Document Title

Section 1: Registration

The Registration section describes the initial data flow for a large roadshow event. Bob is a VP. Bob registers for your event. The attendee type informs the system. Conditional logic displays a product-interest question. ABM is Account-Based Marketing. Bob notes Account-Based Marketing. Bob finishes registering for your event. The Registration section depicts the start of data collection for the event. The content implies that attendee attributes drive downstream actions. The example centers on tagging for downstream engagement. The overall purpose is to enable personalized follow-ups later in the event lifecycle.

Section 2: Build Integration Flow

The Build Integration Flow section explains how the data routing is configured. The integration flow can be specific to a single event or apply across multiple events. As Bob registers, Signal routes the data based on the pre-set integration flow. After registration, Bob is immediately added to a nurture campaign in the MA platform. The nurture campaign is specific to your ABM product. The flow allows modifying or tagging data as it leaves Certain. This enables downstream actions and personalized engagement ahead of the event. The section highlights pre-event preparation and governance features to manage data movement.

Section 3: Data transformation

The Data transformation section describes how you can modify or tag data as it exits the system. The process includes tagging the product interest of the VP. It also includes noting the type of event they attended for segmentation and lead scoring. Tagging product interest supports later targeting and scoring. Tagging event type aids segmentation for marketing campaigns. Data transformation shapes which downstream actions are triggered in the MA platform or other systems. The section demonstrates how data leaves the flow in a structured way for further use.

Section 4: Check-in

The Check-in section covers the day-of-the-event activities. Bob checks in. Because you have set up the flows, Bob is sent an email inviting him to a VIP dinner. The Sales rep is notified by Slack that Bob checked in. Everything is pushed in real time. The section illustrates real-time data movement and immediate follow-up actions triggered by the check-in event. It reinforces how event data drives timely engagement and notifications to stakeholders.

Section 5: Session attendance

The Session attendance section documents capturing which sessions Bob attends. It notes sending this information directly to your MA platform to enter Bob into another campaign based on session interest. Bob attends a session on personalization practices in email. Bob is put into a campaign to receive more information on email personalization best practices. The section emphasizes delivering relevant content based on attendee engagement at the conference. It shows how session data drives targeted content and campaigns.

Section 6: Show Results

The Show Results section discusses monitoring and governance available in Signal. It states that data can be shared and issues can be troubleshooted in real time. The section emphasizes following the results of the campaign and owning the event data. It explains how Certain Signal helps connect events to results by turning data into engagement and ROI. The content highlights how data-driven actions improve engagement and campaign outcomes. The final portion reinforces the value of end-to-end visibility from registration through post-event results.