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Development of a Web-Based Competitive Market Intelligence Platform for Marketing Analytics
  1. case
  2. Development of a Web-Based Competitive Market Intelligence Platform for Marketing Analytics

Development of a Web-Based Competitive Market Intelligence Platform for Marketing Analytics

celadonsoft.com
Advertising & marketing

Identifying Challenges in Competitive Market Data Gathering and Analysis

The client requires a comprehensive system to track and analyze competitors’ website data, including pricing changes and website updates, to inform their marketing decisions. They face difficulties in gathering timely, structured data from competitors’ websites and need automated insights to stay ahead in a competitive landscape, all within budget and tight timelines.

About the Client

A mid-sized B2B enterprise seeking to enhance their marketing strategy through competitive data analysis and automation solutions.

Key Goals for the Market Intelligence System Development

  • Create a scalable web-based platform capable of scraping and aggregating competitor website data such as prices, product updates, and content changes.
  • Enable visualization of collected data for actionable insights.
  • Implement notification features to alert users of significant website changes.
  • Support user management with roles and access control for multiple team members.
  • Achieve an early system rollout within a three-month timeframe to facilitate rapid insights.

Core Functional Specifications for the Market Intelligence Platform

  • User management with role-based access control.
  • Web scraping capabilities for extracting pricing, product, and content data from competitor websites.
  • Website update tracking to monitor changes over time.
  • Data visualization dashboards for market and competitor analytics.
  • Automated notifications to alert users of relevant website changes.
  • Data collection using image recognition API to interpret image-based content where applicable.

Recommended Technologies and Architecture Approaches

Modern web application frameworks (e.g., Nest.js or similar backend frameworks)
Headless CMS for content management (e.g., Sanity or equivalent)
Web scraping libraries and tools, including image recognition APIs for content analysis
Cloud hosting solutions ensuring scalability and reliability

External Systems and Data Source Integrations Needed

  • Third-party image recognition/optical character recognition (OCR) APIs for interpreting image content
  • External website monitoring and crawling services
  • Notification services for real-time alerts

Performance and Security Benchmarks for the Platform

  • System should support concurrent access for multiple users with role-based permissions
  • Data collection and processing latency should be minimized to enable near real-time insights
  • Scalable architecture to handle growing data volumes and user base
  • Secure data handling adhering to industry best practices for privacy and data protection

Anticipated Business Benefits and Market Advantages

The platform aims to provide rapid, actionable competitor insights, leading to more informed marketing strategies. It is expected to enable early detection of market changes, improve decision-making efficiency, and support scaling operations. Achieving its deployment goals can offer measurable ROI through enhanced competitive positioning and potentially increased market share within the targeted small and medium business segments.

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