Case Study . Ticketing Analytics Platform

Ticketing Analytics Platform

How ZAPTA built a real-time analytics and ticketing-insights platform that reveals pricing trends and optimal purchase timing, helping buyers across 100+ locations purchase 15K+ tickets and save over $100K.

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Industry

Analytics · Ticketing

Project type

Full-Stack Web Platform

Engagement model

End-to-End Development

Platform

Web · Cloud

Users served

Buyers · Sellers · Analysts

Data

Real-time market aggregation

Project snapshot

Engagement at a Glance

PeakSeats was built to serve buyers, sellers, and market analysts with actionable intelligence around live-event ticket pricing and availability. Rather than simply listing tickets, the platform focuses on uncovering market dynamics, so users can make smarter decisions about when to buy or sell.

Event ticket markets are complex and volatile, with prices driven by supply, demand, timing, and hidden fees. Buyers often lack visibility into pricing trends and the best windows to purchase, leading to missed opportunities or overpaying, while sellers struggle to judge the right time and price to list. Existing tools offered listings but little genuine market intelligence.

ZAPTA designed and delivered a full-stack web platform that aggregates ticket-market data, analyzes trends, visualizes insights, and provides clear guidance for both buyers and sellers, built on a scalable architecture able to ingest high volumes of market data in real time.

100+ faster

Event locations covered

15K+ fewer

Tickets purchased through insights

$100K+ processed

Saved for buyers

The challenge

What the project set out to solve

Ticket markets are opaque and volatile, five challenges shaped the brief for a real-time analytics platform.

Unpredictable pricing
Volatility

A data-aggregation engine gathers ticket listings, pricing histories, inventory changes, and supply-demand signals in real time across 100+ locations.

No visibility into timing
Buyers

Buyers lacked insight into pricing trends and the best windows to purchase, leading to missed opportunities or overpaying.

Guesswork on listing
Sellers

Sellers struggled to judge the ideal time and price to list tickets, leaving value on the table.

The solution

A real-time market intelligence platform

Four design decisions turned an opaque ticket market into clear, actionable guidance for both sides.

Real-time aggregation
Data Engine

A data-aggregation engine gathers ticket listings, pricing histories, inventory changes, and supply-demand signals in real time across 100+ locations.

Trend dashboard
Visualization

Interactive charts reveal pricing movement, supply drops, and the optimal windows to act turning raw data into clear visual insight.

Tailored modules
For Buyer & seller

Dedicated interfaces give buyers a “best time to buy” view and sellers a “best time to list” view, each built around their decision.

Alerts & recommendations
Audit friction

Automated triggers fire when prices move sharply or supply tightens, helping users act at the right moment rather than after it.

Client voices

What Terry Said

Key features build

What we built

A complete, full-stack analytics platform, each capability built to turn volatile ticket-market data into confident decisions.

1
 Data aggregation engine
Gathers large volumes of listings, pricing histories, and supply-demand signals in real time, forming the backbone of the platform’s intelligence.
2
Trend visualization dashboard
Interactive charts and graphs surface pricing movement, supply drops, and optimal purchase windows at a glance
3
Buyer module
A “best time to buy” view helps buyers avoid overpaying and act when prices are most favorable.
4
Seller module
A “best time to list” view helps sellers price and time their listings to capture more value.
5
Alerts & recommendations
Automated triggers notify users of sharp price moves or tightening supply, enabling proactive decisions.
6
Scalable Infrastructure
A modular architecture built for high-volume data intake and fast UI response, ready for future expansion.

Results delivered

The outcomes that mattered

Value delivered across coverage, savings, and decision-making, anchored by real platform usage.

100+ faster

Event locations covered by real-time market data.

15K+ down

Tickets purchased by users acting on platform insights.

$100K+ live

Total savings buyers achieved by buying at the right time.

Real-time onboarded

Automated workflows replaced manual market monitoring.

Transparent by default

Buyers and sellers gained insight into an otherwise opaque market.

Scalable month

A base ready for predictive pricing and marketplace extensions.

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Stack

The DrBroker Technology Stack

Modern, fintech-ready tools selected for transaction integrity, audit traceability, and rapid iteration.

AWS
AWS
GCP
GCP
PostgreSQL
MongoDB
Azure
Vercel
Netlify
Terraform
GitHub Actions
Docker

How we worked

Our Three-Phase Delivery Process

The same process ZAPTA applies to every engagement — adapted to DrBroker’s six-month, fixed-scope timeline.

Phase 1

Consult and Align

Discovery, strategy, planning, requirement gathering, roadmap alignment.

Phase 2

Design and Engineer

UI/UX, architecture, development, testing, iteration.

Phase 3

Deploy and Maintain

Launch, monitoring, support, optimization, scaling.

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Phone No 111-222-333

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