web app that connects influencers to brands using analytics and valuation
Budget: $1,500 – $3,000 USD
I am looking for a web app that can connect in- Analytics and reporting: I am most interested in engagement metrics, so the app should be able to track and analyze the engagement levels of influencers. The app should have a search functionality that allows me to find influencers based on specific criteria, such as follower count, niche, and location.
- Influencer search and filtering: fluencers to brands using analytics and valuation. The app should have the following features:
2. Core Components:
- Data Collection Module:
- API Integration: Integrates with social media platforms (Instagram, TikTok, YouTube, etc.) to fetch real-time data.
- Web Scraping: For platforms or data points not accessible via APIs, utilize web scrapers built with tools like Scrapy or Beautiful Soup.
- Data Processing Module:
- ETL Process: Extract, Transform, Load processes to clean, format, and store the data in a structured manner.
- Normalization: Ensure data uniformity to make analytics consistent across different platforms and influencers.
- Analysis Module:
- Engagement Metrics: Calculate likes, comments, shares, views, and overall engagement rates.
- Growth Metrics: Analyze follower growth rate, churn rate, and audience retention.
- Audience Demographics: Breakdown of audience by age, gender, location, interests, etc.
- Valuation Algorithm:
- Dynamic Weighting: Assign weights to different metrics based on their importance to brands.
- Historical Data Analysis: Consider the influencer's past performance, campaign outcomes, and ROI.
- Benchmarking: Compare individual influencer metrics against industry or niche averages.
Ideal skills and experience for this project include:
- Web development: The app should be built using web technologies such as HTML, CSS, and JavaScript.
- Analytics and data visualization: The developer should have experience in integrating analytics tools and presenting data in a visually appealing and
- Influencer search and filtering: fluencers to brands using analytics and valuation. The app should have the following features:
2. Core Components:
- Data Collection Module:
- API Integration: Integrates with social media platforms (Instagram, TikTok, YouTube, etc.) to fetch real-time data.
- Web Scraping: For platforms or data points not accessible via APIs, utilize web scrapers built with tools like Scrapy or Beautiful Soup.
- Data Processing Module:
- ETL Process: Extract, Transform, Load processes to clean, format, and store the data in a structured manner.
- Normalization: Ensure data uniformity to make analytics consistent across different platforms and influencers.
- Analysis Module:
- Engagement Metrics: Calculate likes, comments, shares, views, and overall engagement rates.
- Growth Metrics: Analyze follower growth rate, churn rate, and audience retention.
- Audience Demographics: Breakdown of audience by age, gender, location, interests, etc.
- Valuation Algorithm:
- Dynamic Weighting: Assign weights to different metrics based on their importance to brands.
- Historical Data Analysis: Consider the influencer's past performance, campaign outcomes, and ROI.
- Benchmarking: Compare individual influencer metrics against industry or niche averages.
Ideal skills and experience for this project include:
- Web development: The app should be built using web technologies such as HTML, CSS, and JavaScript.
- Analytics and data visualization: The developer should have experience in integrating analytics tools and presenting data in a visually appealing and