How to Build a Dynamic Keyword Ranking Performance Tracker

Develop a comprehensive keyword ranking performance tracker enables users to track and visualize the ranking trends of their domains over a 30-day period. This tool features an interactive paginated keyword list, a customizable line chart, and daily data updates, empowering users to make data-driven decisions for their SEO strategies.

Create your own plan

Learn2Vibe AI

Online

What do you want to build?

Simple Summary

This project aims to create a powerful keyword ranking performance module that allows users to visualize and analyze the ranking trends of their domains over time, providing valuable insights for SEO strategies.

Product Requirements Document (PRD)

Goals:

Provide users with a clear visualization of keyword ranking performance across multiple domains
Enable easy comparison of ranking trends over a 30-day period
Facilitate quick access to keyword data through a paginated and sortable list
Ensure data freshness with daily updates

Target Audience:

SEO professionals
Digital marketers
Website owners managing multiple domains

Key Features:

Paginated keyword list (20 keywords per page)
Sortable columns for regional and global search volume
Interactive line chart displaying ranking performance for up to 10 domains
Daily data updates with both automatic and manual options
Error tracking and display on a dashboard

User Requirements:

View keyword list with search volume data
Sort keywords by regional or global search volume
Select a keyword to view its ranking performance chart
Analyze ranking trends for multiple domains simultaneously
Access fresh data updated daily
Monitor update process and view any errors

User Flows

Viewing Keyword Performance:
- User navigates to the keyword performance module
- User browses the paginated keyword list
- User clicks on a specific keyword
- System displays the line chart showing ranking performance for all domains
Sorting Keywords:
- User clicks on the regional or global search volume column header
- System reorders the keyword list based on the selected sorting criteria
Checking Update Status:
- User navigates to the dashboard view
- User views the update status and any error cards
- User can trigger a manual update if needed

Technical Specifications

Frontend:

React.js for building the user interface
Chart.js or D3.js for creating the interactive line chart
Axios for making API calls

Backend:

Node.js with Express.js for the server
MongoDB for storing keyword and ranking data
Redis for caching frequently accessed data

Data Collection:

Custom web scraping tool or third-party SEO API for gathering ranking data

Authentication:

JWT (JSON Web Tokens) for user authentication

API Endpoints

GET /api/keywords
- Retrieves paginated list of keywords with search volume data
- Query parameters: page, sortBy, sortOrder
GET /api/keyword performance
- Retrieves 30-day ranking performance data for a specific keyword
- Query parameters: keywordId, startDate, endDate
POST /api/updates/manual
- Triggers a manual data update
GET /api/updates/status
- Retrieves the current update status and any errors

Database Schema

Keywords Collection:

{
  _id: ObjectId,
  keyword: String,
  regionalSearchVolume: Number,
  globalSearchVolume: Number,
  lastUpdated: Date
}

Rankings Collection:

{
  _id: ObjectId,
  keywordId: ObjectId,
  domainId: ObjectId,
  date: Date,
  ranking: Number
}

Domains Collection:

{
  _id: ObjectId,
  url: String,
  name: String
}

File Structure

/src
  /components
    KeywordList.js
    RankingChart.js
    LoadingIndicator.js
    ErrorCard.js
  /pages
    KeywordPerformance.js
    Dashboard.js
  /services
    api.js
    chartService.js
  /utils
    chartHelpers.js
    dateHelpers.js
  App.js
  index.js
/server
  /controllers
    keywordController.js
    rankingController.js
    updateController.js
  /models
    Keyword.js
    Ranking.js
    Domain.js
  /routes
    keywordRoutes.js
    rankingRoutes.js
    updateRoutes.js
  server.js
/scripts
  dataUpdate.js

Implementation Plan

Set up project structure and install dependencies
Implement backend API endpoints and database models
Create frontend components for keyword list and ranking chart
Develop data update script and scheduling system
Implement sorting and pagination for keyword list
Create dashboard view with error tracking
Integrate frontend with backend API
Implement loading indicator and chart update functionality
Set up automatic daily updates and manual update option
Conduct thorough testing and bug fixing
Optimize performance and implement caching where necessary
Deploy the application

Deployment Strategy

Set up separate development, staging, and production environments
Use Docker for containerization to for consistent deployment across environments
Implement CI/CD pipeline using Git4. Deploy backend to a scalable cloud platform (e.g., AWS Elastic Beanstalk or Google Cloud Run)
Host frontend on a CDN for improved performance (e.g., AWS CloudFront or Cloudflare)
Set up monitoring and logging (e.g., ELK stack or Datadog)
Implement database backups and disaster recovery procedures
Create documentation for deployment and maintenance processes

Design Rationale

The design decisions for this project prioritize user experience, data freshness, and scalability. The paginated keyword list with sortable columns allows for easy navigation and analysis of large datasets. The line chart provides a clear visual representation of ranking performance across multiple domains, enabling quick insights.

Daily automatic updates ensure data freshness, while the option for manual updates provides flexibility. The dashboard view with error tracking allows for easy monitoring of the update process. The proposed tech stack (React, Node.js, MongoDB) offers a good balance of performance, scalability, and developer productivity, making it suitable for this data-intensive application.