Beeking3 Ways to Immediately Improve Results (No Extra Cost)
Before you decide on external tools, check these settings in your Shoper panel. Often, small changes can bring noticeable improvement.
Open Settings > Product management > Search settings in Shoper. Check whether fields containing important product attributes are searched. Repeat the same queries after changes.
Complete accurate product names and attributes. When customers use other terms, review synonyms and test their effect on specific results.
Regularly check in Google Analytics or Shoper panel what customers are looking for and not finding. If you see a recurring term, add it to the keywords of relevant products.
Default Shoper Search – Operation, Configuration, and Features
The default search engine in Shoper is based on keyword matching. This means that query analysis involves searching for entered character strings in the product database – e.g., in names, codes, or product descriptions. Search is active from the first character typed, offering an autocomplete function.
The store administrator can configure the search scope: decide which fields to search (e.g., product name, code, short/long description, manufacturer, category, attributes) and set weights (priorities) for these fields. Appropriate weight settings determine the order of results – usually, product name or code are scored highest.
Suggestions While Typing
While typing a search term, Shoper displays dynamic suggestions. These can be suggested phrases or directly products or categories matching the typed letters. The admin panel allows setting the maximum number of displayed suggestions.
Filtering and Personalization
Check the settings available in your store. Shoper documents attribute and variant search, exclusions and one-way and two-way synonyms. Results depend on product data and configuration.
- MARVIS EARL GREY TEApasta do zębów · 75 ml
- MARVIS SINUOUS LILYpasta do zębów · 75 ml
“marwis” finds Marvis products. Customers do not need to know the exact spelling.
Recreated from the csk-med.pl case study. Select a scenario to explore another match.
How to Correctly Configure Search?
To get better results in standard Shoper search, follow these steps in the admin panel:
- Search for a product by exact name and code.
- Verify visibility, availability and searchable fields.
- Review synonyms and exclusions in search settings.
- Record the expected result for important customer queries.
- Repeat the same test set after each change.
Remember though: All this is work that doesn't directly translate to creating or acquiring product, but is necessary for customers to find that product. It requires constant engagement and time.
Common Problems and Limitations of Built-in Search
Despite improvements over the years, the default Shoper search engine (especially in the basic version) has certain limitations that can make it difficult for customers to find products.
Typos and spelling variations
Check which errors actually produce poor results in your store. Behavior depends on the query, catalog and configuration.
Different names for one product
Review synonyms in Shoper. Before adding more, verify that they do not introduce irrelevant products.
Matching too broadly
A shared word does not guarantee relevance. Assess result order for a specific customer need.
Maintaining configuration
Retest common queries after catalog changes. Reliable results require current product data.
Benefits of Effective Search
Higher Conversion
Relevant results shorten the path to a product. Check whether more searches lead to a click.
Fewer Bounces
Clear availability messages and useful alternatives can help customers continue shopping.
Higher Purchase Chance
Readable mobile results and natural-language queries help customers navigate the catalog.
Higher Basket
Related products can help customers discover your range. Order-value impact requires transaction tracking.
Beeking AI Search – Intelligent Alternative
One solution that addresses the challenges of default Shoper search is Beeking AI Search – an external search engine based on artificial intelligence.
🧠Intent Understanding (Semantics)
Beeking AI understands customer intent expressed in natural language. It analyzes the meaning of the entire phrase, not just individual words. It acts like a salesperson in a brick-and-mortar store.
⚡Full Automation
Beeking matches queries against the synchronized catalog. Test important phrases after setup; product descriptions and attributes still matter.
✨Error Tolerance
The “marwis” example in the csk-med case study finds Marvis products. Test similar errors against your own catalog.
🔌Simple Integration
Integration boils down to installing the application. It doesn't require changes to the store code. Index update happens automatically.
Comparison
Check configuration first. Shoper documents attribute and variant search, plus one-way and two-way synonyms. Compare tools using the same queries and catalog after configuring both solutions. Shoper documentation.
- An existing product cannot be found even by code
- Check product visibility, catalog data, the active module and synchronization status.
- The name works but an everyday description does not
- Check searchable fields and synonyms. Record the expected product and the actual result.
- The query names a brand outside your catalog
- Separate an assortment gap from a matching error. Evaluate alternatives and label them clearly.
- Results appear but customers do not click
- Review the relevance of the first products, price, availability and mobile presentation.
Save a query set before changes, change one element at a time and repeat the test on desktop and mobile. The csk-med examples demonstrate matching, not a guaranteed sales increase. Case study csk-med.
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