10 actionable tips to optimize your store’s product discovery using Boost Commerce

June 17, 2024

September 19, 2025

•

6 min read

Product discovery helps shoppers find and explore products on your website. An effective experience removes friction between search and purchase, increasing sales. As your store grows, ensuring the right shoppers see the right products differentiates browsing from buying.

Let's explore ten powerful ways you can optimize your online product discovery using Boost AI Search & Discovery to create a smoother shopping journey and achieve your sales goals.

Here's a summary of the tips we'll cover:

Tip 1: Understand customer behavior with actionable analytics.
Tip 2: Capture shopper intent with Semantic Search.
Tip 3: Automate rankings with product performance data.
Tip 4: Deliver 1:1 experiences with Personalized Search.
Tip 5: Control product visibility with Visual Merchandising.
Tip 6: Tailor your strategy with Merchandising by Market.
Tip 7: Increase AOV with AI-powered Product Bundles.
Tip 8: Validate your strategies with A/B Testing.
Tip 9: Create hyper-specific filters using Metaobjects.
Tip 10: Turn "No Results" pages into sales opportunities.

Tip #1: How can you better understand your customers' on-site behavior? Use Analytics

A data-driven strategy is a surefire way to succeed. To optimize discovery, you first need to understand how shoppers behave on your site. Shoppers who use site search are 1.8 times more likely to convert, making this data incredibly valuable

Boost's Analytics feature allows you to trace the search flow of your visitors from start to finish. The redesigned dashboard focuses on the metrics that matter most, with dedicated analytics for AI Search and AI Recommendations, so you can track the impact of each feature with precision.

“With the analytics, it can give you an idea of how much sales you did because of Boost, and you can compare to how much you pay and calculate your ROAS.” - Alexandre, CEO of Valerie Simon, an eCommerce store that boosted the click rate of search results to 11.35% with Boost Commerce.

For example, Collection Analytics shows which product attributes are most used, giving you the insight to move popular filters to the top of your filter tree and improve the user experience.

Want to know more about utilizing the Analytics feature?

Check out this article about Analytics in-depth

Tip #2: What is the best way to capture the true intent behind a shopper's search? Leverage Semantic search

Standard keyword search often fails to grasp what a shopper is truly looking for. Boost’s Semantic Search uses Natural Language Processing (NLP) to understand the context and intent behind a search query, not just the words themselves.

This means when a customer searches for "running shoes for summer," the search engine understands the concepts of "lightweight" and "breathable" and delivers more relevant results. This leap in technology reduces irrelevant search outcomes, decreases frustration, and makes the shopping journey more enjoyable and efficient.

Tip #3: How to automatically feature your bestsellers? Product performance ranking can help

Manually promoting your best products is time-consuming. Boost automates this with Product Performance Ranking, an AI-driven feature that optimizes your search results to elevate sales and profitability.

This tool leverages AI to analyze real-time performance metrics and automatically adjust product rankings.

Metric	Impact on Ranking
Conversion Rate	Products with a high percentage of purchases from searches are boosted significantly.
Add to Cart Rate	Products frequently added to the cart from searches receive a medium boost.
Click-Through Rate	Products with a high click rate from searches get a low-level boost to refine results.

This ensures your proven, high-converting products always get the visibility they deserve without any manual effort.

Tip #4: How do you deliver a personalized, 1:1 shopping experience?

Today’s shoppers expect a personalized experience. Boost's Personalized Search tailors search results for each shopper based on their unique on-site activities, including clicks, add-to-carts, and purchase history.

This AI-powered feature transforms browsing into a highly individualized journey, improving both satisfaction and engagement. By presenting products that are more likely to appeal to each specific customer, you can increase engagement and boost conversion rates.

Learn more: How AI Personalization Improves Product Discovery.

Tip #5: How to control product visibility to align with your sales goals? That’s Merchandising magic

Aligning product displays with your sales goals is critical. Boost’s Visual Merchandising tools give you the power to control how products appear on search and collection pages. You can create rules to arrange products based on your objectives strategically.

Pin up to 20 products to the top of a results page.
Boost items to push them higher in the rankings.
Display up to 4 banners on your search and collection pages.
Demote underperforming products to the bottom.
Hide items you don’t want to show for a specific search or collection.

These tools allow you to spotlight bestsellers, run promotions, and ensure shoppers see the right products at the right time.

Tip #6: How can you tailor merchandising for different international markets?

Selling internationally presents unique challenges. With Boost's Merchandising by Market, you can move beyond a one-size-fits-all approach and create unique merchandising rules for specific countries or B2B customer segments. This allows you to tailor product visibility and promotions based on local pricing and inventory, creating a relevant shopping experience that boosts conversions in every market.

For example, you can boost a collection of winter coats just for your Canadian shoppers or feature swimwear for customers in Australia, all from a single dashboard.

Tip #7: What's a quick and easy way to increase Average Order Value (AOV)? Let’s bundle

Encouraging larger purchases is a key growth lever. Boost's Predictive Bundles feature introduces AI-powered upselling and cross-selling directly into the product discovery journey. Boost is the first in the market to integrate bundles directly into the instant search dropdown, where high-intent shoppers are most active.

You can use AI Bundles to automatically group "Frequently Bought Together" items, or you can create manual bundles to promote strategic product combinations, complete with flexible discount options.

Great to know:

Tip #8: How to be data-driven in your decision-making? Stop guessing and start testing with A/B Tests

How can you be sure your merchandising strategies are working? With A/B Testing for Merchandising, you can stop guessing and let real shopper data guide your decision.

“Merchants know their products best, but their customers know what makes them click 'buy.' We built A/B testing to bridge that gap, turning merchant intuition into proven, revenue-generating strategies.” - Jamie Do, Product Manager at Boost Commerce.

This feature allows you to test variants of a merchandising rule side-by-side to see which one performs better. We'll split the traffic, track key metrics like conversion rates and revenue, and show you a clear winner, giving you concrete data to optimize your sales strategies.

Explore: How to A/B Test Your Merchandising and Get Valuable Insights to Grow Revenue.

Tip #9: How to create hyper-specific filters for complex product catalogs? Think of Metaobjects

For stores with complex catalogs, generic filters are not enough. Boost's Filtering by Metaobjects feature is a powerful new way to enhance product discovery by turning your own custom data into incredibly detailed filters. This allows you to create a truly unique and intuitive shopping journey for your customers. Imagine allowing customers to filter by:

Fabric composition for apparel
Artist for art prints
"Indoor" or "shade-loving" for plants

If you can store it in a metaobject, you can now use it as a filter, giving you full control over your store's data.

Tip #10: How to keep customers engaged and converted in case of 'No Results' page?

A "no results" page is a dead end that often causes shoppers to leave. Boost helps you turn these moments into new discovery opportunities. The "Did you mean" feature helps shoppers find what they want even when their search terms are misspelled. Additionally, you can customize the no-results page to suggest other alternatives, like Popular Searches and Trending Products, to create more chances for shoppers to stay engaged and make a purchase.

Don't let No Search Results ruin your customer's shopping experience!

Transform Your Storefront Today

By implementing these strategies, you can turn your storefront into an intelligent, personalized, and high-converting shopping destination. Each tip is designed to remove friction, build customer confidence, and ultimately drive more revenue by connecting shoppers with the products they will love.

Ready to see how powerful your product discovery can be? Explore the features of Boost AI Search & Discovery and start turning more of your browsers into buyers.

Frequently Asked Questions (FAQ)

Q1: How can I test which of my merchandising rules are most effective at increasing revenue?

You can use Boost's A/B Testing for Merchandising feature to test different rule variants against each other. This allows you to experiment with various strategies, such as boosting different products or changing their order, and track key metrics like conversion rate and revenue to determine a clear winner based on real customer data.

Q2: My store sells to both retail customers and wholesale B2B clients. Can I show them different product rankings?

Yes. With Merchandising by Market, you can create rules that apply only to your B2B customers, separate from your retail strategy. This allows you to merchandise based on wholesale catalogs and pricing, ensuring each customer segment sees the right products at the right price.

Q3: How does Boost's search handle long, conversational search queries from customers?

Boost's Semantic Search is designed to handle these queries perfectly. It uses Natural Language Processing (NLP) to understand the user's intent and the context of the query, not just the individual keywords. This ensures that when a shopper types a phrase like "women's white sneaker for climbing under $50," the search engine delivers highly accurate and relevant results.

Ellie Ho

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Content Marketing Specialist

September 19, 2025

•

6 min read

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10 actionable tips to optimize your store’s product discovery using Boost Commerce

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