Author: 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.
AI video editing platforms promise speed, but brands pay for it in quality gaps. Here’s how to evaluate the tradeoff before you buy.
A practical buyer’s checklist for evaluating AI seasonal video toolkits before committing budget to Halloween, holiday, or trend-driven launches.
Zero click search is breaking attribution models. Here’s how brands measure influencer and AI visibility impact when clicks disappear.
Generative engine optimization certifications are multiplying fast, but hiring managers care more about proven citation wins than badges.
Clipping CPMs run one to five dollars, not fifteen. Here’s how to budget, benchmark, and vet clipping programs without overpaying for views.
Identity resolution vendors compared: why match rate accuracy, not AI model sophistication, decides whether your marketing data actually works.
AI drafts creator content fast, but the 57 percent editing problem shows human review still decides what actually converts.
A practical buyer’s guide to evaluating Vmake Labs and other turnkey AI UGC video studios before committing SMB budget.
Before ditching Marketo for an AI native platform like Phave, brands need a vetting checklist that covers data, compliance, and real ROI.
CRM linked attribution ties creator spend to pipeline and revenue. Here’s how to evaluate platforms before locking in next year’s budget.