Blog

Using Meta's Opportunity Score to Improve Campaigns, Ad Sets, and Ads

Meta’s Opportunity Score is a powerful health check, but how important is a 100 score? Learn how to balance Meta algorithmic health with your advertising strategies.

Safely Scaling Agentic Automation and AI in Advertising: Your 4-Step Framework

Safely scale your agentic advertising strategy. Follow this 4-step framework for unified data, deterministic execution, and reliable AI execution.

Google I/O and Marketing Live 2026: What Large-Scale Advertisers Need to Know

Mike Lane, Fluency’s co-founder and CEO, gives a firsthand analysis of Google’s new AI infrastructure. See what it means for your ad agency's data feeds and operational capacity.

How to Improve Multi-Location Ad Management at Scale: 2 Use Cases for Agentic Automation

Scale multi-location strategies with agentic automation. Learn how two enterprises use operational governance to run complex multi-location campaigns easily.

Automated Enterprise Google Ads Management: A Guide for High-Volume Advertisers

Discover the core best practices for enterprise Google Ads management. Master automated testing, compliance, and multi-location account scaling.

How to Scale Hyper-Local Campaigns Without Brand Risk: Your AI and Automation Playbook

Worried about brand risk? Learn how to scale compliant, hyper-local ad campaigns for franchise and multi-location brands using AI and automation.

Fluency vs. Optmyzr: What's the Difference?

Fluency and Optmyzr both manage paid media but solve different problems. Optmyzr is built for hands-on search optimization. Fluency is built for agentic execution at scale, on Google Ads and every major ad channel.

Fluency vs. Skai: What's the Difference?

Fluency and Skai are both enterprise advertising platforms, but they solve different problems. Here's how to tell them apart and choose which one is right for your team.