A child profile is not a marketing sandbox, however elegantly the dashboard may suggest otherwise.

Behavioural tracking restrictions for children's data

Behavioural tracking restrictions for children's data under the DPDP Act require product, growth, analytics and engineering teams to look beyond the consent banner. A child account can generate a large trail of clicks, pauses, purchases, searches, recommendations, location signals, device events, watch time, learning activity, game progression, friend interactions and support messages. The question is not only whether the business has permission to collect data. The question is whether the product is tracking or monitoring a child in a way the law restricts.

For many Indian digital products, this is a practical design problem. Teams often use the same analytics stack for adults and children, then add an age field or parental consent step at the edge. That is usually too shallow. Child-account controls need to reach event taxonomies, SDK settings, recommendation logic, advertising pipes, CRM segments, experiments and retention reports.

What to review

Start with the behavioural event map. List every event collected from users who may be children: page views, taps, searches, scrolls, watch time, lesson progress, gameplay activity, chat events, purchase attempts, wishlists, notifications, referrals, complaints and device identifiers. The review should identify which events are necessary for the service, which support safety or security, and which primarily support personalisation, targeting, engagement or advertising.

Review audience-building and segmentation. A child account should not be quietly added to remarketing lists, lookalike audiences, lifecycle nudges, churn-risk groups, premium upsell cohorts or behavioural advertising segments. The risk is highest when data flows automatically from the product into marketing platforms, analytics tools or customer data platforms.

Check recommendation systems and experiments. Product teams should distinguish between basic service features and behavioural monitoring that shapes content, rewards, pricing, prompts or rankings for a child. A recommendation engine, A/B test or engagement loop may need a child-specific control even if the same feature is acceptable for adult users.

Review vendors and SDK defaults. Advertising SDKs, analytics libraries, push notification tools, attribution pixels, session replay tools and product analytics platforms can collect far more data than the feature team expects. Child-account settings should be tested in the live implementation, not merely noted in a vendor questionnaire.

Implementation steps

Create a child data event register. The register should show the event name, data fields, purpose, owner, destination system, retention period and whether the event is enabled for child accounts. Use it to separate operational events from tracking, behavioural monitoring and advertising use cases.

Build a child-account suppression layer. When a user is known or treated as a child, the product should suppress behavioural advertising tags, remarketing syncs, session replay, unnecessary enrichment, growth experiments and profiling workflows. This should be enforced in code, tag management, SDK configuration and downstream data pipelines.

Make purpose boundaries visible. If an event is retained for security, abuse prevention, fraud checks, support or core service delivery, label it as such and block reuse for unrelated personalisation or marketing. Purpose labels should travel with the data where possible, especially into warehouses and customer engagement tools.

Test edge cases. Review what happens when a child changes age status, a parent withdraws consent, an account is shared, a support agent exports a profile, or a marketing tool receives historical events. Many tracking risks appear in transitions rather than the normal happy path.

Keep evidence for decisions. Store screenshots of SDK settings, tag rules, suppression tests, event-register approvals, data-flow diagrams, vendor responses and engineering tickets. This gives privacy, product and leadership teams a factual basis for future reviews.

Common mistakes

• Assuming parental consent alone allows behavioural tracking, targeted advertising or broad engagement profiling for child users.
• Disabling ad campaigns in the front end while leaving analytics, pixels or audience syncs active in the background.
• Treating recommendation, experimentation and notification logic as product optimisation without checking child-specific monitoring risk.

How DataNuance can help

DataNuance helps teams audit behavioural tracking restrictions for children's data across product instrumentation, vendor tools, analytics, advertising, experiments and data warehouses. We produce an event-level control map that shows what should continue, what should be suppressed, and what needs leadership approval before launch.

For a children's data tracking review under the DPDP Act, contact DataNuance.

FAQs

Is every analytics event prohibited for child accounts?

No. Some events may be needed for service delivery, safety, fraud prevention, debugging, support or legal records. The issue is whether the event supports tracking, behavioural monitoring, targeted advertising or unrelated profiling.

Can a product personalise content for child users?

It depends on the design and purpose. Basic product settings may be different from behavioural monitoring that uses a child's activity trail to shape recommendations, nudges or commercial outcomes. The safer approach is to review the logic before launch.

Do vendor SDK settings need separate child controls?

Yes. Vendor defaults can send identifiers, events or audience data even when the product interface looks compliant. Child-account controls should be tested in the actual SDK and data pipeline.

What should be included in the evidence file?

Keep the event register, tag and SDK settings, suppression rules, vendor review notes, testing screenshots, retention decisions, data-flow diagrams and approvals for any child-specific exceptions.

Sources

Digital Personal Data Protection Act, 2023, Ministry of Electronics and Information Technology official copy.

Digital Personal Data Protection Rules, 2025, Ministry of Electronics and Information Technology official copy.