Unified data accelerates sales pipeline after Dreamforce.

Unifying Attendee Data with Data 360

To solve this, Salesforce brought third-party event data into Data 360, including complete session metadata and product team calendars from RainFocus, along with interactive venue maps and points-of-interest from Pointr. Attendee activity — including session attendance and activation participation through badge scans, as well as digital engagement across the mobile app and web — flowed into Data 360 in near-real time via APIs, providing a continuously updated view of onsite behavior.

Native Salesforce data then rounded out each attendee profile:

• Registration data such as attendee type, role, industry, and product interests was used to provide personalized answers and recommendations
• Behavioral and engagement signals showed which sessions, topics, and experiences were capturing their interest
• CRM data, including opportunity details, added business context for accounts, meetings, and customer conversations
• Agentforce conversation data carried forward past questions and actions so attendees didn’t have to repeat themselves
• Email engagement from Marketing Cloud revealed pre-event interest levels and registration patterns, enabling targeted follow-up with high-value accounts

By combining first- and third-party sources in Data 360, Salesforce created unified attendee profiles that automatically reflected changes across connected systems, keeping every touchpoint before, during, and after the event up to date and accurate.

Data-Driven Personalization

With unified data flowing into Data 360, Salesforce transformed the Dreamforce mobile app into an all-in-one event mission control for every attendee. Attendees could view their full agenda, bookmark sessions, schedule peer and expert meetings, receive tailored recommendations, and even find the most convenient coffee stop — all in one place.

Those recommendations were delivered by the AI event agent, which was built with Agentforce and embedded directly in the app. Each time an attendee asked for guidance, the agent translated their request and live behavior — such as sessions viewed, bookmarked, or attended — into a well-defined Data 360 query grounded in their unified profile. Because the event agent used Data 360 as a system of context, it was able to make recommendations based on each attendee’s role, interests, and real-time activity, while also drawing on patterns from similar attendees. As new behavioral signals flowed into Data 360, recommendations continually refined to reflect the attendee’s latest plans and preferences.

The results were striking: A/B testing showed attendees were 30% more likely to attend sessions recommended by the event agent than those they selected on their own.

Translating Engagement To Impact

Now, Salesforce can directly correlate what attendees did at Dreamforce to what happened in the sales pipeline afterward. By connecting session attendance, interests, and follow-up activity, teams gained a clear view of which moments at Dreamforce actually influenced buying decisions. 

They found that attendees who were guided to sessions aligned with the products they cared about were 70% more likely to eventually close a deal. This showed that not only does personalized event guidance lead to greater engagement, it also directly supports revenue.

A unified data foundation also positions Salesforce to keep getting smarter over time. Today, Data 360 sends the event agent’s data — like conversation transcripts and actions taken — into Databricks for deeper analysis with permission from attendees. The next step is making that connection work both ways, so insights from Databricks can flow back into Data 360 and be used directly by Agentforce to drive even more targeted engagement and pipeline influence.