How Kesko Senukai Digital boosted search conversion by 22,9 - 69,3 % with LupaSearch

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The results
In just five months, Kesko Senukai Digital saw measurable gains:
22,9 - 69,3 %
Search conversion
growth
33,5 %
Revenue per session
growth
500 K
active SKUs ranked, filtered, and searchable with precision
Who is our client?
Kesko Senukai Digital is the digital backbone of the Baltics, running one of the region’s most advanced eCommerce platforms. Their product catalog spans everything from construction materials and electronics to everyday essentials. With innovation at the core of their strategy, Kesko Senukai Digital has become the go-to online destination for millions of shoppers across Lithuania and beyond.
About integration
Industry
Retail in the home improvement and DIY sector
Monthly traffic
7M visits
Platform
Custom
A/B test for 5 months
Nosto
Migration from
Nosto
6 Domains
1a.lt
1a.lv
1a.ee
senukai.lt
ksenukai.lv
k-rauta.ee
Key challenges
Multilingual complexity
Multilingual complexity: Estonian compounds, plurals, and subtle nuances often led to missed results.
Search usability drop-off
Especially on mobile, where speed and relevance were falling short.
Broad search terms
Popular brand queries like “Samsung” or “Bosch” needed smart subcategory suggestions and accurate filtering.
Seasonal and trend sensitivity
Customers expected timely results, like summer tires in April, not winter ones.
Zero-result queries
Required smarter handling with AI-driven synonym matching and better query
understanding.
Personalization
Needed to reflect real user behavior (e.g., an Apple fan searching "phones" shouldn't see Nokia first).
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Solution

LupaSearch and Kesko Senukai Digital took a collaborative, agile approach to solve these issues. Key initiatives included:

AI-powered synonym engine & long-query understanding
Leveraging OpenAI to reduce zero-result searches and interpret complex queries.
AI-powered synonym engine and long-query understanding in LupaSearch ecommerce site search, reducing zero-result searches
Manual keyword testing
Focused improvements on high-traffic queries ensured control during the A/B phase.
Sales-data-based ranking
Prioritized in-demand, high-performing products without relying solely on passive AI learning.
Estonian language fine-tuning for LupaSearch ecommerce site search, handling compound words and plural-singular variations
Estonian language fine-tuning
Tailored the engine to handle compound words and plural/singular variations.
Estonian language fine-tuning for LupaSearch ecommerce site search, handling compound words and plural-singular variations
Intelligent subcategory filters
For generic terms like “Bosch,” search now smartly surfaces drills, kettles, dishwashers, etc.
Intelligent subcategory filters in LupaSearch ecommerce site search, showing relevant categories for generic queries like “Bosch”
Accessory vs. primary product distinction
Core items displayed first, accessories shown below.
Fast loading times
Especially improved for mobile users, boosting engagement and satisfaction.
ITrend detection and exception handling in LupaSearch ecommerce search, prioritizing Stanley bottles and thermoses over tools based on demand
Trend detection and exception handling
For example, “Stanley bottles” were prioritized over tools, reflecting current demand patterns.
ITrend detection and exception handling in LupaSearch ecommerce search, prioritizing Stanley bottles and thermoses over tools based on demand
Search UX compliance
Legal display requirements (e.g., VVTAT) were embedded directly into the search interface.
We saw LupaSearch evolve into a truly powerful tool—not just a plug-and-play engine, but a real partner. From handling Estonian linguistic nuances to delivering real-time seasonal relevancy and trend insights, the platform adapted quickly. The admin interface, performance, and intelligent ranking logic made a clear impact on both our business KPIs and the customer experience.
Jaunius Danielius
Head of Sales, Kesko Senukai Digital
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