Ecommerce Competitor Research
Web Application Development
8 Weeks
Python, Django, ReactJS & PostgreSQL
Product and competitor research can quickly become time-consuming when users have to search across multiple sources, compare ads manually, and keep track of different products separately.
DropAds needed a dedicated platform that could bring product discovery and competitor ad research together in one subscription-based dashboard while keeping the experience simple and easy to use.
The main challenges included:
We built a custom subscription-based web application that gives users access to a dedicated product and competitor ad research dashboard.
The platform brings winning product discovery, ad research, and competitor analysis together in one place, giving users a more organised way to research opportunities without relying on multiple disconnected tools.
The experience was designed around a simple user journey:
Subscribe → Access Dashboard → Discover Products → Research Ads → Analyse Competitors
The result is a focused research platform that makes product discovery and competitor ad research easier for users while supporting DropAds’ subscription-based business model.
We started by focusing on how users actually research products and ads.
The goal was to remove unnecessary steps and make the dashboard easy to return to every day. Instead of overloading users with features, the experience was structured around the core tasks they came to the platform to complete.
Users can purchase a monthly subscription to access the DropAds dashboard.
This creates a simple business model for the platform while giving subscribers ongoing access to the research tools they need.
The subscription flow was designed to make the transition from signup to dashboard access straightforward.
The platform helps users explore products that may be worth researching further. Rather than searching manually across different places, users can begin from one central dashboard and review product opportunities in a more organised way.
This makes the product discovery process quicker and easier to manage.
Competitor research is one of the most valuable parts of the platform.
Users can review advertising activity and study how other businesses are promoting products, helping them understand what types of ads, products and approaches are already being used in the market.
This makes competitor analysis more accessible from one dedicated dashboard.
The dashboard brings product research and ad research together in one experience.
Users can move between discovering products and reviewing competitor ads without leaving the platform, creating a smoother and more connected workflow.
The application was designed as a subscription product that users can return to regularly.
Clear navigation and a focused dashboard experience help reduce friction, making it easier for subscribers to continue their research over time.
The platform was built as a custom web application using:
Django and Python were used to support the application logic and backend workflows, ReactJS powers the interactive frontend experience, and PostgreSQL manages the application data.
