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Technology

Mikmak

Last fetched

Mikmak is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under marketing analytics, with a published adopter count of 61 hostnames.

Profile

Category
marketing analytics
Broader grouping
intelligence and analytics
Published adopter count
61
Vendor
mikmak.com

Mikmak is a B2B data platform that enables companies to manage, analyze, and leverage their customer data for business growth. It provides tools for data integration, segmentation, and personalized marketing campaigns. The platform integrates with various data sources to create unified customer profiles and offers features for predictive analytics and automated workflows, helping businesses make data-driven decisions.

Vendor site: https://www.mikmak.com

Sample adopters

20 hostnames WhisperGraph observed running Mikmak, a sample of the 61 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 20 Mikmak adopters, not of all 61 published adopters. A hostname counts once per network.

Related pages

Pivot from Mikmak 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.