🆚 Clerk.io vs. LimeSpot

Compare technologies based on real-world usage data *

Type

Personalization software solution
Personalization software solution

About

Clerk.io is an AI-powered e-commerce personalization platform that helps web stores sell more through intelligent search and targeted product recommendations.

LimeSpot is an AI-driven personalization engine built for Shopify and BigCommerce stores to improve conversion rates.

Headquarters

Copenhagen, Denmark
Vancouver, British Columbia, Canada

Website

Pricing

Free version ❌
Search$119+/month
Recommendations$119+/month
Audience$119+/month
Free version ✔️1 order per 30 days
Turbo6.99+/month
Max$50+/month

Categories

Personalization › Rank #22
Personalization › Rank #37
Site Search › Rank #13
Conversion Optimization › Rank #67

Popularity

Determined by the number of sites using each technology.

The Clerk.io personalization software solution is 2.2 times more popular than LimeSpot.
Total websites

Market share

Personalization

Popularity by country

Determined by the number of sites detected from each country.

Clerk.io is more popular in Italy, Denmark, and the United Kingdom, while LimeSpot is more popular in the United States, Australia, and India.
Italy
Denmark
United Kingdom
United States
Norway
Netherlands
Germany
Sweden
Australia
Ireland

Awards

Popularity by domain category

Determined by the number of sites in each category.

Clerk.io is more popular among sites focused on online shopping, fashion and beauty, and marketing and merchandising, while LimeSpot is more commonly used on art, culture and heritage sites.
Online Shopping
Fashion/Beauty
Marketing/Merchandising
Business
Sports
Health
Pharmacy
Real Estate
Weapons
Software/Hardware

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#22,513
#30,876
#37,429
View more ➝
Name
Rank
#11,302
View more ➝

See also

* According to recent studies, many of online reviews are fake.
When making your decision, it is better to rely on data that cannot be falsified.
Our service evaluates the popularity of technologies by the number of websites using them.

Statistics were last calculated on .
For details, see our methodology and disclaimer.