Step by step, driven by RAD AI
AI Content Audit
Confirm Persona Match
Define Target Audience
content distribution is...
Always on user generated content creation that supports organic and paid channels
Consistent syndication of already made and pre-approved assets
Low friction, high volume content distribution from brand approved influencer pages
Influencer selection, total influencers, content type, volume of content, total influencers booked and asset variations (size, format, video)
Audience matchmaking based on the intersection of the influencer and brand demographics
12 months; tailored to brand requirements for content distributiuon across pre-approved digital properties
Advertiser permissions for paid amplification through select influencer pages
Influencers create XYZ volume of posts/videos specified to brand requirements and/or distribute already made content across pre-approved social channels
On demand syndication of asset classes like blogs, articles, videos and MGM directed assets; monthly volume guarantees and distribution
Segmented influencer content and messaging drives measurable performance lift.
Selected influencers will create connected experiences before, during and after each show/concert.
RAD AI proprietary machine learning (ML) then connects “the science” to each creative decision.
Machine Learning and non-linear regression analysis
Intersection of data
RAD AI powered
experience based landing pages
Impact reporting and performance lift
AI driven feedback loops
Drive Content Strategies
Data Science Applications
AI Content Experiences
AI Feedback Loops
Influencer marketing is more than engaging influencers to post about your brand.
Influencer content can be deployed into specialized event pages, email sequences, paid social advertising and organic channels.
RAD AI harnesses the influencer content value by connecting machine learning (ML) and regression modeling to important campaign decisions.
and audience development
Click to explore examples of how
RAD AI creates connected brand experiences
Leverage RAD AI to transform your content marketing into
hyper-relevant communication tailored to each customer segment
A.I. informed content tailored to the audience and segment
Machine learning (ML) informed persona and messaging
Influencer asset scroll and content variations
A.I. informed content tailored to the customer profile
Email messaging tailored to the customer profile
RAD deconstructs what success looks like
Set performance benchmarks, create personas, define language recieps and create optimization stratigies
Rad AI confirms key audience types, targets and profiles
Rad AI and humans identify influencers that match the profile persona
Create media , activate influencers, amplify content and measure
A MGM endemic machine learning (ML) feedback loop that drives important campaign decisions
Drives content strategies, content objectives, persona identification, segmented messaging, audience development and campaign performance benchmarks.
Apply data science to creative decisions, language, sentiment and topics - Including/web landing pages, content titles, body, email sequencing and SEO.
AI-based messaging, segmentation and audience development tailored to each customer profile
Competitor intelligence, benchmarked success metrics, lift reporting and robust performance reporting; includes, impact analysis, power words, keywords, SEO and trends
Evergreen feedback loop(s) that continually inform and train machine learning (ML) models tailored to MGM content initiatives.
A.I. optimized CTA tailored to the customer segment