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Technology

Adpulse

Last fetched

Adpulse is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under ad verification and optimization, with a published adopter count of 5 hostnames.

Profile

Category
ad verification and optimization
Broader grouping
advertising, marketing, intelligence and analytics, software development
Published adopter count
5
Vendor
adpulse.app

Adpulse is a software platform that analyzes advertising accounts to provide insights and recommendations aimed at optimizing campaign performance according to business goals. The product supports marketers and agencies by focusing on key performance areas to improve return on ad spend, reduce management time, and enable handling more clients efficiently.

Vendor site: https://adpulse.app/

Sample adopters

5 hostnames WhisperGraph observed running Adpulse, a sample of the 5 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 5 Adpulse adopters, not of all 5 published adopters. A hostname counts once per network.

Related pages

Pivot from Adpulse 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.