A/B testing and conversion analysis
Ecommerce Webstores
Implement and evaluate controlled storefront experiments that improve customer engagement and conversion.
What this bullet means
The employer wants more than visual changes. A good developer can safely compare variations, define what success looks like, and use results to guide the next decision.
Sample app idea
Shopify theme experiment using Liquid sections, JavaScript events, CSS variants, and synthetic storefront conversion data.
Main build outline
- Create two Liquid section variations for a fictional product page experiment.
- Use JavaScript events to record synthetic views, add-to-cart actions, and completed-order test data.
- Document the hypothesis, results, and theme decision before removing or keeping a variation.
Portfolio proof
- Experiment dashboard with synthetic engagement and conversion results.
- Written conclusion explaining why one variation was kept, changed, or removed.
Minimal documentation
- README with the business problem, screenshots, setup notes, and technology stack.
- One requirements note that maps the job bullet to the sample feature.
- One test plan note with happy path, validation, and edge case checks.
- One honest portfolio note that says this is self-directed practice, not employer work.
Modern .NET stack
- Blazor Server or ASP.NET Core Razor Pages.
- C# services with validation and dependency injection.
- SQL Server locally, then SmarterASP SQL Server or Azure SQL.
- Optional Azure App Service, GitHub Actions, Docker, and AI helper feature.