Author: Jillian Rhodes
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.
How mid-market manufacturers can apply the Skimpies zero-ad-spend TikTok Shop model to build watch-time-first creator seeding programs that earn algorithmic reach without paid boosts.
Translate the Goldman Sachs $480B creator revenue forecast into concrete roster architecture, vendor contract restructuring, and headcount decisions your brand can act on now.
Meta’s June 2026 regulatory response forces brands to rebuild creator targeting, age-gating, and approval workflows before their next Instagram campaign goes live.
Apple’s privacy campaign and Meta’s safety expansion are forcing brands to rebuild creator partnerships around transparent data practices and airtight disclosure policies.
How brands should structure sponsorship deals, commerce integration, and attribution for TikTok and Meta episodic series campaigns in the $1.3B US episodic segment.
Adobe, Skift, and Indeed’s CMOs are shaping AI governance standards. Here’s how brand teams translate that emerging consensus into enforceable policy across creative, attribution, and orchestration.
How top brands in 2026 are combining structured creative briefs, hook testing, and paid distribution into one disciplined framework to drive measurable ROI from creator partnerships.
Learn how top brands pair organic creator storytelling with paid distribution to maximize influencer ROI through disciplined creative planning and systematic media amplification.
Discover the 13 B2B creator archetypes driving pipeline in tech, SaaS, and professional services — with a practical framework for discovery, vetting, and briefing each one.
Fragmented MarTech data layers sabotage agentic AI campaign outcomes. Here’s how brand leaders should audit data architecture before deploying autonomous marketing systems.