This template gives you a centralized hub to track event registrants, manage hosts, and measure attendee engagement across all your sessions. It keeps your pipeline organized and actionable without requiring manual data entry.
It works by connecting Contacts, Webinars, and Attendance Logs natively. This logical structure lets you instantly see which contacts attended specific sessions and automatically calculates their total watch times.
Built-in AI agents accelerate your event workflow natively. They automatically research and find contact job titles, generate compelling promotional descriptions for new sessions, and classify engagement tiers automatically.
Managing virtual events in a spreadsheet quickly becomes a chaotic mess of duplicate names, broken formulas, and fragmented attendance records.
A structured system connects data natively without fragile lookups. You can link a single contact to multiple webinars and automatically roll up their total attendance history flawlessly.
This is exactly what Softr Databases are designed for. They enforce clean data types, meaning a date stays a date and linked records update dynamically across your whole system as your event list grows.
You can track total event registrations, automatically categorize attendee engagement levels, and monitor exact minutes logged in per user.
You can also leverage built-in intelligence to enrich your pipeline instantly. The system will automatically find a registrant's current job title via web search the moment they join your list.
Manage internal team members with roles and webinar hosting assignments
Store webinar registrants with AI-powered job title research and tracking
Schedule events and generate AI promotional descriptions for new sessions
Monitor event participation with AI-driven engagement level classification
This ready-to-use system is built for teams who need actionable insights from their virtual events.
You can easily customize this database to fit your exact workflow. Modify the attendance status choices, adjust engagement criteria, or add entirely new fields without writing a single line of code.
Bring your existing event list to life instantly. You can bulk upload past registrants via CSV or connect an API to sync new signups seamlessly from your landing pages.
When your team is ready, you can build a full app directly on top of this structured data. By leveraging native users and permissions, you could create a secure internal portal where hosts log in and strictly view only their assigned sessions.
Building a custom event portal is incredibly fast when your underlying data is organized properly. This database provides the exact foundation needed to scale from simple tracking to a complete custom application.
It is a structured system designed to organize event registrants, track scheduled sessions, and log individual engagement. It replaces scattered lists with a single source of truth for your event data.
A no-code database gives you production-ready structure instantly without relying on developers. It ensures your data remains clean, scalable, and fully customizable as your event strategy evolves.
With Softr, you can use Database AI agents to automate tedious tasks natively based on specific triggers. For example, AI can search the web to enrich registrant profiles with job titles, draft compelling webinar descriptions, or classify attendee engagement based on watch time.
Yes, you can use Softr's interface builder to turn this data into a fully functional application. You can build a custom dashboard for event hosts, complete with access controls to ensure people only access their relevant events.
Yes, it is completely free to get started. The template and foundational database features are included in Softr's free plan, with higher tiers offering expanded record limits as your event list grows.
Spreadsheets rely on complex, fragile VLOOKUPs to connect attendees to multiple distinct sessions, which frequently break as lists grow. A native database uses robust relational connections, ensuring contact histories and metrics remain perfectly accurate.