What is Opt-In vs. Opt-Out?

Opt-in and opt-out represent two fundamentally different approaches to obtaining consent for personal data processing. In an opt-in model, individuals must take an affirmative action (such as checking a box or clicking a button) to agree to data processing before it can begin. The GDPR generally requires opt-in consent, where pre-ticked boxes or inaction do not constitute valid consent. Opt-in is considered the more privacy-protective approach.

In an opt-out model, data processing is assumed to be permitted unless the individual takes action to refuse or withdraw. The CCPA originally followed an opt-out model for the sale of personal information for consumers aged 16 and over, requiring businesses to provide a "Do Not Sell My Personal Information" link. Many direct marketing regulations also use an opt-out approach for existing customer relationships. The DPDPA requires opt-in consent for processing but allows certain legitimate uses without consent.

ConsentIQ supports both opt-in and opt-out consent models, allowing organizations to configure the appropriate model for each jurisdiction and processing activity. This is essential for organizations operating globally, where different regions may require different consent approaches for the same type of processing.