Abstract: In particular embodiments, a consent conversion optimization system is configured to test two or more test consent interfaces against one another to determine which of the two or more consent interfaces results in a higher conversion percentage (e.g., to determine which of the two or more interfaces lead to a higher number of end users and/or data subjects providing a requested level of consent for the creation, storage and use or cookies by a particular website). The system may, for example, analyze end user interaction with each particular test consent interface to determine which of the two or more user interfaces: (1) result in a higher incidence of a desired level of provided consent; (2) are easier to use by the end users and/or data subjects (e.g., take less time to complete, require a fewer number of clicks, etc.); (3) etc.

Abstract: In various embodiments, a Consent Refresh, Re-Prompt, and Recapture System is configured to interface with a Consent Receipt Management System in order to, for example: (1) monitor previously provided consent by one or more data subjects that may be subject to future expiration; (2) monitor a data subject's activity to anticipate the data subject attempting an activity that may require a level of consent (e.g., for the processing of particular data subject data) that is higher than the system has received; and/or (3) identify other changes in circumstances or triggering events for a data subject that may warrant a refresh or recapture (e.g., or attempted capture) of a particular required consent (e.g., required to enable an entity to properly or legally execute a transaction with a data subject). The system may then be configured to automatically refresh, re-prompt for, and/or recapture consent as necessary.

Abstract: A consent receipt management system may include one or more consent validity scoring systems. In various embodiments, a consent validity scoring system may be configured to detect a likelihood that a user is correctly consenting via a web form. The system may be configured to determine such a likelihood based at least in part on one or more data subject behaviors while the data subject is completing the web form in order to provide consent. In various embodiments, the system is configured to monitor the data subject behavior based on, for example: mouse speed; mouse hovering; mouse position; keyboard inputs; an amount of time spent completing the web form; etc. The system may be further configured to calculate a consent validity score for each generated consent receipt based at least in part on an analysis of the data subject's behavior.

Abstract: In particular embodiments, a consent receipt management system is configured to track and analyze one or more attributes of a user interface via which data subjects are requested to provide consent (e.g., consent to process, collect, and/or store personal data) in order to determine which of the one or more attributes are more likely to result in a successful receipt of consent from a data subject. For example, the system may be configured to analyze one or more instances in which one or more data subjects provided or did not provide consent in order to identify particular attributes and/or factors that may increase a likelihood of a data subject providing consent.

Abstract: A consent receipt management system is configured to: (1) automatically cause a prior, validly received consent to expire (e.g., in response to a triggering event); and (2) in response to causing the previously received consent to expire, automatically trigger a recapture of consent. In particular embodiments, the system may, for example, be configured to cause a prior, validly received consent to expire in response to one or more triggering events such as: (1) a passage of a particular amount of time since the system received the valid consent (e.g., a particular number of days, weeks, months, etc.); (2) one or more changes to a purpose of the data collection for which consent was received; (3) one or more changes to a privacy policy associated with the consent; (4) one or more changes to one or more rules that govern the collection or demonstration of validly received consent; etc.

Abstract: A consent receipt management system may, for example, be configured to track data on behalf of an entity that collects and/or processes persona data related to: (1) who consented to the processing or collection of personal data; (2) when the consent was given (e.g., a date and time); (3) what information was provided to the consenter at the time of consent (e.g., a privacy policy, what personal data would be collected following the provision of the consent, for what purpose that personal data would be collected, etc.); (4) how consent was received (e.g., one or more copies of a data capture form, webform, etc. via which consent was provided by the consenter); (5) when consent was withdrawn (e.g., a date and time of consent withdrawal if the consenter withdraws consent); and/or (6) any other suitable data related to receipt or withdrawal of consent.

Abstract: In various embodiments, a personal data processing system may require guardian consent (e.g., parental consent) for a data subject in order to collect, store, and or process the subject's personal data. The system may prompt the data subject to initiate a request for guardian consent or the system may initiate a request for guardian consent without initiation from the data subject (e.g., in the background of a transaction). In some embodiments, the system may require guardian consent when a data subject is under the age for valid consent for the particular type of personal data that will be collected as part of a particular transaction. Data processing systems may generate and store one or more consent records memorializing valid consent for data processing from data subjects and/or from guardians on their behalf (e.g., in the case of a minor data subject).

Abstract: In particular embodiments, a data processing consent management system may be configured to utilize one or more age verification techniques to at least partially authenticate the data subject's ability to provide valid consent (e.g., under one or more prevailing legal requirements). For example, according to one or more particular legal or industry requirements, an individual (e.g., data subject) may need to be at least a particular age (e.g., an age of majority, an adult, over 18, over 21, etc.) in order to provide valid consent. Consent receipt management systems may be implemented in the context of any suitable privacy management system that is configured to ensure compliance with one or more legal or industry standards related to the collection and/or storage of private information. In particular embodiments, the system is configured to manage one or more consent receipts between a data subject and an entity.

Abstract: A consent receipt management and data processing system may be configured to provide a centralized repository of consent receipt preferences for a plurality of data subjects. In various embodiments, the system is configured to provide an interface to the plurality of data subjects for modifying consent preferences and capture consent preference changes. The system may provide the ability to track the consent status of pending and confirmed consents. In other embodiments, the system may provide a centralized repository of consent receipts that a third-party system may reference when taking one or more actions related to a processing activity.

Abstract: A privacy management system that is configured to process one or more data subject access requests and further configured to: (1) enable a data protection officer to submit an audit request; (2) perform an audit based on one or more parameters provided as part of the request (e.g., one or more parameters such as how long an average request takes to fulfill, one or more parameters related to logging and/or tracking data subject access requests and/or complaints from one or more particular customer advocacy groups, individuals, NGOs, etc.); and (3) provide one or more audit results to the officer (e.g., by displaying the results on a suitable display screen).

Abstract: In various embodiments, a system may be configured to analyze data for a particular consent capture point to identify a change in consent capture rate from the capture point. The system may, for example, be configured to automatically detect that the system has stopped receiving consent records from a particular capture point. In such embodiments, the system may be configured to generate an alert, and transmit the alert to any suitable individual (e.g., privacy team member, IT department member, etc.) regarding the capture point. The system may, for example, enable an entity to identify one or more capture points that may have become non-functional (e.g., as a result of one or more changes to the capture point).

Abstract: A consent receipt management system may include one or more consent validity scoring systems. In various embodiments, a consent validity scoring system may be configured to detect a likelihood that a user is correctly consenting via a web form. The system may be configured to determine such a likelihood based at least in part on one or more data subject behaviors while the data subject is completing the web form in order to provide consent. In various embodiments, the system is configured to monitor the data subject behavior based on, for example: mouse speed; mouse hovering; mouse position; keyboard inputs; an amount of time spent completing the web form; etc. The system may be further configured to calculate a consent validity score for each generated consent receipt based at least in part on an analysis of the data subject's behavior.

Abstract: In particular embodiments, a consent receipt management system is configured to track and analyze one or more attributes of a user interface via which data subjects are requested to provide consent (e.g., consent to process, collect, and/or store personal data) in order to determine which of the one or more attributes are more likely to result in a successful receipt of consent from a data subject. For example, the system may be configured to analyze one or more instances in which one or more data subjects provided or did not provide consent in order to identify particular attributes and/or factors that may increase a likelihood of a data subject providing consent.

Abstract: A consent receipt management system may, for example, be configured to track data on behalf of an entity that collects and/or processes persona data related to: (1) who consented to the processing or collection of personal data; (2) when the consent was given (e.g., a date and time); (3) what information was provided to the consenter at the time of consent (e.g., a privacy policy, what personal data would be collected following the provision of the consent, for what purpose that personal data would be collected, etc.); (4) how consent was received (e.g., one or more copies of a data capture form, webform, etc. via which consent was provided by the consenter); (5) when consent was withdrawn (e.g., a date and time of consent withdrawal if the consenter withdraws consent); and/or (6) any other suitable data related to receipt or withdrawal of consent.

Abstract: In particular embodiments, a consent receipt management system is configured to track and analyze one or more attributes of a user interface via which data subjects are requested to provide consent (e.g., consent to process, collect, and/or store personal data) in order to determine which of the one or more attributes are more likely to result in a successful receipt of consent from a data subject. For example, the system may be configured to analyze one or more instances in which one or more data subjects provided or did not provide consent in order to identify particular attributes and/or factors that may increase a likelihood of a data subject providing consent.

Abstract: In particular embodiments, a consent conversion optimization system is configured to test two or more test consent interfaces against one another to determine which of the two or more consent interfaces results in a higher conversion percentage (e.g., to determine which of the two or more interfaces lead to a higher number of end users and/or data subjects providing a requested level of consent for the creation, storage and use or cookies by a particular website). The system may, for example, analyze end user interaction with each particular test consent interface to determine which of the two or more user interfaces: (1) result in a higher incidence of a desired level of provided consent; (2) are easier to use by the end users and/or data subjects (e.g., take less time to complete, require a fewer number of clicks, etc.); (3) etc.

Abstract: An automated process blocking system may be configured to automatically block one or more processes based on received user consent data. For example, a particular data subject may provide consent for an entity to process particular data associated with the data subject for one or more particular purposes. The system may be configured to: (1) determine that one or more entity systems are processing one or more pieces of personal data associated with a data subject; (2) identify at least one process for which the one or more pieces of personal data are being processed; (3) determine, using a consent receipt management system, whether the data subject has provided consent for the processing of the one or more pieces of personal data for the at least one process; and (4) in response to determining that the data subject has not provided valid consent, automatically blocking the processing.

Abstract: In various embodiments, a Consent Refresh, Re-Prompt, and Recapture System is configured to interface with a Consent Receipt Management System in order to, for example: (1) monitor previously provided consent by one or more data subjects that may be subject to future expiration; (2) monitor a data subject's activity to anticipate the data subject attempting an activity that may require a level of consent (e.g., for the processing of particular data subject data) that is higher than the system has received; and/or (3) identify other changes in circumstances or triggering events for a data subject that may warrant a refresh or recapture (e.g., or attempted capture) of a particular required consent (e.g., required to enable an entity to properly or legally execute a transaction with a data subject). The system may then be configured to automatically refresh, re-prompt for, and/or recapture consent as necessary.

Abstract: A consent receipt management system may, for example, be configured to track data on behalf of an entity that collects and/or processes persona data related to: (1) who consented to the processing or collection of personal data; (2) when the consent was given (e.g., a date and time); (3) what information was provided to the consenter at the time of consent (e.g., a privacy policy, what personal data would be collected following the provision of the consent, for what purpose that personal data would be collected, etc.); (4) how consent was received (e.g., one or more copies of a data capture form, webform, etc. via which consent was provided by the consenter); (5) when consent was withdrawn (e.g., a date and time of consent withdrawal if the consenter withdraws consent); and/or (6) any other suitable data related to receipt or withdrawal of consent.

Abstract: A centralized data repository system, in various embodiments, is configured to provide a central data-storage repository (e.g., one or more servers, databases, etc.) for the centralized storage of personally identifiable information (PII) and/or personal data for one or more particular data subjects. In particular embodiments, the centralized data repository may enable the system to populate one or more data models (e.g., using one or more suitable techniques described above) substantially on-the-fly (e.g., as the system collects, processes, stores, etc. personal data regarding a particular data subject). In this way, in particular embodiments, the system is configured to maintain a substantially up-to-date data model for a plurality of data subjects (e.g., each particular data subject for whom the system collects, processes, stores, etc. personal data).