Oohlytics: Digital Billboard Analytics System
Data-Driven Insights for Outdoor Advertising


Building a Data-Driven Billboard Analytics Platform
Oohlytics needed a centralized way to bring digital billboard data, campaign information and analytics together. Macromodule built a web-based analytics platform that helps organize complex outdoor advertising data and turn it into clearer, more actionable insights.
We developed Oohlytics, an AI-powered vehicle detection system that processes live camera feeds to automatically detect, track, and count vehicles with high accuracy and low latency.The goal was to build more than a monitoring tool. It was to create a real-time vehicle analytics platform capable of supporting smart city infrastructure, traffic intelligence, and outdoor advertising optimization.From Billboard Data to Actionable Insights
Fragmented Data & Complex Advertising Insights
Centralized Digital Billboard Analytics
Centralized Billboard Data
Bring digital billboard and advertising data into a structured platform for easier management and analysis.
Campaign Performance Insights
Provide analytics that help teams understand campaign information and evaluate outdoor advertising performance.
Clear Data Visualization
Present complex advertising data through an accessible interface that makes important information easier to interpret.
Scalable Analytics Platform
Create a flexible software foundation that can support evolving billboard analytics and advertising data workflows.
Client Requirements

Key Engineering Challenges
Fragmented Advertising Data
Bringing billboard and campaign information into a consistent structure can be challenging when data comes from different sources and formats.
Complex Data Interpretation
Outdoor advertising data needs to be organized and presented clearly so teams can understand campaign information without unnecessary complexity.
Data Processing and Integration
Analytics workflows need to process and organize relevant billboard data in a consistent way to support meaningful analysis.
Analytics Model Optimization
The platform needs a structured approach to analytical workflows so data can be transformed into relevant, understandable outputs.
Platform Reliability and Scalability
The software foundation needs to accommodate evolving data requirements while keeping analytics workflows organized and the user experience consistent.
Key Market Insights
“Billboard Performance Visibility”
Organized billboard data helps advertising teams review campaign information and gain a clearer view of outdoor advertising performance.
“Data as a Decision-Making Tool”
Structured advertising data can help teams move beyond scattered information and identify insights relevant to campaign planning and evaluation.
“Analytics-Driven Workflows”
Bringing data and analytics into one platform creates a more consistent workflow for reviewing advertising information and extracting useful insights.
“A More Informed Advertising Strategy”
Accessible analytics can support market research, campaign evaluation and better-informed decisions about outdoor advertising activities.

Solution Overview
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Centralized Data Organization Organize billboard and campaign information within a structured platform to make advertising data easier to access and review.
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Advertising Analytics Support the analysis of outdoor advertising information through workflows designed to turn structured data into useful insights.
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Clear Data Presentation Present analytics through a web interface that helps users navigate advertising information and interpret relevant findings.
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Integrated Web Experience Bring data-related workflows and analytics into a cohesive application experience built around the needs of outdoor advertising teams.
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Flexible Platform Foundation Provide a software foundation that can accommodate evolving analytics requirements as billboard data and reporting needs change.

System Architecture
Data Monitoring and Collection
The data layer organizes relevant billboard and advertising information for use across the platform's analytics workflows.
Data Processing Pipeline
A structured processing layer prepares advertising data for analysis, helping maintain consistency as information moves through the platform.
Analytics and Data Organization
The analytics layer organizes processed information to support billboard analysis and help users interpret campaign-related data.
Analytical Model Workflows
Analytical workflows support the interpretation of available data and the production of insights relevant to outdoor advertising.
Web Analytics Interface
The application layer presents analytics through a web interface, giving users a way to navigate advertising information and review relevant findings.
Engineering and Delivery Approach
Requirements and Data Analysis
Identify the platform's billboard analytics requirements and determine how advertising information should be organized, accessed and presented to users.
Data Structure and Processing
Establish a structured approach to handling relevant advertising data so it can move through the platform's analytics workflows consistently.
Analytics Workflow Development
Develop the workflows needed to organize and interpret billboard information in line with the platform's analytical requirements.
Web Interface Integration
Connect analytics outputs with the web experience so users can navigate advertising information and review relevant insights through a clear interface.
Validation and Refinement
Review data presentation, workflow consistency and interface behavior to help ensure the platform supports its intended billboard analytics use cases.
Data Governance and Platform Reliability
Structured Data Handling
LAYER // 01Organize advertising information into consistent structures to support its use across the platform's analytics workflows.
Consistent Data Processing
LAYER // 02Apply a structured approach to processing available billboard data so information can be handled consistently throughout analytical workflows.
Reliable Analytics Experience
LAYER // 03Keep data presentation and application workflows organized to help users access and interpret advertising information through a consistent web experience.

Project Outcomes
Centralized Advertising Data
Brought billboard and campaign information into a structured platform, making advertising data easier to organize and review.
Structured Analytics Workflows
Established an organized platform experience for working with advertising information and supporting analytical tasks.
Clearer Data Presentation
Presented advertising information through a web interface designed to help users navigate data and understand relevant insights.
Integrated Web Experience
Connected data-related workflows with a centralized application experience for reviewing billboard analytics information.
Foundation for Evolving Analytics Needs
Created a software foundation that can support further development as billboard data requirements and advertising analysis needs evolve.
What This Project Demonstrates
Digital Billboard Analytics
Organize billboard-related information to support the review and analysis of outdoor advertising data.
Advertising Data Management
Structure relevant advertising information within a centralized platform to make data easier to access and work with.
Campaign Insights and Reporting
Present campaign-related information through an accessible analytics experience that supports review and informed evaluation.
Web-Based Data Visualization
Help users navigate and interpret advertising information through a web interface designed around analytics workflows.
Build Your Analytics Platform with Macromodule
Macromodule develops custom software and data-driven applications that help businesses organize complex information, build analytics workflows and turn operational data into useful insights. Our solutions connect data engineering, web development and product design around specific business requirements.
Custom Analytics Platforms
Build tailored analytics applications that organize business data and present relevant information through accessible dashboards and workflows.
Data Engineering Solutions
Develop structured data workflows that help businesses organize, process and prepare information for reporting and analysis.
Business Intelligence Applications
Create web-based applications that help teams explore business information, review key indicators and support data-informed decisions.
Custom Web Application Development
Develop web applications around specific business processes, user needs and data requirements, with an emphasis on usability and maintainable software.

Frequently Asked Questions
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