Author: Jillian Rhodes
Jillian is a New York attorney turned marketing strategist, specializing in brand safety, FTC guidelines, and risk mitigation for influencer programs. She consults for brands and agencies looking to future-proof their campaigns. Jillian is all about turning legal red tape into simple checklists and playbooks. She also never misses a morning run in Central Park, and is a proud dog mom to a rescue beagle named Cooper.
Learn how to redesign your creator program with always-on paid boost cycles—including the trigger logic, budget caps, and performance thresholds that govern automated spend.
AI format-performance analysis is helping brand content teams cut low-ROI creator formats and concentrate spend on the specific content types that consistently outperform by category and platform.
A practical CAC optimization framework for brand marketers to rebalance creator tiers, platform mix, and paid amplification ratios until creator programs consistently beat alternative acquisition chan
Most brands can’t prove which creator activations drive revenue. Here’s the exact analytics infrastructure needed to close the attribution gap in a single quarter.
CPG brands are eliminating duplicate production budgets by engineering creator assets that work as organic social content and retail media placements on Amazon DSP and Walmart Connect simultaneously.
A quarterly framework for shifting creator budgets from flat sponsorship fees toward hybrid models where amplification spend scales with organic post performance.
Learn how to rank vertical video, podcasts, newsletters, Reels, and livestreams by projected ROI using AI-analyzed audience data — built for brands with constrained budgets.
TikTok’s ad network collects IP addresses, device IDs, and interaction data by default. Here’s what that means for your commerce integrations and privacy compliance obligations.
AI agents now plan and place creator-adjacent ads without human approval—creating dangerous FTC disclosure gaps. Here’s how to assign liability and define override requirements.
AI media-buying errors can silently distort attribution and trigger compliance violations. Here’s how brand teams should build human oversight protocols and error-detection checkpoints to catch them f