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.
A practical evaluation framework for AI marketing automation decision engines that set timing, frequency, and channel mix without human input.
Google’s tROAS bidding shift on budget-constrained campaigns forces a mid-August recalibration — here’s what brands must audit now.
A practical framework for evaluating no-code AI agent platforms before they touch your marketing data, budget, or brand reputation.
Generative video ads are set to hit 40% of ad inventory this year — here’s how brands should shift production budgets before the shift outpaces them.
A practical framework for auditing martech stack sprawl, cutting redundant tools, and vetting new AI point solutions before you buy.
DSP vs SSP explained for creator-adjacent buys — what analysts must vet before whitelisting sponsored content for paid amplification.
L2T proved AI can personalize creative per dealer at scale. Here’s how CPG brands can apply the same model down to the SKU.
Adaptive identity resolution beats legacy CDPs at unifying creator, paid, and CRM data — here’s how buyers should evaluate the shift.
A practical blueprint for stitching booking-platform data into brand CRMs so commission-based creator deals get attributed correctly, post-cookie.
A practical comparison of AI format-recommendation tools, weighing XR ONE against emerging rivals on CTV, digital, and social prediction accuracy.