Is this a consulting service?

No, this is a free, interactive software tool that calculates your potential liability under the DPDP Act 2023 in 30 seconds. It provides an instant risk score and automated action plan.

What are common DPDP violations in Mobile Attribution SDK Audit?

Common violations include: Collecting **device identifiers (ADID, IDFA)** via SDKs before obtaining explicit, purpose-specific consent from users., Automatically sharing user data with **multiple ad networks** (e.g., Google Ads, Meta Ads) without separate, granular consent for each partner., Lacking **Data Processing Agreements (DPAs)** with your attribution SDK providers, failing to define their role as Data Processors..

The DPDP Audit Tool

Compliance for Mobile Attribution SDK Audit

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Mobile Attribution SDK Audit
Liability Check

That mobile attribution SDK driving your growth? It's silently collecting personal data from every user. Without proper consent, you're looking at DPDP penalties up to ₹250 Crore.

Why Mobile Attribution SDK Audit is at Risk

Mobile attribution SDKs like Adjust, Branch, AppsFlyer, or Singular are crucial for your growth team at companies like Byju's or Swiggy. But they don't just track installs; they collect **device identifiers (ADID, IDFA), IP addresses, and app usage patterns**. This constitutes **personal data** under DPDP. Sharing this data with ad networks (Google Ads, Meta Ads) without explicit, granular consent makes you directly responsible as a Data Fiduciary. The Data Protection Board will scrutinise your data flows and third-party data sharing agreements.

Common Violations

1.Collecting **device identifiers (ADID, IDFA)** via SDKs before obtaining explicit, purpose-specific consent from users.
2.Automatically sharing user data with **multiple ad networks** (e.g., Google Ads, Meta Ads) without separate, granular consent for each partner.
3.Lacking **Data Processing Agreements (DPAs)** with your attribution SDK providers, failing to define their role as Data Processors.

The Immediate Fix

Immediately conduct an **inventory of all mobile attribution SDKs** embedded in your app. Map out precisely what **personal data** they collect and with whom they share it. Implement a clear, prominent consent gate **before** any SDK initialises and begins data collection.