The Boxfish platform is an award winning, patented suite of text analytics and AI algorithms engineered to extract highly relevant, hidden audiences across platforms such as Facebook, Instagram, Adwords, Twitter and YouTube.
Using the Boxfish platform, we consistently deliver market-leading results for the world's largest entertainment and content brands.
YOU'RE IN GOOD COMPANY
HOW IT WORKS
UNDERSTANDING THE AUDIENCE
The Boxfish platform builds a connected map of any topic. All targeting variables within this conversational map are used to identify the Core audience - this is achieved using the Science of Semiotics. Semiotics is a model of linguistics which governs how humans understand meaning from content based on its context. It’s the workhorse that lies at the core of the platform.
Our patented methodology with Semiotics has made Boxfish absolute experts in understanding context. We implicitly know the true meaning of any spoken word in digital conversations. As an example, if someone mentions the word “Java” in a tweet, we understand if they mean Country, Code or Coffee. This has meaningful implications with finding the right, quality audience.
This approach is unique to Boxfish - we have a cross platform view of data - analysing Twitter convo’s to find insights into your audience that is driving exponential results across multiple platforms.
235% Lower CPA
A major SVOD brand has worked extensively with Boxfish who signed up to achieve a triple objective:
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Boxfish results lowered average CPA for the brand on YouTube by 235%
An established SVOD brand worked exclusively with Boxfish for a YouTube effort to promote their first two original content series.
Custom Audiences prepared
$50k per day @ $0.04 CPV
Boxfish results increased original content views by 800%
A Top 4 broadcast TV network tested traditional TV targeting on Twitter against Boxfish data in a head-to-head.
4.7X more engagements
66% higher ER
Boxfish methodology on Twitter produces 3X addressable impressions at CPE / CPV benchmarks that are 50% lower than customer averages