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sMedia: Using AI for Instant Advertising Campaign Analysis, Optimizations, and More

Your advertising AI tools should do more than just give generalized, single-channel recommendations. See how Doug McArthur, Senior Digital Advertising Strategist at sMedia, uses Muse to cut out hours of manual filtering and experimentation to manage his clients' campaigns at scale.

Doug shares how he uses Muse within Fluency's Digital Advertising Operating System (DAOS) to: 

  • Bypass manual data analyses: Muse gives teams the "why" behind campaign performance, eliminating hours of digging through different data sources for analysis.
  • Diagnose conflicting ad configurations: Doug can ask Muse why a campaign isn't meeting performing expectations, helping him quickly identify configuration options or settings holding performance back.
  • Solve impression share concerns: When a client is concerned about low impression share, a quick Muse ask can either confirm or deny performance theories with multichannel data.
  • Maximize budget spend across his portfolio: Muse can quickly identify which campaigns are limited by their budget and which ones are pacing too slowly, helping optimize budget allocations across a client's multichannel strategy.
  • Proactively optimize based on market signals: Muse can compare clients of similar sizes, geographies, or goals to inform market performance. This gives Doug and his team data-backed validation to make adjustments that keep every client campaign optimized.

FAQs about Muse, Fluency's AI for advertising operations

What is Muse? 

Muse, Fluency's fully-integrated and secure AI, drastically reduces the time needed for campaign analysis. Since it is part of Fluency's Digital Advertising Operating System (DAOS), Muse has full access to portfolio-wide data across all major ad channels to perform analyses.

What sets Muse apart from other digital advertising AI tools? 

Muse is purpose-built for digital advertising, ensuring that it provides answers and recommendations based only on your data (no external sources) and digital advertising best practices. This means Muse can pull the necessary data for your query, craft the story around it, and properly advise you on what to do based on industry standards. Ad teams can get the answers they need to improve performance in a fraction of the time.by pulling data and creating the story around what it means for strategic adjustments.

Does Muse access outside sources or use external data when analyzing advertising data?

No. Muse is a fully integrated and secure AI that lives within Fluency's Digital Advertising Operating System (DAOS). Muse only analyzes and acts upon your data within the Fluency platform. You can rest assured that your proprietary client data is never exposed to external models or shared with outside sources, mitigating risk and maintaining the highest AI security protocols.

Is Muse effective for identifying budget and pacing issues?

Absolutely. With access to multichannel data for all your accounts and campaigns, Muse is a powerful tool for budget oversight. Muse can identify which campaigns are limited by budget or those that are pacing too slowly to meet monthly flighted budget amounts. This allows ad teams to resolve budget allocation and misalignment issues proactively, across the entire portfolio, before they impact overall account performance.

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