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About "Optimal AB Testing"

Optimize all aspects of your product listings to unlock your store’s true earning potential.

Optimal AB Testing

DevIT developed an intuitive and dynamic A/B testing app that enables businesses to run experiments, analyze performance, and optimize user experience in real-time. By combining a scalable backend with a user-friendly interface, the app helps businesses make quick and informed decisions to boost engagement and conversion rates.

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Project idea

The client required a robust and user-friendly A/B testing application that would allow businesses to experiment with different variations of their website or product features. The app needed to enable seamless setup, real-time tracking of performance metrics, and clear insights to help businesses make data-driven decisions, optimize user experience, and enhance overall engagement. DevIT developed a dynamic A/B testing application that empowers businesses to compare multiple variations in real-time. Using a highly intuitive interface, the app allows users to set up A/B tests, analyze user engagement, and monitor performance metrics. We ensured that the platform’s backend is scalable and optimized for handling large datasets, providing fast and accurate results. By utilizing Redis for session management and MySQL for data storage, we created a stable and high-performance system. AWS was leveraged for hosting, ensuring reliability and scalability. Additionally, we integrated Google Analytics to track analytics, enabling merchants to monitor where their customers are coming from and gain valuable insights into their traffic sources. The A/B testing app successfully launched and enabled businesses to make data-driven optimizations to their user experience, significantly improving engagement and conversion rates. The real-time feedback provided by the app allowed businesses to quickly understand the impact of different variations and make informed decisions faster. The user-friendly interface made the app accessible to businesses without technical expertise, leading to high user adoption.

Who worked on it:
  • Project Manager;

  • Tech Lead;

  • Full-stack developer

Time to release

7 month

Billable hours

1,200 hr

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