🆚 Stamped vs. Yandex Maps Reviews

Type

Customer review platform
Customer review platform

About

Stamped is an e-commerce reviews and loyalty platform that helps online retailers collect customer ratings, reward repeat buyers, and manage engagement from a unified dashboard.

It provides automated post-purchase review collection with photo and video support, points-based loyalty and VIP tiers, referral and Net Promoter Score surveys, customizable widgets and email/SMS flows, analytics, and integrations with third-party systems such as Shopify, BigCommerce, Klaviyo, ActiveCampaign, and Mailchimp.

Yandex Maps Reviews widget allows organizations to embed reviews from Yandex Maps on their websites.

Headquarters

Vancouver, British Columbia, Canada
Moscow, Russia

Website

Pricing

Free version ❌
Reviews
200 monthly orders $23/month
1K monthly orders $99/month
5K+ monthly orders $199+/month
Loyalty $299+/month
Lifecycle $499+/month
Free ✔️

Categories

Customer Reviews › Rank #10
Customer Reviews › Rank #40
Loyalty Management › Rank #3

Popularity

Determined by the number of sites using each technology.

The Stamped customer review platform is 7 times more popular than Yandex Maps Reviews.
Total websites

Market share

Customer Reviews

Popularity by country

Determined by the number of sites detected from each country.

Stamped is more popular in the United States, the United Kingdom, and Australia, while Yandex Maps Reviews is more popular in Russia, Belarus, and Kazakhstan.
United States
Russia
United Kingdom
Australia
Canada
Indonesia
Japan
Germany
New Zealand
India

Awards

Popularity by domain category

Determined by the number of sites in each category.

Stamped is more popular than Yandex Maps Reviews in all market segments.
Online Shopping
Marketing/Merchandising
Fashion/Beauty
Business
Health
Sports
Blogs/Wiki
Internet Services
Travel
Software/Hardware

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#16,206
#16,979
View more ➝
Name
Rank
#106,274
#127,020
#159,002
#191,389
View more ➝

See also

🗃️ About This Data