Discover Features for Sales
Learning Objectives
After completing this unit, you’ll be able to:
- Use unified customer profiles to generate intelligent sales-ready leads and opportunities.
- Apply real-time behavioral data to increase deal velocity and boost sales conversion rates.
- Measure the impact of Data 360 on pipeline generation and forecast accuracy.
Empower the Intelligent Seller
In the current landscape, the most effective sales teams are those that transition from reactive selling to proactive engagement. Data 360 is the engine that drives this transition for sales. It breaks down the contextual barriers that previously limited sales reps and sales managers.
Instead of relying solely on demographic or firmographic data in Agentforce Sales, Data 360 enriches every lead, contact, and opportunity record with a complete, real-time picture of a unified individual. This single source of truth incorporates signals from marketing engagements, service interactions, web behavior, and external data sources.
For example, before calling a prospect, a sales rep can see that the customer recently opened three marketing emails about a product upgrade, submitted a service request last week, and visited the pricing page twice, all within a single unified profile. This visibility provides a more informed and tailored selling approach instead of a generic outreach.
When a sales rep sees why a customer is engaging and what their current sentiment is, they transform from a seller into a trusted, informed advisor.
In this unit, you examine three key sales scenarios where Data 360 provides this competitive advantage. To focus on Data 360 strategy, the discussion covers the “what” and “why” of these scenarios without the step-by-step configuration.
Business Case 1: Lead Qualification and Prioritization
Sales Operations must ensure that reps spend time on leads with the highest probability of conversion, rather than chasing volume.
Business Problem | Traditional lead scoring relies on static data. As a result, SDRs waste cycles on leads that look good on paper but lack recent engagement or are interacting with a competitor’s website. This leads to slow follow-up and inefficient pipeline generation. |
Data 360 Solution | Data 360 ingests behavioral website data—website visits, content downloads, time spent on pricing pages—and combines it with Agentforce Sales data in real time. Next, Identity Resolution matches anonymous website visits in real time to existing lead or contact records. Data 360 then applies a machine learning model to generate a Real-Time Intent Score. This score, displayed on the lead record, helps sales agents prioritize outreach based on current digital behavior, not just demographic fit. |
Business Value | Sales teams can immediately route high-intent leads to the top of the queue—often within minutes of peak engagement—for a direct increase in lead conversion rates. Sales reps benefit from a dramatically prioritized worklist that puts the hottest leads at the top of every call queue. Service teams benefit indirectly, too: better-qualified leads mean more satisfied customers post-sale and fewer friction points from misaligned expectations set during the sales process. |
Business Case 2: Forecasting and Opportunity Risk Management
Sales forecasting often suffers from subjectivity, relying on a sales rep’s gut feeling rather than real-time indicators of deal health. Deals can stall or collapse unexpectedly because key risk factors aren’t visible to management.
Business Problem | Sales managers struggle to accurately predict quarter-end revenue because they lack early warnings of risks, such as a major decision-maker ceasing all engagement or a competitor launching a relevant product while the deal is in the evaluation stage. |
Data 360 Solution | The sales manager creates a segment in Data 360 that incorporates these conditions. Engagement data: Did the unified individual open the last three emails? Service data: Are there any open critical cases for the unified individual? External data: Is the unified individual mentioned in negative press? Then, they use this segment to calculate an Opportunity Health Score. They add this score to the opportunity record and can trigger a flow to change the forecast category from Commit to Best Case if the score exceeds a defined threshold. |
Business Value | Sales teams gain increased accuracy in forecasting and receive early warnings to mitigate risks. Sales reps get automated coaching insights on their opportunity records, directing them on which contacts to re-engage. Service teams receive alerts on opportunities that show significant engagement after a service case is closed—a strong signal the customer is satisfied and ready to proceed—for a smooth post-resolution handoff back to sales. |
Business Case 3: Cross-Selling and Upsell Identification
Account executives often miss upsell or cross-sell opportunities within their existing customer base because they lack a clear view of product or service usage across an organization.
Business Problem | To identify the next-best product or service to sell, teams manually consolidate installed base data from Agentforce Sales, external usage metrics, and adoption health scores. Because they’re relying on fragmented data, this time-consuming process consistently leads to low hit rates on expansion sales. |
Data 360 Solution | Data 360 unifies all purchased products or services, entitlements, and usage data into a single view on the account. Create a segment in Data 360 to find accounts that have purchased but underutilized one product and are also a high-intent user of a complementary product they haven’t purchased. These accounts represent a prime sales opportunity. Use the segment to run a Next Best Offer campaign in Agentforce Sales, complete with personalized talking points. |
Business Value | Sales teams receive high-probability expansion opportunities pushed directly into their pipeline, which increases the average selling price (ASP) and accelerates revenue from existing accounts. The Next Best Offer guidance, powered by data, ensures relevance. Service teams benefit by understanding the full customer relationship before they answer a question. With this context, they can redirect customers from a low-level service issue to the higher-value AE who can address the underlying need with an upsell conversation. The result: a simple call becomes a revenue-generating opportunity. |
When you integrate Data 360 with Agentforce Sales, you shift sales enablement from simple data entry to intelligent, guided action. This transformation not only accelerates individual deals but also provides managers with the objective insights needed for strategic decision-making and accurate forecasting.