Objective: Develop a digital marketing platform that helps businesses manage, optimize, and analyze their digital marketing campaigns across multiple channels.
Target Users: Businesses, marketing teams, and digital marketers.
2. Core Features
User Authentication and Authorization:
Registration and login for businesses and marketing professionals.
Role-based access control (e.g., admin, marketing manager, analyst).
Campaign Management:
Tools to create, manage, and track marketing campaigns (e.g., email, social media, PPC).
Scheduling and automation of marketing tasks.
Budget management and allocation for campaigns.
Channel Integration:
Integration with various digital marketing channels (e.g., Google Ads, Facebook Ads, Twitter, LinkedIn).
API connections for real-time data fetching and campaign management.
Analytics and Reporting:
Data collection and analysis of campaign performance metrics (e.g., clicks, conversions, ROI).
Customizable reports and dashboards for performance tracking.
Visualization tools (e.g., charts, graphs) to represent data insights.
Audience Management:
Tools to segment and manage audience lists.
Targeting and personalization features for different audience segments.
Content Management:
Creation and management of marketing content (e.g., ads, social media posts, emails).
Content scheduling and approval workflows.
Lead Management:
Tracking and management of leads generated from marketing campaigns.
Integration with CRM systems for lead nurturing and follow-up.
Automation:
Automated workflows for repetitive marketing tasks (e.g., email drip campaigns, social media posting).
Triggers and conditions for automated actions based on user behavior.
3. Technical Requirements
Frontend:
User-friendly interface with responsive design.
Technologies like HTML, CSS, JavaScript, and frameworks such as React or Angular.
Backend:
Server-side development using languages like Python (Django/Flask), JavaScript (Node.js), or PHP.
RESTful APIs for integration with external services and communication between frontend and backend.
Database:
Data storage for user information, campaign data, analytics, and content.
Relational databases (e.g., MySQL, PostgreSQL) or NoSQL databases (e.g., MongoDB).
Security:
Encryption of sensitive data (e.g., user information, campaign data).