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Red Volcano
Supply side

The publisher research platform built for ad tech supply-side.

Web Discovery helps supply-side businesses maximise inventory growth and revenue opportunities. Everything you need to find, qualify and win publishers, in one platform instead of four or five.

At a glance

Coverage
32M+ publishers
Refresh
Weekly
Signals
Ad stack, traffic, ads.txt, sellers.json
Output
Exports, CRM, Slack

From $640 / month

Solo tier, 12 months paid upfront. All tiers on the pricing page.

What it does

Inside Web Discovery.

32M+ publishers, refreshed weekly

Ad-tech-stack data, traffic analysis, categorisation and contact details across the open web.

Tech-stack detection

See which publishers run complementary technology — Prebid, header bidding — and are ready for your adapter or tag.

Competitor tag tracking

Follow competitor adoption across the publisher landscape as it changes.

Automated lead lists

Get alerted when publishers add or remove specific technologies, or competitor lines, from their ads.txt files.

sellers.json monitoring

Track when publishers add or drop partners.

Network detection

Identify which sites share ownership, so closing one deal can unlock many more.

Publisher Lens

Qualify or reject a domain in seconds instead of minutes.

Contact enrichment

Prospect contact details ready for outreach.

Exports and integrations

Fully exportable across every feature, with CRM and Slack integrations.

Why teams use it

What changes when you have it.

4–5 → 1Replace a stack of toolsTraffic, tech detection, ads.txt analysis and contact enrichment in a single platform.
~10xQualify prospects fasterPublisher Lens gives you the whole picture on one screen.
Uncover hidden publisher networksScale every win by finding the other sites behind the same owner.
Spot offboarded publishersSee who has left a competitor before someone else grabs them.

Who it’s for

SSPs and ad networks running publisher acquisition and account-growth programmes.

See Web Discovery on your own data.

A short call, run against the live index rather than a canned dataset.