🆚 LimeSpot vs. Segmentify

Compare technologies based on real-world usage data *

Type

Personalization software solution
Personalization software solution

About

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

Segmentify is a customer engagement platform that enables brands to provide personalized, omnichannel customer experiences in real time.

Headquarters

Vancouver, British Columbia, Canada
Istanbul, Turkey

Website

Pricing

Free version ✔️1 order per 30 days
Turbo6.99+/month
Max$50+/month
Free version ❌
€149+/month

Categories

Personalization › Rank #37
Personalization › Rank #47
Conversion Optimization › Rank #67
Conversion Optimization › Rank #100

Popularity

Determined by the number of sites using each technology.

The LimeSpot personalization software solution is 1.8 times more popular than Segmentify.
Total websites

Market share

Personalization
Conversion Optimization

Popularity by country

Determined by the number of sites detected from each country.

LimeSpot is more popular in the United States, the United Kingdom, and Australia, while Segmentify is more popular in Turkey, Germany, and Poland.
Turkey
United States
United Kingdom
Germany
Australia
Poland
Netherlands
India
Canada
Spain

Awards

Popularity by domain category

Determined by the number of sites in each category.

LimeSpot is more popular among sites focused on online shopping, marketing and merchandising, and sports, while Segmentify is more commonly used on fashion and beauty, Internet services, and health sites.
Online Shopping
Fashion/Beauty
Marketing/Merchandising
Sports
Business
Internet Services
Art/Culture/Heritage
Real Estate
Entertainment
Weapons

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#11,302
View more ➝
Name
Rank
#4,774
#29,765
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.