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Campaign | Education

RAD AI Guides Creator Activations for Colleges Across North America.

Why RAD AI for Education

Leading colleges across the nation come to RAD AI to develop authentic creator campaigns. RAD’s AI is used to guide the creator selection process and inform the creative strategy for each activation.

Each campaign uses real students to create content using RAD’s AI as a guide during the activation.

Key Challenges

Identifying localized and authentic creators

Validate strategy with AI backed data that guides creative decisions like media and content type

Deliver a scalable feedback loop that provides stakeholders easy to understand reporting

Guaranteeing campaign performance by market with KPIs like reach, impressions and engagement

Adhere to client approved budget requirements per activation with content and creator approvals

What we did

Examples of
AI Informed Content

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Marketing Objectives

Create awareness around key college programs for target student audiences

Deliver authentic content that can be repurposed across the entire marketing mix

Deliver guaranteed reach and impression volume for each piece of creator made content

Analyze the content and creator performance with custom-built AI to inform future marketing decisions

Secure comprehensive digital rights for paid advertising

The RAD AI solution has been an integral part of transforming and scaling our digital product offering..."

Mike Rosen

Chief Revenue Officer

Better Creators and Content Delivers More ROI




Engagement Rate


Total Engagements


AI-Informed Impressions


AI-Informed Engagement Rate


Total Engagements

AI EQ Results

by the numbers

Why these numbers matter


Unique pieces of AI informed content

The content was created to be fed into the entire marketing mix. RAD uses its AI to guide what type of content needs to be created per channel. The brand approves each piece of content prior to it being pushed live


Total creators activated

Marketers have biased opinions about which creator will or won’t work. RAD AI is used to validate creator selections and remove biased opinions about what the campaign strategy should be.


Engagement rate improvement

We benchmarked the average brands engagement performance at 4%. RAD AI informed content averaged a 10.1% engagement rate, which was an increase of over 255% respectively.

Adaptable Feedback Loop

Ranks the content by the predicted performance objective

RAD AI models use historical performance and channel data for optimization

CBrand specific AI models were built for organic and paid advertising on TikTok

Our AI models have inputs that tailor to the campaign objective, interest and audience type

RAD AI models are available for paid advertising, blogs, emails and web pages

See how RAD AI can be used on your next education campaign

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See how RAD AI can be used on your next education campaign

Learn More