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.
Whalar’s Accenture tie-up creates a full-stack measurement powerhouse. Here’s what it means for brand ROI and which competing platforms must adapt to survive.
A TCO breakdown comparing NemoVideo’s AI-powered product-link-to-ad pipeline against traditional agency retainers — helping brand commerce teams identify when AI wins on cost-per-acquisition.
Brands with rich first-party data are outperforming competitors on AI-driven attribution, personalization, and automation. Here’s how to build that proprietary dataset advantage.
Hospitality and travel brands evaluating Abra AI’s identity resolution platform need a clear framework for unifying guest data, measuring ROI, and avoiding costly compliance blind spots.
Evaluate Adobe’s CX rebuild, identity resolution engines, and autonomous workflow tools as one integrated operating model — not isolated point solutions — to unlock real agentic AI campaign ROI.
Structure creator content with the factual density and technical signals Google’s AI Overviews require to surface your brand in conversational search results.
Learn how to build an AI-powered UGC production pipeline that generates systematic hook, CTA, and pacing variants for strategic A/B testing — not just content volume.
Learn how to build an AI-powered UGC production pipeline that generates strategic hook, CTA, and pacing variants for disciplined A/B testing — not just content volume.
Agentic AI campaigns fail when identity data is broken. Here’s how brand technology leaders should audit their data layer before deploying autonomous marketing systems.
Indeed’s CMO AI model — real-time sales alerts plus dynamic segments — signals how B2B demand gen teams must rebuild lead architecture around behavioral signals, not static forms.