Skip to content
Install MCP

Technology

Branded Mini-Games

Last fetched

Branded Mini-Games is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under ad creative management, with a published adopter count of 4 hostnames.

Profile

Category
ad creative management
Broader grouping
advertising, marketing
Published adopter count
4
Vendor
brandedminigames.com

Branded Mini-Games is a software solution that creates HTML5 branded games designed to drive customer engagement, conversion, and growth. Businesses use these interactive games as part of their digital advertising strategies to enhance customer interaction and promote brand recognition through gamification techniques.

Vendor site: https://brandedminigames.com/

Sample adopters

3 hostnames WhisperGraph observed running Branded Mini-Games, a sample of the 4 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 3 Branded Mini-Games adopters, not of all 4 published adopters. A hostname counts once per network.

Related pages

Pivot from Branded Mini-Games 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.