Offer Junky - iFlair Web Technologies

About Offer Junky

Offer Junky is a dynamic e-commerce platform dedicated to showcasing products with special offers.

The website features a comprehensive rating system that evaluates each product deal on a scale of 1 to 10. This helps users easily identify the best deals available.

Issues faced

Website speed

Mobile optimization

Product data integration

SEO concern

Data accuracy

Feedback integration

Our Approach

As per the requirements given by the client it was a very innovative approach as we haven’t worked on this type of solution. Client has the requirement and we started on knowing what are the probable solution we can give to the client

Probable requirement

Offer management
Managing the rating
Offers and voucher
Insights about user

The challenge

Offer rating system

Developing a system that allows users to rate offers effectively and accurately.

Data Management

Managing and updating a large volume of product data and offers without compromising performance.

User experience

Designing a user-friendly interface that makes it easy for users to find and evaluate offers.

Mobile responsive

Ensuring the website performs well on all devices, including smartphones and tablets.

SWOT Analysis

Strengths

Partnership and collaboration
Offerings and vouchers

Weakness

Dependency on other product
Low profit margins

Opportunities

Buy coupon and vouchers
Personal recommendation

Threats

Market competition
Economic fluctuations

Strategic solutions

Meter rating
- Users can rate each product as either a “Good Offer” or “Junk Offer.” If they select “Good Offer,” they will be redirected to the product’s purchase link.
Category type
- Hot – Special deals that are featured prominently as the best offers available today.
- New – Promotions for newly added products on the website.
- Discussed –Offers that are generating buzz and are frequently discussed by users.

Data Management
- Data Handling Manage and display offers based on the products available on the website.
- Behavior Tracking: Analyze how users interact with products and their interests.
- Targeted Promotions: Use these insights to create personalized promotional offers for users.