Optimize Search Accuracy with Magento 2 Change Search Query

Optimize Search Accuracy with Magento 2 Change Search Query

[Updated on April 02, 2025] Want to improve your online store's search performance? Magento 2 Change Search Query improves search accuracy by modifying & optimizing search terms. This solution allows store owners to edit queries, fix misspellings, and map synonyms.

This article will cover the benefits of the Magento 2 change search query method.

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Key Takeaways

  • AI, voice search, and Elasticsearch technologies that make searching easier for everyone.
  • AI-powered personalization, automatic error correction, voice search support, and smart redirection options.
  • 5 key reasons to use natural language and create conversational search strategies.
  • Insights into how changing search queries provide accurate and personalized search results.
  • 8 tips to always test search configurations in your specific environment.
  • The role of search queries in generating better search results and boosting conversions.

What is a Search Query in Magento 2?

A search query in Magento 2 is the keyword or phrase a shopper enters to find products.

Magento processes search queries using Elasticsearch. This search engine provides accurate results for all users. Store owners can manage search terms to:

  • Optimize product attributes, use custom ranking rules, and define filters. This approach helps them ensure the most relevant products appear first.
  • Redirect vague/non-specific search terms/queries to the most relevant categories/related products.
  • Add synonyms and define alternative terms or phrases for products. This flexibility ensures that diverse search inputs return the same relevant results.
  • Handle misspellings and correct/suggest alternatives for common typos/errors in search queries.

What is Magento 2 Change Search Query?

overview of the magento 2 change search query feature for optimized product search

Magento 2 change search query involves adjusting or optimizing search terms. It allows you to enhance accuracy and user experience.

Store owners can manage & refine search queries to ensure users find relevant products. They can do this through the Magento Admin Panel or by modifying the database.

Businesses can improve search accuracy, boost conversions, and analyze search trends. They can also optimize search performance for a flexible shopping experience.

5 Real-world Magento 2 Change Search Query Examples

Brand Search Query Example Explanation
Adidas Redirects "sneakers" to "running shoes" Adidas ensures users searching for "sneakers" also see relevant results for "running shoes". This approach improves product visibility & helps customers find what they need without confusion.
Samsung Corrects misspellings Samsung optimizes search by handling common typos like "Samgsung" or "Galxy". This process ensures users still land on the right product pages. It minimizes frustration and enhances the shopping experience.
Best Buy Creates seasonal search pages Best Buy creates custom search pages for seasonal campaigns. Examples include "Black Friday Deals" or "Holiday Gifts". Redirecting searches to curated collections helps you align with current promotions.
Apple Redirects search to current product models Apple redirects searches for older models (e.g., "iPhone 12") to the latest versions or relevant pages. It ensures customers always see updated options & reduces bounce rates from outdated queries.
Sony Generates interest with pre-order searches Sony uses search queries like "PS6 pre-order" to redirect users to teaser pages or sign-up forms. This process helps build anticipation and capture leads for upcoming product launches.

5 Key Reasons to Change a Search Query

1. Improve Search Accuracy and Relevance

Magento 2’s default search may not always return precise results. It is especially seen in cases where users enter broad or uncommon terms. Customers often use different product descriptions or common terms when searching. Modifying search queries ensures these terms map to actual product names. This approach helps users find what they need.

Optimizing search terms reduces bounce rates, keeps visitors engaged, & enhances the shopping experience.

Magento's Elasticsearch-powered search provides precise results for complex queries. The system can:

  • Map common terms to product names.
  • Understand search context.
  • Provide helpful recommendations.

2. Correct Misspelled or Incorrect Search Terms

correcting misspelled or incorrect search terms to improve search results in magento 2

Many users enter misspelled words while searching. You can map incorrect spellings to the right product names. This process prevents frustrating “No Results Found” messages & ensures a smoother shopping experience.

Elasticsearch handles:

  • Spelling variations
  • Typos
  • Alternative spellings

3. Redirect Search Queries to Relevant Pages

Some queries are better redirected to specific pages instead of displayed search results. For example, searching for “holiday deals” could lead to a seasonal promotions section. If a product is out of stock, the search can redirect to an alternative category or product page.

This process ensures customers always find relevant content without frustration. It helps users find what they need by directing searches to:

  • Seasonal promotion pages
  • Product categories
  • Alternative product options

4. Enhance SEO and User Experience

Optimizing search queries improves usability and boosts SEO rankings. They align search terms with user intent. Adding synonyms and keyword variations ensures queries match relevant product pages. This flexibility reduces unnecessary page exits and improves conversions.

A well-optimized search function enhances customer satisfaction, increasing the likelihood of completing purchases. Voice search uses smart speakers to support the following:

  • Voice-optimized keywords
  • Natural language queries
  • Personalized search experiences

5. Use Data Analytics for Search Optimization

utilizing data analytics for search optimization in magento 2 to improve query accuracy

Magento 2 provides a search terms report. This report helps store owners analyze popular search terms and conversion-driving queries. It allows admins to add synonyms, refine search mappings, & reduce misused user queries.

Continuous optimization based on real user behavior ensures an efficient & effective search experience. Use analytics to:

  • Track search term performance.
  • Find popular search queries.
  • Remove unnecessary search terms.

8 Best Practices for Magento 2 Change Search Query

Best Practice Explanation
1. Analyze Search Reports - Dive into search reports to understand customer behavior.
- Spot popular queries, terms driving conversions, and those returning no results.
- Use this data to tweak or add search terms, ensuring users always find what they need.
2. Use Synonyms for Better Accuracy - Users use different words for the same product. For instance, someone searching for "jogging shoes" should see results for "running shoes".
- Add synonyms in Magento’s settings to bridge these gaps and improve relevance.
3. Redirect Irrelevant Queries - Don’t let users hit a dead end with "No Results Found."
- Redirect misspelled or irrelevant searches (e.g., "Nike joggers") to relevant pages.
- Set these up in the Magento 2 Admin Panel for smooth navigation.
4. Optimize Search Queries for SEO - Align search-optimized URLs and metadata with high-traffic keywords.
- Avoid stuffing keywords, but ensure product descriptions match user intent.
- Long-tail keywords can further boost visibility and conversions.
5. Fix Misspellings and Variations - Add common typos and alternative spellings (e.g., "sneekers" should show "sneakers").
- Ensure customers find what they want with proactive adjustments.
6. Improve Search Speed - Use Elasticsearch or OpenSearch for faster results.
- If searches lag, reindex your data and optimize database queries to ensure a smooth UX.
7. Reduce Duplicate Terms - Combine the same terms to avoid redundancy & confusion (e.g., merge "laptop bags" with "bags for laptops").
- Keep your search terms clean and optimized for better results.
8. Test & Refine Search Changes - Test search queries to ensure they deliver the expected results.
- Use A/B testing to measure improvements and gather customer feedback.

Emerging Technologies Enhancing Magento 2 Change Search Query Functionality

Technology Description
AI-Driven Search Intelligence Use AI tools like "SearchGenius AI" for NLP, semantic search, and personalized rankings.
Voice and Visual Search Add voice functionality and visual search. These will help customers find products using speech or images for better accessibility.
AR-Enhanced Product Discovery Use AR to let customers visualize or try products in their space before purchasing.
Dynamic Search Personalization Adapt search results in real-time using machine learning. It will help match user behavior, preferences, and buying history.
Blockchain-Powered Secure Search Enhance transparency with blockchain-based indexing & secure processes like dynamic pricing through smart contracts.
Quantum Enhanced Search Capabilities Explore quantum-inspired algorithms for faster, more relevant search processing on classical systems.
Eco-Conscious Search Optimization Adopt green hosting solutions and energy-efficient algorithms. These options will help reduce the environmental impact of search operations.

FAQs

1. How does modifying search queries improve advanced search in Magento 2?

Adjusting search queries refines keywords & maps synonyms, enhancing accuracy & preventing irrelevant search results. Store owners can customize queries to reduce "No Results Found" messages. Optimized search queries also provide users with more relevant product suggestions.

2. How does MySQL search impact Magento 2 search query modification?

Magento 2 relies on MySQL search to process queries. Optimizing MySQL search indexes improves performance and result accuracy. Modifying search terms helps deliver precise and relevant product matches. Better search indexing also enhances user experience and store navigation.

3. What is the longest search query length in Magento 2?

The highest query length defines the longest search phrases. Store owners can adjust this setting in the database configuration. Longer query limits allow users to enter detailed search terms. This approach helps improve search relevance and accuracy.

4. What is the smallest search query length in Magento 2?

The smallest query length determines the shortest allowed search term. If set too high, brief searches may return no results. Adjusting this value helps capture short but relevant queries. It improves product discoverability and enhances user search experience.

5. What tools enhance Magento 2 search speed and accuracy?

Elasticsearch or OpenSearch in Magento boosts search speed and precision. These tools process queries faster and handle complex searches better than MySQL. Regular reindexing also keeps results up-to-date.

6. Why should businesses analyze Magento 2 search reports?

Search reports reveal popular queries, zero-result searches, and conversion-driving terms. This data helps refine search settings to match customer needs and improve conversions.

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Summary

Magento 2 Change Search Query feature helps shoppers find products using modern technologies. They help businesses:

  • Refine search results for better accuracy.
  • Correct misspellings and improve search rankings.
  • Direct searches to relevant pages.
  • Power search with advanced capabilities.
  • Keep users engaged with smart redirects.

Consider managed Magento hosting to enhance your store's performance with changed search queries.

[Updated on April 02, 2025]

Dikshya Shaw
Dikshya Shaw
Technical Writer

Dikshya leverages her content marketing and writing proficiency to deliver fresh, insightful content. Her meticulous research ensures industry expertise and emerging trends within the Magento landscape.


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