How Lilly Lashes solved the personalization problem of products that are visually very similar and increased revenue per visit by +644% 

UNIQUE INSIGHT: Selling products that are visually almost identical is a complex product merchandizing challenge – AI algorithms that use product meta data and visitor actions are able to recommend the right product to the right audience and to drive significant increase in visitor engagement and revenue per visit.

More than just lashes. They’re a lifestyle.

Founded in 2013 by reality star and glamazon Lilly Ghalichi, Lilly Lashes revolutionized the World of designer lashes by creating “3D Lashes”.

Before 3D Lilly Lashes, beauty mavens that wanted a ultra glam lash look had to stack multiple strips of lashes. Determined to create lashes that were dramatic in just one strip, and that were comfortable enough for all day way- 3D Lilly Lashes were born.

Jennifer Lopez, Kim Kardashian, Kylie Jenner, Rihanna and Lady Gaga are just a few of the A List Celebrities that have rocked the red carpet in their Lilly Lashes.

Glamour, quality, innovation and style are promises Lilly Lashes will always deliver on.

Photo of Kylie Jenner promoting Lilly Lashes' products

Before

The biggest challenge facing LillyLashes ecommerce team was the visual similarity of their products. Their manual merchandising was causing friction in the shopping experience as visitors tried to find relevant products.

To help she began researching data-driven, automated personalization solutions and connected with the Obviy’s team via the Shopify Plus Certified App Program.

After

Obviyo quickly helped LillyLashes team validate the idea of using session-based, personalized product recommendations (the same AI used on Amazon.com).

Consequently, we deployed a portfolio of Growth Bots,  ready-to-go intelligent content blocks that blend lifestyle images with personalized product recommendations, across her site – from homepage to checkout and cart – enabling a dynamic, ultra-relevant product discovery experience for shoppers.

As a result, engagement and average page views went up (a leading indicator of intent to buy), and the value of every visitor entering the site increased 644% from before. Cart abandonment is also down by -7.25% for those who engage with recommended products.

Results

Time period: 30 days

REVENUE PER VISIT

NEW VISITORS

Without Growth Bots:
Page view rate: 2.45
Revenue per visit: $1.28

 

With Growth Bots:
Page view rate: 425%  (12.86)
Revenue per visit: 644%  ($9.56)

UNIQUE INSIGHT

Selling products that are visually almost identical is a complex product merchandizing challenge.

AI algorithms that use product meta data and visitor actions are able to recommend the right product to the right audience and to drive significant increase in visitor engagement and revenue per visit.

MERCHANT VALUE

With Growth Bots, this brand is boosting the visitor engagements.

As a result, they’re significantly increasing revenue-per-visit (RPV) of visitors who are engaging with Growth Bots.

“Obviyo Recommend has been one of the best AI product recommendation solutions we have deployed. We are already seeing the significant positive impact on key metrics like; RPV, conversion rate, average order value, and time on site. Obviyo has been wonderful to work with, very knowledgeable, helpful and an extra asset if you have a smaller team.”

– Kristina Burbich , VP eCommerce