Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Melissa | 15 | — | 0 | 28 | 25 89.3% |
| datasets | 7 | — | 0 | 7 | 7 100% |
| data matching | 7 | — | 0 | 7 | 7 100% |
| www.melissa.com | 7 | — | 0 | 8 | 8 100% |
| data quality services | 6 | — | 0 | 6 | 6 100% |
| compliance | 6 | — | 0 | 6 | 6 100% |
| 5 | — | 0 | 173 | 173 100% | |
| automated deduplication tool | 5 | — | 0 | 5 | 5 100% |
| Melissa.com/twit | 4 | — | 0 | 24 | 24 100% |
| Melissa Data | 4 | — | 0 | 4 | 3 75% |
| Website | 3 | — | 0 | 30 | 30 100% |
| bulk phone verification | 3 | — | 0 | 4 | 4 100% |
| www.Melissa.com | 3 | — | 0 | 3 | 1 33.3% |
| data cleansing | 3 | — | 0 | 3 | 3 100% |
| www.melissa.com/de | 2 | — | 0 | 2 | 2 100% |
| here | 2 | — | 0 | 3 | 2 66.7% |
| Contact Us | 2 | — | 0 | 5 | 5 100% |
| melissa.com | 2 | — | 0 | 5 | 5 100% |
| Unison | 2 | — | 0 | 4 | 4 100% |
| GET A DEMO | 2 | — | 0 | 165 | 165 100% |
| ID & Document Scan Verification | 2 | — | 0 | 2 | 2 100% |
| Address verification | 2 | — | 0 | 3 | 3 100% |
| Privacy Policy | 2 | — | 0 | 141 | 141 100% |
| internationale Adressvalidierung | 2 | — | 0 | 2 | 2 100% |
| Address Verification | 2 | — | 0 | 4 | 4 100% |
| verified data quality | 2 | — | 0 | 2 | 2 100% |
| Email Verification | 2 | — | 0 | 4 | 3 75% |
| data quality | 2 | — | 0 | 2 | 2 100% |
| https://www.melissa.com/ | 2 | — | 0 | 2 | 2 100% |
| Product Index | 1 | — | 0 | 6 | 6 100% |
| Address Lookup | 1 | — | 0 | 1 | 1 100% |
| document verification | 1 | — | 0 | 1 | 1 100% |
| Kontakt | 1 | — | 0 | 1 | 1 100% |
| NCOA Change of Address | 1 | — | 0 | 3 | 3 100% |
| email verification tool | 1 | — | 0 | 1 | 1 100% |
| Mailing & Shipping | 1 | — | 0 | 3 | 3 100% |
| address autocomplete service | 1 | — | 0 | 1 | 1 100% |
| Age verification | 1 | — | 0 | 1 | 1 100% |
| Generalized Cleansing | 1 | — | 0 | 3 | 3 100% |
| About MelissaGlobal leaders in contact data quality. | 1 | — | 0 | 3 | 3 100% |
| validate customer details in real-time | 1 | — | 0 | 1 | 1 100% |
| improve data quality | 1 | — | 0 | 1 | 1 100% |
| Property Hazard Risk | 1 | — | 0 | 3 | 3 100% |
| Keep Mailing Lists Updated | 1 | — | 0 | 1 | 1 100% |
| Listware | 1 | — | 0 | 3 | 3 100% |
| טכנולוגיית ה-IDV | 1 | — | 0 | 1 | 1 100% |
| Vorgaben des Geldwäschegesetzes (GwG) | 1 | — | 0 | 1 | 1 100% |
| CustomersView our over 10,000 satisfied customers. | 1 | — | 0 | 3 | 3 100% |
| Melissa Data logo | 1 | — | 0 | 1 | 1 100% |
| demographic | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to melissa.com?
This page shows all anchor texts found in backlinks pointing to melissa.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 melissa.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 melissa.com have?
The anchor text report for melissa.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.