🆚 Boost vs. EC Recommender

Compare technologies based on real-world usage data *

Type

Conversion optimization tool
Conversion optimization tool

About

Boost is an AI-powered search and discovery solution for Shopify stores that improves product findability and browsing by enhancing site search, filters, recommendations, and merchandising.

It provides AI-powered search with typo tolerance and synonym detection, dynamic product filters, predictive product bundles, analytics on search behavior, and personalized product recommendations.

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

Headquarters

Ho Chi Minh City, Vietnam
Takarazuka, Hyōgo, Japan

Website

Pricing

Free version ❌Free 21-day trial
Launch
(up to $5K GMV)
$29+/month
Convert
(up to $100K GMV)
$299+/month
Accelerate
(up to $650K GMV)
$699+/month
Free version ❌
5,200+ JPY/month

Categories

Conversion Optimization › Rank #18
Conversion Optimization › Rank #113
Live Chats › Rank #16
Site Search › Rank #6

Popularity

Determined by the number of sites using each technology.

The Boost conversion optimization tool is 16 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.

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

Awards

Popularity by domain category

Determined by the number of sites in each category.

Boost is more popular than EC Recommender in all market segments.
Online Shopping
Fashion/Beauty
Marketing/Merchandising
Business
Sports
Real Estate
Entertainment
Blogs/Wiki
Software/Hardware
Restaurants

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#17,695
#20,166
#22,582
View more ➝
Name
Rank
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.