Audience

Automation platform for the media intelligence industry

About RUZIVO

Segmentation is a process used for Print and Broadcast Media. Until now, Segmentation has always been manual. RUZIVO has automated the process by making use of Machine Learning, which increases accuracy and decreases time and cost. RUZIVO’s Segmentation process includes marking the start and end points of the Radio clips and images for Broadcast and Print. This is the process where it is determined if the image, video, clip, audio stream or email is in fact an Ad. After they are classified as Ads or non-Ads, all media types are run against an archive to conclude if they are new or duplicate Ads. This is an imperative step as the duplicates are mapped while the new Ads are classified into categories according to industry, type and any other specifications requested by the client. RUZIVO’s automation of the Classification process has revolutionized the amount of time clients are aware of any new advertisements within the categories they have requested.

Integrations

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Company Information

Data-Core Systems
Founded: 1988
United States
www.ruzivomedia.com

Videos and Screen Captures

RUZIVO Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Live Online
Support
Phone Support
Online

RUZIVO Frequently Asked Questions

Q: What kinds of users and organization types does RUZIVO work with?
Q: What languages does RUZIVO support in their product?
Q: What kind of support options does RUZIVO offer?
Q: What type of training does RUZIVO provide?

RUZIVO Product Features

Marketing Automation

Social Marketing Not Supported
Content / Blogging Platform Not Supported
A/B Testing Not Supported
Segmentation Not Supported
Search Marketing Not Supported
Website Visitor Tracking Not Supported
Analytics / ROI Tracking Not Supported
Landing Pages / Web Forms Not Supported
Lead Scoring Not Supported
Customizable CTAs Not Supported
Sales Intelligence Not Supported
Dynamic Content Not Supported
Drip Campaigns Not Supported
Artificial Intelligence Not Supported