Your attendee data goes dark when the crowd shows up.

Zeva helps live-event teams recover in-event visibility gaps caused by crowded networks, so sponsorship ROI, attendee engagement, and revenue decisions are based on what actually happened.

A focused discovery call for teams already investing in attendee analytics.

Your analytics stack is strongest before and after the event.

The missing layer is what happens during the event, when the crowd is moving, spending, engaging, and overwhelming the networks your tools depend on.

You know who bought a ticket.

Ticketing, CRM, and marketing systems tell you who arrived. They do not show the full in-event journey when the venue is dense and the network is strained.

You know what they bought.

POS and ordering data show transactions after they happen. They miss the crowd conditions, dwell time, activation exposure, and moments that explain why spend moved.

The live event is still a blind spot.

The most valuable behavior happens inside the crowd. That is exactly where apps, Wi-Fi, cellular, and staff reports become incomplete, delayed, or unreliable.

If the network drops the signal, your data drops the story.

Better networks are only useful if they produce better data.

Zeva's network layer is the mechanism. The buyer outcome is cleaner attendee visibility during the exact moments your current analytics stack is most likely to fail.

Connect the behavior to the profile.

Attendee Intelligence

See which segments moved, dwelled, engaged, and converted during the live event. Zeva is built to help fill the in-event gaps that keep attendee profiles disconnected from real behavior.

Give sponsors and operators evidence.

ROI Measurement

Tie engagement, movement, and interaction signals back to spend, activations, and venue decisions. The goal is not another dashboard. It is more trustworthy inputs for the dashboards you already use.

Find the gaps your current stack cannot close.

Analytics Gap Mapping

We start with your current journey, tools, and reporting requirements, then identify where the live event creates blind spots. If Zeva cannot improve the data, we should both know quickly.

Built on a decade of experience.

4 yrs

Building mesh networks for the Marine Corps

10 yrs

In live entertainment

A PULL-shaped path to validation.

1

Map the project.

We start with the attendee analytics, sponsorship ROI, fan engagement, or revenue intelligence project your team is already prioritizing.

2

Find the blind spots.

We walk through your event journey and current tools to identify where crowded-network conditions make the data incomplete, delayed, or unusable.

3

Test a focused wedge.

If the gap is real and urgent, we define a narrow pilot around one venue, one event, and one measurable data outcome.

Start with the gap, not the deployment.

Analytics Gap Review

For teams with an active attendee analytics, sponsorship ROI, or event revenue intelligence project. We compare your current tools against where live-event data goes missing.

Best fit if someone already owns attendee data or event analytics internally.

Focused Event Pilot

If the gap is urgent and current options are lacking, we scope one event around a measurable outcome: missing engagement, movement, spend, or sponsor-reporting data.

Single-event pilots only after the data gap is clear.

Questions we want to answer with you.

What attendee analytics do you already track?

We want to understand the metrics you already care about, why they matter, and which decisions they shape before we talk about Zeva.

Where does the live-event journey lose visibility?

Pre-event and post-event data are usually easier. The question is what happens during the event, inside the crowd, when networks and tools start dropping signal.

What have you already tried?

Event apps, Wi-Fi analytics, POS and ticketing integrations, CDPs, RFID, NFC, beacons, surveys, consultants, or internal data hires all count. We are looking for the gap those options still leave.

Is this urgent enough to fund?

If there is no active project, owner, budget, or decision blocked by missing in-event data, it is probably too early for a pilot.

If in-event data is blocking a real project, let's talk.

We're looking for enterprise live-event teams already investing in attendee analytics, sponsorship ROI, fan engagement, or event revenue intelligence.

No pitch deck required. Just a focused conversation about what your current stack cannot see.

connor@zeva.biz · Provo, Utah