>>>>>We manage video data for clients.
How do we increase the efficiency data analysis of billions of YouTube videos?
How can we best categorize the content in these videos?
>>>>>We offer professional insights on our clients’ YouTube channels.
What benchmarks can we create to best analyst and compare a video’s performance?
How do we make the data actionable for clients?
We develop instruments to evaluate a brand’s performance on YouTube
What metrics or analytics would be most useful for brands to see to help them expand and utilize their YouTube presence?
>>>>>>We make it easier for brands to connect with their fans
How do we create data based insights to help facilitate mutually beneficial interactions between brands and their biggest fans on YouTube?
ZEFR solves problems with the following tech:
(Flask), JavaScript (Angular), PostgreSQLGit
Front - AngularJS, HTML5, CoffeeScript, CSS3
Back - CentOS, Ubuntu, Python, PostgresSQL, Redshift, Cassandra, Dynamo DB, Flask, Redis, Rabbit, GoLang, …and more
INTERESTED IN HELPING ON A FULL-TIME BASIS? QUESTIONS?
[email protected] James Chmielinski Head of Talent/Recruiting at ZEFR ZEFR.com