E-Commerce Average Check Drops by 6% in 2024 Due to Marketplaces

In 2024, the average check in Russia’s e-commerce sector decreased by 6% compared to 2023, and by 20% compared to 2022, according to a study by Go Mobile and MTS Ads. The current average purchase amount is 1.4 thousand rubles.

Experts attribute this steady decline to the growing influence of marketplaces, where the average check is significantly lower—about half of what it is in specialized or niche online stores. In the first half of this year, Russian consumers spent a total of 5.2 trillion rubles on marketplaces, accounting for 50% of the country’s total e-commerce turnover.

Despite the dominance of marketplaces, consumers still prefer specialized online stores when purchasing expensive goods.

This trend has been particularly noticeable among Russian clothing manufacturers, many of whom have reduced their sales on marketplaces. These brands are finding it challenging to position their products as premium items on large platforms, which typically cater to lower-cost purchases.

Nevertheless, marketplaces continue to evolve. Recently, Yandex Market introduced its updated application for buyers, dubbed Market 2.0, aimed at enhancing the customer experience.

Source: Kommersant

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.