Generate record high revenue gains through Artificial Intelligence

Jetlore's "machine learning to rank" technology learns customer tastes at the product attribute level.  We use this information to deliver predictive individualized content within email, onsite, and in mobile apps.

The majority of customer touch-points are in the upper funnel - and it needs a major upgrade.

Upper Funnel

Currently a "one-size-fits-all experience"

Manually curated by marketing teams

Trains customers to wait for discounts

Lower Funnel

Product Detail Pages, Shopping Cart Page, Behavioral Email Triggers

Touch points where customers are already likely to convert.

One Size Does Not Fit All

Upper Funnel marketing channels don't have to be superficial.

Marketing teams are still creating discount heavy, thematic collateral for all subscribers based on a detailed merchandising calendar in all channels, or stuck with a segmentation based recommendation widget that falls flat.  

Jetlore Layouts replace the marketing calendar and early segment based models, because our unique data model looks at the semantic attribute preferences of each user, and dynamically selects the right content for each user in every channel.

How each solution sees the user


One Size Fits All

Everyone receives the same discounts and categories, regardless of behavior.


User browsed jeans. He now belongs to the jeans segment.


This is Joe. Based on the attributes within the products he interacts with, we know he likes expensive brands, tailored fits, and keeps it casual.

Learning-to-Rank Technology

Jetlore Solutions


Individualized Email Campaigns

Drive higher customer lifetime value by automatically selecting the email promotions, categories, products, and editorial content that fit each customer's diverse interests and preferences. 


Layouts for Web

Decrease bounce rate and increase engagement on your top landing pages. 

Jetlore recognizes each customer on-site, and populates the promotions, categories, items, and editorial pieces based on their specific interests.


Product Listing Page Ranking

Use machine learning to sort each product based on its attributes and relevance to each user's preferences in real-time.


Layouts for Apps

Maximize your mobile real estate by delivering only the most relevant content in a limited space.