Sena Decision AI shows event teams which cities and dates attendees would travel to, what they would pay, and which sponsors they recall. Every figure traces to an attendee answer, a dated venue photo, or the team's own ticketing files.
Event management analytics usually reads ticket sales, gate scans, and cashless spend from the team's own systems. Whether an attendee returns, and what a sponsor got for its fee, sits outside those counts.
Ticketing and event data show sales by tier and date. Why people come back or skip an edition is a separate answer.
Sena:Sena captures why attendees return or skip an edition and which lineup, price, or travel change would win each group back.
Event sponsorship packages promise signage, booths, and on-site activations. Sponsors renew on proof that the signage was up and that attendees noticed it.
Sena:Sena captures dated, geo-verified photos of sponsor signage at the venues a question names, and which sponsors attendees recall.
Venue quotes and past event attendance shape where the next edition lands. Travel distance and timing decide whether the audience follows.
Sena:Sena captures which cities and dates each audience would travel to, and at what ticket price.
These four decisions add attendee answers and venue photos to event management analytics.
Consumers in each candidate city state how far they would travel for this kind of event, and in which months.
Decides:Which city and dates the next edition books, and where event marketing spends first.
See strategy decisions →Attendees state what they would pay for early-bird, general, and VIP tickets, and which add-ons tip them into a higher tier, by segment and market.
Decides:Which tiers and prices open on-sale day.
See revenue and pricing decisions →Dated photos confirm each sponsor's signage and activation setup at the venues a question names, and attendees there state which sponsors they recall.
Decides:Which sponsorship activation formats return in next year's sponsor packages.
See sales decisions →Attendees state what made them leave early or skip the next edition, from queues and food to transport and price.
Decides:Which venue and program fixes get next year's budget.
See product decisions →Each figure links to its venue photo or attendee answer, so a sponsor report shows the source beside the event ROI the team calculates.
Each named sponsor placement counts once a geo-verified photo places it at the venue on event day.
Attendees in Sena's consumer network choose what to share. Every capture clears a multi-level QA flow before it counts. Sena declines a capture that misses the check, and the decline stays visible.
For return attendance, event management analytics starts with two figures the team enters: the attendees on this edition's ticket list and the share who would return at next year's price. Event organizers set that share and hold it up against the reasons each attendee group gives.
The return attendance calculator shows the attendees ready to return and the revenue in reach.
A walkthrough takes one event in one market from attendee answer to the event strategy decision.
Pick the closest fit, and the walkthrough starts from that team's question.
Event strategy on host cities, dates, and formats, set from where attendees would travel.
Book a strategy walkthrough →A ticket pricing strategy built on what each attendee segment would pay.
Book a ticketing walkthrough →Event sponsorship renewals backed by dated signage photos and the sponsors attendees recall.
Book a sponsorship walkthrough →Event marketing aimed at the markets and segments attendees come from.
Book a marketing walkthrough →Sena captures geo-verified photos and consumer activity in the markets a question names, when the question needs it.
Sena reads those captures beside the files and systems already in use, across 250+ integrations.
Sena compares the market against the plan and shows each gap, with every figure traced to its source.
| Area | Common method | Sena |
|---|---|---|
| Host city | Past event attendance by host city | Where attendees would travel, and when |
| Ticket tiers | Last edition's sales by tier | What each segment would pay per tier |
| Sponsor proof | Recap photos and scan counts sent after the event | Dated, geo-verified photos of each named placement |
| Attendee experience | Gate scans and event app check-ins | The reasons attendees give for leaving early or returning |
| Auditing | Ticketing, sponsor, and venue files reconciled by hand | Each count tied to a dated photo or an attendee answer |
Talk to the Rwazi team about one event, one market, and the decision on the table this quarter.