Step by step, driven by RAD AI
AI Content Audit
Confirm Persona Match
Define Target Audience
AI feedback loops that
informs creator content
Operationalize content performance insights to inform creative decisions and paid advertising
Map campaign objectives to influencer audience inputs by demographics, psychographics and interests
High volume influencer content that can be used on any brand owned digital property including blogs, emails and web 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
Authentic creator content drives measurable performance lift.
AI informed experiences for modern audiences.
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
Personality based marketing is more than engaging influencers to post about your brand.
Influencer content can be deployed into specialized web 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.
The removal of
Hover to explore examples of how
RAD AI creates connected brand experiences
Leverage RAD AI to transform your content marketing into authentic 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 recipes and create optimization strategies
Rad AI confirms key audience types, targets and profiles
Identify content for each
End to end control, approvals
A machine learning (ML) feedback loop helps 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