CX Customer Interaction Profile
The Interaction Profile in Expertflow CX is the foundation for delivering personalized customer experiences and orchestrating customer journeys, as it recognizes the customer as the same individual regardless of how or where they interact with your business. You may keep a contact personal details, channel identities, contact preferences or attributes necessary to integrate with your business applications such as CRM.
This ensures that a customer is recognized as the same individual, regardless of the communication channel (voice, chat, email, or social media). This integrated data and unified view drive several key benefits:
Enables personalized orchestration: The profile allows organizations to deliver highly personalized experiences that meet each individual's unique needs and preferences. For example, by using customer profile parameters, intelligent conversational flows can be developed to tailor the experience. This could include sending scheduled reminders for an outstanding bill or service renewal, immediately offering a post-interaction survey, or scheduling a personalized callback for a customer whose past interactions indicate they require special attention.
Drives real-time decisions: The platform uses this data to enable real-time decisions, such as routing an interaction to a specific queue or a more suitable agent based on the customer's value or recent activity.
Enhances agent efficiency: This integrated data provides human agents with essential context about customer interactions, so they don't have to ask customers about their previous engagements repeatedly.
Customer Data Syncing with Business Applications
Expertflow CX enables the synchronization of customer data from external applications. This sync allows the platform to orchestrate intelligent customer journeys by:
Route to the right personnel: Ensure the customer is routed to the agent with the right skills whenever they contact the Contact Center.
Empower agents: Provide the customer service representative with the most current information required to service the request.
Drive AI effectiveness: Enable AI agents to pitch accurate answer suggestions and recommend more precise next-best actions based on the customer's history and behavior.
For example, the platform can sync customer tags and segment information from your CRM and analyze recent activities tracked from other systems. Combined with the customer's recent interactions, this data allows for informed next-best actions, such as launching a personal callback for customers who recently complained about a specific service.
Data Security and Privacy
The Interaction Profile is built with information security and privacy concerns highlighted in data protection standards such as GDPR, HIPAA, and PCI DSS. The system ensures data safety through:
Encryption
All profile data is secured through encryption, both when the data is in transit across networks and when it is stored (at rest).
Granular Access Controls
A "least privilege" security model is enforced through granular access controls and Multi-Factor Authentication (MFA). This ensures only authorized personnel can view sensitive profile and interaction data.
Automated Anomaly Detection
The platform continuously monitors conversation and data access patterns for unusual or suspicious behavior, helping to prevent unauthorized access attempts to customer data.
Planned enhancements
Enhanced protection is forthcoming with PII masking and redaction features, alongside configurable data retention policies to meet regulatory requirements for data lifecycle management.
Custom Fields
The Expertflow CX platform also allows businesses to define the specific types of customer fields to store relevant information. Add as many fields as required to capture any demographic, psychographic, or behavioral data, such as age, gender, account type, or city. This profile data can then be used for tailored marketing campaigns or to make real-time decisions during an active customer interaction, such as routing a customer to a more relevant queue, adding a new agent to a conversation, and kicking out the previous one.
To learn how to define customer fields, see Customer Schema.
For more granular details of the Customer object, see here.