10 Regular Maintenance Tips for Magento Smile Elasticsuite
Want to boost your store’s search performance? Magento Smile Elasticsuite is a powerful search engine and merchandising tool. It is made for online stores and powered by Elasticsearch to boost search speed and accuracy.
This article will cover how the search tool can increase your store's conversions.
Key Takeaways
-
What are the aspects of the search tool that are elastic for e-commerce?
-
Boost search speed and accuracy with features built for ecommerce.
-
See how the framework outperforms other search extensions.
-
Improve SEO and organic traffic with optimized queries.
-
Keep query performance strong with regular maintenance tips.
-
Choose a query tool that boosts conversions and satisfaction.
What is Magento Smile Elasticsuite?
Magento Smile Elasticsuite is a powerful, open-source search and merchandising solution. It changes how customers discover products in online stores.
Magento Smile Elasticsuite is an open-source module for online stores. This suite for Magento boosts search engine speed. It helps buyers find products quickly. The elastic toolset is highly suitable and customizable. It allows sellers to adjust filters and promote specific groups. This tool is popular among e-commerce stores for improving user experience.
8 Key Features of Smile Elastic Suite for Magento 2
1. Enhanced Search Capabilities
Built on a search database, the Elasticsearch offers fast, accurate queries. It supports autocomplete results and real-time indexing, so updates show instantly. For example, in a large list of electronics, a query for “smartphone” instantly shows products. It also shows related groups and CMS pages like “Best Smartphones.”
This lets buyers find products and related content. This setup helps customers find products quickly, creating a better shopping experience.
2. Enriched Layered Navigation Filters
Layered navigation lets buyers refine queries. It includes Magneto attributes like category, price, or color. For example, in a fashion store, buyers can sort dresses by size, color, or style. Someone searching for “black evening dresses” can use Sort to narrow down options.
It makes shopping easier and boosts sales. These are easy-to-find exact products in large lists. This speeds up queries and makes shopping simpler.
3. Rule-Based Selling
The toolset allows you to create selling rules. It boosts specific products for certain query terms. For example, a retailer could set a rule to promote “winter coats.” It can be located when buyers look for “winter clothing.”
This based on rules approach increases visibility for seasonal products, helping boost sales. By setting parameters around keywords, stores can promote key items.
4. Customizable Autocomplete Suggestions
The autocomplete feature shows suggestions by client type. It includes product names, groups, and prices. This configuration option makes it easier to find items quickly. For example, a bookstore uses autocomplete to suggest popular titles or CMS pages. It can be used for different genres like “mystery” or “sci-fi” as clients type.
This helps buyers find items faster, improving engagement. Sellers can adjust the completion of Magento's back-office panel to fit popular queries.
5. Real-Time Indexing
The framework module includes real-time listing. It contains updates like restocks or price changes that show up instantly in the query. This keeps the list accurate, showing buyers what’s in stock.
For example, when a sneaker store restocks a popular shoe. Real-time listing shows it as available right away. This feature is ideal for high-demand items, building trust with accurate stock levels.
6. Compatibility with Hyvä and Custom Themes
The toolset works well with Hyvä and other frontend themes. It maintains compatibility with a store’s default look. For example, a luxury store with a unique theme can use a framework. It can be used without changing its branding.
The query and guidance features align with the store’s design. This allows stores to keep their special designs while using advanced query functions.
7. Advanced Analytics and Reporting
The toolset provides analytics and reporting to track query trends. It includes popular queries and low-visibility products. These insights help stores adjust inventory and promotions to meet buyers' demands. For example, a home goods store could see a high demand for eco-friendly items.
This can be seen from the search result page data. It lets the retailer adjust stock and highlight these products, boosting sales.
8. SEO Optimization
Elastic boosts SEO with optimized result pages and long-tail keywords. Tailored results bring in organic traffic and increase conversions. This SEO support helps stores reach niche audiences. For example, a pet store might rank higher for queries. It includes queries like “organic dog treats for small breeds."
It helps to reach specific buyers and improve sales. The SEO-friendly setup boosts engagement and conversions.
Magento Smile Elasticsuite vs. Other Search Extensions
Aspect | Smile Elasticsuite | Algolia Search | Klevu Search |
---|---|---|---|
Search Speed and Performance | High speed with real-time listing. It can be optimized for large lists and high traffic. | Extremely fast on Algolia's cloud. It is built for high-traffic and large-scale stores. | Fast AI-driven results. It performs well with large catalogs and peak traffic. |
Filtering and Merchandising | Advanced layered sorts and customizable selling rules. It allows precise control over product page placement. | Strong sorting options and selling are basic. It is managed through Algolia’s dashboard. | Dynamic sorts with some merchandising. The framework for special setup is more flexible. |
Customization | Extensive and includes flexible rules, layered sorts, and rule-based merchandising. | Moderate and support sorts, synonyms, and tuning. It limits selling. | Moderate to allow adjustments and some preset selling options by Klevu. |
SEO Support | Strongly optimized for long-tail keywords and result page layout. It helps to boost organic traffic. | Basic SEO support. The main focus is on speed, with limited SEO options. | Moderate AI-driven keyword suggestions but limited long-tail keyword support. |
Open-Source | Fully open source and supported by community contributions on GitHub and Magento Stack Exchange. | Closed-source SaaS model. It is proprietary and supported by Algolia’s team. | Closed-source subscription. It supports the provision of Klevu’s buyer's service and limited community involvement. |
Cost | Free of cost and has community updates with no licensing fees. | Subscription-based cost. Higher cost, especially for large lists, due to high-speed SaaS features. | Subscription-based affordable cost for basic features. The premium options may increase the total price. |
SEO Advantages of Smile Search Tool for E-commerce
1. Long-Tail Keyword Support
The toolset supports long-tail keyword optimization. It allows online stores to rank for specific, targeted queries. This feature captures high-intent traffic and boosts the conversion potential of query pages.
2. Optimized Search Result Pages
The result page layout in the framework can be customized to improve SEO. It is controlled by sort order and product display based on performance. This setup helps reduce bounce rates and increases engagement, enhancing on-site SEO.
3. Relevance and User Intent Matching
With rule-based selling, the platform aligns query outcomes with buyers' intent. This feature allows a list of relevant products for specific query terms. It improves dwell time and supports SEO.
4. Enhanced Site Guidance and Structure
The platform’s advanced layered sorts let buyers refine queries. It is done by locating groups, prices, and specific attributes. This structured setup makes it easier for query tools to crawl and list pages. It benefits the SEO services.
5. Faster Search Performance and Real-Time Listing
Integrated with a query database, the platform provides high-speed and real-time listing. This setup enables quick content updates. It keeps the version of the toolset current with fresh and accurate content.
6. Support for Multi-Language and Multi-Store Configurations
The framework works well with multi-language and multi-store setups. It allows online stores to optimize query outcomes per store and region. This feature improves local SEO and boosts visibility in targeted markets.
7. Insightful Analytics for SEO Strategy
The framework provides insights on popular and missed queries, along with buyers' behavior. These analytics help store owners set up query terms in line with buyer interests. They are directly supporting SEO by identifying high-demand keywords and trends.
10 Regular Maintenance Tips for Smile Elasticsuite Users
-
Monitor and Update Connection: Regularly check the query database connection. Navigate it in Stores > Configuration > Smile Elasticsuite to ensure it stays stable. Update host or port settings if the server changes. Verify the connection to avoid query interruptions.
-
Run Full Relisting Periodically: While the platform real-time listing. Run a full reindex after major catalog updates to ensure data accuracy. It keeps query outcomes precise.
-
Clear Cache Regularly: Clear the cache to remove outdated data. It could affect the framework’s speed. Use
php bin/magento cache:clean
to maintain fast performance. -
Review and Optimize Settings: Review completion and Layered settings regularly. It should match buyers' query patterns. Adjust settings based on popular query terms and key product entities.
-
Update Rule-Based Selling: To keep the relevant products visible in query outcomes. Adjust rules for seasonal items, sales data, or trends for high-priority products.
-
Analyze Data and Optimize SEO Settings: Use Elasticsuite’s analytics to track queries. Update keywords, adjust selling rules, and refine SEO for result pages. It helps to improve organic traffic.
-
Test Performance After Updates: After any Magento or Elasticsuite upgrade, test features. It includes completion and sorts to ensure they work smoothly. This helps you find and fix issues from updates.
-
Backup Setup Settings: Before making major changes or updates, back up framework setups. This backup allows you to restore previous settings if needed.
-
Check for Version Upgrades and Patches: Regularly check updates on Packagist. New versions include improvements and bug fixes. Test updates in a staging environment before applying them live.
-
Adjust Multi-Store and Multi-Language Settings: Review framework settings per store to meet preferences. Regular updates keep query outcomes relevant across all markets.
Why Choose Smile Elasticsuite Over Other Search Tools?
Magento Smile Elasticsuite offers a flexible and open-source query tool and display solution. It allows full customization without licensing fees. Integrated with component structure, it provides various features. It includes rule-based selling and real-time listing to keep query outcomes up-to-date. Enhanced completion and sorting options make it simple for buyers to find what they need.
Additionally, the platform supports multi-language and multi-store setups. It lets stores offer region-specific query outcomes for diverse audiences. This powerful, cost-effective tool stands out among query solutions. It also provides advanced main features and boosts customer engagement. It is an award-winning tool and was awarded by Magento.
FAQs
1. How do I install the Smile toolset using Composer in Magento2?
To install Elasticsuite, run composer require smile/elasticsuite
in your setup. This command starts the installation. Follow the steps in the documentation to complete the process. After installation, remember to enable the module for full integration.
2. What are the key features of the Smile tool for enhancing queries?
Elasticsuite has many key features. These include advanced completion, virtual groups, and a store locator. Real-time listing in the query tool keeps results accurate and fresh. These features help customers find what they need quickly.
3. Is Elasticsuite compatible with Magento EE and other editions?
The framework is compatible with Enterprise Edition and other versions. Since the project is based on Magento standards, it integrates easily. This ensures strong support for buyers and advanced features for larger stores.
4. How do I configure the Elasticsearch settings in Elasticsuite?
To configure the search database, go to the Magento admin panel. It connects your query tools. Here, you can set up completion to refine query outcomes and manage the store locator. Proper settings help provide faster, more accurate results.
5. Can I upgrade Elasticsuite for Magento 2.1.x?
Smile search tool supports updates for Magento 2.1.x. Before you update, check the readme file in the documentation for specific steps. Also, ensure all dependencies are updated for smooth operation.
6. How do virtual categories work in Smile Elasticsuite?
Virtual categories let you create custom product groups without changing your actual catalog. This feature helps improve front-office guidance. It shows relevant products under specific query terms. It makes it easier for users to find what they are looking for.
Summary
Magento Smile Elasticsuite is a strong open-source search solution made for online stores. Whether you are using versions from 2010-2014 or 2015-2016. The framework fits your needs and can define your query strategy.
Consider the following features:
-
Enhanced Research Capabilities to provide fast and accurate queries.
-
Rule-based selling to promote products and key items based on UI components.
-
Real-time listing keeps entity manager tracking changes easily.
-
SEO Optimization improves query relevance to avoid null results.
Explore managed Magento hosting with Smile Elasticsuite for a better search experience.