Connect CrowdPass to Make (Integromat)
Orchestrate complex event workflows with visual scenarios that branch, loop, and transform data
Zapier handles linear automations well, but event workflows are rarely linear. A single badge scan might need to create a CRM lead, check a data store for VIP status, branch to different follow-up sequences based on the result, generate a personalized PDF badge, and log the interaction to a spreadsheet — all in one trigger. Make's visual scenario builder handles this complexity natively with routers, iterators, filters, and data stores. Connecting CrowdPass to Make via Zapier (or directly via Make's webhook modules) gives event teams a power-user automation layer: scenarios that process registrations in bulk batches, aggregate real-time check-in data into live dashboards, and orchestrate multi-system workflows that would require five separate Zaps. If your event operations have outgrown simple if-this-then-that automations, Make is where you graduate.
Automations you can build
Registrations trigger a Make scenario that routes the data through multiple modules: check for existing CRM contact (update if found, create if not), add to the correct email marketing segment based on ticket type, generate a personalized QR code via an API call, and store the registration in a Make data store for real-time dashboard aggregation. One trigger replaces four separate automations.
Booth scans trigger a Make scenario with a router that branches based on lead score. High-value leads (enterprise title + target industry) branch to: create CRM opportunity, notify the sales director via Slack, and schedule a follow-up meeting via Calendly. Standard leads branch to: add to nurture email sequence and log to spreadsheet. The visual scenario makes this branching logic transparent and easy to modify.
Check-ins feed into a Make data store that maintains running totals: attendees checked in per session, per track, per hour. A separate scheduled scenario reads the data store every five minutes and pushes aggregated stats to a Google Sheet that powers a live attendance dashboard. Make's data stores act as a lightweight real-time database for event metrics.
Ticket purchases trigger a Make webhook that orchestrates the post-purchase flow: create invoice in accounting software, send receipt email with personalized event prep guide, add purchaser to the correct registration tier in CrowdPass, and update the event's revenue tracker in a data store. Error handling modules catch payment edge cases (duplicate charges, failed webhooks) and route them to a Slack alert channel.
How event teams use this
Multi-system registration orchestration
A corporate event team manages a 3,000-person annual conference with registration data that needs to flow to seven different systems: HubSpot CRM, Mailchimp, Google Sheets, a badge printing API, a hotel room block API, a dietary restriction tracker, and a session capacity manager. Instead of building seven separate Zaps, the team builds one Make scenario with seven parallel modules branching from a single CrowdPass registration trigger. A router sends VIP registrants through an additional branch that assigns a concierge coordinator and sends a personalized welcome package. The visual scenario diagram serves as living documentation of the entire registration workflow — new team members understand the data flow in minutes.
Real-time event dashboard powered by data stores
An event operations director needs a live dashboard showing check-in rates, session capacity, and attendee flow throughout a two-day conference. Make data stores accumulate CrowdPass check-in events in real time. A scheduled scenario runs every three minutes, aggregating the data into metrics: total checked in, check-ins per hour trend, session fill rates, and no-show percentages. The aggregated data pushes to a Google Sheet connected to a Looker Studio dashboard displayed on monitors in the event command center. The ops team sees attendance patterns developing in real time and can reallocate staff to crowded registration areas or open overflow rooms for popular sessions.
Error-resilient lead processing with retry logic
A sales team captures 500 leads at a trade show over two days. Network connectivity at the venue is unreliable, causing occasional API timeouts. The Make scenario includes error handling modules: if the CRM API call fails, the lead data is stored in a Make data store and a retry module attempts the creation every 15 minutes until it succeeds. A daily summary scenario reads the data store and reports any leads that failed after three retries, alerting the ops team via Slack. Zero leads are lost to connectivity issues, and the retry logic runs without human intervention.
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 Make?
Schedule a demo and we'll help you set up the perfect automation for your next event.