Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| ссылке | 2 | — | 0 | 2 | 2 100% |
| Доклад на сайте конференции | 2 | — | 0 | 18 | 0 0% |
| AnalystDays-2014 | 1 | — | 0 | 1 | 0 0% |
| Analyst’s Guide to GUI: Проектирование интерфейсов как элемент системного анализа | 1 | — | 0 | 2 | 0 0% |
| AnalystDays-2016 | 1 | — | 0 | 2 | 0 0% |
| AnalystDays | 1 | — | 0 | 11 | 0 0% |
| Коммуникация при различной структуре мышления - таксономия против фолксономии | 1 | — | 0 | 2 | 0 0% |
| по ссылке | 1 | — | 0 | 1 | 1 100% |
| Есть мнение | 1 | — | 0 | 1 | 0 0% |
| analystdays.ru | 1 | — | 0 | 1 | 1 100% |
| AnalystDays-19 | 1 | — | 0 | 3 | 0 0% |
| Лев Немировский из ПСБ делал аналогичный доклад | 1 | — | 0 | 3 | 0 0% |
| опубликована на сайте конференции | 1 | — | 0 | 2 | 0 0% |
| доклад Юры Куприянова | 1 | — | 0 | 1 | 0 0% |
| Посетить сайт | 1 | — | 0 | 1 | 0 0% |
| AnalystDays-13 | 1 | — | 0 | 1 | 0 0% |
| доклад на сайте конференции | 1 | — | 0 | 1 | 0 0% |
| «Как строить образ будущего и идти к нему - схемы самоопределения» | 1 | — | 0 | 1 | 0 0% |
| Analyst Days | 1 | — | 0 | 1 | 0 0% |
| видео и презентация | 1 | — | 0 | 1 | 0 0% |
| AnalystDays-14 | 1 | — | 0 | 1 | 0 0% |
| https://analystdays.ru/ | 1 | — | 0 | 1 | 1 100% |
| REGISTER NOW | 1 | — | 0 | 1 | 1 100% |
| AnalystDays-2017 | 1 | — | 0 | 3 | 0 0% |
| Архитектура софта и бизнеса в сложном ИТ-ландшафте | 1 | — | 0 | 1 | 0 0% |
| Проектируем архитектуру софта для бизнеса | 1 | — | 0 | 1 | 0 0% |
| Программа конференции | 1 | — | 0 | 1 | 1 100% |
| Осенний AnalystDays 2021 | 1 | — | 0 | 1 | 0 0% |
| 4-й AnalystDays 2015 | 1 | — | 0 | 2 | 0 0% |
| AnalystDays-2023 | 1 | — | 0 | 2 | 0 0% |
| AnalystDays – 2014 | 1 | — | 0 | 1 | 0 0% |
| доклада Елены Волченко "Прогнозная модель расчета LTV клиентов на примере игрового проекта Небеса" | 1 | — | 0 | 2 | 0 0% |
| Analyst Days-18 | 1 | — | 0 | 1 | 0 0% |
| “Information security in analytics” | 1 | — | 0 | 1 | 1 100% |
| AnalystDays-18 | 1 | — | 0 | 2 | 0 0% |
| AnalystDays-9 | 1 | — | 0 | 1 | 0 0% |
| предметной области для разных парадигм программирования" | 1 | — | 0 | 1 | 0 0% |
| AnalystDays-4 | 1 | — | 0 | 1 | 0 0% |
| AnalystDays-2022 | 1 | — | 0 | 1 | 0 0% |
| Мастер-класс на сайте конференции | 1 | — | 0 | 2 | 0 0% |
| http://analystdays.ru/ru/talk/41792 | 1 | — | 0 | 1 | 0 0% |
| рассказывал на AnalystDays | 1 | — | 0 | 2 | 0 0% |
| See the programme | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to analystdays.ru?
This page shows all anchor texts found in backlinks pointing to analystdays.ru, sorted by the number of referring domains using each anchor. Anchor texts range from branded terms (like the domain name itself) to keyword-rich phrases that describe the linked content. The distribution of anchor texts reveals how other websites perceive and describe analystdays.ru.
What is anchor text?
Anchor text is the visible, clickable text in a hyperlink. Search engines use anchor text as a signal to understand what the linked page is about. For example, if many sites link to a page using the anchor text "best running shoes," search engines infer that the page is relevant to that topic. Anchor text appears in several forms: exact-match (contains target keywords), branded (uses the company or domain name), generic (like "click here"), and naked URLs.
Why is anchor text analysis important for SEO?
Anchor text analysis helps identify potential SEO risks and opportunities. A natural backlink profile has diverse anchor texts including branded terms, generic phrases, and topic-relevant keywords. Over-optimization, where too many backlinks use the same exact-match keyword anchor, can trigger search engine penalties. Conversely, understanding which anchors drive the most authority (measured by referring domain count and DR) helps prioritize link building efforts.
How many unique anchor texts does analystdays.ru have?
The anchor text report for analystdays.ru displays all distinct anchor texts grouped by their hash. Each row shows how many unique referring domains use that anchor, the total number of links, and the dofollow percentage. A high number of unique anchors generally indicates a healthy, natural backlink profile with diverse link sources.