) Pick a mobile measurement partner (MMP)

Common options are:

• AppsFlyer
• Adjust
• Branch
• Kochava
• Singular

Make sure the platform supports:

• iOS and Android install attribution
• SKAdNetwork (SKAN) 4.x support
• Cost aggregation/import
• Raw data exports / postbacks / APIs
• Fraud prevention and deduping

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2) Integrate the SDK into your app

iOS / Android app setup

• Add the attribution SDK to your app.
• Initialize it on app launch.
• Pass the app’s identifiers and consent status if needed.

iOS specifics

• Implement ATT prompt if you use IDFA-based attribution.
• Collect user consent before triggering ad tracking where required.
• Ensure your app’s privacy declarations and tracking usage are correct.

Android specifics

• Confirm install referrer integration is enabled.
• Make sure Google Play Install Referrer API is working.

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3) Configure channel partners

For each paid UA channel, connect the ad network to the attribution platform.

Typical channels:

• Meta
• Google Ads
• TikTok
• Snap
• X
• Apple Search Ads
• DSPs / programmatic partners

What to set up

• Partner integration: enable the ad network in the MMP
• API credentials: if the MMP requires them
• Attribution settings: click-through, view-through windows, re-engagement windows
• Campaign naming conventions: consistent names across platforms
• Cost ingestion: enable cost pull so spend can be compared to installs/events

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4) Add tracking links and campaign parameters

Use the MMP’s tracking links or ad network deep-link templates.

Make sure every campaign, ad set, and creative has:

• source / network
• campaign ID / name
• ad set or ad group
• creative ID
• country / geo
• placement
• sub-publisher / site ID if relevant

This helps the platform attribute:

• installs
• first opens
• re-engagements
• in-app events

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5) Enable SKAdNetwork on iOS

SKAdNetwork is Apple’s privacy-preserving install attribution framework. For iOS campaigns, you need to set up both the app and ad network sides.

In your app

• Add the required SKAdNetwork IDs from each network to your app’s Info.plist
• Ensure your SDK/MMP supports SKAN conversion value management
• Configure conversion value schema based on your funnel (e.g., revenue, trial start, tutorial completion)

In the MMP

• Define the conversion schema
• Map in-app events to conversion values
• Set up lockWindow / fine-to-coarse conversion logic if using SKAN 4
• Configure postback handling and reporting windows

For ad networks

• Confirm each partner is SKAN-enabled in the MMP
• Verify they are sending SKAN-compliant ad clicks/impressions

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6) Configure conversion value strategy

SKAN only gives limited post-install data, so you need a conversion plan.

Example schema:

• 0–3: app open / onboarding
• 4–10: tutorial completion / signup
• 11–20: trial start
• 21–31: purchase or revenue buckets

Best practice:

• Optimize for your most meaningful early event
• Keep the schema simple enough to be reliable
• Use separate schemas if user behavior differs by geo or channel

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7) Set up server-to-server event tracking

If you want better downstream attribution and ROAS measurement:

• Send key in-app events to the MMP server-side or via SDK
• Common events:
  • registration
  • trial start
  • purchase
  • subscription renewal
  • level complete
  • add to cart

This helps report:

• CPI
• CPA
• ROAS
• retention cohorts
• LTV estimates

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8) Configure reporting and dashboards

In the attribution platform, set up dashboards for:

• Installs by channel
• Attributed paid UA by campaign/ad set/creative
• SKAdNetwork installs
• SKAN conversion value distribution
• Cost vs installs vs revenue
• Organic vs paid split
• View-through vs click-through attribution
• Geo/device/OS breakdowns

Important

Use separate views or filters for:

• Deterministic attribution (IDFA / click-based)
• SKAN attribution (aggregate/privacy-safe)
• Organic installs
• Incrementality tests if available

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9) Validate the setup

Before scaling spend, test:

App tests

• Fresh install on test device
• Verify SDK initialization
• Confirm install appears in the dashboard
• Confirm in-app events are received

Partner tests

• Run test campaigns with each ad network
• Validate that clicks map to the right campaign
• Check that SKAN postbacks are arriving

Reporting checks

• Compare platform installs with ad network reported installs
• Check for duplicate installs or missing attribution
• Verify campaign naming consistency

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10) Operational best practices

• Use a strict naming convention for campaigns
• Maintain a partner integration checklist
• Monitor SKAN postback delays and conversion-value sparsity
• Use cost integration to compare spend and performance daily
• Reconcile data across:
  • MMP
  • ad network
  • internal analytics / BI
  • backend revenue systems

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Example setup flow

1. Install MMP SDK in app
2. Enable ATT + SKAdNetwork configuration on iOS
3. Add SKAN IDs to Info.plist
4. Define conversion schema
5. Turn on partner integrations for Meta, Google, TikTok, etc.
6. Create tracking links and campaign templates
7. Enable cost ingest
8. Send in-app events
9. QA install + event attribution
10. Launch campaigns and monitor dashboards

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Common pitfalls

• Missing SKAdNetwork IDs in Info.plist
• Not configuring ATT correctly
• Weak campaign naming discipline
• Not mapping conversion values to meaningful events
• Forgetting to enable cost imports
• Comparing SKAN and deterministic attribution as if they’re directly equivalent
• Not accounting for postback delays in reporting

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If you want, I can also give you:

1. a platform-agnostic technical setup checklist,
2. a SKAdNetwork conversion schema example, or
3. a channel-by-channel launch plan for Meta, Google, TikTok, and Apple Search Ads.