Faslet Size Me & Try On and ST: Product & Collection Sort, while both listed under the 'Product display' Shopify category, address fundamentally different aspects of the online shopping experience. Faslet Size Me & Try On focuses on improving product discovery and reducing returns by providing size recommendations for apparel and fashion retailers. Its strength lies in its specialized algorithm, customizable design, and promise of accuracy in size predictions. It's clearly targeted at fashion brands and multi-brand stores looking to enhance their customer experience in size selection. ST: Product & Collection Sort, on the other hand, is designed to optimize collection page merchandising through automated sorting based on various data points, including sales data, GA4 metrics, and product attributes. Its strength lies in its comprehensive feature set for collection management, offering rule-based and visual sorting options. This app is targeted toward merchants who want to automate merchandising decisions, increase revenue, and reduce the manual effort involved in managing product collections. The scope of the two apps is therefore drastically different, one focused on individual product fitting, the other on collection-level arrangement.
12 reviews
179 reviews
Faslet's Size Me Up helps your retail customers find the perfect size in just a few easy steps
Automate merchandising decisions on collection pages to increase revenue and reduce manual work
| Rating | 5/5 | 5/5 |
Rating Faslet Size Me & Try On5/5 ST: Product & Collection Sort5/5 | ||
| Reviews | 12 | 179 |
Reviews Faslet Size Me & Try On12 ST: Product & Collection Sort179 | ||
| Core Function | Size Recommendation | Collection Sorting & Merchandising |
Core Function Faslet Size Me & Try OnSize Recommendation ST: Product & Collection SortCollection Sorting & Merchandising | ||
| Target Merchant | Fashion Retailers | All Merchants with large catalogs |
Target Merchant Faslet Size Me & Try OnFashion Retailers ST: Product & Collection SortAll Merchants with large catalogs | ||
| Key Benefit | Reduced Returns, Improved Customer Satisfaction | Increased Revenue, Reduced Manual Work |
Key Benefit Faslet Size Me & Try OnReduced Returns, Improved Customer Satisfaction ST: Product & Collection SortIncreased Revenue, Reduced Manual Work | ||
| Algorithm Focus | Size Prediction | Data Analytics & Past Orders |
Algorithm Focus Faslet Size Me & Try OnSize Prediction ST: Product & Collection SortData Analytics & Past Orders | ||
| Customization | Widget Design | Sorting Rules & Collection Layout |
Customization Faslet Size Me & Try OnWidget Design ST: Product & Collection SortSorting Rules & Collection Layout | ||
| Ease of Use (Inferred) | Likely simple integration with widget | Potentially complex rule-based setup |
Ease of Use (Inferred) Faslet Size Me & Try OnLikely simple integration with widget ST: Product & Collection SortPotentially complex rule-based setup | ||
The choice between Faslet Size Me & Try On and ST: Product & Collection Sort depends entirely on the specific needs of the merchant. For online fashion retailers struggling with size-related returns and aiming to improve the customer experience in size selection, Faslet Size Me & Try On is the more relevant choice. Its focused approach on size recommendation, modern design, and accuracy claims make it a strong contender for enhancing product discovery in the fashion vertical.
However, for merchants with large product catalogs who want to automate collection management, optimize product placement, and increase revenue through intelligent merchandising, ST: Product & Collection Sort is the superior option. Its comprehensive feature set, data-driven approach, and ability to sort based on various metrics make it a powerful tool for maximizing the potential of collection pages. A merchant could potentially even use both in tandem, but they address vastly different areas of the online store experience.
Based on the descriptions, Faslet Size Me & Try On likely offers a simpler setup process, focusing on widget integration and design customization. ST: Product & Collection Sort, with its rule-based sorting and data analytics features, might require more time and expertise to configure effectively.
ST: Product & Collection Sort has significantly more reviews (179) than Faslet Size Me & Try On (12), indicating a larger user base and potentially more social proof.
Yes, it is possible to use both apps together, as they address different aspects of the online store. Faslet enhances the product page (size finding) while ST enhances category pages (merchandising). However, ensure that the apps don't conflict with each other or slow down your site.
For a brand new store, ST: Product & Collection Sort might be more beneficial, providing an initial boost to product discoverability and sales through strategic collection sorting. Faslet can be implemented later as the customer base grows and size-related return issues become more apparent.
Faslet Size Me & Try On uses product sizing data and potentially customer measurements to recommend sizes. ST: Product & Collection Sort uses sales data, GA4 data (views, add to carts), product attributes (tags, sizes, metafields), and inventory information for sorting.
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