Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| source | 3 | — | 0 | 3 | 3 100% |
| BuzzFeed | 3 | — | 0 | 4 | 4 100% |
| Read the article | 3 | — | 0 | 3 | 3 100% |
| TikTok | 3 | — | 0 | 3 | 3 100% |
| More from the series → | 3 | — | 0 | 14 | 14 100% |
| Source: Digiday | 3 | — | 0 | 3 | 2 66.7% |
| пишет | 3 | — | 0 | 29 | 28 96.6% |
| 3 | — | 0 | 5 | 5 100% | |
| Digiday Media Buying Summit | 3 | — | 0 | 4 | 4 100% |
| Heliograf | 3 | — | 0 | 3 | 2 66.7% |
| Kimeko McCoy | 3 | — | 0 | 6 | 6 100% |
| www.digiday.com | 3 | — | 0 | 3 | 3 100% |
| https://digiday.com/ | 3 | — | 0 | 3 | 1 33.3% |
| 3 | — | 0 | 3 | 3 100% | |
| Privacy Sandbox | 3 | — | 0 | 3 | 3 100% |
| Lire l’article | 2 | — | 0 | 2 | 2 100% |
| study | 2 | — | 0 | 2 | 2 100% |
| +5% engagement rate | 2 | — | 0 | 2 | 2 100% |
| 20% and 40% | 2 | — | 0 | 2 | 2 100% |
| WhatsApp emerges as big share driver for publishers | 2 | — | 0 | 2 | 2 100% |
| Influencer marketing on Facebook is about to get more expensive | 2 | — | 0 | 2 | 2 100% |
| Digiday survey | 2 | — | 0 | 2 | 2 100% |
| he told Digiday | 2 | — | 0 | 2 | 2 100% |
| Read more. | 2 | — | 0 | 5 | 5 100% |
| 85% of videos on Facebook | 2 | — | 0 | 2 | 2 100% |
| The Washington Post | 2 | — | 0 | 2 | 2 100% |
| Read the full story | 2 | — | 0 | 3 | 3 100% |
| Ad spend has held steady | 2 | — | 0 | 2 | 2 100% |
| Publishers’ love-hate relationship with StumbleUpon | 2 | — | 0 | 2 | 2 100% |
| How Hearst learned to play with emotions to drive Facebook traffic | 2 | — | 0 | 2 | 2 100% |
| 49% | 2 | — | 0 | 2 | 2 100% |
| claimed | 2 | — | 0 | 2 | 2 100% |
| shows | 2 | — | 0 | 2 | 2 100% |
| сообщает | 2 | — | 0 | 2 | 2 100% |
| Ad Alliance | 2 | — | 0 | 2 | 2 100% |
| according to an eMarketer survey cited by Digiday | 2 | — | 0 | 2 | 2 100% |
| generated $38 billion | 2 | — | 0 | 2 | 2 100% |
| "How the Banner Ad Was Born" | 2 | — | 0 | 2 | 1 50% |
| refund advertisers | 2 | — | 0 | 2 | 2 100% |
| polywork | 2 | — | 0 | 3 | 1 33.3% |
| TELEGRAM @SEO_LINKK_ORDER – SEO BACKLINKS, HOMEPAGE LINKS, CROSSLINKS | 2 | — | 0 | 2 | 0 0% |
| >>> Read full article>>> | 2 | — | 0 | 4 | 0 0% |
| Erik Diehn | 2 | — | 0 | 2 | 1 50% |
| Oreo | 2 | — | 0 | 2 | 2 100% |
| watched without sound | 2 | — | 0 | 2 | 2 100% |
| Do publishers need a WhatsApp strategy? | 2 | — | 0 | 2 | 2 100% |
| per Digiday | 2 | — | 0 | 2 | 2 100% |
| Verimi, EU Net ID | 2 | — | 0 | 2 | 2 100% |
| wrote | 2 | — | 0 | 2 | 2 100% |
| acknowledged | 2 | — | 0 | 2 | 1 50% |
Frequently Asked Questions
What anchor texts are used to link to digiday.com?
This page shows all anchor texts found in backlinks pointing to digiday.com, 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 digiday.com.
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 digiday.com have?
The anchor text report for digiday.com 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.