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Development of an Advanced Purchase Intent Data Analytics Platform for Tech Marketers
  1. case
  2. Development of an Advanced Purchase Intent Data Analytics Platform for Tech Marketers

Development of an Advanced Purchase Intent Data Analytics Platform for Tech Marketers

jetrockets.com
Media
Advertising & marketing
Business services

Identifying the Need for a Real-Time Purchase Intent Data Platform

A leading market intelligence company supporting the technology sector faces challenges in delivering real-time, integrated purchase intent insights across multiple channels. Their current tools lack the ability to combine first-party datasets with human-verified information, limiting their capacity to provide actionable, timely insights to tech marketers. This hinders their clients' ability to develop targeted campaigns, measure campaign effectiveness, and ultimately gain a competitive edge.

About the Client

A large-scale media and market intelligence firm focused on supporting technology industry clients with data-driven marketing solutions and demand generation tools.

Goals for Developing the Purchase Intent Data Analytics Solution

  • Create a comprehensive B2B analytics platform capable of integrating various data sources to deliver real-time insights on technology market behaviors.
  • Enable users to analyze trends, user interests, and engagement metrics through interactive visualizations and dashboards.
  • Incorporate features like automated onboarding, team member management, multilingual support, and customizable communication templates.
  • Ensure seamless integration with major CRM platforms, identity management systems, and secure data handling with compliance standards.
  • Design a scalable, secure, and user-friendly system to support a global user base of technology marketers and analysts.

Core Functional System Features for Data-Driven Marketing Insights

  • Multi-channel data integration to aggregate purchase intent signals and user interaction data.
  • Real-time data processing and analytics with trend analysis presented through charts and graphs.
  • Automated user onboarding with dedicated consulting support.
  • Team collaboration features allowing assignment of data results to team members.
  • Advanced filtering using multiple weighted parameters and dynamic language translation capabilities.
  • CRM and identity management system integrations including OAuth, SSO, and data privacy compliance.
  • Customizable email templates for communication with prospects and clients.
  • Billing and subscription management system integrated with a secure payment gateway.

Preferred Tech Stack and Architectural Approaches

Cloud-based infrastructure with scalable serverless architecture
Data processing with Elasticsearch for search and analytics
Backend development using GCP services such as Cloud Run, Cloud Tasks, and Cloud Scheduler
Frontend development leveraging JavaScript frameworks and libraries
State management with Redux and secure storage with PostgreSQL or DataStore
Implementation of microservices architecture for modularity and scalability

External System and Data Source Integrations Needed

  • CRM platforms such as Salesforce and HubSpot for customer data synchronization
  • Identity management systems like OAuth, Okta, and Single Sign-On solutions for user authentication
  • Email communication tools with customizable templates
  • Payment processing systems such as Stripe for billing and subscriptions
  • Data providers for B2B contact information and business insights
  • Language translation APIs for multilingual support

Performance, Security, and Scalability Expectations

  • System should support at least 10,000 concurrent users with minimal latency
  • Ensure data privacy and compliance with relevant standards (e.g., GDPR)
  • Implement secure authentication and role-based access control
  • Design for high availability with 99.9% uptime
  • Scalable architecture to accommodate increasing data volume and user base

Projected Business Benefits and Success Metrics

The development of this analytics platform is expected to enable the client to provide more accurate and timely purchase intent insights, leading to enhanced marketing campaign effectiveness. It aims to increase lead generation and conversion rates for their clients, ultimately strengthening their market position. As a measure of success, anticipated improvements include a significant rise in user engagement, with platform adoption expanding globally, and a reduction in time-to-insight for marketing teams.

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