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Technology

Mass Analytics

Last fetched

Mass Analytics is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under marketing analytics, with a published adopter count of 2 hostnames.

Profile

Broader grouping
intelligence and analytics
Published adopter count
2

Mass Analytics is a marketing analytics and data science platform that specializes in marketing effectiveness measurement. The platform integrates with and analyzes data from various marketing channels to provide insights on campaign performance, attribution, and return on investment. It offers AI-driven modeling and visualization tools to help users understand the impact of their marketing spend and optimize resource allocation.

Vendor site: https://www.mass-analytics.com

Sample adopters

2 hostnames WhisperGraph observed running Mass Analytics, a sample of the 2 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 2 Mass Analytics adopters, not of all 2 published adopters. A hostname counts once per network.

Related pages

Pivot from Mass Analytics 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.