Consent has always existed in pharma marketing, but the meaning of consent under the Digital Personal Data Protection Act 2023 is very different from how it was understood earlier. Many pharma teams still use the terms explicit consent and opt in interchangeably, assuming they represent the same thing.
Under DPDP, they do not.
This distinction is not semantic. It directly affects whether doctor and patient engagement programs are compliant, auditable, and defensible. Misunderstanding this difference is one of the most common reasons pharma marketing workflows fail DPDP requirements.
This article explains explicit consent versus opt in from a DPDP perspective, using real pharma marketing scenarios to show why older opt in models no longer work and how teams must adapt.
Opt in, as used historically in pharma marketing, usually meant a one time agreement to receive communication. Doctors opted in during conference registrations, website sign ups, field interactions, or through partner platforms.
Once captured, this opt in was treated as broad permission. It was assumed to apply across channels, content types, and time periods. Marketing teams rarely revisited the scope of consent once it entered the CRM.
This approach evolved because regulatory enforcement around data use was limited and expectations were unclear.
DPDP changes this foundation.
Explicit consent under DPDP requires a higher standard.
Consent must be clear and affirmative. The individual must understand what data is being collected, how it will be used, and for what purpose. Consent must be specific, not generic. It must be recorded and capable of being withdrawn easily.
This makes explicit consent an operational requirement rather than a formality. It governs how data can be used at every stage of processing.
Opt in models often fail DPDP requirements because they lack clarity and scope.
Many opt ins do not specify purpose clearly. They do not distinguish between educational and promotional communication. They do not define channels. They rarely explain how long data will be used.
Under DPDP, these gaps matter. Consent that does not clearly map to purpose and use cannot be relied upon during audits or disputes.
This is why opt in alone is no longer sufficient.
Another key difference between opt in and explicit consent is channel specificity.
Traditional opt ins often covered all communication implicitly. Explicit consent under DPDP requires clarity on how communication will occur.
A doctor may consent to receive email updates but not WhatsApp messages. A patient may consent to program related communication but not marketing outreach.
Systems must respect these distinctions during execution. Generic opt ins do not provide this level of control.
DPDP introduces purpose limitation as a core principle.
Consent must be linked to a defined purpose. If the purpose changes, fresh consent may be required. Consent for one activity does not automatically extend to another.
Opt in models rarely accounted for this. Once consent was captured, it was reused across campaigns with different objectives.
Explicit consent requires teams to think more carefully about how and why data is used.
Explicit consent reshapes marketing workflows from the ground up.
Campaign planning must start with consent availability. Segmentation must consider consent scope. Automation must validate consent at the moment of outreach.
This introduces more discipline into execution. While it may reduce superficial reach, it improves relevance and compliance.
This is why DPDP-compliant HCP marketing frameworks are increasingly necessary for pharma teams adapting to explicit consent requirements.
Most legacy CRMs store consent as a simple flag. This is insufficient under DPDP.
Explicit consent requires purpose mapping, channel mapping, and withdrawal tracking. CRMs must be able to enforce consent dynamically, not just store it.
Databases built on opt in assumptions often require significant redesign to meet explicit consent standards.
The distinction between opt in and explicit consent is even more critical in patient programs.
Patient data is often more sensitive. Consent must clearly explain how data will be used, shared, and retained. Generic opt ins create significant risk.
Explicit consent ensures patients understand their participation and retain control over their data.
During audits, regulators look for evidence.
They ask how consent was obtained, what the individual was told, and how consent governs actual data use. Opt in records that lack context or scope are difficult to defend.
Explicit consent, when implemented correctly, creates a clear audit trail that aligns with DPDP expectations.
Beyond compliance, explicit consent improves trust.
Doctors and patients are more likely to engage when they understand how their data is used and feel in control. Clear consent reduces complaints, opt outs, and reputational risk.
In the long term, explicit consent supports more sustainable engagement models.
Moving from opt in to explicit consent requires deliberate action.
Pharma teams must review existing consent records, redesign consent capture flows, update systems, and retrain teams. This transition cannot be achieved through policy updates alone.
Operational changes are necessary.
The difference between opt in and explicit consent is not a legal nuance. It defines whether pharma marketing workflows are compliant under DPDP or exposed to risk.
Explicit consent requires more effort, but it also enables clearer engagement, stronger trust, and audit ready execution.
If you are evaluating how to move from legacy opt in models to DPDP-compliant HCP marketing with explicit consent enforcement, this page explains how consent-first engagement is implemented in real pharma workflows.