Yandex Market Makes Customer Reviews Cheaper for Sellers

Posted by By Dan Taylor 2 Min Read

Yandex Market has introduced a new system to make collecting customer reviews more affordable for sellers, especially for products under 500 rubles. Sellers can now pay just 10 rubles for a text review, significantly lower than the previous cost of 50 rubles. Buyers who participate will receive 10 Plus points for their contributions.

This adjustment is expected to help sellers gather reviews more efficiently, with a reported increase in review collection speed.

Cheaper Incentives, Faster Reviews

The new reward system launched in early November, and over 3,000 sellers have already used it. Data shows that reviews for inexpensive goods are collected 2.5 times faster with this reduced-cost incentive compared to no reward system.

Sellers can set up campaigns for review collection at any time, either through an automated setup or by targeting specific products. This flexibility allows businesses to tailor strategies for increasing product visibility through customer feedback.

Boosting Engagement With Video Reviews

In addition to text reviews, Yandex Market now encourages buyers to create video reviews. Buyers receive extra Plus points for these contributions, adding value to the review system.

Product pages now display badges showing the rewards available for reviews, making it easier for customers to understand the benefits. Video reviews not only help sellers but also provide other shoppers with better insights into the product before purchasing.

This initiative highlights Yandex Market’s commitment to creating a more interactive and rewarding shopping experience for both buyers and sellers.

Source: Yandex Press Release
Dan Taylor
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Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.
Founder & Editor