🆚 EC Recommender vs. Lucky Orange

Compare technologies based on real-world usage data *

Type

Conversion optimization tool
Web analytics tool

About

EC Recommender is a Japanese recommendation engine for e-commerce.

Lucky Orange is a website analytics tool that helps track and visualize user behavior with heatmaps, session recordings, and surveys.

It features real-time heatmaps showing clicks, scrolls and mouse movements, replayable session recordings for detailed interaction review, customizable surveys and feedback polls, and form analytics and conversion funnels.

Headquarters

Takarazuka, Hyōgo, Japan
Overland Park, Kansas, United States

Website

Pricing

Free version ❌
5,200+ JPY/month
Free version ✔️100 sessions per month
Build
(3.5K sessions)
$39/month
Grow
(10K sessions)
$89/month
Expand
(50K+ sessions)
$249+/month
Scale
(300K+ sessions)
$1,049+/month

Categories

Conversion Optimization › Rank #113
Conversion Optimization › Rank #4
Analytics › Rank #28
Feedback › Rank #9

Popularity

Determined by the number of sites using each technology.

The Lucky Orange web analytics tool is 42 times more popular than EC Recommender.
Total websites

Market share

Conversion Optimization

Popularity by country

Determined by the number of sites detected from each country.

Lucky Orange is more popular in the United States, the United Kingdom, and Australia, while EC Recommender is more popular in Japan.
United States
United Kingdom
Australia
Japan
Canada
India
Germany
France
Mexico
New Zealand

Awards

Popularity by domain category

Determined by the number of sites in each category.

Lucky Orange is more popular than EC Recommender in all market segments.
Online Shopping
Business
Marketing/Merchandising
Fashion/Beauty
Internet Services
Health
Education/Reference
Software/Hardware
Real Estate
Travel

Top sites

Top-ranked sites that use these technologies.

Name
Rank
View more ➝
Name
Rank
#10,944
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.