People also ask
In practice
The sales page shows DR and price; the qualification shows everything else.
The metrics that predict whether a placement works: verified organic traffic (the tool’s estimate checked against the site itself — a DR 60 site with tool-inflated traffic and no real readers sells wallpaper); traffic trend (rising or stable, not a cliff with legacy numbers); topical relevance read at site, page and paragraph level; the page’s actual state (indexed, maintained, not a mid-migration shell); the publisher’s outbound behaviour (what else they link to, how often, with what anchors); and the vendor’s own history — survival rate of past placements, because a link that disappears in month three costs the same as one that lasts.
What the headline metrics get wrong: DR and DA measure one input (backlinks) with no view of traffic, topic or editorial practice, and they are gameable precisely because people pay for them. Price is not a metric at all — it is an offer whose value depends entirely on what the floor behind it is. The working discipline: a metric floor (DR 40, say) as the cheap first filter, then human verification of everything the filter cannot see, then the approval pack that shows the client the same evidence before anything goes live.
Reporting closes the loop: every placement logged with its qualification evidence, so over a quarter the buyer learns which predicted value and which didn’t — the only metric education that actually compounds.
See also: Quality signals: DR, traffic, relevance, content, Traffic quality of publishers, High-authority vs high-relevance links.
Related service: Link insertions.
Related terms
- Quality signals: DR, traffic, relevance, content
- Traffic quality of publishers (beyond the number)
- High-authority vs high-relevance links
- Organic traffic of publishers (traffic check)
- AI content detection and originality
- DR 40+ as an entry filter (not the verdict)
- Traffic verification (Ahrefs vs analytics)
- Site-level vs page-level qualification
