About us

Selling out your event shouldn't
be luck.

Most event marketing runs on guesswork—disconnected tools, unclear attribution, and no real visibility into what drives attendance. DeFy connects ticketing, marketing, and customer data so you can make growth predictable. See how it works:

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You’re running ads, email, and social, but aren't confident if and how much each is driving sales.

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Attribution is fragmented and conflicts across different platforms and measurement tools.

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You're guessing which customer segments might drive sales based on historical behavior.

Growth is unpredictable when you don't know what drives demand.

Our values

Why existing tools fall short.

Most organizers are using some combination of ticketing platforms and marketing tools. The problem is they weren’t built to work together, and none were built to understand demand when it comes to events.

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Ticketing platforms are built for logistics

Solutions manage payments, access, and check-in, but don't reliably show what's actually driving attendance or how to improve it over time.

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Marketing features don't go far enough

Most platforms overstate the impact of their discovery networks and basic ad tools without reliably connecting activity to real ticket sales.

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Marketing tools aren't built for events

Tools built for SaaS and E-Retail don't adapt to purchase behaviors and motivations that are unique to customers purchasing event tickets.

Our values

Turn every event into a growth system.

DeFy connects ticketing, marketing, and customer data at the source so you can see what’s driving demand and improve it over time.

Capture

All ticketing, marketing, and customer data in one place

Understand

Identify what’s actually influencing demand

Act

Improve targeting, messaging, and performance with every event

Contact us

Request
Access

We’re working with a limited number of organizers as we roll out DeFy. Tell us about your events to see if it’s a fit.

Contact information

How many events with paid tickets do you host per year?

What is the average attendance per event?

What is your estimated monthly marketing spend?

Tell us about your event or events:

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FAQs

Have questions?

DeFy provides next-generation customer and marketing intelligence, so it's important to understand the details and how it's different from today's tools.

How's this different from customer and analytics tools I’m already using?

Most event organizers rely on a mix of platforms like ticketing, CRM, and ad tools. Each one shows part of the picture but none of them connect those signals into a single, reliable view of what actually drives ticket sales.

That’s why attribution in most systems is simplified—often last-click or rules-based—and segmentation is static.

DeFy is different because ticketing, marketing, and customer data are unified at the source. That allows us to model the full customer journey and show what actually influenced demand, not just what happened around it.

How is your segmentation different from what I’m already doing?

Most event segmentation is static, based on things like past attendance, genre, or email engagement. That’s useful, but it doesn’t tell you who is most likely to convert right now.

DeFy uses real behavior across events and channels to model intent, so your audiences aren’t just grouped by what they’ve done, but by what they’re likely to do next.

Can’t I get this from my CRM, Meta, or Google?

Each of those tools sees part of the picture:your CRM sees contacts and campaigns. Meta and Google see ad interactions. Your ticketing platform sees transactions.

But none of them connect those signals into a single view of demand. DeFy does that by tying all activity directly to ticket sales—so insights reflect what actually drives revenue, not just engagement.

We already track UTMs and use analytics tools. What’s different here?

UTMs and analytics tools rely on clean tracking and typically break across sessions, devices, and platforms. They also report on sessions, not people. DeFy connects activity at the customer level and fills in gaps where tracking is incomplete, giving you a more reliable picture of how demand is actually formed.