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Development of Automated Marketing Intelligence SaaS Platform with Advanced Data Extraction and Analytics Capabilities

capitalnumbers.com

Advertising & marketing

Information technology

Challenges in Manual Data Extraction and Marketing Intelligence

Manual extraction of high-quality topics and keywords from unstructured internet data had become unsustainable, hindering advertisers' ability to identify market trends and execute data-driven campaigns at scale.

About the Client

Established in 2011, engageSimply is a New York-based Topic Intelligence company specializing in creating monetizable web topic cohorts for scalable advertiser acquisition campaigns.

Project Goals for Enhanced Marketing Intelligence Platform

Automate keyword and topic extraction from unstructured data sources
Develop a scalable SaaS platform for marketing intelligence
Enable real-time trend analysis and opportunity identification
Improve marketing campaign success rates through data-driven insights
Eliminate manual data processing workflows
Ensure seamless cloud deployment with high data transfer efficiency

Core System Functionalities and Key Features

Semantic topic clustering dashboard for administrators
Real-time content trend tracking interface
Competitive keyword mapping with hex grid visualization
Audience quality analysis with impression metrics
Venn diagram-based keyword overlap analysis
Integrated text classification via MonkeyLearn API
Multisource data harmonization using IBM Watson API
SEO data aggregation with DataForSEO API

Technology Stack Requirements

Java

Angular

Jsoup

MySQL

AWS

External System Integrations

DataForSEO API
MonkeyLearn API
IBM Watson API

System Quality Attributes

Horizontal scalability for handling large data volumes
Enterprise-grade security with data encryption
Low-latency data processing architecture
99.9% system uptime SLA
Cross-browser UI compatibility
Automated testing and CI/CD pipeline

Expected Business Impact of Automated Marketing Intelligence Platform

Enables 70% faster keyword discovery cycles, reduces manual data processing by 90%, improves campaign ROI through competitive intelligence visualization, and provides scalable SaaS infrastructure supporting 10x user growth while maintaining sub-second response times for analytics queries.