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Development of an Automated Web Data Extraction and Market Intelligence SaaS Platform
  1. case
  2. Development of an Automated Web Data Extraction and Market Intelligence SaaS Platform

Development of an Automated Web Data Extraction and Market Intelligence SaaS Platform

capitalnumbers.com
Advertising & marketing
Business services

Addressing Manual Data Extraction Challenges in Digital Marketing

The client faces increasing difficulty in manually extracting and analyzing high-volume web data relevant to marketing topics and keywords. Manual processes are inefficient, time-consuming, and no longer feasible for scaling operations involved in identifying trending topics, competitive insights, and keyword opportunities for digital advertising campaigns.

About the Client

A mid-sized marketing technology firm specializing in keyword and audience analysis for digital advertising campaigns, seeking to automate and scale their data collection and analysis processes.

Goals for Automated Web Data Collection and Market Insight Platform

  • Develop a scalable SaaS platform to automate the extraction of relevant web topics and keywords from unstructured online data sources.
  • Enable quick and semantic grouping of high-quality marketing topics and keywords for campaign planning.
  • Implement features to track trending topics and content, providing real-time insights.
  • Create visual tools such as hex maps and Venn diagrams to analyze competitive keywords and marketing gaps.
  • Integrate advanced natural language processing APIs for text analysis and data classification to enhance insight quality.
  • Automate data scraping, processing, and analytics to reduce manual effort and accelerate go-to-market times.
  • Ensure platform security, high availability, and scalability to support variable data loads.

Core Functionalities for an Automated Market Intelligence Platform

  • An admin dashboard for semantic extraction and grouping of web topics and keywords from multiple data formats.
  • Real-time trend tracker for identifying popular content topics with high lead potential.
  • Hex grid visualization for mapping competitor keywords, uncovering marketing opportunities, and analyzing search trends.
  • Visualization tools, including high-quality topic representation based on impressions, search volume, and audience engagement metrics.
  • Venn diagram analysis of overlapping keywords between the client and competitors to identify marketing gaps.
  • Integration with APIs for natural language processing (e.g., text classification, sentiment analysis).
  • APIs for data aggregation and SEO insights from multiple sources, enabling harmonized and cost-effective data analysis.
  • A secure user management system with role-based access control.

Preferred Technologies and Architecture for Data Extraction Platform

Java for backend development due to modularity, platform independence, and security.
Front-end framework utilizing two-way data binding for streamlined UI updates.
Angular or similar modern UI framework for creating a user-friendly, maintainable interface.
Jsoup or comparable HTML parsing libraries for fast HTML data extraction.
MySQL or equivalent relational database for secure data storage and management.
APIs such as DataForSEO for SEO data collection and harmonization.
NLP APIs like MonkeyLearn or IBM Watson for text analysis and classification.
Cloud hosting on scalable solutions such as AWS for high data transfer speeds, reliability, and low latency.

Essential External System and API Integrations

  • SEO Data API for gathering and structuring search engine optimization insights.
  • Natural language processing APIs for text analysis and categorization.
  • Competitive intelligence APIs for mapping keywords and market gaps.
  • Cloud hosting APIs/services to ensure deployment stability, scalability, and security.

Non-Functional Requirements for Platform Scalability and Security

  • Scalable architecture supporting high-volume web scraping and data processing with minimal latency.
  • Reliable uptime of 99.9% for continuous service availability.
  • Data security protocols aligning with industry best practices to protect sensitive client data.
  • Secure API integrations with strong encryption and authentication measures.
  • Ease of maintenance and extensibility to incorporate future analytics features.

Expected Business Impact of the Data Extraction and Analytics Platform

The implementation of this automated web data extraction and market intelligence platform is anticipated to significantly reduce manual efforts, allowing clients to accelerate their analysis cycles by up to 50%. It will empower marketing teams with real-time, actionable insights into trending topics, competitive keyword gaps, and marketing opportunities, ultimately improving campaign effectiveness and increasing ROI. The scalable architecture will support growth demands, enabling the client to expand their data volume and analytical capabilities efficiently.

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