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.
Learn how brand analytics teams should configure Adobe GenStudio’s cross-channel insights dashboard with MNTN CTV data and AI creative signals to build defensible sales attribution models.
Adobe GenStudio’s MNTN integration lets brand strategists trace creator asset performance from CTV impressions to sales lift — here’s how to operationalize it.
A brand strategist’s guide to evaluating CommentSold, Firework, LiveMeUp, Sprii, and TalkShopLive for Meta live commerce creator programs.
AhaCreator’s AI-automated discovery, outreach, and payment tools cut creator program costs dramatically — here’s how it stacks up against manual management at scale.
Google Ask Ad Manager is shifting from suggestions to autonomous decisions. Here’s how brand teams should build governance policies and human override protocols before that transition lands.
Learn how brands can connect Acxiom, Epsilon, LiveRamp, and TransUnion data inside Databricks CustomerLake to build precise creator campaign audiences in minutes.
How brand procurement teams should evaluate AhaCreator’s AI discovery, standardized contracts, and upfront payment rails against the true cost of manual influencer program management.
A brand-side framework for evaluating whether Gradial’s agentic marketing OS delivers real ROI across Adobe, Salesforce, and Databricks—or concentrates vendor risk in your stack.
Audit your campaign infrastructure, data quality, and governance policies now — before Google’s autonomous ad ecosystem makes unpreparedness an expensive problem.
Gradial claims 99% AI agent accuracy. Here’s what that benchmark actually means for brand teams deciding when to remove human review from multi-step campaign workflows.