🆚 Amplify vs. Digioh

Type

Conversion optimization tool
Personalization software

About

Amplify is a suite of growth tools that helps Shopify merchants boost key metrics like revenue, average order value (AOV), and lifetime value (LTV) with integrated bundles, upsells, subscriptions, and an intelligent cart.

Digioh is an e-commerce personalization and conversion rate optimization platform that provides personalized banners, pop-ups, forms, quizzes, and surveys.

It includes a drag-and-drop builder for pop-ups and forms, product recommendation quizzes, and an identity resolution suite called Digioh Passport that recognizes visitors across sessions and devices.

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Headquarters

Ge'alya, Israel
San Francisco, California, United States

Website

Pricing

Free version ❌
Cart & Checkout $29.5+/month
Bundles & Upsell $99.5+/month
Subscriptions $99.5+/month
Amplify One $5,988+/year
Free version ❌
$500+/month

Categories

Conversion Optimization › Rank #52
Conversion Optimization › Rank #28
Personalization › Rank #48
Personalization › Rank #19
Forms › Rank #20
Lead Generation › Rank #20

Popularity

Determined by the number of sites using each technology.

The Digioh personalization software is 4 times more popular than Amplify.
Total websites

Market share

Conversion Optimization
Personalization

Popularity by country

Determined by the number of sites detected from each country.

Digioh is more popular in the United States, Canada, and the United Kingdom, while Amplify is more popular in Germany, Australia, and Sweden.
United States
Canada
United Kingdom
Germany
Australia
France
New Zealand
Mexico
Netherlands
Italy

Awards

Popularity by domain category

Determined by the number of sites in each category.

Digioh is more popular than Amplify in all market segments.
Online Shopping
Fashion/Beauty
Business
Marketing/Merchandising
Health
Education/Reference
Entertainment
Sports
Recreation/Hobbies
General News

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#36,104
#41,901
#94,128
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Name
Rank
View more ➝

See also

🗃️ About This Data