Examine Features for Service
Learning Objectives
After completing this unit, you’ll be able to:
- Optimize the Service Console by integrating it with real-time customer insights.
- Design and deploy proactive service automations based on unified customer behavior and risk scores.
- Measure the impact of Data 360 on service and sales KPIs, such as CSAT and retention.
Empower the Intelligent Service Rep
In unit 1, you learned how Data 360 acts as a unified data layer, transforming Salesforce from a system of record into a system of reference. For Agentforce Service, this is where the proactive customer journey begins. Service is no longer a cost center focused reactively on closing cases. It becomes a retention tool powered by a 360-degree view of each customer.
When you connect Service with Data 360, you help service reps transcend basic case management. They gain access to insights—sourced from Sales, Marketing, and external systems—that are harmonized into a unified individual profile. These insights help service reps to resolve the immediate issue and any underlying customer challenges, turning moments of friction into opportunities for relationship growth.
In this unit, you explore three distinct business scenarios that demonstrate this service transformation. To focus on Data 360 strategy, this unit discusses the “what” and “why”of these scenarios without the step-by-step configuration.
Business Case 1: Proactive Customer Retention
High-value customer churn—often triggered by a negative service experience—is a significant business challenge for most enterprises.
Business Problem | Service teams lack context to identify which open cases pose an immediate retention risk, leading to standardized queue handling regardless of the customer’s value or sales cycle stage. |
Data 360 Solution | Data 360 unifies data from Sales (Annual Contract Value, renewal date, current pipeline opportunity stage) and Service (case volume, open case age, CSAT score history). Identity Resolution ensures that a high-value lead record links to the customer’s current contact record. Then, Data 360 runs a calculated insight called Retention Risk Score. This score flags any open case for a customer who has a renewal pending or a high ACV. The service team creates a flow that uses the score to run automated processes for high-risk customers. |
Business Value | Service teams receive automated, prioritized routing for high-risk cases and a visual VIP Account Risk alert directly in the service console. Service reps can then proactively route the case to a manager. Sales teams benefit as well. When a sales rep receives an alert that their high-value client is in a service queue, they can intervene with context and save the deal—which preserves revenue and improves service. |
Business Case 2: Intelligent Routing to Experts
The inability to maintain context when a customer switches channels, such as moving from an AI agent to a voice call with a service rep, leads to frustration and slower resolution times.
Business Problem | Service reps lose efficiency and customer trust when forced to ask for information the customer has already provided, or when they’re unaware of the customer’s recent product or service usage and marketing interactions. |
Data 360 Solution | Data 360 ingests interaction data from all sources—like website clickstream data, external IoT device usage data, and prior Marketing interactions. This unified, real-time profile appears in the service console’s unified workspace. The real-time data helps a service rep or triggers a predefined workflow to route an incoming call directly to a rep with specific product or service expertise. It can also create a Slack swarm with a team of experts. Both approaches reduce transfer and resolution times. |
Business Value | The service console instantly surfaces the customer’s real-time journey, including the last five web pages visited and the specific product or service they used. As a result, Service teams experience a measurable increase in first contact resolution (FCR) and a decrease in average handle time (AHT). Sales teams benefit from a superior customer experience that generates high Customer Satisfaction (CSAT) scores, which makes future upsell conversations easier. |
Business Case 3: Automate Entitlement and Adoption Management
Post-sale handoffs between sales and service often result in confusion over customer entitlements, leading to frustration and missed opportunities for adoption.
Business Problem | Service reps waste time manually verifying a customer’s service level agreement (SLA) or entitlements because the contractual data lives in disconnected Sales objects or in an external billing system. Customer success managers struggle to identify customers who have purchased a product or service but haven’t used it. |
Data 360 Solution | Data 360 consolidates contract and purchased product data from Sales with external usage statistics. This creates a primary Entitlement Data Model. Service queries this model via Data 360 to dynamically display precise entitlement rules and purchased product configurations directly on each case. The service team creates an Adoption Health Score Calculated Insight based on low usage metrics. They create a flow that uses the score to automate case assignment to a rep trained in product coaching, not just resolution. |
Business Value | Service teams reduce time spent on entitlement verification, which accelerates case closure and adherence to SLAs. The Adoption Health Score helps service teams proactively engage customers before they become dissatisfied. Sales teams benefit from improved product adoption—a key driver for successful contract renewals and expansion—turning service-led check-ins into future revenue opportunities. |
Wrap It Up
Data 360 brings external behavior and cross-product or services sales context into the Service Console. As a result, customer interactions evolve from a series of fragmented transactions to a single, intelligent, unified relationship. This strategic integration is the key to providing proactive, high-value service.