Aggregator Audience Semantic 
VC Cafe
MARCH 1, 2024
I’ve recently come across several of such lists and I thought it could be useful to aggregate them and share them here. AI characters are already hosting interactive streams and shows in which they respond to audience questions, comments, or votes in real-time.
Hunter Walker
OCTOBER 13, 2022
So long as Substack offers a great publishing platform ( and helps grow audiences ) they will have enough writers. In return, Substack should take a percentage of the revenue produced by that app (from the app provider side, not the author’s cut, even though yes, I realize that it’s kinda semantics if you’re talking about one pool).
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VC Cafe
JUNE 18, 2012
Unlike other companies, we are a true digital record label, not aggregators. Innovid developed the groundbreaking iRoll®, which embeds interactive elements in pre-roll video ads making them dynamic and engaging without forcing audiences away from the page. is a leading provider of real-time, automated audience measurement solutions.
ConversionXL
OCTOBER 28, 2016
There are three main types of encoding: acoustic, visual, and semantic. repeating a phone number out loud over and over again) while long-term memory relies on semantic encoding (e.g. To create these types of associations, start by… Knowing what your audience will draw parallels to. via Buffer). mnemonics).
www.pakman.com
SEPTEMBER 27, 2012
” Users tend to aggregate around platforms and content they identify with (organized around demographics, topics like movies or restaurants, shopping, etc.) rather than aggregating on one common platform and hoping to wade through a morass of content to catch a piece that might be relevant to their own personal interests, etc.
ConversionXL
OCTOBER 27, 2020
In aggregate, long-tail queries can drive a ton of traffic. You’re likely already doing keyword research to identify how your target audience researches your topic and which answers they need in your content. Text Optimizer is another useful tool that uses semantic analysis to identify underlying concepts and search patterns.
View from Seed
OCTOBER 7, 2015
This can be done with an application that mimics messaging or exists within these services, which have obviously massive audiences. These are still very early days for machine learning, and we’re many iterations and innovations away from a wholly independent AI that can understand all of our semantics, let alone incite the Singularity.
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