AdMax Local (AML), a leading digital marketing partner for SMBs, franchises, and multi-location businesses, announced the next evolution of its proprietary Franchise Management Portal (FMP): AI Insights, a new capability delivering automated channel audits, campaign diagnostics, and data-driven recommendations within the platform franchise partners rely on daily.

The FMP was built to solve a persistent challenge in multi-location marketing: fragmented data and inconsistent visibility across dozens or hundreds of locations. It unifies reporting into a single source of truth, giving brands and franchisees clear insight into performance and opportunity.

Through the FMP, franchisee clients can:

• Monitor KPIs like ROAS and lead generation across all locations in real time
• Review targeting strategies deployed on their behalf
• Communicate directly with the AdMax Local team
• Adjust targeting parameters such as zip code coverage
• Turn campaigns on/off or reallocate budgets by location

Introducing AI Insights: A Franchise Business Competitive Edge

AI Insights is an automated auditing engine that proactively analyzes campaigns to identify inefficiencies, flag risks, and recommend improvements. Monthly audits surface issues such as campaign and keyword bloat, cannibalization across keywords or locations, match type hygiene issues, and Quality Score challenges, then deliver prioritized recommendations both clients and the AML team can act on immediately.

"The franchise marketing landscape has never been more competitive, and the margin for wasted spend has never been smaller. With AI Insights built into the FMP, we're giving clients and our team the ability to identify problems and act on opportunities faster than ever. This is what it looks like to put AI to work for our clients."

— Melinda Schwartz-Oliver, Senior Director, Franchise Partnerships, AdMax Local

Brands relying on manual reviews are at a disadvantage to competitors using AI to continuously optimize. AI Insights empowers AdMax Local clients to stay ahead, a meaningful differentiator for multi-location systems where consistency and local performance both matter.