Author: Ava Patterson
Ava Patterson
Ava is a San Francisco-based marketing tech writer with a decade of hands-on experience covering the latest in martech, automation, and AI-powered strategies for global brands. She previously led content at a SaaS startup and holds a degree in Computer Science from UCLA. When she's not writing about the latest AI trends and platforms, she's obsessed about automating her own life. She collects vintage tech gadgets and starts every morning with cold brew and three browser windows open.
Rising AI compute costs are squeezing creator content generation budgets, forcing brands to rethink volume, vendors, and ROI math.
Google’s AI news curation favors structured, source-verified brand content, here’s how marketers earn a spot before competitors do.
Agentic AI media buyers now bundle UGC into paid placement bids automatically, forcing brands to rethink usage rights and compliance.
Loyalty program data exchanges let brands share first-party purchase signals for targeting and attribution, replacing third-party cookies at scale.
Algorithmic opacity is masking which creator campaign variables actually drive results, forcing brands to rebuild attribution from the ground up.
Cookies are dying, but preference centers give brands richer, consented data for creator targeting. Here’s how to build the pipes.
Agentic AI audience discovery lets algorithms source, vet, and rank creator partners at scale, but brands still own the compliance risk.
Postr, CreatorIQ, and Grin take different bets on automation, enterprise workflow, and ecommerce. Here’s how to pick the right one.
Citation accuracy separates AEO platforms that protect brand reputation from those quietly feeding AI models bad information.
Preference center data now powers creator audience targeting, replacing cookies with consented, first-party signals brands actually own.