On-site search is the internal search engine of an eCommerce store that enables customers to instantly find products using keywords, styles, brands, materials, or product specifications.

In Home & Deco eCommerce, shoppers rarely browse aimlessly. They search with intent — whether for a specific brand, a design style (e.g., “minimal wall lamp”), a material (“solid oak table”), or exact product dimensions.

Because of this behavior, on-site search performance directly impacts:

• Conversion rate

• Average order value (AOV)

• Time to purchase

• Customer satisfaction

• Revenue growth

When search understands style-based queries, synonyms, product attributes, and long-tail keywords, it reduces friction and accelerates decision-making.

For Home & Deco brands, optimized search is not just a navigation tool.
It is a core performance channel and a measurable revenue driver.

Findbar upgraded Spitishop’s on-site search with AI-powered relevance, advanced typo tolerance, semantic understanding, and dynamic product ranking.

Home & Deco shoppers often search using style terms, materials, or detailed specifications. Findbar enabled Spitishop’s search engine to accurately interpret queries such as:

• Style-based searches (e.g., “minimal floor lamp”)

• Material-focused queries (e.g., “solid wood coffee table”)

• Long-tail and descriptive keywords

• Misspellings and mixed-language searches

By improving intent recognition and real-time ranking logic, Findbar significantly enhanced product discovery and reduced search friction.

The result:

• Higher engagement from search users

• Faster time-to-product discovery

• Increased conversion rate

• Stronger revenue contribution from search traffic

For Spitishop, search evolved from a basic functionality into a measurable growth driver.

AI search understands user intent (even with misspellings or Greeklish queries), prioritizes high-converting products, and reduces zero-result searches. When customers find what they are looking for faster, conversion rates increase significantly.

Search Revenue Contribution (SRC) measures the percentage of total online revenue generated from users who interact with the search bar. In many pharmacy eCommerce businesses, search users convert at a much higher rate than non-search users.

In the Home & Deco category, customers rarely browse randomly. They come with clear intent and use search as their primary navigation tool.

Home & Deco shoppers typically:

• Search for specific brands or collections

• Look for style-based inspiration (e.g. “minimal lamp”, “boho cushions”)

• Use exact product names or SKUs

• Compare materials, dimensions, and specifications

• Refine by color, texture, or room type

Unlike fashion impulse browsing, Home & Deco purchases are often intent-driven and detail-oriented. Customers want precision, compatibility, and clarity before purchasing.

Because of this behavior, on-site search becomes a critical revenue driver.
If search fails to understand intent, style keywords, or product attributes, friction increases — and conversions drop.

Optimized search:

• Reduces time-to-product discovery

• Improves engagement with high-intent users

• Increases conversion rate and AOV

For Home & Deco eCommerce, search is not a feature.
It’s a growth engine.

Yes. Findbar is optimized for Greek language queries, Greeklish searches, and transliteration patterns — which are extremely common in Greek pharmacy eCommerce.

Implementation is typically fast and lightweight, requiring minimal technical effort. Most online Home eshops can activate Findbar quickly without disrupting their existing eCommerce platform.

Yes. When users immediately find relevant products, bounce rates decrease and session duration increases. This improves both user experience and revenue performance.

Unlike basic search tools, Findbar:

• Uses AI for intent understanding

• Optimizes product ranking based on performance

• Supports Greek & multilingual environments

• Provides measurable business KPIs (SRC, SMI, Search CVR)

Yes. Whether a pharmacy has a few thousand SKUs or a large product catalog, AI-powered search scales efficiently and drives measurable growth.