Connect CrowdPass to Supabase
Store event data in a full PostgreSQL database with real-time subscriptions and instant API access
Supabase gives event teams the power of a full PostgreSQL database with the developer experience of a modern platform — real-time subscriptions, auto-generated REST APIs, row-level security, and edge functions. Connecting CrowdPass to Supabase via Zapier means event data lands in a relational database where you can write real SQL queries, build complex reports with JOINs across registrations, check-ins, and transactions, and enforce data integrity with foreign keys and constraints. Unlike document databases, Supabase lets you ask questions like "Show me all attendees who registered for Track A but checked into Track B sessions" with a single SQL query. For technical event teams that need querying power beyond what spreadsheets offer but don't want to provision and manage a database server, Supabase is the sweet spot.
Automations you can build
Registrations insert rows into an "attendees" table in Supabase with proper relational structure — the attendee links to an "events" table via foreign key, and session selections create rows in a junction table. Any dashboard or app querying the Supabase REST API or connected via real-time subscriptions reflects the new registration instantly.
Check-ins insert rows into a "check_ins" table with the attendee ID, session ID, and timestamp. A Supabase database trigger fires an edge function that calculates current session occupancy, updates a materialized view for the dashboard, and broadcasts the update to all real-time subscribers. Connected dashboards update without polling.
Booth leads are upserted into a "leads" table — if the attendee was scanned at a previous booth, the existing row is updated with the new booth interaction appended to a JSONB column. This preserves the full interaction history in a single queryable row. Sales teams query the leads table for attendees with interactions at three or more booths, identifying the most engaged prospects.
Purchases insert into a "transactions" table and call a Supabase database function that atomically decrements available inventory in the "ticket_tiers" table. The function returns an error if inventory reaches zero, preventing overselling. A real-time subscription on the ticket_tiers table updates the event website's availability display within seconds of each purchase.
How event teams use this
SQL-powered event analytics dashboard
An analytics-driven event team needs to answer complex cross-dimensional questions: "What is the average number of sessions attended by VIP ticket holders compared to general admission, broken down by industry vertical?" In a spreadsheet, this requires pivot tables and manual filtering. In Supabase, it's a SQL query joining the attendees, check_ins, and sessions tables with GROUP BY and AVG. The team builds a Retool dashboard connected directly to Supabase, with filters for event, date range, ticket type, and demographic. Every stakeholder — from the CEO to the session planner — gets self-service access to event intelligence that previously required a data analyst to produce.
Real-time attendee app with row-level security
A conference builds an attendee-facing web app using Supabase as the backend. Attendees authenticate via Supabase Auth (linked to their CrowdPass registration email). Row-level security policies ensure each attendee can only see their own schedule, messages, and profile — not other attendees' data. Real-time subscriptions power a live session feed: when a speaker starts their session (tracked by CrowdPass), all attendees subscribed to that session receive an in-app notification. The entire backend is Supabase — no custom server code, no DevOps overhead — and scales automatically from 100 to 10,000 concurrent users.
Multi-event data warehouse for year-over-year analysis
An event company runs 20 events per year and needs to track trends: Is overall attendance growing? Which event formats have the highest check-in rates? Which sessions topics recur across events with consistently high satisfaction scores? All CrowdPass data from every event flows into Supabase tables with an "event_id" foreign key. Year-over-year queries are straightforward SQL: "SELECT event_name, year, AVG(nps_score) FROM feedback JOIN events ON event_id GROUP BY event_name, year ORDER BY year." The company builds an internal Supabase-powered reporting portal that replaces 20 separate post-event spreadsheets with a single queryable dataset.
Connect in 3 steps
No code required. Set up in under 5 minutes.
Log in to Zapier
Go to zapier.com and search for "CrowdPass" in the app directory. Connect your CrowdPass account using your API key from Settings > Integrations.
Choose your trigger
Select a CrowdPass trigger event: new registration, attendee check-in, NFC badge scan, lead capture, or form submission. Each trigger sends full attendee data.
Map your action
Choose the destination app and configure what happens. Map CrowdPass fields (name, email, ticket type, custom questions) to the app's fields. Test and activate.
Frequently asked questions
Related integrations
Ready to connect CrowdPass to Supabase?
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