Abstract: A method for signature extraction in a data management platform (DMP) includes receiving personally identifiable information (PII) data of customers from one or more clients at the DMP; generating non-PII data using the PI data; and building a signature for each of the customers using the non-PII data. The method further comprises generating a customer DNA for each customer, using the PII data and the signatures. The method further comprises generating segments for each customer using the PII data. The method further comprises generating segments for each customer using the non-PII data. The non-PII data comprises at least one of an ID (identifier), signature, psychographics, and demographics of each customer. The DMP is further configured to generate a signature of each customer. The signature is unique for each customer and the identity of the customer is not known.

Abstract: A method for billboards in a data management platform (DMP) includes: receiving an indication from a user during an interaction between the user and an agent that the user would like to hear an offer; determining at least one offer to play to the customer; determining statistics regarding at least one of the characteristics, features, or aspects of the at least one offer that customers have indicated as liking or have acted on; determining measurements for KPIs regarding at least one of the interaction or the at least one offer, and other metrics; generating one or more billboards using the statistics and the measurements; and announcing the one or more billboards to one or more of clients, contact centers, or customers. The billboards comprise at least one of the characteristics, features, or aspects of the at least one offer that customers have indicated as liking or have acted on.

Abstract: A Virtual agent that is a fully automated computer software solution that can engage with real people, customers, clients and even other agents. Virtual agents have personality with animation and engage with the customer via text or voice or a combination of both as an actual person. Virtual agents are able to answer customer questions and provide information to address their issues. Virtual agents transfer calls to live agents if they cannot address customer issues.

Abstract: A method for chat advertisement includes: monitoring a chat session between a customer and an agent of a contact center; determining an ad based on the monitoring; determining a time or an event to send the ad to the customer; and sending the ad to the customer when the time or the event occurs. A system for chat advertisement includes: a processor configured to monitor a chat session between a customer and an agent, for at least one of context, keywords, tones, emotions, demographics, psychographics, or an identifier of the customer, and to provide an ad to a device of the customer during the chat session pursuant to the monitoring; and a database for storing the ad.

Abstract: Optimizing a number pool for dynamic number insertion (DNI) used for call attribution is achieved by considering physical characteristics of the DNI number assigned to a specific channel versus characteristics of consumers within that channel—such as by identifying more optimum DNI number characteristics and modifying a DNI number pool based on the more optimum DNI number characteristics—in order to make more optimized DNI number assignments.

Abstract: Disclosed is a contact center that stores data related to a consumer in a blockchain. More specifically, disclosed is a methodology for conducting and concluding a communication with the consumer; creating a record of the communication; encrypting the record of the communication with asymmetric cryptography; and updating the blockchain with the record of the communication.

Abstract: Disclosed is a contact center that stores data related to a consumer in a blockchain. More specifically, disclosed is a methodology for conducting and concluding a communication with the consumer; creating a record of the communication; encrypting the record of the communication with asymmetric cryptography; and updating the blockchain with the record of the communication.

Abstract: Disclosed are various implementations directed to optimizing a number pool for dynamic number insertion (DNI) used for call attribution by considering physical characteristics of the DNI number assigned to a specific channel versus characteristics of consumers within that channel to make more optimized DNI number assignments.

Abstract: A method for predictive marketing includes: receiving information that an event is expected to happen or is happening; predicting which attributes of customers will be associated with calls or chats directed to the event; predicting which customers will contact a contact center based on the predicted attributes; and taking action based on the predictions. A system for predictive marketing includes: an intelligent database for storing interaction data of customers; and a data management platform (DMP) configured to receive customer data from the intelligent database, analyze the customer data, determine which of the customers will be affected by an event, determine how the customers will be affected by the event, and take action. A predictive marketing platform includes: data sources; and a marketing and ad platform configured to receive data from the data sources, make predictions based on the data; and take action based on the predictions.

Abstract: A method for proactive marketing includes: receiving information that an event is expected to happen or is happening; determining attributes of customers that will be affected by the event; and taking action based on the determined attributes. A system for proactive marketing includes: an intelligent database for storing interaction data of customers; and a data management platform (DMP) configured to receive customer data from the intelligent database, determine attributes of customers that will be affected by an event, and take action based on the determined attributes. A proactive marketing platform includes: data sources; and a marketing and ad platform configured to receive data from the data sources, determine attributes based on the data; and take action based on the determined attributes.

Abstract: A customer identifier comprises a first segment and a second segment, wherein each segment is directed to at least one feature of a customer, wherein each feature is based on one or more characteristics of the customer or another customer. The one or more characteristics comprises at least one of demographics, voice signature, psychographics, behaviors, or phone number. The behaviors comprise at least one of sentiment of the customer or personality of the customer. Each segment has a weighting. The first segment and the second segment are comprised within a customer fingerprint or a customer DNA. A system for customer identifier for a data management platform (DMP) comprises an analytics and audience insight module configured to perform analytics on data, and provide insights regarding customers; and a dashboard indicating high risk customers, moderate risk customer, and low risk customers.

Abstract: A system of data activation includes a data management platform (DMP) configured to receive segments for customers, create an audience of customers using the segments, and activate against at least some of the segments; and an intelligent database configured to store the segments. A system for data segmentation for customers includes a DMP configured to receive data from sources, to receive a request for a segment, and to generate at least one segment using the data; and an intelligent database configured to store the at least one segment.

Abstract: A data management platform (DMP) integrates data by anonymously integrating data streams from data sources. The DMP consolidates and unifies audiences for cross channel and contextual targeting. The DMP provides analytics by providing audience insights. The DMP activates against specific segments. The DMP provides insights, such as audience intelligence and segmentation. By integrating the data sets, richer audience profiles can be created. This allows insights to enhance the web experience, fuel strategic direction, and build audience segments for targeting. Insights provide dashboard access for a client's own data, and/or comprehensive data based on multiple clients' data. An intelligent database is a database of data pertaining to agents, users, interactions, and clients. Unique data can be extracted, inferred, and/or correlated from the intelligent database.

Abstract: A system of customer tracking is provided. The system includes: a data management platform (DMP) configured to receive personally identifiable information (PII) data of a plurality of customers and generate non-PII data using the PII data; and an intelligent database to store the non-PII data. A method of customer tracking in a DMP is provided. The method includes: providing ads or songs to a customer while the customer is on hold during an interaction with an agent of a contact center; tracking data regarding selections by the customer pertaining to the ads or songs; and generating statistics based on the selections and the data.

Abstract: A data management platform (DMP) integrates data by anonymously integrating data streams from data sources. The DMP consolidates and unifies audiences for cross channel and contextual targeting. The DMP provides analytics by providing audience insights. The DMP activates against specific segments. The DMP provides insights, such as audience intelligence and segmentation. By integrating the data sets, richer audience profiles can be created. This allows insights to enhance the web experience, fuel strategic direction, and build audience segments for targeting. Insights provide dashboard access for a client's own data, and/or comprehensive data based on multiple clients' data. An intelligent database is a database of data pertaining to agents, users, interactions, and clients. Unique data can be extracted, inferred, and/or correlated from the intelligent database.

Abstract: A customer identifier comprises a first segment and a second segment, wherein each segment is directed to at least one feature of a customer, wherein each feature is based on one or more characteristics of the customer or another customer. The one or more characteristics comprises at least one of demographics, voice signature, psychographics, behaviors, or phone number. The behaviors comprise at least one of sentiment of the customer or personality of the customer. Each segment has a weighting. The first segment and the second segment are comprised within a customer fingerprint or a customer DNA. A system for customer identifier for a data management platform (DMP) comprises an analytics and audience insight module configured to perform analytics on data, and provide insights regarding customers; and a dashboard indicating high risk customers, moderate risk customer, and low risk customers.

Abstract: A system of data activation includes a data management platform (DMP) configured to receive segments for customers, create an audience of customers using the segments, and activate against at least some of the segments; and an intelligent database configured to store the segments. A system for data segmentation for customers includes a DMP configured to receive data from sources, to receive a request for a segment, and to generate at least one segment using the data; and an intelligent database configured to store the at least one segment.

Abstract: A data management platform (DMP) integrates data by anonymously integrating data streams from data sources. The DMP consolidates and unifies audiences for cross channel and contextual targeting. The DMP provides analytics by providing audience insights. The DMP activates against specific segments. The DMP provides insights, such as audience intelligence and segmentation. By integrating the data sets, richer audience profiles can be created. This allows insights to enhance the web experience, fuel strategic direction, and build audience segments for targeting. Insights provide dashboard access for a client's own data, and/or comprehensive data based on multiple clients' data. An intelligent database is a database of data pertaining to agents, users, interactions, and clients. Unique data can be extracted, inferred, and/or correlated from the intelligent database.

Abstract: A system of customer tracking is provided. The system includes: a data management platform (DMP) configured to receive personally identifiable information (PII) data of a plurality of customers and generate non-PII data using the PII data; and an intelligent database to store the non-PII data. A method of customer tracking in a DMP is provided. The method includes: providing ads or songs to a customer while the customer is on hold during an interaction with an agent of a contact center; tracking data regarding selections by the customer pertaining to the ads or songs; and generating statistics based on the selections and the data.

Abstract: A customer identifier comprises a first segment and a second segment, wherein each segment is directed to at least one feature of a customer, wherein each feature is based on one or more characteristics of the customer or another customer. The one or more characteristics comprises at least one of demographics, voice signature, psychographics, behaviors, or phone number. The behaviors comprise at least one of sentiment of the customer or personality of the customer. Each segment has a weighting. The first segment and the second segment are comprised within a customer fingerprint or a customer DNA. A system for customer identifier for a data management platform (DMP) comprises an analytics and audience insight module configured to perform analytics on data, and provide insights regarding customers; and a dashboard indicating high risk customers, moderate risk customer, and low risk customers.