Yandex Metrica Changes How It Counts Views Within a Visit

Yandex Metrica has changed how it calculates views within a single visit. The update was published on April 30 in the “Change History” section of its support pages.

Now, the system only counts internal transitions as views during a visit. Repeat visits from external sources, like search engines, will no longer be included in the view count for the same session.

This means if a user clicks through from a search engine to a website, then returns again via another search result during the same session, the second visit will not count as a new view. It also won’t register as a repeat page view.

These changes may impact key metrics like session depth, visit duration, and bounce rates.

Viktor Kargin, the author of the SEO-focused Telegram channel SEOсhat, commented on the update. He noted that Yandex may be trying to counteract manipulation techniques. Some site owners artificially boost metrics by encouraging repeated transitions from search results.

Kargin described the update as “strange” because the second visit during the same session is no longer tracked as a view. He believes this may lead to underreporting of legitimate user engagement.

This update could lead to lower view counts in Yandex Metrica reports, especially for sites that rely heavily on search traffic. It also may influence how SEO performance is interpreted.

Yandex has not provided further details beyond the brief note on the support site.

Webmasters using Metrica should review how this change affects their analytics and consider adjusting their performance benchmarks accordingly.

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.