In the race to build smarter, more intuitive shopping experiences, many ecommerce businesses have grown increasingly reliant on user behavior and clickstream signals to power their search engines. And it makes sense; real-time behavioral data offers valuable insights into what users are interested in. But behavior alone isn’t enough.

In fact, over-reliance on behavioral data without a foundation of strong search relevance often leads to a frustrating shopper experience - one that delivers popularity over precision and context. Shoppers don’t just want what everyone else clicked on. They want what’s relevant to them.

Why search relevance remains foundational to solving ecommerce search?

Simply put, relevance is instant; behavior takes time.

Clickstream data depends on historical behavior — what users previously clicked, bought, or lingered on. But what about new users? Or existing users exploring a completely different category?

• A shopper typing “office chair for lower back pain” needs accurate, contextually matched results instantly - not products others clicked on when searching for “gaming chair”.

• First-time visitors have no behavior trail, yet still expect intelligent results.

Real-time relevance beats recency bias

New products, niche categories, or long-tail queries can’t wait for clicks.

Clickstream-driven models often suffer from the cold start problem. A newly launched product, no matter how relevant, stays buried if it lacks interaction history.

Netcore Unbxd’s relevance engine uses semantic parsing, query intent analysis, and attribute-level enrichment to surface new or zero-click products intelligently — bridging gaps that behavior-only models can’t.

Relevance doesn’t need history; but behavior does.

First-time visitor? Anonymous user? Private mode?

Clickstream models fall flat when they have no behavioral data to rely on. But users still expect a great experience from their very first search.

Netcore Unbxd ensures high-quality results for all users - with or without a browsing history - using advanced query understanding and real-time ranking, ensuring relevance is always delivered, not just when the system "knows" the user.

Queries carry intent — not just data

When a shopper types: “Formal leather shoes size 10 for wide feet,” they’re giving you a structured intent: category + material + size + fit. This is gold.

Clickstream models can’t parse that nuance unless relevance-first systems process it correctly. Netcore Unbxd captures and interprets this language in real time to map it to enriched product attributes, helping shoppers get exactly what they meant, not just what others clicked.

Personalization needs a relevant starting point

Yes, Netcore Unbxd offers deep personalization powered by user signals, but even the best personalization strategy will underdeliver if the underlying search isn’t relevant. Our AI combines both:

• A robust relevance engine that interprets each query
• Plus real-time personalization layered on top of it

That means users don’t just see what’s trending or what’s similar — they see what’s relevant to them in the moment, shaped by context and meaning.

Relevance is the bedrock. Clicks are the amplifier.

At Netcore Unbxd, we’ve built our search platform on a relevance-first foundation, combining the precision of natural language understanding with the agility of AI-driven ranking. Our platform doesn’t just react to user behavior; it interprets intent in real time, enriches product data at scale, and surfaces results that align with what shoppers actually mean, not just what others clicked.

Whether it’s a first-time visitor with no browsing history or a nuanced, multi-attribute query, Netcore Unbxd ensures that relevance leads the way with behavioral signals enriching the experience, not overpowering it. This hybrid approach leads to faster product discovery, higher conversion rates, and more confident shoppers across every touchpoint.

With the introduction of our AI-powered Shopping Agent, we’re redefining how shoppers interact with ecommerce search. Our AI doesn’t just match keywords; it engages in natural, context-aware conversations, understands nuanced needs, and guides users toward the right products, just like an in-store expert. By combining deep relevance with conversational AI,

Netcore Unbxd always ensures that shoppers find what they’re looking for - faster, smarter, and with confidence.

See how relevance-first discovery drives revenue and retention. Request a demo