Skip to content
Install MCP

Technology

Bidnamic

Last fetched

Bidnamic is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under ad creative management, with a published adopter count of 9 hostnames.

Profile

Category
ad creative management
Broader grouping
advertising, e-commerce, marketing
Published adopter count
9
Vendor
bidnamic.com

Bidnamic is a software solution designed for ecommerce retailers to optimize and manage their paid search advertising campaigns on platforms like Google and Bing Ads. It uses AI-driven technology to analyze purchase intent, automate campaign management, and optimize product feeds, enabling businesses to scale efficiently and enhance their advertising strategy.

Vendor site: https://www.bidnamic.com/en-us/

Sample adopters

9 hostnames WhisperGraph observed running Bidnamic, a sample of the 9 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 9 Bidnamic adopters, not of all 9 published adopters. A hostname counts once per network.

Related pages

Pivot from Bidnamic into its category and the vendor behind it.

Queries

Resolves the slug's technology-name candidate(s) and projects the winner's fields.


MATCH (t:TECHNOLOGY)
WHERE t.name =~ $pattern
WITH t ORDER BY t.adopterCount DESC, t.name ASC
WITH collect(t)[0] AS winner, count(t) AS candidates
RETURN winner.name AS name,
       winner.description AS description,
       winner.category AS category,
       winner.parentCategories AS parentCategories,
       winner.adopterCount AS adopterCount,
       winner.url AS url,
       winner.vendorApex AS vendorApex,
       candidates
Run yourself →

Reads a 20-host adopter sample and the ASNs announcing its IP addresses.


MATCH (:TECHNOLOGY {name: $name})<-[:RUNS_TECHNOLOGY]-(h:HOSTNAME)
WITH h LIMIT 20
OPTIONAL MATCH (h)-[:RESOLVES_TO]->(:IPV4)-[:ANNOUNCED_BY]->(ap:ANNOUNCED_PREFIX)
OPTIONAL MATCH (a:ASN)-[:ROUTES]->(ap) WHERE a.name IS NOT NULL
RETURN h.name AS host, a.name AS asn
LIMIT 200
Run yourself →

Or query Whisper from your own LLM workflow via the Whisper MCP server.