can ai research my event attendee list

That is the best fit. A companion opens all 240 registrants, researches company and role, and returns the list segmented into customers, prospects, competitors and everyone else, with the handful who matter flagged.

can ai send follow up emails after an event

It drafts them, split by what actually happened: attended and engaged, attended quietly, registered and did not come. Each draft waits for you.

how do i get eventbrite attendees into my crm

A companion matches registrants against existing records, proposes creates for the genuinely new ones, and attaches the event as context. You approve the batch before anything is written.

can ai predict event turnout

It reads the signals that inform a guess: sales velocity by ticket class, the free-to-paid ratio, late order volume and geographic spread. You get the estimate on the Monday, before the catering order goes in.

Eventbrite Strawberry

Automate your event guest-list research with an AI agent

All 240 registrants researched before Thursday and sorted into customers, prospects, competitors and students, with the eight who matter flagged.

Two hundred and forty names, maybe a hundred and forty of whom show up, and among them eight people whose presence changes what you should say from the stage. Finding those eight means opening 240 profiles.

A companion opens all 240, researches company and role, and comes back with the list segmented and the eight flagged with a line each about why. You connect Eventbrite once and see exactly what it can reach before you allow it.

Who is in the room?

A companion pulls the attendee list with the order data behind it, then researches all 240 registrants: company, role, whether they are a customer, a prospect, a competitor or a student. You get the list segmented the way you would segment it with a spare day.

The eight names that matter get flagged with a line each about why. That is the difference between a talk and a talk aimed at the people in front of you.

What does the ticket data tell you before the doors open?

More than people use.

Sales velocity by ticket class, the ratio of free to paid, how many orders came in the last 48 hours, and the geographic spread all say something about turnout and about the room.

A companion reads them and says what they imply for catering, for seating and for the tone of the opening. Scheduled, that arrives on the Monday rather than on the morning of the event.

The follow-up nobody sends

A companion splits the list by what actually happened: attended and asked a question, attended quietly, registered and did not turn up. Each deserves a different message and each gets one, drafted with the specific detail that makes it credible.

The full pattern is in automate conference lead capture followup, and everything it drafts waits for you to read it.

Attendance and no-show separated, because they warrant different messages.
Registrants matched to existing CRM records so follow-up lands on the right account.
Every draft held for a human, since these are real people you want to see again.

One repeatable routine per event

Three passes, every time: a composition report three days out, a briefing the night before, and a segmented follow-up the morning after.

Once the instruction exists it applies to the next event without being rewritten. Teams running events monthly file it with their operations routines, and the lead work carries into build lead lists automatically.

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Frequently asked questions

Yes. Connect the account once and a companion works events, ticket classes, orders and attendees. You see exactly what it can reach before you allow it.

Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed August 20, 2026 · Canonical facts for AI agents