Event analytics

Event analytics and reporting.RSVPs, no-shows and attendance, live.

Event analytics in AirLST comes from your guest list, not from a head count afterwards: RSVPs, declines, email delivery, attendance and no-show rate by guest group, live on the dashboard during the event and as a report after it. Measuring an event becomes a matter of looking, not recounting.

Numbers from the listEvery RSVP and every scan is a data point; the dashboard keeps count.
Delivery rateWhether the invitation arrived, was opened and clicked, per template.
Live no-show rateConfirmed versus checked in, while doors are open.
Trusted by leading event teams and enterprises
Mercedes-Benz Zalando Munich Airport BASF Airbus Netflix

Reporting nobody has to stitch together.

01One source

Invitation, registration, check-in and survey write to the same guest; the analytics read from it.

02Live, not after

RSVPs before the event, attendance on the day, no-shows the moment they happen.

03By group, by station

Attendee statistics by guest group, entrance, workshop and time period.

04Take it anywhere

Export to Excel or CSV, data through the API, contacts on to the event CRM.

01Before the event

Who said yes? And who actually got the invitation?

Attendee analytics starts with the send: delivery rate, opens and clicks per template tell you whether the invitation lands. RSVPs, declines and open replies flow into the dashboard live; anyone who has not replied by the deadline is a filter for a reminder, not a mass email.

  • Delivery rate per templateDelivered, opened, clicked, bounced; for each guest, whether their invitation arrived.
  • Live RSVP trackingConfirmed, pending, declined and waitlist, with a trend line since the send.
  • CapacityUtilization per guest group and workshop round, waitlist as a number.
02On event day

Attendance and no-show rate while doors are open.

Every scan in the check-in app is a data point. The dashboard shows expected, checked-in and missing guests by guest group and station, with a trend over time. Catering knows how many people are in the room; the project lead sees whether the north entrance is backing up.

Trend per station: where it backs up, where staff are free
Workshop A: 4 no-shows, 12 on the waitlist, move them up now
In the app, too

The statistics tab of the check-in app shows the same numbers to the team at the door.

No-shows become seats

Guests who do not show up free capacity for the waitlist, walk-ins and the seating chart.

Documented attendance

Time and station per guest, for compliance, hospitality records and certificates of attendance.

The statistic is a filter: no-shows are a selection, not a number on paper
03After the event

Event reporting: every number is a list you can act on.

The no-show rate is not a figure in a report, it is 16 guests in the list you can email. Attendance per workshop tells you which room was too small. The survey tells you how the people who came liked it. And the export takes everything to finance, your CRM and your agency.

  • Filters, not reportsEvery metric is a selection in the guest list: follow-up, thank-you, a reminder for next time.
  • Feedback per guestAnalyze answers from the post-event survey by group, attendance and program choice; question catalog in the event feedback form template.
  • Export and APIExcel or CSV per selection; external systems pull the data through the API.
  • Across eventsContacts and their history in the event CRM; compare several events side by side in one view.
04Event metrics

Four numbers every event should answer.

Events have long been considered hard to measure. With a guest list that knows invitation, registration, check-in and feedback, four metrics are there without extra work: who was reached, who said yes, who came and how it went. They turn into planning decisions on format, channel, room size and budget.

Delivery rate
98.4%Delivered out of sent; bounces as a list for data cleanup
Fix addresses
RSVP rate
89%Confirmed out of invited, by guest group and template
See which invitation works
Attendance
96.3%Checked in out of confirmed; no-show rate 3.7%, by group and workshop
Plan rooms and catering
Feedback
4.6Survey average, by session and guest group
Improve the next program
No spreadsheet work

The numbers come from what happens anyway: send, RSVP, scan, answer.

Readable by group

VIP, attendees, press, Workshop A: the same four numbers for every segment.

More in a guide

What a good no-show rate looks like and how to lower it is the topic of an upcoming guide in our resources.

Analytics on individual guests needs rules. They are already in place.

Event analytics shows numbers per group; looking at an individual guest requires permission. Roles and permissions of the guest list apply to reporting as well; opens and clicks are only tracked with consent; exports are logged.

  • Hosted in GermanyGuest and analytics data on servers in Germany.
  • GDPR compliantConsent per guest, data processing agreement and deletion policy in the Trust Center.
  • TISAX-assessedTISAX is the information security assessment standard of the automotive industry; AirLST has been assessed against it.

Example roles. You assign permissions per user.

What is event analytics?

Event analytics is the set of metrics that describes an event through its attendees: how many people were invited and how many received the invitation, how many RSVPed yes, declined or never replied, how many showed up and how many did not, the no-show rate, and how attendees rated the event. Event reporting turns those numbers into decisions: which channel drives RSVPs, which format works, how big the room has to be, where the budget should go.

In AirLST, event analytics comes from the guest list, because invitations, RSVPs, check-in and surveys write to the same record. The dashboard shows total, confirmed, pending and declined guests, the email delivery rate and the no-show rate from confirmed and checked-in guests, live during the event; attendee statistics by guest group, station and time period come from filters on the list, and the export comes from the same selection. That makes events as measurable as any other marketing channel.

Analytics is not a report someone writes. It is the guest list, counted.

4Metrics per event: delivery rate, RSVP rate, attendance, feedback
LiveNo-show rate during check-in, by group and station
0Spreadsheets to merge

How does reporting work in AirLST?

  1. Send. Delivery rate, opens, clicks and bounced addresses per template; for each guest, whether the invitation arrived.
  2. Replies. RSVPs, declines, open replies and waitlist on the dashboard, with a trend since the send; reminders to the people still missing.
  3. Event day. Every scan counts: checked in, expected, no-shows, walk-ins, by station and group, on the dashboard and in the check-in app.
  4. After. Attendance and no-show rate by guest group and workshop; no-shows as a selection for follow-up; survey feedback per guest.
  5. Share. Export to Excel or CSV, data through the API into CRM and BI, contacts with their history in the event CRM.

How is event analytics different from a spreadsheet?

A spreadsheet report is built after the event: the send list, the replies, the door list and the survey export get merged, names matched, check marks counted. It takes time, it is error-prone, and it arrives too late to change anything during the event. It also says little about the individual guest, because each list spells them differently.

In AirLST there is nothing to merge, because everything sits on the same guest.

That is why the no-show rate is live, why no-shows are a selection you can email, and why feedback can be combined with group and attendance. The difference is not the dashboard, it is the data source: a guest list that knows invitation, registration, check-in and survey is the analytics. Everything else is how you display it.

What does event reporting work with?

With invitation emails for delivery rate and opens, event registration for RSVPs and capacity, the check-in app for attendance and no-shows, the post-event survey for feedback, the event CRM for history across events and the API for CRM and BI.

FAQ

Event analytics FAQ

What is event analytics?

Event analytics is the measurement of an event through its attendees: how many people were invited and actually received the invitation, how many RSVPed yes or no, how many showed up, the no-show rate and how attendees rated the event. It is not the same as "events" in web analytics tools such as Google Analytics, which count clicks and page interactions. In AirLST, event analytics comes straight from the guest list, because invitations, registration, check-in and surveys all write to the same guest record.

How do you calculate the no-show rate of an event?

No-shows are confirmed guests who never checked in. The no-show rate is their share of all confirmed guests: 16 no-shows out of 428 confirmed guests is a no-show rate of 3.7%. AirLST shows it live on the dashboard while doors are open and by guest group afterwards, because every check-in sets the status on the guest record.

How do you track attendance at an event?

With a check-in that writes to the guest list. Every scan in the AirLST check-in app records time and station on the guest, so the dashboard and the statistics tab of the app show expected, checked-in and missing guests by station and guest group in real time. Catering, speakers and the project lead see the same numbers without standing at the entrance.

Which KPIs show whether an event was a success?

Four numbers answer the basic questions for every event: the email delivery rate (who was reached), the RSVP rate (who said yes), attendance and no-show rate (who came) and survey feedback (how it went). AirLST shows all four by guest group without extra work. Whether an event paid off also depends on your own goals, such as pipeline or customer retention, which you track in your CRM.

Can I export event reports to Excel or my CRM?

Yes. Any selection in the guest list exports as an Excel or CSV file for finance, your CRM or your agency, and the dashboard figures are available as numbers and trends. Other systems pull the data through the API.

Can I compare several events with each other?

Within one event you compare guest groups, stations and time periods. You can also compare several events side by side in one view. Contacts and their history across events live in the event CRM.
Events made easy

Numbers that come from the event. Not from a spreadsheet.

Delivery rate, RSVPs, attendance, feedback: in 15 minutes we show you how your reporting comes straight from the guest list. Or see it on your own dashboard, free for up to 50 guests.