Customer story · UFC · Combat sports · Ticket aggregation
One search. Every seller. Best price.
UFC fans were bouncing across nine ticket marketplaces—stale prices, duplicate listings, and no single view of the best deal. Intellixa Labs built TicketWhiz's unified aggregation layer: live inventory from StubHub, Vivid Seats, SeatGeek, Gametime, Ticketmaster, and more—normalized, deduped, and ranked so fans convert in under 60 seconds on fight night.
Business and engineering outcomes Intellixa delivered
38%
conversion lift on UFC event pages after unified price comparison went live
<2s
all-seller price comparison load time at fight-night traffic scale
9
exclusive seller sources live and verified in one search experience
4×
organic UFC search traffic growth from SEO event pages and structured data
Platform capabilities
Unified Aggregation Engine
REST and GraphQL connectors pull live listings from nine marketplaces—normalized into one schema fans can compare side by side.
Dedup & Ranking
Duplicate seats collapse to the best offer; Gametime-style “best price” highlights surface the winner in gold—no tab hopping.
Fight Night Scale
Redis caching and Vercel Edge keep comparison pages sub-two-second when UFC traffic spikes—zero downtime on the biggest cards.
UFC fans bouncing across nine different sites to find the best deal
TicketWhiz needed to be the Expedia for combat sports—but the underlying data was a mess. Fragmented APIs across StubHub, Vivid Seats, SeatGeek, Gametime, Ticketmaster, MegaSeats, TicketNetwork, Viagogo, and ScoreBig each spoke different schemas. Prices went stale between refreshes. The same seat appeared from multiple sellers at different prices. And marketing had no conversion data tying search to checkout across partners.
A unified aggregation engine built for fight night scale
Intellixa delivered a fourteen-week program: API audit and schema mapping, a normalization pipeline, dedup and ranking engine, then SEO event pages and conversion tracking. Fans search once—UFC 298-style price bars show every seller with the best price highlighted. Redis caches hot paths; Postgres holds canonical inventory; Vercel Edge serves comparison UI in under two seconds when McGregor cards drive traffic spikes.
Intellixa did not build another ticket storefront—we built the comparison layer that makes nine sellers feel like one search.
Fan path
One UFC search—from nine sellers to best price in seconds
- 1Search eventUFC · one box
- 2Aggregate9 APIs · normalize
- 3RankDedup · best price
- 4ConvertSeller handoff
Stack in production
Products & services engineered
Ticketing · Sports TechUnified data pipeline
Ingestion, normalization, and refresh schedules across nine marketplace APIs
Dedup & ranking engine
Collapse duplicate listings and surface best price per seat cluster
Redis caching layer
Sub-2s comparison loads during UFC and major combat sports spikes
SEO event pages
Programmatic UFC and fight-night pages driving 4× organic search traffic
Conversion analytics
Attribution from search → seller handoff → purchase across partners
Seller verification layer
Trusted marketplace badges and integrity checks before listings go live
Executive summary
TicketWhiz is a ticket price comparison aggregator for live events—with a combat sports focus on UFC cards where fans historically compared prices across many tabs. Intellixa Labs built the aggregation engine, dedup logic, caching layer, and SEO surface that turned fragmented seller APIs into one search experience.
Outcome: 38% conversion lift on UFC pages, sub-two-second all-seller comparisons, nine live verified sources, and 4× organic UFC search traffic—with fight-night uptime when error rates used to spike.
Engagement context—and how Intellixa solved it
Client: TicketWhiz · Industry: Ticketing / Sports Tech · Engagement: 14 weeks · Services: API integration, data engineering, front-end.
Partners integrated include StubHub, Vivid Seats, SeatGeek, Gametime, Ticketmaster, MegaSeats, TicketNetwork, Viagogo, and ScoreBig—displayed side by side with transparent pricing and verified marketplace badges.
- 38% conversion lift · <2s price load · 9 sellers · 4× UFC organic traffic
- Fight-night scale: Redis + edge delivery with zero downtime on peak cards
- Fans find best price in seconds—not nine open tabs
The four problems we addressed
Fragmented APIs: Nine marketplaces, nine schemas—no canonical event or listing model.
Stale pricing: Fans saw outdated totals until they clicked through and got surprised at checkout.
Duplicate listings: The same section appeared multiple times at different prices—eroding trust.
No conversion data: Marketing could not see which seller won the fan after search.
Fourteen-week delivery program
Weeks 1–3 — API audit & schema mapping: Inventory every seller endpoint, field mapping, and rate limits.
Weeks 4–7 — Normalization pipeline: Canonical events, listings, and price objects in Postgres.
Weeks 8–10 — Dedup & ranking engine: Best-price selection, duplicate collapse, gold-highlight UX.
Weeks 11–14 — SEO pages & conversion tracking: Programmatic UFC event URLs, analytics, handover.
Fight night traffic. Zero downtime.
38% conversion lift on UFC event pages versus pre-aggregation baseline.
Sub-two-second all-seller price comparison at production traffic—including fight-night spikes.
Nine sellers live, verified, and ranked in one view with marketplace trust signals.
4× organic UFC search traffic from SEO event pages and structured comparison content.
- "UFC fight nights used to spike our error rate. Now our UFC pages are our top-converting category—the aggregation layer just works, and fans find the best price in seconds." — Product lead, TicketWhiz
Scope & deliverables
Intellixa shipped production infrastructure—not a slide deck: unified pipeline, dedup engine, Redis layer, SEO templates, conversion analytics, and seller verification—so TicketWhiz could own fight-night scale without re-platforming partners.
Scaling a platform for TicketWhiz? Intellixa Labs ships production architecture, data platforms, and AI systems with the same discipline we brought to TicketWhiz—measurable outcomes and SEO-ready launch quality.