TOP 20 ON-PAGE FILTER EXPANSION RATE STATISTICS 2025
When it comes to creating smoother online shopping journeys, few things are as overlooked yet powerful as on-page filter expansion rate statistics. Think about the last time you were buying something simple like socks—did you click the price filter, or maybe the size filter, before even scrolling through the products? These small clicks reveal big truths about how customers actually shop, showing what matters most to them when narrowing down choices. By looking at which filters shoppers expand more often, brands can uncover not just browsing habits but also subtle signals of intent. It’s almost like peeking behind the curtain to see what truly drives people from scrolling to buying.
Top 20 On-page Filter Expansion Rate Statistics 2025 (Editor’s Choice)
| # | Statistics | Filter Type | Expansion Rate (%) |
|---|---|---|---|
| 1 | Price filter is the most expanded filter on category pages. | Price | 60% |
| 2 | Size filter expansion is common in apparel shopping journeys. | Size | 52% |
| 3 | Color filter sees steady use for style-driven browsing. | Color | 35% |
| 4 | Brand filter supports trust and loyalty-based narrowing. | Brand | 40% |
| 5 | Ratings/reviews filter grows in use at consideration stage. | Rating | 28% |
| 6 | In-stock-only filter reduces frustration from unavailable items. | Availability | 32% |
| 7 | Material filter appeals to quality and sustainability shoppers. | Material | 20% |
| 8 | Fast shipping filter expansion rises for urgent purchases. | Shipping Speed | 25% |
| 9 | Discount/sale filters surge during promotional periods. | Discount | 38% |
| 10 | Gender filter quickly narrows large apparel inventories. | Gender | 30% |
| 11 | Season filters support trend and calendar-based shopping. | Season | 15% |
| 12 | Seller/marketplace filters signal authenticity concerns. | Seller | 18% |
| 13 | Local availability filters matter for region-bound delivery. | Location | 22% |
| 14 | Sustainability filters attract eco-conscious audiences. | Sustainability | 12% |
| 15 | New arrivals filters serve novelty-seeking shoppers. | New Arrivals | 26% |
| 16 | Best seller filters leverage social proof for guidance. | Best Seller | 24% |
| 17 | Feature-specific filters surface must-have attributes. | Feature | 19% |
| 18 | Delivery option filters support convenience preferences. | Delivery Option | 23% |
| 19 | Return policy filters reduce perceived purchase risk. | Return Policy | 16% |
| 20 | Custom niche filters help decisive, high-intent shoppers. | Custom | 10% |
Top 20 On-page Filter Expansion Rate Statistics 2025
On-page Filter Expansion Rate Statistics #1: Price Filter Expansion
About 60% of e-commerce shoppers expand the price filter when browsing products. This makes it one of the most frequently used on-page filters in online retail. Shoppers often begin their filtering journey with price since budget strongly influences decision-making. Sites that display the price filter prominently tend to have higher engagement and lower bounce rates. The high expansion rate proves that cost transparency is a top priority for consumers.
On-page Filter Expansion Rate Statistics #2: Size Filter Expansion
Roughly 52% of users expand the size filter when shopping for fashion or apparel items. Size is critical in reducing friction during the purchase process because availability often dictates whether a shopper continues. If the size filter is hidden or collapsed, users are more likely to abandon the session. A visible and intuitive size filter improves product relevance and satisfaction. The data shows that size is one of the top three expanded filters in online fashion retail.
On-page Filter Expansion Rate Statistics #3: Color Filter Expansion
Around 35% of shoppers expand the color filter when browsing apparel, shoes, or home décor. Color is not as universally important as size or price, but it plays a strong role in style-driven purchases. Expanding this filter allows users to personalize their browsing journey and quickly find products that match their preferences. Sites that present color swatches instead of text links typically see higher engagement. The expansion rate suggests that visual design greatly influences user filter interactions.
On-page Filter Expansion Rate Statistics #4: Brand Filter Expansion
Approximately 40% of users expand the brand filter when shopping for electronics, fashion, or beauty products. Brand recognition strongly affects trust and loyalty in many categories. A well-designed brand filter helps customers shortcut the decision-making process by focusing on preferred labels. If hidden, shoppers often resort to search instead, reducing time spent on the category page. The expansion rate highlights the importance of brand value in user journeys.
On-page Filter Expansion Rate Statistics #5: Rating Filter Expansion
About 28% of shoppers expand filters related to product ratings and reviews. While not always the first filter expanded, ratings become crucial when buyers are narrowing down options. Expanding the ratings filter reflects trust in social proof and peer experiences. Websites with clear, visible rating filters often see improved conversion rates. This stat shows that credibility filters are a growing part of on-page navigation.
On-page Filter Expansion Rate Statistics #6: Availability Filter Expansion
Roughly 32% of shoppers expand availability or “in-stock only” filters. Shoppers value time savings and don’t want to view items that cannot be purchased immediately. Expanding this filter reduces frustration and abandonment by avoiding dead ends. Retailers who default to showing only in-stock items often achieve higher conversion. This expansion rate demonstrates how critical real-time stock visibility is for e-commerce.
On-page Filter Expansion Rate Statistics #7: Material Filter Expansion
Approximately 20% of users expand filters related to materials such as cotton, leather, or metal. This filter is especially common in fashion, furniture, and jewelry. Although not used by the majority, it appeals to more quality- and sustainability-conscious consumers. Expanding material filters reflects an interest in durability, comfort, or eco-friendly options. The expansion rate highlights its growing role in conscious shopping behavior.
On-page Filter Expansion Rate Statistics #8: Shipping Speed Filter Expansion
About 25% of shoppers expand filters for fast shipping or same-day delivery. This behavior is linked to the growing demand for instant gratification in e-commerce. Expanding the shipping speed filter often happens closer to checkout when urgency matters. Retailers offering these options visibly see improved click-through rates. The expansion rate emphasizes how convenience drives decision-making online.
On-page Filter Expansion Rate Statistics #9: Discount Filter Expansion
Roughly 38% of shoppers expand filters for discounts, promotions, or sale items. This expansion is more common during peak shopping seasons like Black Friday or holiday sales. It reflects consumer sensitivity to price drops and savings. Prominently displaying this filter can boost engagement and basket sizes. The expansion rate underlines how promotional visibility directly impacts shopper behavior.
On-page Filter Expansion Rate Statistics #10: Gender Filter Expansion
About 30% of fashion shoppers expand gender-based filters such as “Men,” “Women,” or “Unisex.” This filter quickly narrows the product set to relevant options. Expansion rates are higher on apparel sites with large inventories. Providing intuitive gender filtering reduces cognitive load and browsing time. The expansion rate confirms its role in streamlining fashion shopping experiences.
On-page Filter Expansion Rate Statistics #11: Season Filter Expansion
Approximately 15% of users expand seasonal filters like “Summer,” “Winter,” or “Holiday Collections.” Expansion rates are higher on fashion and home décor sites. Seasonal filtering is useful for trend-driven shoppers looking for time-specific products. While not a top filter, its expansion indicates demand for context-based shopping. The stat reflects how seasonality influences online buying behavior.
On-page Filter Expansion Rate Statistics #12: Seller Filter Expansion
About 18% of shoppers expand seller or marketplace filters such as “Sold by Amazon” or “Verified Retailer.” Expanding this filter reflects concerns about authenticity and trust in online platforms. Shoppers prefer reliable sellers, especially in categories like electronics and health products. Providing this filter visibly builds consumer confidence. The expansion rate demonstrates the value of trust-based filtering.
On-page Filter Expansion Rate Statistics #13: Location Filter Expansion
Roughly 22% of shoppers expand filters related to location or local availability. This is common for services, groceries, or furniture retailers with regional delivery limitations. Expanding this filter helps ensure that products can be accessed nearby. Retailers who emphasize local filters often see stronger loyalty. The expansion rate reveals how geography shapes consumer browsing patterns.
On-page Filter Expansion Rate Statistics #14: Sustainability Filter Expansion
Around 12% of users expand sustainability filters such as “eco-friendly” or “organic.” Expansion rates are lower overall but are growing among younger demographics. This reflects a rising demand for ethical and environmentally conscious shopping. Highlighting these filters prominently helps attract eco-conscious buyers. The expansion rate demonstrates an emerging trend that brands are beginning to leverage.
On-page Filter Expansion Rate Statistics #15: New Arrival Filter Expansion
About 26% of shoppers expand filters for “new arrivals” or “latest collections.” This behavior is strongest in fashion and electronics categories. Expanding this filter shows interest in trend-driven shopping. Brands with frequent product drops often benefit most from this filter. The expansion rate highlights the role of novelty in driving user engagement.
On-page Filter Expansion Rate Statistics #16: Best Seller Filter Expansion
Approximately 24% of shoppers expand filters that highlight “best sellers” or “most popular.” Expansion rates reflect the importance of social proof and popularity in shopping decisions. Shoppers often expand this filter to find products validated by others. Retailers use it to guide buyers toward higher-converting products. The expansion rate indicates how popularity drives consumer trust.
On-page Filter Expansion Rate Statistics #17: Feature-Specific Filter Expansion
Around 19% of users expand filters for product features such as “Waterproof,” “Wireless,” or “Slim Fit.” Expansion rates vary depending on product type. These filters help buyers identify must-have features without reading long descriptions. Providing clear feature-based filters reduces bounce rates. The expansion rate shows how specificity enhances the browsing experience.
On-page Filter Expansion Rate Statistics #18: Delivery Option Filter Expansion
About 23% of shoppers expand filters related to delivery options like “Click & Collect” or “Same-Day.” This expansion reflects a desire for flexible fulfillment. Retailers that make these options visible drive higher conversions, especially in urban areas. Shoppers expand this filter to ensure convenience before committing to purchase. The expansion rate shows how logistics increasingly influence e-commerce behavior.
On-page Filter Expansion Rate Statistics #19: Return Policy Filter Expansion
Approximately 16% of users expand return policy filters when they are available. This expansion reflects risk aversion and trust concerns before purchase. Shoppers expanding this filter tend to be more cautious buyers. Retailers that highlight easy return policies often see reduced cart abandonment. The expansion rate underscores how policies shape consumer confidence.
On-page Filter Expansion Rate Statistics #20: Custom Filter Expansion
Around 10% of shoppers expand custom filters specific to niche categories, such as “Vegan Ingredients” in beauty or “Smart Home Compatible” in electronics. Although less common, these filters are highly valuable for targeted audiences. Their expansion reflects the diversity of consumer preferences. Shoppers who use these filters tend to be more decisive and loyal. The expansion rate highlights the importance of customization in modern UX.
Why Filter Expansion Matters More Than You Think
At the end of the day, on-page filters aren’t just UI elements—they’re decision-making shortcuts that shape the customer experience. The fact that shoppers consistently expand certain filters, whether it’s for price, size, or even return policies, tells us what they value most when shopping online. For something as universal as socks or as high-consideration as electronics, these patterns highlight the psychology behind every click. As a brand or retailer, paying attention to these on-page filter expansion rate statistics means you’re not just designing for convenience—you’re designing for trust, speed, and confidence. And when you do that well, your customers are far more likely to stay, explore, and convert.
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