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Personalize Across More Channels

On-site Search

Personalization 

Present shoppers with facets relevant to their search query or category page they are browsing

Dynamic filters

Search autosuggest

Display intelligent suggestions to your shoppers based on their search behavior and your catalog for seamless shopping experience

Provide a unique shopping experience to each shopper during search and navigation

In-session Personalization

Understand shopper goals in the context of the current session and show relevant products, even for first time visitors

1:1 Personalization

Personalize  the search and discovery experience for each shopper in real-time

Email 

Personalization 

 Predict the likelihood of your audience to engage, convert or even churn and take the requisite action

Predictive Analytics

Subject Line Generation

Optimize email open rates by utilizing personalized and attention-grabbing subject lines generated by AI

Provide a unique shopping experience to each shopper during search and navigation

Send Time Optimization

AI-powered automation and optimization that ensures emails are delivered at the time of maximum engagement

Interactive AMP Emails


Create captivating emails that are tailored to your customer's behavior, preferences, and stage of their journey

Scale at speeds

Send confidently to a single user or millions at a time with AI-powered inbox delivery

Ditch the one-size-fits-all approach! Elevate your website by offering customers an exclusive, personalized experience that they won't forget

Product recommendations

Content personalization

Tailor static content on banners, content cards and more based on demographics, location, device, and more 

Boutiques

Create landing pages that are unique to each shopper’s behavior and preferences 

Website 

Personalization 

Personalize product recommendations based on behavior and category affinity for first-time visitors and returning shoppers

Engage shoppers with web or browser push notifications customized to their stage in the customer journey

Web push notifications

Mobile App

Personalization 

Seize your customers' attention and guide them towards conversion with targeted messaging within the app

In-app messaging

Contextual nudges

Guide users towards the next best step and encourage them to take specific actions with utmost ease

Personalize product recommendations based on behavior and category affinity for first-time visitors and returning shoppers

App push notifications

Engage shoppers with rich media content(image, video & GIF) that sparks action - with no code

Product recommendations

Enhance user engagement and satisfaction by tailoring the app experience to each user's preferences and behavior

Personalize Across More Channels

On-site Search

Personalization 

Present shoppers with facets relevant to their search query or category page they are browsing

Dynamic filters

Search autosuggest

Display intelligent suggestions to your shoppers based on their search behavior and your catalog for seamless shopping experience

Provide a unique shopping experience to each shopper during search and navigation

In-session Personalization

Understand shopper goals in the context of the current session and show relevant products, even for first time visitors

1:1 Personalization

Personalize  the search and discovery experience for each shopper in real-time

Email 

Personalization 

 Predict the likelihood of your audience to engage, convert or even churn and take the requisite action

Predictive Analytics

Subject Line Generation

Optimize email open rates by utilizing personalized and attention-grabbing subject lines generated by AI

Provide a unique shopping experience to each shopper during search and navigation

Send Time Optimization

AI-powered automation and optimization that ensures emails are delivered at the time of maximum engagement

Interactive AMP Emails


Create captivating emails that are tailored to your customer's behavior, preferences, and stage of their journey

Scale at speeds

Send confidently to a single user or millions at a time with AI-powered inbox delivery

Ditch the one-size-fits-all approach! Elevate your website by offering customers an exclusive, personalized experience that they won't forget

Product recommendations

Content personalization

Tailor static content on banners, content cards and more based on demographics, location, device, and more 

Boutiques

Create landing pages that are unique to each shopper’s behavior and preferences 

Website 

Personalization 

Personalize product recommendations based on behavior and category affinity for first-time visitors and returning shoppers

Engage shoppers with web or browser push notifications customized to their stage in the customer journey

Web push notifications

Mobile App

Personalization 

Seize your customers' attention and guide them towards conversion with targeted messaging within the app

In-app messaging

Contextual nudges

Guide users towards the next best step and encourage them to take specific actions with utmost ease

Personalize product recommendations based on behavior and category affinity for first-time visitors and returning shoppers

App push notifications

Engage shoppers with rich media content(image, video & GIF) that sparks action - with no code

Product recommendations

Enhance user engagement and satisfaction by tailoring the app experience to each user's preferences and behavior

Why Leading Brands Are Choosing Netcore Unbxd Over Algolia

DIY Approach: Generic search solution across industries with limited automation despite Search.io acquisition. Most revenue is from non-eCommerce sectors.

Algolia

eCommerce-Focused AI: Purpose-built semantic search with industry-specific automation for merchandising and personalization.

Limited Capabilities: Requires extensive manual intervention. Consistent feedback from customers who've switched.

Complete Discovery Platform: Proven higher conversion rates and CTRs with extensive AI-ML automation. Trusted by 1,400+ customers.

Best For Small Catalogs: Requires dedicated management team for mid-market and enterprise. Similar maintenance demands as Elasticsearch at higher cost.

Enterprise-Ready: Scales seamlessly from mid-market to enterprise. Powers 120+ billion-dollar retailers without requiring in-house search teams.

Basic Algorithms: Recently launched personalization with weak merchandising, geo-fencing, trend analysis and real-time user affinity features.

Advanced Intelligence: Google-partnered platform with 50+ data signals, hybrid vector search, visual search, and comprehensive personalization capabilities.

Heavy Resource Requirements: Demands dedicated tech, search, and merchandising teams for implementation and maintenance with underwhelming results.

Full-Service Support: End-to-end assistance from implementation to monthly business reviews with dedicated CSMs, integration teams, and business analysts. Self-learning platform that scales automatically.

Feature

Algolia

Implementation

Fully managed with dedicated CSMs and solution architects

DIY setup requiring internal development teams

AI-Powered Search & Ranking

50+ AI models for automatic ranking and personalization

Limited AI capabilities, mostly text-based search

Pricing & Transparency

Flat, predictable pricing with no feature paywalls

Expensive, complex, with hidden costs

Ease of Use

Business-friendly, intuitive dashboard

High learning curve, requiring extensive developer effort

Customization

Deep AI-based personalization, fully automated ranking

Difficult to customize, lacks deep ranking flexibility

API Performance & Reliability

99.99% uptime, ultra-fast response times

No SLA guarantees for API performance

Multi-Index Search

Seamless cross-index search with AI-driven recognition

Difficult to implement, requiring development work

Merchandising Tools

100+ boost/bury levels, real-time product ranking

Limited merchandising features

Support & Customer Success

24/7 premium support, dedicated success managers

Paid support, limited enterprise-level service

Switch from Constructor to Netcore Unbxd, a search that adapts in real time

Turn shoppers into buyers with personalized campaigns

Find a New Way to Search

Stop Losing Shoppers, Start Winning Revenue with Netcore Unbxd

2500+ eCommerce brands have trusted this Constructor alternative to drive growth and watched their revenue soar

+250%

Search Conversions

+55.14%

Revenue Growth

+51%

Average Order Value (AOV) 

+250%

Total Revenue

An Upgraded Search Experience Customers Will Love

Netcore Unbxd is built for intent-first discovery, real-time control, and immediate impact — without waiting for data to “catch up.”

Switch from Algolia to Netcore Unbxd — and start converting smarter. 

Netcore Unbxd is a purpose-built AI-driven platform - giving merchandisers total control, deeper insights, and conversions that actually move.

#1 Constructor alternative

Why brands are rethinking Constructor

Shoppers are moving quickly, campaigns are changing overnight, and new products launch constantly.

Constructor helped retailers improve relevance by learning from shoppers' click data over time. That approach worked when catalogs were stable, traffic was predictable, and learning cycles could afford to be slow.

Today’s search systems can’t afford to wait for history to happen. Clickstream still matters, but it can’t be the backbone anymore.

Where Netcore Unbxd helps you go further

Understanding the intent behind every query in real-time

Interpreting product meaning with intelligence

Reading context like availability, recency, and seasonality

Quick comparison guide

Perform smart segmentation to effectively personalize emails.

Enhance your interactive emails with the power of AI. 

Core search technology

A hybrid engine using intent-based models combined with contextual vector search to generate results

Relies heavily on "attractiveness" models fueled by behavioral clickstream data.

Personalization & segmentation

Weak in segmentation and personalization, depends on external partnerships.

Recommendation

Tracks in-session behaviors, builds profiles on the fly, delivers hyper-personalized experiences. 

Provides recommendations beyond search

Natively integrated, dynamic, and context-aware recommendations that adapt in real time.

Constructor

Testing and analytics

Strong testing and analytics suite to measure the performance of discovery, personalization, and merchandising.

Limited testing and analytics capabilities.

Feature

Stop Losing Shoppers, Start Winning Revenue with Netcore Unbxd

Feature

Constructor

Core search technology

A hybrid engine using intent-based models combined with contextual vector search to generate results

Relies heavily on "attractiveness" models fueled by behavioral clickstream data.

Personalization & segmentation

Tracks in-session behaviors, builds profiles on the fly, delivers hyper-personalized experiences. 

Weak in segmentation and personalization, depends on external partnerships.

Recommendatio

Natively integrated, dynamic, and context-aware recommendations that adapt in real time.

Provides recommendations beyond search

Testing and analytics

Strong testing and analytics suite to measure the performance of discovery, personalization, and merchandising.

Limited testing and analytics capabilities.

The next step in search - Netcore Unbxd

Recognized by Analysts. Trusted by the World’s Leading Brands. 

The best thing about the platform is that you don’t have to spend time going to your development teams. I can take people who are talented in other areas and convert them into merchandisers easily just because the console is so intuitive and easy to use.

CALEB SMITH

Director of Ecommerce

CITY Furniture

In 2022, we opted for a new onsite search vendor, Searchspring. There was no flexibility. We had issues with basic search and catalog understanding. Thankfully, we found Netcore Unbxd. Within just a few days after the switch, search became more intuitive, and our conversion outperformed the previous vendor, exponentially out of the gate.

ANGELA MAYNARD

Director, Ecommerce Operation

RESTAURANT EQUIPPERS

We wanted to have search enrichment, where we had good capabilities, with the least interruption in the site and indexing, meeting the business SLA, sorting, and faceting. All those features really impressed us. Customers are getting accurate results from the website while searching.

NEELAM SINGH

Sr. Ecom Technology Manager

The Children's Place

21 Days

Implementation Time

Clickstream-centric platforms primarily rely on shoppers' past behavior to guide what they see next. That works when data exists. But it creates blind spots when:

Products are new or seasonal

Traffic is low in niche categories

Shopper intent shifts mid-session

Teams need instant results, not delayed learning

Netcore Unbxd enables ecommerce teams to tune relevance, promote priorities, and respond to market shifts without friction. That shift toward speed, control, and relevance-first discovery is why many brands are looking beyond click-stream only platforms.

Don’t take our word for it

A leading outdoor gear and apparel brand, Backcountry, migrated to Netcore Unbxd.

Founded

1996

Headquarters

Utah, US

Industry

Outoor Gear and Apparel

7%

uplift in overall site conversion

What Backcountry achieved with Netcore Unbxd

Backcountry’s switch to Netcore Unbxd delivered fast, measurable improvements across key ecommerce metrics within 60 days of going live:

11%

increase in demand associated with search sessions

9%

growth in revenue per session

“Personalization testing centered around CVR optimization had a positive effect on our browse traffic. We've also seen a 9% increase in Revenue Per Session and a 7% increase in CVR for search compared to our previous provider.”

Jill Beers

Digital Merchandising Manager, Backcountry

Rationale for transitioning to Netcore Unbxd

Backcountry identified several gaps that limited its ability to scale effectively with it’s previous search provider:

Data consistency and visibility

Discrepancies between platform-reported metrics and Google Analytics, especially at the page level, reduced confidence in granular performance analysis.

Relevance and spelling accuracy

Exact-match products did not always surface prominently, and certain spelling corrections produced less relevant results, affecting the shopper experience.

Limited merchandising flexibility

The basic rule-building process restricted the team’s ability to execute category-specific strategies and targeted campaigns.

Lack of algorithm transparency and control

Minimal insight into the ranking logic and limited tuning options made it difficult to adapt search behavior to Backcountry’s diverse mix of technical gear and fast-moving soft goods.