Stop Losing Customers at Your Search Bar—5 Quick Wins to Boost Conversions
Miva, Inc.
Empowering online sellers to boost revenue, streamline sales, and reduce operational costs with cutting-edge e-commerce
Here’s a hard truth: for every 10 customers who add items to their cart, roughly 7 will leave without completing the purchase. That’s over half of your potential customers gone in seconds. One silent conversion killer that doesn't get talked about enough is poor search functionality.
Poor search experiences are silently draining your revenue—and for enterprise ecommerce, this can mean tens of thousands of dollars lost daily.
The good news is that?you can fix this.?Let’s examine the challenge, why it matters, and actionable steps to turn your search bar into a conversion-driving machine.
The Challenge: Lost Opportunities Due to Poor Search Experiences
Shoppers are impatient. They expect search to be as intuitive and fast as the likes of Amazon or Google. When search results are irrelevant, incomplete, or nonexistent, they leave. And when they leave, they don’t come back.
This problem is amplified for enterprise businesses managing large catalogs. With thousands of SKUs and variations, search functionality can easily fall short, especially without the right tools.
Why Addressing Search Optimization is Critical
A well-optimized internal search doesn’t just help customers find what they want faster—it actively increases sales:
Quick Wins to Optimize Your Search
Create Intuitive Filters That Match Shopper Needs
Filters are among the most overlooked aspects of site search, but they’re also among the most critical. Shoppers need filters that speak their language and help them quickly narrow down options.
Let's say a shopper is searching for “laptops.” Without filters, they’re overwhelmed by hundreds of results. But with intuitive filters for screen size, price range, and brand, they can instantly zero in on the perfect match.
In the Miva ecommerce platform, for example, you can tailor filters to match your catalog’s specific attributes. A fashion retailer could create filters for size, color, and material. An electronics retailer could create filters for compatibility (e.g., “Works with iPhone 14”) or technical specs (e.g., “RAM: 16GB”).
Implement Predictive Autocomplete
Predictive autocomplete saves your site visitors a lot of time and makes the experience feel seamless and intuitive. Shoppers are more likely to engage with a site when they see relevant suggestions appear as they type.
Here's what that could look like: A shopper looking for “blue running shoes” starts typing “blu…” Your search bar instantly suggests “Blue Running Shoes,” “Blue Sneakers,” and “Blue Trail Runners.” This eliminates the guesswork and guides the shopper directly to the product.
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With Miva, you can set up autocomplete to prioritize high-demand products. For example, if “blue shoes” is a top seller, it can appear higher in the suggestion list, even before typing is complete.
3. Eliminate Zero-Result Searches
A zero-result search is a dead end—and shoppers leave when they hit one. Instead, redirect them to related items, popular categories, or even an engaging “We didn’t find what you were looking for” page.
If a customer is searching for “red winter boots,” why not show a message like: “We don’t have ‘red winter boots,’ but check out these similar styles!” And below, they can see a curated list of “Top-Rated Winter Boots” or “Red Footwear.”
Miva, for example, allows fallback rules to automatically display related products or redirect to relevant categories. For instance, if “red sneakers” yield no results, shoppers can automatically be redirected to the “Sneakers” category.
4. Optimize for Mobile Search
In 2024, smartphones accounted for nearly 80% of all retail website visits worldwide. If you're seeing lackluster conversion rates on mobile, pay attention to the user experience. A clunky mobile search experience can turn eager shoppers away.
Here's a scenario: A shopper on their phone searches for “birthday gifts.” On a poorly optimized site, they might struggle to use filters, encounter slow-loading images, or have to zoom in to navigate the page. On a well-optimized site, they’re met with Easy-to-tap filters (e.g., “Price Range” or “For Him/Her”), high-quality, fast-loading images, and a clean, uncluttered layout.
Here's a pro tip: Test your search usability on multiple devices. Adjust layouts to prioritize tappable filters and fast-loading images, especially for key queries.
5. Track and Adjust Using Search Analytics
Your search bar also holds valuable data about what your customers want. By analyzing search queries, you can spot trends, optimize tagging, and even identify gaps in your inventory.
Say a retailer noticed frequent searches for “vegan leather bags” but had no matching products. By adding a relevant collection and tagging items with synonyms like “faux leather,” they increased conversions for those searches within a month.
Key Takeaway: Your Search Bar is a Sales Engine
Here’s the bottom line: search isn’t a “nice-to-have.” It’s one of the highest-leverage tools in your ecommerce arsenal. When done right, it drives conversions, increases AOV, and keeps customers coming back. But when done poorly? The data speaks for itself—shoppers leave, carts stay empty, and revenue takes a hit.
The good news? Optimizing your search isn’t rocket science. You don’t need a six-month roadmap. You need actionable changes:
Search optimization is your shortcut to better sales outcomes. Don’t wait. Start applying these quick wins today, and if you’re ready to see what a platform with advanced search capabilities can do for you, talk to us; we're here to help.