Project Name
Enhancing Product Filtering with Google Analytics Connector
A leading auto parts retailer faced challenges in helping customers find the right parts for their vehicles, resulting in low customer satisfaction and high return rates. With a diverse inventory catering to various vehicle makes, models, and years, the retailer needed a solution to streamline product discovery. By leveraging Ksolves’ Google Analytics Connector, the retailer gained deep insights into customer search behavior and vehicle specifications, enabling optimized product filtering and an improved shopping experience.
- Difficulty in Helping Customers Find Parts: Customers struggled to locate compatible auto parts due to inadequate filtering options, leading to frustration and abandoned carts.
- High Return Rates: Incorrect part selections caused by unclear filtering resulted in frequent returns, increasing operational costs.
- Lack of Insight into Search Behavior: The retailer lacked data on customer search queries and preferences, making it hard to tailor the product discovery process.
Ksolves implemented the Google Analytics Connector to integrate Google Analytics 4 (GA4) with Salesforce Commerce Cloud, using Google Tag Manager to track customer interactions and refine product filtering.
- Tracked Vehicle Specifications: The solution captured key data points, such as vehicle make, model, and year, alongside e-commerce events like product views, searches, and add-to-cart actions.
- Analyzed Search Queries: GA4’s real-time tracking provided insights into customer search patterns, identifying popular vehicle types and commonly searched parts.
- Improved Product Filtering: Using insights from GA4, the retailer optimized its filtering system to prioritize relevant vehicle-specific options, simplifying the search process for customers.
- Streamlined Product Discovery: Enhanced filtering reduced the time customers spent searching for compatible parts, improving the overall shopping experience.
- Reduced Return Rates: Accurate part recommendations based on vehicle specifications minimized incorrect purchases.
- Data-Driven Insights: Real-time tracking of search queries and customer behavior enabled continuous improvements to the filtering system.
By integrating Google Analytics 4 with Salesforce Commerce Cloud through Ksolves’ Google Analytics Connector, the auto parts retailer revolutionized its product filtering process. Real-time insights into vehicle specifications and search behavior enabled a tailored shopping experience, reducing returns and boosting customer satisfaction. This case study highlights the power of data-driven solutions in transforming the auto parts retail industry.
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