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Case Study
Revenue Intelligence & Performance Analytics for a Global Ticketing Platform
Built a unified analytics layer for a global ticketing marketplace to uncover revenue drivers, identify conversion gaps, and enable data-driven decisions across events, producers, and customer behavior.
🏪
Industry
Ticketing/Events Marketplace
📅
Engagement
6 Months
🛠
Platform
MySQL, Metabase
🎯
Focus
Revenue Intelligence & Performance Analytics
The challenge
The platform had no unified view across revenue streams, producer activity, and buyer behavior — making it impossible to understand true platform health or identify where growth was leaking.
✓
No unified view of revenue across countries, currencies, and events
✓
Inability to identify top-performing producers and revenue concentration
✓
Extremely low conversion rates despite high traffic volumes
✓
Forecasting and planning done manually without predictive insights
✓
Insurance revenue and refund tracking fragmented across systems
What this meant for the business
📉
~$1.8M in revenue tracked across systems with no consolidated visibility
🔁
Top producers contributing ~$280K+ individually with no comparative performance insights
🔍
18.55% 7-day retention and 11.51% repeat users going completely unmonitored
🧩
Revenue forecasting done manually with no structured model for producer-level planning
📊
Insurance earnings ($2K+) and refunds tracked in isolated spreadsheets
Our approach
01
Admin & Revenue Dashboard
Built a multi-tab admin dashboard covering platform revenue, yearly and monthly growth, revenue per event, and country-level revenue distribution with live currency breakdowns.
02
Marketplace & User Analytics
Designed a full acquisition, engagement, retention, and conversion tracking system — including buyer/seller segmentation, age distribution, language split, and geo-mapped revenue.
03
Producer Intelligence
Delivered producer growth tracking, top 50 producer rankings, event fill rates, tickets sold per producer, time-to-first-event cohort analysis, and MAU/DAU monitoring.
04
Forecasting & Insurance
Built a Prophet-based revenue forecasting model with actual vs forecast comparisons at producer and platform level, plus a dedicated insurance dashboard tracking insured tickets, refunds, and earnings by event.
Key outcomes
Delivered measurable improvements in retention visibility and long-term revenue strategy.
🔄
0.14% → Identified
Critical conversion gaps despite high traffic (100K+ users)
📈
Top 10 producers
Revenue concentration and performance visibility unlocked
💰
$1.8M+
Revenue unified across regions, currencies, and events
🏷
End-to-end
Forecasting, insurance, and refund tracking centralized
What the client said
"
NMK Infotech helped us bring complete clarity to our revenue and performance across the platform.
We were able to identify key revenue drivers, uncover conversion gaps, and improve how we track producers and user behavior.
The dashboards are now central to how we monitor performance and plan future growth.
Product / Growth Lead
Ticketing Marketplace
Tech stack used
MySQL
Metabase
Python
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