Qualitest enabled a global tech leader to deliver scalable solutions and smooth shopping experiences for users, retailers, and manufacturers worldwide throughout their shopping journey.
Partnering with Qualitest helped the client to achieve more than 90% improvement in key performance indicators (KPIs).
The client needed a smooth and seamless shopping experience that meets diverse user expectations across global markets while ensuring the best shopping journey for users, retailers, and manufacturers.
Qualitest delivered the ideal solution by assessing shopping search queries and performing loss analysis to identify failure points while collaborating closely with the engineering team to refine algorithms. This included creating conversational query data to enhance machine learning models and using proprietary tools to analyze, rate, and categorize queries for quality control purposes.
Improvement in key performance indicators (KPIs).
Extended the availability of merchant offers to users.
The client is a global technology leader focused on providing Internet-related products and services. The firm specializes in search, software, advertising, and hardware. They also invest in innovative solutions to connect users, businesses, and manufacturers globally.
The client wanted to make the shopping experience smooth to meet diverse user expectations. With a varied customer base having different needs and preferences, the goal was to ensure a smooth journey process from product discovery to checkout, allowing every user to shop with ease.
Challenges included:
Qualitest helped the client with scaling and improving the user’s shopping journey.
Analyzed user search queries for shopping.
Identified the root cause of failed queries and resolved them with the collaboration of the engineering team.
Created data through conversational questions.
Reviewed, evaluated, and classified queries created through proprietary testing platforms.
Translated, examined, and added context to the datasets provided.
Refined offer classifications within the Buyable Corpus by using Regex patterns on URLs to identify and label offers.
Achieved more than 90% KPI value quarter-on-quarter (QoQ), consistently meeting all significant performance benchmarks.
Enabled greater user access to merchant deals with 1.7M URLs, driving stakeholder value.
Significantly increasing offer availability for users with 5.8M URLs in the U.S.
Improved access to 2.2M URLs, delivering measurable savings across the region.